Read the Docs build information
Build id: 4382545
Project: datarobot-public-api-client
Version: early-access
Commit: 977410547a2c3bdaf7a99ed3deac7e2f888fa50b
Date: 2026-08-31T17:30:01.922928Z
State: finished
Success: True


[rtd-command-info] start-time: 2026-08-31T17:30:04.670426Z, end-time: 2026-08-31T17:30:08.213199Z, duration: 3, exit-code: 0
git clone --depth 1 git@github.com:datarobot/public_api_client.git .
Cloning into '.'...
Warning: Permanently added 'github.com' (ED25519) to the list of known hosts.

[rtd-command-info] start-time: 2026-08-31T17:30:08.290257Z, end-time: 2026-08-31T17:30:11.200995Z, duration: 2, exit-code: 0
git fetch origin --force --prune --prune-tags --depth 50 refs/tags/early-access:refs/tags/early-access
Warning: Permanently added 'github.com' (ED25519) to the list of known hosts.
Warning: Permanently added 'github.com' (ED25519) to the list of known hosts.
From github.com:datarobot/public_api_client
 * [new tag]         latest-release -> latest-release
 * [new tag]         v3.18.0        -> v3.18.0
 * [new tag]         v3.18.0rc0     -> v3.18.0rc0
 * [new tag]         v3.19.0rc0     -> v3.19.0rc0

[rtd-command-info] start-time: 2026-08-31T17:30:12.111279Z, end-time: 2026-08-31T17:30:12.714878Z, duration: 0, exit-code: 0
git checkout --force 977410547a2c3bdaf7a99ed3deac7e2f888fa50b
Note: switching to '977410547a2c3bdaf7a99ed3deac7e2f888fa50b'.

You are in 'detached HEAD' state. You can look around, make experimental
changes and commit them, and you can discard any commits you make in this
state without impacting any branches by switching back to a branch.

If you want to create a new branch to retain commits you create, you may
do so (now or later) by using -c with the switch command. Example:

  git switch -c <new-branch-name>

Or undo this operation with:

  git switch -

Turn off this advice by setting config variable advice.detachedHead to false

HEAD is now at 9774105 [CFX-6662][CFX-6660] Update exec-envs related code to match new NBX updates (#4163)

[rtd-command-info] start-time: 2026-08-31T17:30:12.794182Z, end-time: 2026-08-31T17:30:12.835584Z, duration: 0, exit-code: 0
cat .readthedocs.yml
# .readthedocs.yml
# Read the Docs configuration file
# See https://docs.readthedocs.io/en/stable/config-file/v2.html for details

# Required
version: 2

# Build documentation in the docs/ directory with Sphinx
sphinx:
  configuration: sdk_docs/conf.py

# Build documentation with MkDocs
#mkdocs:
#  configuration: mkdocs.yml

# Optionally build your docs in additional formats such as PDF
formats:
  - pdf

# Optionally set the version of Python and requirements required to build your docs
python:
  install:
    - method: pip
      path: .
      extra_requirements:
        - dev

build:
  os: ubuntu-22.04
  tools:
    python: "3.11"

[rtd-command-info] start-time: 2026-08-31T17:30:19.252159Z, end-time: 2026-08-31T17:30:19.371801Z, duration: 0, exit-code: 0
asdf global python 3.11.15


[rtd-command-info] start-time: 2026-08-31T17:30:20.070538Z, end-time: 2026-08-31T17:30:20.926553Z, duration: 0, exit-code: 0
python -mvirtualenv $READTHEDOCS_VIRTUALENV_PATH
created virtual environment CPython3.11.15.final.0-64 in 367ms
  creator CPython3Posix(dest=/home/docs/checkouts/readthedocs.org/user_builds/datarobot-public-api-client/envs/early-access, clear=False, no_vcs_ignore=False, global=False)
  seeder FromAppData(download=False, pip=bundle, setuptools=bundle, wheel=bundle, via=copy, app_data_dir=/home/docs/.local/share/virtualenv)
    added seed packages: pip==23.1, setuptools==67.6.1, wheel==0.40.0
  activators BashActivator,CShellActivator,FishActivator,NushellActivator,PowerShellActivator,PythonActivator

[rtd-command-info] start-time: 2026-08-31T17:30:21.001069Z, end-time: 2026-08-31T17:30:28.574121Z, duration: 7, exit-code: 0
python -m pip install --upgrade --no-cache-dir pip setuptools
Requirement already satisfied: pip in /home/docs/checkouts/readthedocs.org/user_builds/datarobot-public-api-client/envs/early-access/lib/python3.11/site-packages (23.1)
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Requirement already satisfied: setuptools in /home/docs/checkouts/readthedocs.org/user_builds/datarobot-public-api-client/envs/early-access/lib/python3.11/site-packages (67.6.1)
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Installing collected packages: setuptools, pip
  Attempting uninstall: setuptools
    Found existing installation: setuptools 67.6.1
    Uninstalling setuptools-67.6.1:
      Successfully uninstalled setuptools-67.6.1
  Attempting uninstall: pip
    Found existing installation: pip 23.1
    Uninstalling pip-23.1:
      Successfully uninstalled pip-23.1
Successfully installed pip-26.2.1 setuptools-84.0.0

[rtd-command-info] start-time: 2026-08-31T17:30:28.656038Z, end-time: 2026-08-31T17:30:33.623775Z, duration: 4, exit-code: 0
python -m pip install --upgrade --no-cache-dir sphinx
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Installing collected packages: urllib3, sphinxcontrib-serializinghtml, sphinxcontrib-qthelp, sphinxcontrib-jsmath, sphinxcontrib-htmlhelp, sphinxcontrib-devhelp, sphinxcontrib-applehelp, snowballstemmer, roman-numerals, Pygments, packaging, MarkupSafe, imagesize, idna, docutils, charset_normalizer, certifi, babel, alabaster, requests, Jinja2, sphinx

Successfully installed Jinja2-3.1.6 MarkupSafe-3.0.3 Pygments-2.21.0 alabaster-1.0.0 babel-2.18.0 certifi-2026.7.22 charset_normalizer-3.5.1 docutils-0.22.4 idna-3.19 imagesize-2.0.1 packaging-26.3 requests-2.34.2 roman-numerals-4.1.0 snowballstemmer-3.1.1 sphinx-9.0.4 sphinxcontrib-applehelp-2.0.0 sphinxcontrib-devhelp-2.0.0 sphinxcontrib-htmlhelp-2.1.0 sphinxcontrib-jsmath-1.0.1 sphinxcontrib-qthelp-2.0.0 sphinxcontrib-serializinghtml-2.0.0 urllib3-2.7.0

[rtd-command-info] start-time: 2026-08-31T17:30:33.695052Z, end-time: 2026-08-31T17:31:17.936626Z, duration: 44, exit-code: 0
python -m pip install --upgrade --upgrade-strategy only-if-needed --no-cache-dir .[dev]
Processing ./.
  Installing build dependencies: started
  Installing build dependencies: finished with status 'done'
  Getting requirements to build wheel: started
  Getting requirements to build wheel: finished with status 'done'
  Preparing metadata (pyproject.toml): started
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Requirement already satisfied: requests>=2.28.1 in /home/docs/checkouts/readthedocs.org/user_builds/datarobot-public-api-client/envs/early-access/lib/python3.11/site-packages (from datarobot==3.19.0rc0) (2.34.2)
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Building wheels for collected packages: datarobot, jupyter_contrib_nbextensions, jupyter_contrib_core
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Successfully built datarobot jupyter_contrib_nbextensions jupyter_contrib_core
Installing collected packages: types-urllib3, types-PyYAML, types-pytz, types-python-dateutil, types-decorator, trafaret, strenum, sly, pytz, py4j, pure-eval, ptyprocess, jupyter_highlight_selected_word, ipython_genutils, websocket-client, webencodings, webcolors, wcwidth, vermin, uri-template, tzdata, typing-extensions, types-requests, traitlets, tornado, toolz, tomli, tabulate, soupsieve, six, send2trash, ruff, rpds-py, roman-numerals-py, rfc3986-validator, pyzmq, pyyaml, python-json-logger, python-dotenv, pyjson5, pyenchant, pycparser, pyasn1, pyarrow, py-walk, psutil, protobuf, prometheus-client, pluggy, platformdirs, Pillow, pexpect, pathspec, parso, pandocfilters, overrides, numpy, nest-asyncio2, mypy_extensions, mistune, mdurl, lxml, lark, jupyterlab-pygments, jsonpointer, json5, ipython-pygments-lexers, iniconfig, h11, greenlet, fsspec, fqdn, fastjsonschema, executing, docutils, defusedxml, debugpy, coverage, comm, click, attrs, async-lru, asttokens, annotated-types, typing-inspection, tinycss2, terminado, stack_data, sqlalchemy, Sphinx, rfc3987-syntax, rfc3339-validator, responses, requests_toolbelt, referencing, python-dateutil, pytest, pydantic-core, pyasn1-modules, prompt_toolkit, mypy, matplotlib-inline, markdown-it-py, jupyter-core, jedi, httpcore, grpcio, googleapis-common-protos, columnar, cffi, bleach, beautifulsoup4, application-properties, application-file-scanner, anyio, sphinxcontrib-spelling, sphinxcontrib-jquery, sphinx-multitoc-numbering, sphinx-markdown-builder, sphinx-copybutton, sphinx-autodoc-typehints, pytest-cov, pytest-asyncio, pymarkdownlnt, pydantic, pandas, mdit-py-plugins, jupyter-server-terminals, jupyter-client, jupyter-builder, jsonschema-specifications, ipython, httpx, grpcio-status, cryptography, arrow, argon2-cffi-bindings, sphinx_rtd_theme, sphinx-external-toc, respx, pydantic-settings, myst-parser, jsonschema, joserfc, isoduration, ipykernel, google-auth, datarobot, argon2-cffi, nbformat, databricks-sdk, authlib, nbclient, jupyter-events, databricks-connect, nbconvert, nbsphinx, jupyter-server, notebook-shim, jupyterlab-server, jupyter-lsp, jupyterlab, notebook, jupyter_contrib_core, jupyter_nbextensions_configurator, jupyter_contrib_nbextensions
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    Uninstalling Sphinx-9.0.4:
      Successfully uninstalled Sphinx-9.0.4

Successfully installed Pillow-10.4.0 Sphinx-8.2.3 annotated-types-0.8.0 anyio-4.14.2 application-file-scanner-0.6.4 application-properties-0.9.3 argon2-cffi-25.1.0 argon2-cffi-bindings-26.1.0 arrow-1.4.0 asttokens-3.0.2 async-lru-2.3.0 attrs-26.1.0 authlib-1.8.0 beautifulsoup4-4.15.0 bleach-6.4.0 cffi-2.1.1 click-8.5.0 columnar-1.4.1 comm-0.2.3 coverage-7.16.0 cryptography-50.0.1 databricks-connect-16.1.7 databricks-sdk-0.133.0 datarobot-3.19.0rc0 debugpy-1.8.21 defusedxml-0.7.1 docutils-0.21.2 executing-2.2.1 fastjsonschema-2.22.2 fqdn-1.5.1 fsspec-2026.7.0 google-auth-2.57.0 googleapis-common-protos-1.75.2 greenlet-3.5.5 grpcio-1.83.1 grpcio-status-1.83.1 h11-0.16.0 httpcore-1.0.9 httpx-0.28.1 iniconfig-2.3.0 ipykernel-7.3.0 ipython-9.17.0 ipython-pygments-lexers-1.1.1 ipython_genutils-0.2.0 isoduration-20.11.0 jedi-0.20.0 joserfc-1.7.5 json5-0.15.0 jsonpointer-3.1.1 jsonschema-4.26.0 jsonschema-specifications-2025.9.1 jupyter-builder-1.2.2 jupyter-client-8.10.0 jupyter-core-5.9.1 jupyter-events-0.12.1 jupyter-lsp-2.3.1 jupyter-server-2.21.0 jupyter-server-terminals-0.5.4 jupyter_contrib_core-0.4.2 jupyter_contrib_nbextensions-0.7.0 jupyter_highlight_selected_word-0.2.0 jupyter_nbextensions_configurator-0.6.4 jupyterlab-4.6.3 jupyterlab-pygments-0.3.0 jupyterlab-server-2.28.0 lark-1.3.1 lxml-6.1.2 markdown-it-py-3.0.0 matplotlib-inline-0.2.2 mdit-py-plugins-0.6.1 mdurl-0.1.2 mistune-3.3.4 mypy-1.16.0 mypy_extensions-1.1.0 myst-parser-4.0.0 nbclient-0.11.0 nbconvert-7.17.1 nbformat-5.11.1 nbsphinx-0.9.8 nest-asyncio2-1.7.2 notebook-7.6.2 notebook-shim-0.2.4 numpy-1.26.4 overrides-7.7.0 pandas-3.0.5 pandocfilters-1.5.1 parso-0.8.7 pathspec-1.1.1 pexpect-4.9.0 platformdirs-4.11.5 pluggy-1.6.0 prometheus-client-0.26.0 prompt_toolkit-3.0.53 protobuf-6.33.6 psutil-7.2.2 ptyprocess-0.7.0 pure-eval-0.2.3 py-walk-0.3.3 py4j-0.10.9.7 pyarrow-25.0.1 pyasn1-0.6.4 pyasn1-modules-0.4.2 pycparser-3.0 pydantic-2.13.5 pydantic-core-2.46.5 pydantic-settings-2.15.0 pyenchant-3.2.2 pyjson5-2.0.1 pymarkdownlnt-0.9.39 pytest-8.3.5 pytest-asyncio-0.21.1 pytest-cov-7.1.0 python-dateutil-2.9.0.post0 python-dotenv-1.2.3 python-json-logger-4.2.0 pytz-2026.3.post1 pyyaml-6.0.3 pyzmq-27.2.0 referencing-0.37.0 requests_toolbelt-1.0.0 responses-0.21.0 respx-0.23.1 rfc3339-validator-0.1.4 rfc3986-validator-0.1.1 rfc3987-syntax-1.1.0 roman-numerals-py-4.1.0 rpds-py-2026.6.3 ruff-0.16.0 send2trash-2.1.0 six-1.17.0 sly-0.5 soupsieve-2.9.2 sphinx-autodoc-typehints-3.5.2 sphinx-copybutton-0.5.2 sphinx-external-toc-1.1.0 sphinx-markdown-builder-0.6.11 sphinx-multitoc-numbering-0.1.3 sphinx_rtd_theme-3.1.0 sphinxcontrib-jquery-4.1 sphinxcontrib-spelling-8.0.2 sqlalchemy-2.0.52 stack_data-0.6.3 strenum-0.4.15 tabulate-0.10.0 terminado-0.18.1 tinycss2-1.5.1 tomli-2.4.1 toolz-1.1.0 tornado-6.5.8 trafaret-2.1.1 traitlets-5.16.1 types-PyYAML-6.0.12 types-decorator-5.1.8 types-python-dateutil-2.8.19 types-pytz-2022.2.1.0 types-requests-2.28.11 types-urllib3-1.26.25 typing-extensions-4.16.0 typing-inspection-0.4.4 tzdata-2026.3 uri-template-1.3.0 vermin-1.8.0 wcwidth-0.8.3 webcolors-25.10.0 webencodings-0.6.1 websocket-client-1.9.2

[rtd-command-info] start-time: 2026-08-31T17:31:18.150858Z, end-time: 2026-08-31T17:31:18.188828Z, duration: 0, exit-code: 0
cat sdk_docs/conf.py
#
# Copyright 2021-2025 DataRobot, Inc. and its affiliates.
#
# All rights reserved.
#
# DataRobot, Inc.
#
# This is proprietary source code of DataRobot, Inc. and its
# affiliates.
#
# Released under the terms of DataRobot Tool and Utility Agreement.
#
# DataRobot Python API documentation build configuration file, created by
# sphinx-quickstart on Mon Mar 16 10:50:19 2015.
#
# This file is execfile()d with the current directory set to its containing dir.
#
# Note that not all possible configuration values are present in this
# autogenerated file.
#
# All configuration values have a default; values that are commented out
# serve to show the default.
from __future__ import annotations

import os
import shutil
import sys

from sphinx.application import Sphinx
from sphinx_markdown_builder.translator import MarkdownTranslator

sys.path.insert(0, os.path.abspath("."))
from utils import (  # noqa
    better_versionmodified,
    depart_admonition,
    depart_desc_signature,
    visit_admonition,
)

sys.path.insert(0, os.path.abspath(".."))
from datarobot import __version__ as version  # noqa

# Make sure magic 'tags' field is defined.
# (Not actually useful but makes Cython and pylint errors go away.)
if "tags" not in locals():
    tags = None
if tags is not None and "b" not in version:
    # mainline quarterly releases never have the beta "b" in the version, only internal & weekly do
    tags.add("exclude_experimental_docs")

# Copy the changelog to the docs directory so sphinx will include it
root_dir = os.path.abspath(os.path.dirname(os.path.dirname(__file__)))
changelog_path = os.path.join(root_dir, "CHANGES.md")
dest_path = os.path.join(root_dir, "sdk_docs", "CHANGES.md")
assert os.path.isfile(changelog_path)
shutil.copyfile(changelog_path, dest_path)

# -- General configuration -----------------------------------------------------

# If your documentation needs a minimal Sphinx version, state it here.
needs_sphinx = "8.1.3"

# Add any Sphinx extension module names here, as strings. They can be extensions
# coming with Sphinx (named 'sphinx.ext.*') or your custom ones.
extensions = [
    "sphinxcontrib.spelling",
    "sphinx.ext.autodoc",
    "sphinx.ext.napoleon",
    "sphinx.ext.autosummary",
    "sphinx.ext.doctest",
    "nbsphinx",
    "sphinx_markdown_builder",
    "sphinx.ext.intersphinx",
    "sphinx_autodoc_typehints",
    "myst_parser",
    "sphinx_copybutton",
    "sphinx_external_toc",
]

myst_enable_extensions = [
    "amsmath",
    "attrs_inline",
    "colon_fence",
    "deflist",
    "dollarmath",
    "fieldlist",
    "html_admonition",
    "html_image",
    # "linkify",
    "replacements",
    "smartquotes",
    "strikethrough",
    "substitution",
    "tasklist",
]
# AUTODOC SETUP
# MyST options

autosummary_generate = False
autodoc_class_signature = "separated"

autodoc_default_options = {
    # model_config is pydantic boilerplate, not part of our public API. Its docstring
    # comes from pydantic and is written in markdown, so it renders as a broken link.
    "exclude-members": "__init__, schema, __new__, __init_subclass__, model_config",
}

autodoc_member_order = "bysource"

# NAPOLEON SETUP
napoleon_numpy_docstring = True
napoleon_use_param = True
napoleon_use_keyword = True
napoleon_use_rtype = True
napoleon_use_ivar = True
napoleon_preprocess_types = True
napoleon_attr_annotations = False
napoleon_use_admonition_for_examples = True
napoleon_use_admonition_for_notes = True
napoleon_use_admonition_for_references = True

nbsphinx_execute = "never"

# Add any paths that contain templates here, relative to this directory.
templates_path = ["_templates"]

# The suffix of source filenames.
source_suffix = {
    ".rst": "restructuredtext",
    ".md": "markdown",
}

# TODO: Cleanup all errors and warnings ATM supress some of them
# # Suppress specific warnings
suppress_warnings = [
    "ref.python",
    "ref.class",
    "ref.exc",
    "ref.meth",
    "autodoc",
    # opentelemetry-sdk is an optional extra — not installed in the docs build env.
    # sphinx_autodoc_typehints raises these two when it encounters the guarded import.
    "sphinx_autodoc_typehints.guarded_import",
    "sphinx_autodoc_typehints.forward_reference",
]  # Suppress warnings about missing references

# Showing automatically documented members in same order as they are in source

# The encoding of source files.
# source_encoding = 'utf-8-sig'

# The master toctree document.
master_doc = "index"

# The version info for the project you're documenting, acts as replacement for
# |version| and |release|, also used in various other places throughout the
# built documents.
#
# Thes are both the full X.Y.Z version, including alpha/beta/rc tags.
# We think Sphinx probably wants both to be defined.
release = version

project = "DataRobot Python Client"
copyright = "2019, DataRobot, Inc"


# The language for content autogenerated by Sphinx. Refer to documentation
# for a list of supported languages.
# language = None

# There are two options for replacing |today|: either, you set today to some
# non-false value, then it is used:
# today = ''
# Else, today_fmt is used as the format for a strftime call.
# today_fmt = '%B %d, %Y'

# List of patterns, relative to source directory, that match files and
# directories to ignore when looking for source files.
exclude_patterns = ["_build", "**/.ipynb_checkpoints"]

# The reST default role (used for this markup: `text`) to use for all documents.
# default_role = None

# If true, '()' will be appended to :func: etc. cross-reference text.
# add_function_parentheses = True

# If true, the current module name will be prepended to all description
# unit titles (such as .. function::).
# add_module_names = True

# If true, sectionauthor and moduleauthor directives will be shown in the
# output. They are ignored by default.
# show_authors = False

# The name of the Pygments (syntax highlighting) style to use.
pygments_style = "sphinx"

# A list of ignored prefixes for module index sorting.
# modindex_common_prefix = []

# -- Options for Sphinx External TOC -------------------------------------------
external_toc_path = "_toc.yml"  # optional, default: _toc.yml
external_toc_exclude_missing = False  # optional, default: False


# -- Options for HTML output ---------------------------------------------------

# The theme to use for HTML and HTML Help pages.  See the documentation for
# a list of builtin themes.

html_theme = "sphinx_rtd_theme"

# Theme options are theme-specific and customize the look and feel of a theme
# further.  For a list of options available for each theme, see the
# documentation.
# html_theme_options = {}

# Add any paths that contain custom themes here, relative to this directory.
# html_theme_path = []

# The name for this set of Sphinx documents.  If None, it defaults to
# "<project> v<release> documentation".
# html_title = None

# A shorter title for the navigation bar.  Default is the same as html_title.
# html_short_title = None

# The name of an image file (relative to this directory) to place at the top
# of the sidebar.
# html_logo = None

# The name of an image file (within the static path) to use as favicon of the
# docs.  This file should be a Windows icon file (.ico) being 16x16 or 32x32
# pixels large.
# html_favicon = None

# Add any paths that contain custom static files (such as style sheets) here,
# relative to this directory. They are copied after the builtin static files,
# so a file named "default.css" will overwrite the builtin "default.css".
html_static_path = ["_static"]
html_extra_path = ["_html"]

# If not '', a 'Last updated on:' timestamp is inserted at every page bottom,
# using the given strftime format.
# html_last_updated_fmt = '%b %d, %Y'

# If true, SmartyPants will be used to convert quotes and dashes to
# typographically correct entities.
# html_use_smartypants = True

# Custom sidebar templates, maps document names to template names.
# html_sidebars = {}

# Additional templates that should be rendered to pages, maps page names to
# template names.
# html_additional_pages = {}

# If false, no module index is generated.
# html_domain_indices = True

# If false, no index is generated.
# html_use_index = True

# If true, the index is split into individual pages for each letter.
# html_split_index = False

# If true, links to the reST sources are added to the pages.
# html_show_sourcelink = True

# If true, "Created using Sphinx" is shown in the HTML footer. Default is True.
# html_show_sphinx = True

# If true, "(C) Copyright ..." is shown in the HTML footer. Default is True.
# html_show_copyright = True

# If true, an OpenSearch description file will be output, and all pages will
# contain a <link> tag referring to it.  The value of this option must be the
# base URL from which the finished HTML is served.
# html_use_opensearch = ''

# This is the file name suffix for HTML files (e.g. ".xhtml").
# html_file_suffix = None

# Output file base name for HTML help builder.
htmlhelp_basename = "DataRobotPythonDoc"


# -- Options for Markdown output -----------------------------------------------
# Adapted from https://github.com/liran-funaro/sphinx-markdown-builder?tab=readme-ov-file#configurations

# If set to True, then anchors will be added before each section/function/class signature.
# This allows references to a specific anchor in the document.
# markdown_anchor_sections: True
# markdown_anchor_signatures: True

# If set to True, adds metadata to the top of each document containing author, copyright,
# and version.
markdown_docinfo: True

# If set, all references will link to this prefix address.
# markdown_http_base: "https://your-domain.com/docs"

# If set, all references will link to documents with this suffix.
# markdown_uri_doc_suffix: ".html"

# -- Options for LaTeX output --------------------------------------------------

# latex_elements = {
#     The paper size ('letterpaper' or 'a4paper').
#     'papersize': 'letterpaper',

#     The font size ('10pt', '11pt' or '12pt').
#     'pointsize': '10pt',

#     Additional stuff for the LaTeX preamble.
#     'preamble': '',
# }

fh = open("latex_preamble.tex", "r+")
PREAMBLE = fh.read()
fh.close()
latex_elements = {
    "inputenc": "",
    "utf8extra": "",
    "preamble": PREAMBLE,
}

# Grouping the document tree into LaTeX files. List of tuples
# (source start file, target name, title, author, documentclass [howto/manual]).
latex_documents = [
    (
        "index",
        f"DataRobotPython_{version}_Docs.tex",
        "DataRobot Python API Documentation",
        "DataRobot, Inc.",
        "manual",
    ),
]

# The name of an image file (relative to this directory) to place at the top of
# the title page.
# latex_logo = None

# For "manual" documents, if this is true, then toplevel headings are parts,
# not chapters.
# latex_use_parts = False

# If true, show page references after internal links.
# latex_show_pagerefs = False

# If true, show URL addresses after external links.
# latex_show_urls = False

# Documents to append as an appendix to all manuals.
# latex_appendices = []

# If false, no module index is generated.
# latex_domain_indices = True


# -- Options for manual page output --------------------------------------------

# One entry per manual page. List of tuples
# (source start file, name, description, authors, manual section).
man_pages = [("index", "datarobotpython", "DataRobot Python API Documentation", ["DataRobot, Inc."], 1)]

# If true, show URL addresses after external links.
# man_show_urls = False


# -- Options for Texinfo output ------------------------------------------------

# Grouping the document tree into Texinfo files. List of tuples
# (source start file, target name, title, author,
#  dir menu entry, description, category)
texinfo_documents = [
    (
        "index",
        "DataRobotPython",
        "DataRobot Python API Documentation",
        "DataRobot, Inc.",
        "DataRobotPython",
        "One line description of project.",
        "Miscellaneous",
    ),
]

# Documents to append as an appendix to all manuals.
# texinfo_appendices = []

# If false, no module index is generated.
# texinfo_domain_indices = True

# How to display URL addresses: 'footnote', 'no', or 'inline'.
# texinfo_show_urls = 'footnote'

# Nitpick targets to ignore:
# These are third-party packages that don't expose documentation for sphinx to link

nitpick_ignore = [
    ("py:class", "opentelemetry.sdk.resources.Resource"),
    ("py:data", "typing.Callable"),
    ("py:data", "typing.Tuple"),
    ("py:data", "typing.Optional"),
    ("py:data", "typing.Union"),
    ("py:data", "typing.NoReturn"),
    ("py:data", "typing.Any"),
    ("py:data", "typing.Literal"),
    ("py:data", "Ellipsis"),
    ("py:obj", "True"),
    ("py:class", "typing.Self"),
    ("py:class", "pandas.core.frame.DataFrame"),
    ("py:class", "requests.models.Response"),
    ("py:class", "datetime.datetime"),
    ("py:class", "PIL.Image.Image"),
    ("py:class", "collections.OrderedDict"),
]

# options for spelling
spelling_ignore_contributor_names = False
spelling_add_pypi_package_names = True
spelling_ignore_importable_modules = True
spelling_ignore_python_builtins = True
spelling_ignore_wiki_words = True
spelling_filters = [
    "sdk_docs.spelling_filters.filters.DocstringFilePathFilter",
    "sdk_docs.spelling_filters.filters.TypeAnnotationFilter",
    "sdk_docs.spelling_filters.filters.CamelCaseFilter",
    "sdk_docs.spelling_filters.filters.SortOrderFilter",
    "sdk_docs.spelling_filters.filters.OrdinalFilter",
    "sdk_docs.spelling_filters.filters.ObjectIdFilter",
    "sdk_docs.spelling_filters.filters.DayMonthFilter",
    "sdk_docs.spelling_filters.filters.DataRobotParameterFilter",
]

# by default, we render the experimental docs. in the case of stable
# releases, a la v3.6.4, we should exclude them at build time and from
# the toctree.
if "exclude_experimental_docs" in tags:
    # suppressing etoc.ref warnings like:
    # WARNING: toctree contains reference to nonexisting document 'experimental/index' [etoc.ref] [docutils]
    # WARNING: toctree contains reference to nonexisting document 'experimental/enums' [etoc.ref] [docutils]
    # I wish we could take a more precise approach to this.
    suppress_warnings.append("etoc.ref")
    # excluding the experimental folder ensures these files aren't built, period
    exclude_patterns.append("experimental")


def setup(app: Sphinx) -> None:
    MarkdownTranslator.visit_versionmodified = better_versionmodified
    # overwrite level of rubric to match markdown
    MarkdownTranslator.visit_admonition = visit_admonition
    MarkdownTranslator.depart_admonition = depart_admonition
    MarkdownTranslator.depart_desc_signature = depart_desc_signature

    app.add_css_file("css/tight_table.css")

[rtd-command-info] start-time: 2026-08-31T17:31:18.423705Z, end-time: 2026-08-31T17:32:12.645381Z, duration: 54, exit-code: 0
python -m sphinx -T -b html -d _build/doctrees -D language=en . $READTHEDOCS_OUTPUT/html
Running Sphinx v8.2.3
You have imported from the _experimental directory.
This directory is used for unreleased datarobot features.
Unless you specifically know better, you don't have the access to use this functionality in the app, so this code will not work.
loading translations [en]... done
Initializing Spelling Checker 8.0.2
making output directory... done
Writing evaluated template result to /home/docs/checkouts/readthedocs.org/user_builds/datarobot-public-api-client/checkouts/early-access/_readthedocs/html/_static/nbsphinx-code-cells.css
myst v4.0.0: MdParserConfig(commonmark_only=False, gfm_only=False, enable_extensions={'deflist', 'html_admonition', 'amsmath', 'replacements', 'smartquotes', 'fieldlist', 'dollarmath', 'strikethrough', 'html_image', 'tasklist', 'substitution', 'attrs_inline', 'colon_fence'}, disable_syntax=[], all_links_external=False, links_external_new_tab=False, url_schemes=('http', 'https', 'mailto', 'ftp'), ref_domains=None, fence_as_directive=set(), number_code_blocks=[], title_to_header=False, heading_anchors=0, heading_slug_func=None, html_meta={}, footnote_sort=True, footnote_transition=True, words_per_minute=200, substitutions={}, linkify_fuzzy_links=True, dmath_allow_labels=True, dmath_allow_space=True, dmath_allow_digits=True, dmath_double_inline=False, update_mathjax=True, mathjax_classes='tex2jax_process|mathjax_process|math|output_area', enable_checkboxes=False, suppress_warnings=[], highlight_code_blocks=True)
sphinx-multitoc-numbering v0.1.3: Loaded
building [mo]: targets for 0 po files that are out of date
writing output... 
building [html]: targets for 90 source files that are out of date
updating environment: [new config] 90 added, 0 changed, 0 removed
reading sources... [  1%] CHANGES
reading sources... [  2%] api-object
reading sources... [  3%] app-framework
reading sources... [  4%] application-templates
reading sources... [  6%] applications
reading sources... [  7%] batch-monitoring
reading sources... [  8%] batch-predictions
reading sources... [  9%] binary_data_helpers
reading sources... [ 10%] blueprints
reading sources... [ 11%] challenger-models
reading sources... [ 12%] client-setup
reading sources... [ 13%] compliance-documentation
reading sources... [ 14%] credentials
reading sources... [ 16%] custom-application-sources
reading sources... [ 17%] custom-applications
reading sources... [ 18%] custom-metrics
reading sources... [ 19%] custom-models
reading sources... [ 20%] custom_scoring_metrics
reading sources... [ 21%] data-connectivity
reading sources... [ 22%] data-exploration
reading sources... [ 23%] data-registry
reading sources... [ 24%] data-wrangling
reading sources... [ 26%] datarobot-models
reading sources... [ 27%] deployment-management
reading sources... [ 28%] errors
reading sources... [ 29%] features
reading sources... [ 30%] file-system
reading sources... [ 31%] gen-llm-generation
reading sources... [ 32%] gen-moderation
reading sources... [ 33%] gen-prompting
reading sources... [ 34%] gen-syftr-search
reading sources... [ 36%] gen-testing
reading sources... [ 37%] gen-vector-databases
reading sources... [ 38%] index
reading sources... [ 39%] insights
reading sources... [ 40%] jobs
reading sources... [ 41%] key_values
reading sources... [ 42%] memory
reading sources... [ 43%] mlops_event
reading sources... [ 44%] notebooks
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reading sources... [ 47%] reference/admin/credentials
reading sources... [ 48%] reference/admin/index
reading sources... [ 49%] reference/admin/sharing
reading sources... [ 50%] reference/data/database_connectivity
reading sources... [ 51%] reference/data/dataset
reading sources... [ 52%] reference/data/feature_discovery
reading sources... [ 53%] reference/data/index
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reading sources... [ 64%] reference/mlops/model_registry
reading sources... [ 66%] reference/modeling/blueprint
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reading sources... [ 69%] reference/modeling/insights/external_testset
reading sources... [ 70%] reference/modeling/insights/index
reading sources... [ 71%] reference/modeling/insights/model_performance_insights
reading sources... [ 72%] reference/modeling/insights/prediction_explanations
reading sources... [ 73%] reference/modeling/insights/rating_table
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[rtd-command-info] start-time: 2026-08-31T17:32:12.726174Z, end-time: 2026-08-31T17:32:45.281558Z, duration: 32, exit-code: 0
python -m sphinx -T -b latex -d _build/doctrees -D language=en . $READTHEDOCS_OUTPUT/pdf
Running Sphinx v8.2.3
You have imported from the _experimental directory.
This directory is used for unreleased datarobot features.
Unless you specifically know better, you don't have the access to use this functionality in the app, so this code will not work.
loading translations [en]... done
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making output directory... done
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done
myst v4.0.0: MdParserConfig(commonmark_only=False, gfm_only=False, enable_extensions={'strikethrough', 'substitution', 'html_image', 'replacements', 'html_admonition', 'smartquotes', 'dollarmath', 'colon_fence', 'attrs_inline', 'tasklist', 'deflist', 'amsmath', 'fieldlist'}, disable_syntax=[], all_links_external=False, links_external_new_tab=False, url_schemes=('http', 'https', 'mailto', 'ftp'), ref_domains=None, fence_as_directive=set(), number_code_blocks=[], title_to_header=False, heading_anchors=0, heading_slug_func=None, html_meta={}, footnote_sort=True, footnote_transition=True, words_per_minute=200, substitutions={}, linkify_fuzzy_links=True, dmath_allow_labels=True, dmath_allow_space=True, dmath_allow_digits=True, dmath_double_inline=False, update_mathjax=True, mathjax_classes='tex2jax_process|mathjax_process|math|output_area', enable_checkboxes=False, suppress_warnings=[], highlight_code_blocks=True)
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processing DataRobotPython_3.19.0rc0_Docs.tex... 
index
 reference/index
 reference/data/index
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 reference/modeling/index
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   reference/modeling/insights/external_testset
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   reference/modeling/insights/prediction_explanations
   reference/modeling/insights/rating_table
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  reference/modeling/spec/index
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   reference/modeling/spec/custom_task
   reference/modeling/spec/datetime_partition
   reference/modeling/spec/monotonic_constraints
   reference/modeling/spec/segmented_modeling
   reference/modeling/spec/time_series
   reference/modeling/spec/unsupervised_anomaly
   reference/modeling/spec/unsupervised_clustering
   reference/modeling/spec/visualai
  reference/modeling/job
  reference/modeling/prime
  reference/modeling/model_recommendation
 reference/predictions/index
  reference/predictions/predict_job
  reference/predictions/batch_predictions
 reference/mlops/index
  reference/mlops/deployment
  reference/mlops/data_exports
  reference/mlops/custom_metrics
  reference/mlops/custom_model
  reference/mlops/jobs
  reference/mlops/model_registry
  reference/mlops/key_values
  reference/mlops/a2a_agents
 reference/admin/index
  reference/admin/credentials
  reference/admin/sharing
 reference/use_cases/index
  reference/use_cases/use_cases
  client-setup
  api-object
  app-framework
  application-templates
  applications
  batch-monitoring
  batch-predictions
  binary_data_helpers
  blueprints
  challenger-models
  compliance-documentation
  credentials
  custom-metrics
  custom_scoring_metrics
  custom-models
  custom-applications
  custom-application-sources
  data-connectivity
  data-exploration
  data-registry
  data-wrangling
  datarobot-models
  deployment-management
  errors
  features
  file-system
  gen-llm-generation
  gen-prompting
  gen-vector-databases
  gen-testing
  gen-moderation
  gen-syftr-search
  insights
  jobs
  key_values
  memory
  mlops_event
  notebooks
  projects
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build succeeded.

The LaTeX files are in ../_readthedocs/pdf.
Run 'make' in that directory to run these through (pdf)latex
(use `make latexpdf' here to do that automatically).

[rtd-command-info] start-time: 2026-08-31T17:32:46.441170Z, end-time: 2026-08-31T17:32:46.479630Z, duration: 0, exit-code: 0
cat latexmkrc
$latex = 'latex ' . $ENV{'LATEXOPTS'} . ' %O %S';
$pdflatex = 'pdflatex ' . $ENV{'LATEXOPTS'} . ' %O %S';
$lualatex = 'lualatex ' . $ENV{'LATEXOPTS'} . ' %O %S';
$xelatex = 'xelatex --no-pdf ' . $ENV{'LATEXOPTS'} . ' %O %S';
$makeindex = 'makeindex -s python.ist %O -o %D %S';
add_cus_dep( "glo", "gls", 0, "makeglo" );
sub makeglo {
 return system( "makeindex -s gglo.ist -o '$_[0].gls' '$_[0].glo'" );
}

[rtd-command-info] start-time: 2026-08-31T17:32:46.559222Z, end-time: 2026-08-31T17:33:27.348267Z, duration: 40, exit-code: 0
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Chapter 5.

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Chapter 6.

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Chapter 7.
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Chapter 10.

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Chapter 17.

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Chapter 18.

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Chapter 19.

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[321] [322]
Chapter 20.
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Chapter 21.

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Chapter 22.

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Chapter 23.
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Chapter 29.

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Chapter 34.
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[887]

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Chapter 40.

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[974] [975] [976]
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[1014] [1015] [1016]

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Chapter 47.
[1081]
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Chapter 48.
[1087]

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Chapter 49.

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Chapter 50.

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.list_runs\T1/qtm/m/n/10 , \T1/txtt/m/n/10 Pipelines.list_schedules\T1/qtm/m/n/
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t_task_result\T1/qtm/m/n/10 , \T1/txtt/m/n/10 Pipelines.get_task_logs\T1/qtm/m/
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[1109]

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l.3802     ├  ├──animal01.jpg
                                      

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l.3805     ├── data.csv
                             

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l.3805     ├── data.csv
                             

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l.3805     ├── data.csv
                             
[58] [59] [60] [61] [62] [63] [64] [65] [66]
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[]\T1/qtm/m/n/10 gap_duration (str): A du-ra-tion string such as those re-turne
d by the [][]\T1/txtt/m/sl/10 partitioning_methods.
[67]
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\T1/qtm/m/n/10 and \T1/txtt/m/n/10 validation_start_date\T1/qtm/m/n/10 . Us-ing
 the same date for both \T1/txtt/m/n/10 primary_training_end_date \T1/qtm/m/n/1
0 and

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\T1/qtm/m/n/10 For date-time par-ti-tioned model you can re-trieve the Ac-cu-ra
cy over Time plot. To do so use

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[][]\T1/txtt/m/sl/10 DatetimeModel.get_accuracy_over_time_plot[][]\T1/qtm/m/n/1
0 . You can also re-trieve the de-tailed meta-data us-ing
[68] [69] [70] [71]

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l.4793 ...gment\PYGZus{}id}\PYG{l+s+s2}{\PYGZdq{}}
                                                  

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l.4793 ...gment\PYGZus{}id}\PYG{l+s+s2}{\PYGZdq{}}
                                                  
[72] [73] [74] [75] [76] [77]
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[][][]\T1/txtt/m/sl/10 datarobot.FeatureSettings[][] \T1/qtm/m/n/10 con-struc-t
or re-ceives \T1/txtt/m/n/10 feature_name \T1/qtm/m/n/10 and set-tings. For now
 set-tings
[78]
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[]\T1/qtm/m/n/10 Enough rows of his-tor-i-cal data must be pro-vided to cover t
he span of the ef-fec-tive Fea-ture Deriva-
[79] [80] [81]
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[]\T1/qtm/m/n/10 Pre-dic-tion in-ter-vals can be cal-cu-lated for a [][]\T1/txt
t/m/sl/10 DatetimeModel[][] \T1/qtm/m/n/10 us-ing the [][]\T1/txtt/m/sl/10 Date
timeModel.
[82] [83] [84]
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[]\T1/qtm/m/n/10 1. Up-load a pre-dic-tion dataset, spec-i-fy-ing \T1/txtt/m/n/
10 predictions_start_date\T1/qtm/m/n/10 , \T1/txtt/m/n/10 predictions_end_date\
T1/qtm/m/n/10 , and
[88]
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[]\T1/qtm/m/n/10 Up-load a pre-dic-tion dataset that con-tains la-bel col-umn(s
), re-quest com-pute ex-ter-nal test on one of
[89] [90] [91] [92] [93] [94] [95]

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l.6674     ├── abyssinian
                               

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l.6678     ├── american\PYGZus{}bulldog
                                             

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l.6679 ...├── american\PYGZus{}bulldog01.jpg
                                                  

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l.6680 ...├── american\PYGZus{}bulldog02.jpg
                                                  

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[96] [97 <./sample1.png>] [98 <./sample2.png>] [99 <./activation_map1.png> <./a
ctivation_map2.png>] [100] [101 <./embeddings.png>] [102] [103] [104] [105]
[106] [107] [108]
Chapter 4.
[109] [110] [111] [112] [113] [114] [115] [116] [117] [118] [119] [120]
[121] [122]
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\T1/txtt/m/n/10 timeseries_settings \T1/qtm/m/n/10 con-fig-ures time se-ries sc
or-ing for [][]\T1/txtt/m/sl/10 BatchPredictionJob.score[][] \T1/qtm/m/n/10 and


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[]\T1/qtm/m/n/10 Set to \T1/txtt/m/n/10 all \T1/qtm/m/n/10 to pass through ev-e
ry scor-ing col-umn. Takes prece-dence over

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[123] [124] [125] [126] [127]
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[]\T1/qtm/m/n/10 In or-der to sched-ule the ex-e-cu-tion of a batch pre-dic-tio
n job, a def-i-ni-tion must first be cre-ated us-

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[]\T1/qtm/m/n/10 Al-ter-na-tively, use a short-hand ver-sion with [][]\T1/txtt/
m/sl/10 datarobot.models.BatchPredictionJobDefinition.
[128]
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\T1/qtm/m/n/10 spec-i-fied by

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\T1/txtt/m/n/10 day_of_week

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\T1/qtm/m/n/10 dates 1st,

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\T1/qtm/m/n/10 2nd, 3rd,

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\T1/qtm/m/n/10 plus ev-ery

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\T1/txtt/m/n/10 day_of_month

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\T1/qtm/m/n/10 is set to

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\T1/txtt/m/n/10 ["*"] \T1/qtm/m/n/10 and

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\T1/txtt/m/n/10 day_of_week

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\T1/qtm/m/n/10 will trig-ger

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\T1/qtm/m/n/10 that matches

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\T1/txtt/m/n/10 day_of_week

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\T1/qtm/m/n/10 Tues-day the

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\T1/qtm/m/n/10 2nd, 9th,

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\T1/qtm/m/n/10 16th, 23rd,

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\T1/qtm/m/n/10 such as
[129]
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[130]
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\T1/qtm/m/n/10 Job def-i-ni-tions are only be ex-e-cuted by the sched-uler if \
T1/txtt/m/n/10 enabled \T1/qtm/m/n/10 is set to \T1/txtt/m/n/10 True\T1/qtm/m/n
/10 . If you have a

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\T1/qtm/m/n/10 job def-i-ni-tion that was pre-vi-ously run-ning as a sched-uled
 job, but should now be stopped, sim-ply
[131] [132]
Chapter 5.
[133] [134] [135] [136] [137] [138] [139] [140] [141] [142] [143] [144]
[145] [146] [147]
Underfull \hbox (badness 10000) in paragraph at lines 10256--10260
\T1/qtm/m/n/10 of [][]\T1/txtt/m/sl/10 datarobot.models.deployment.DeploymentGr
antSharedRoleWithId[][] \T1/qtm/m/n/10 and [][]\T1/txtt/m/sl/10 datarobot.model
s.
[148] [149]
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[150] [151] [152] [153] [154] [155] [156] [157] [158]
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[]\T1/qtm/m/n/10 For deployment-specific met-rics, do not pro-vide model in-for
-ma-tion. For model spe-cific met-rics set
[159] [160]
Underfull \hbox (badness 10000) in paragraph at lines 11037--11039
\T1/qtm/m/n/10 To re-port ag-gre-gated cus-tom met-rics val-ues from a dataset 
in the Data Reg-istry, use the
[161] [162] [163]
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[]\T1/qtm/m/n/10 Re-fer to [][]\T1/txtt/m/sl/10 ExecutionEnvironment[][] \T1/qt
m/m/n/10 for prop-er-ties of the ex-e-cu-tion en-vi-ron-ment ob-ject and
[171] [172] [173] [174] [175] [176] [177] [178] [179] [180] [181] [182]
[183] [184] [185] [186] [187] [188]
Underfull \hbox (badness 10000) in paragraph at lines 12934--12937
\T1/qtm/m/n/10 To cre-ate a hosted cus-tom met-ric job from a gallery tem-plate
, use \T1/txtt/m/n/10 dr.registry.Job.
[189] [190] [191] [192]
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[]\T1/qtm/m/n/10 You can also fil-ter the reg-is-tered model ver-sions that are
 re-turned by pass-ing an in-stance of the
[193] [194] [195] [196] [197] [198] [199] [200]
Chapter 6.
[201] [202] [203] [204] [205] [206] [207] [208] [209] [210]
Chapter 7.
[211] [212] [213] [214]
Underfull \hbox (badness 10000) in paragraph at lines 14616--14619
[]\T1/qtm/m/n/10 Use Cases sup-port \T1/txtt/m/n/10 SHARING_ROLE.OWNER\T1/qtm/m
/n/10 , \T1/txtt/m/n/10 SHARING_ROLE.EDITOR\T1/qtm/m/n/10 , \T1/txtt/m/n/10 SHA
RING_ROLE.CONSUMER \T1/qtm/m/n/10 and
[215] [216]
Chapter 8.
[217] [218] [219] [220]
Chapter 9.
[221] [222]
Chapter 10.

Underfull \hbox (badness 10000) in paragraph at lines 15131--15133
[]\T1/txtt/bx/n/10 file_secret_settings \T1/qtm/m/n/10 (\T1/txtt/m/n/10 Pydanti
cBaseSettingsSource\T1/qtm/m/n/10 ) ^^U The \T1/qtm/m/it/10 Se-crets-Set-
[223] [224]
Underfull \hbox (badness 5460) in paragraph at lines 15318--15320
[]\T1/txtt/bx/n/10 datarobot_endpoint \T1/qtm/m/n/10 (\T1/txtt/m/n/10 str \T1/q
tm/m/n/10 or \T1/txtt/m/n/10 None\T1/qtm/m/n/10 ) ^^U DataRobot API end-point. 
De-faults to

Underfull \hbox (badness 8056) in paragraph at lines 15339--15341
[]\T1/txtt/bx/n/10 llm_default_model \T1/qtm/m/n/10 (\T1/txtt/m/n/10 str \T1/qt
m/m/n/10 or \T1/txtt/m/n/10 None\T1/qtm/m/n/10 ) ^^U Model name to re-quest. De
-faults to
[225] [226]
Chapter 11.
[227] [228] [229] [230]
Chapter 12.
[231] [232]
Chapter 13.
[233] [234] [235] [236] [237] [238] [239] [240] [241] [242] [243] [244]
Chapter 14.
[245] [246] [247] [248]
Underfull \hbox (badness 10000) in paragraph at lines 17568--17571
[]\T1/txtt/bx/n/10 source_url \T1/qtm/m/n/10 (\T1/txtt/m/n/10 str\T1/qtm/m/n/10
 ) ^^U The URL for the pre-dic-tion dataset (e.g.:

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[]\T1/txtt/bx/n/10 destination_url \T1/qtm/m/n/10 (\T1/txtt/m/n/10 str\T1/qtm/m
/n/10 ) ^^U The URL for the scored dataset (e.g.:

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[]\T1/txtt/bx/n/10 source_url \T1/qtm/m/n/10 (\T1/txtt/m/n/10 str\T1/qtm/m/n/10
 ) ^^U The URL for the pre-dic-tion dataset (e.g.:

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[]\T1/txtt/bx/n/10 destination_url \T1/qtm/m/n/10 (\T1/txtt/m/n/10 str\T1/qtm/m
/n/10 ) ^^U The URL for the scored dataset (e.g.:
[249] [250] [251] [252] [253] [254] [255] [256] [257] [258]
Underfull \hbox (badness 10000) in paragraph at lines 18688--18690
\T1/txtt/bx/n/10 ValueError: \T1/qtm/m/n/10 ^^U If the generic Job was not a pr
e-dict job, e.g., job_type !=
[259] [260] [261] [262] [263] [264]
Chapter 15.

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\T1/qtm/m/it/10 tinue_on_error=False\T1/qtm/m/n/10 , 

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\T1/qtm/m/it/10 tinue_on_error=False\T1/qtm/m/n/10 , 
[265]
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\T1/qtm/m/it/10 tinue_on_error=False\T1/qtm/m/n/10 , 
[266] [267] [268]
Chapter 16.
[269] [270] [271]
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[]\T1/txtt/bx/n/10 hex_column_name_lookup \T1/qtm/m/n/10 (\T1/txtt/m/n/10 list[
UserBlueprintsHexColumnNameLookupEntry]\T1/qtm/m/n/10 ,

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[]\T1/txtt/bx/n/10 supported_target_types \T1/qtm/m/n/10 (\T1/txtt/m/n/10 list[
enum(\TS1/txtt/m/n/10 ``\T1/qtm/m/n/10 'binary'\T1/txtt/m/n/10 , \TS1/txtt/m/n/
10 ``'\T1/txtt/m/n/10 multiclass\TS1/txtt/m/n/10 '\T1/qtm/m/n/10 ,
[272] [273] [274] [275]
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[]\T1/txtt/bx/n/10 task_parameters \T1/qtm/m/n/10 (\T1/txtt/m/n/10 list(UserBlu
eprintTaskParameterValidationRequestParamItem)\T1/qtm/m/n/10 )
[276]
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[]\T1/txtt/bx/n/10 share_recipient_type \T1/qtm/m/n/10 (\T1/txtt/m/n/10 enum(\T
S1/txtt/m/n/10 ``\T1/qtm/m/n/10 'user'\T1/txtt/m/n/10 , \TS1/txtt/m/n/10 ``'\T1
/txtt/m/n/10 group\TS1/txtt/m/n/10 '\T1/qtm/m/n/10 , \TS1/txtt/m/n/10 '\T1/txtt
/m/n/10 organization\TS1/txtt/m/n/10 '\T1/txtt/m/n/10 )\T1/qtm/m/n/10 ,
[277]
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[]\T1/txtt/bx/n/10 roles \T1/qtm/m/n/10 (\T1/txtt/m/n/10 list(or(GrantAccessCon
trolWithUsernameValidator\T1/qtm/m/n/10 ,
[278]
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[]\T1/txtt/bx/n/10 added_to_menu \T1/qtm/m/n/10 (\T1/txtt/m/n/10 list(UserBluep
rintAddedToMenuItem)\T1/qtm/m/n/10 ) ^^U A list of

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[]\T1/txtt/bx/n/10 not_added_to_menu \T1/qtm/m/n/10 (\T1/txtt/m/n/10 list(UserB
lueprintNotAddedToMenuItem)\T1/qtm/m/n/10 ) ^^U A list of
[279]
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[]\T1/txtt/bx/n/10 task_parameters \T1/qtm/m/n/10 (\T1/txtt/m/n/10 list(UserBlu
eprintTaskParameterValidationRequestParamItem)\T1/qtm/m/n/10 )
[280]
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[]\T1/txtt/bx/n/10 description \T1/qtm/m/n/10 (\T1/txtt/m/n/10 Optional[str] (D
efault=None)\T1/qtm/m/n/10 ) ^^U The de-scrip-tion of the user
[281] [282] [283]
Underfull \hbox (badness 10000) in paragraph at lines 21637--21642
[]\T1/txtt/bx/n/10 calibrate_predictions \T1/qtm/m/n/10 (\T1/txtt/m/n/10 Option
al[bool]\T1/qtm/m/n/10 ) ^^U Whether anomaly pre-dic-
[284] [285] [286] [287] [288] [289] [290] [291] [292] [293] [294] [295]
[296] [297] [298]
Chapter 17.
[299] [300] [301] [302]
Chapter 18.
[303]
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[304]
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Overfull \vbox (4.48987pt too high) detected at line 24275
[305] [306]
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[]\T1/txtt/m/n/10 List \T1/qtm/m/n/10 of \T1/txtt/m/n/10 AutomatedDocument obje
cts\T1/qtm/m/n/10 , \T1/txtt/m/n/10 where each object contains

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[307] [308] [309] [310] [311] [312]
Chapter 19.
[313] [314] [315] [316] [317] [318] [319] [320]
Underfull \hbox (badness 5475) in paragraph at lines 25790--25792
[]\T1/txtt/bx/n/10 kwargs \T1/qtm/m/n/10 (\T1/txtt/m/n/10 Keyword arguments spe
cific \T1/qtm/m/n/10 to \T1/txtt/m/n/10 the given credential_type that
[321] [322]
Chapter 20.
[323] [324] [325]
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[]\T1/txtt/bx/n/10 time_step \T1/qtm/m/n/10 (\T1/txtt/m/n/10 Optional[CustomMet
ricBucketTimeStep]\T1/qtm/m/n/10 ) ^^U Cus-tom met-ric time
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[330] [331] [332] [333] [334] [335] [336] [337]
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[]\T1/txtt/bx/n/10 metric_type \T1/qtm/m/n/10 (\T1/txtt/m/n/10 Optional[HostedC
ustomMetricsTemplateMetricTypeQueryParams]\T1/qtm/m/n/10 )
[338]
Underfull \hbox (badness 10000) in paragraph at lines 27517--27523
\T1/qtm/m/n/10 Cre-ate a hosted cus-tom met-ric from a tem-plate. A short-cut f
or 2 calls:
[339] [340] [341] [342] [343] [344]
Chapter 21.
[345] [346] [347] [348]
Chapter 22.

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\T1/qtm/m/it/10 datarobot.TARGET_TYPE.MULTICLASS\T1/qtm/m/n/10 , \T1/qtm/m/it/1
0 datarobot.TARGET_TYPE.UNSTRUCTURED\T1/qtm/m/n/10 ,
[349]
Underfull \hbox (badness 10000) in paragraph at lines 28766--28769
[]\T1/txtt/bx/n/10 network_egress_policy \T1/qtm/m/n/10 (\T1/txtt/m/n/10 dataro
bot.NETWORK_EGRESS_POLICY\T1/qtm/m/n/10 , \T1/qtm/m/it/10 op-tional\T1/qtm/m/n/
10 )

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\T1/qtm/m/n/10 ^^U De-ter-mines whether the given cus-tom model is iso-lated, o
r can ac-cess the

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\T1/qtm/m/n/10 pub-lic net-work. Val-ues: [\T1/qtm/m/it/10 datarobot.NETWORK_EG
RESS_POLICY.NONE\T1/qtm/m/n/10 ,

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[]\T1/txtt/bx/n/10 is_training_data_for_versions_permanently_enabled \T1/qtm/m/
n/10 (\T1/txtt/m/n/10 Optional[bool]\T1/qtm/m/n/10 ) ^^U
[350]
Underfull \hbox (badness 10000) in paragraph at lines 28954--28959
[]\T1/txtt/bx/n/10 target_type \T1/qtm/m/n/10 (\T1/txtt/m/n/10 datarobot.TARGET
_TYPE\T1/qtm/m/n/10 ) ^^U Tar-get type of the cus-

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\T1/qtm/m/n/10 tom in-fer-ence model. Val-ues: [\T1/qtm/m/it/10 datarobot.TARGE
T_TYPE.BINARY\T1/qtm/m/n/10 ,

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\T1/qtm/m/it/10 datarobot.TARGET_TYPE.REGRESSION\T1/qtm/m/n/10 , \T1/qtm/m/it/1
0 datarobot.TARGET_TYPE.MULTICLASS\T1/qtm/m/n/10 ,

Overfull \hbox (35.86987pt too wide) in paragraph at lines 28954--28959
\T1/qtm/m/it/10 datarobot.TARGET_TYPE.UNSTRUCTURED\T1/qtm/m/n/10 , \T1/qtm/m/it
/10 datarobot.TARGET_TYPE.TEXT_GENERATION\T1/qtm/m/n/10 ]. 
[351]
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[]\T1/txtt/bx/n/10 network_egress_policy \T1/qtm/m/n/10 (\T1/txtt/m/n/10 dataro
bot.NETWORK_EGRESS_POLICY\T1/qtm/m/n/10 , \T1/qtm/m/it/10 op-tional\T1/qtm/m/n/
10 )

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\T1/qtm/m/n/10 ^^U De-ter-mines whether the given cus-tom model is iso-lated, o
r can ac-cess the

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\T1/qtm/m/n/10 pub-lic net-work. Val-ues: [\T1/qtm/m/it/10 datarobot.NETWORK_EG
RESS_POLICY.NONE\T1/qtm/m/n/10 ,

Underfull \hbox (badness 10000) in paragraph at lines 29010--29013
[]\T1/txtt/bx/n/10 is_training_data_for_versions_permanently_enabled \T1/qtm/m/
n/10 (\T1/txtt/m/n/10 Optional[bool]\T1/qtm/m/n/10 ) ^^U
[352]
Underfull \hbox (badness 10000) in paragraph at lines 29138--29141
[]\T1/txtt/bx/n/10 is_training_data_for_versions_permanently_enabled \T1/qtm/m/
n/10 (\T1/txtt/m/n/10 Optional[bool]\T1/qtm/m/n/10 ) ^^U
[353] [354]
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[]\T1/txtt/bx/n/10 image_type \T1/qtm/m/n/10 (\T1/txtt/m/n/10 str\T1/qtm/m/n/10
 ) ^^U The im-age type, ei-ther CUS-

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\T1/qtm/m/n/10 TOM_MODEL_IMAGE_TYPE.CUSTOM_MODEL_IMAGE if the test-

Underfull \hbox (badness 10000) in paragraph at lines 29391--29396
\T1/qtm/m/n/10 ing at-tempt is us-ing a Cus-tom-Mod-e-lIm-age as its model or C
US-

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[]\T1/txtt/bx/n/10 network_egress_policy \T1/qtm/m/n/10 (\T1/txtt/m/n/10 dataro
bot.NETWORK_EGRESS_POLICY\T1/qtm/m/n/10 , \T1/qtm/m/it/10 op-tional\T1/qtm/m/n/
10 )

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\T1/qtm/m/n/10 ^^U De-ter-mines whether the given cus-tom model is iso-lated, o
r can ac-cess the

Underfull \hbox (badness 10000) in paragraph at lines 29435--29438
\T1/qtm/m/n/10 pub-lic net-work. Val-ues: [\T1/qtm/m/it/10 datarobot.NETWORK_EG
RESS_POLICY.NONE\T1/qtm/m/n/10 ,
[355]
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[]\T1/txtt/bx/n/10 network_egress_policy \T1/qtm/m/n/10 (\T1/txtt/m/n/10 dataro
bot.NETWORK_EGRESS_POLICY\T1/qtm/m/n/10 , \T1/qtm/m/it/10 op-tional\T1/qtm/m/n/
10 )

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\T1/qtm/m/n/10 ^^U De-ter-mines whether the given cus-tom model is iso-lated, o
r can ac-cess the

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\T1/qtm/m/n/10 pub-lic net-work. Val-ues: [\T1/qtm/m/it/10 datarobot.NETWORK_EG
RESS_POLICY.NONE\T1/qtm/m/n/10 ,
[356] [357]
Underfull \hbox (badness 10000) in paragraph at lines 29819--29822
[]\T1/txtt/bx/n/10 network_egress_policy \T1/qtm/m/n/10 (\T1/txtt/m/n/10 dataro
bot.NETWORK_EGRESS_POLICY\T1/qtm/m/n/10 , \T1/qtm/m/it/10 op-tional\T1/qtm/m/n/
10 )

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\T1/qtm/m/n/10 ^^U De-ter-mines whether the given cus-tom model is iso-lated, o
r can ac-cess the

Underfull \hbox (badness 10000) in paragraph at lines 29819--29822
\T1/qtm/m/n/10 pub-lic net-work. Val-ues: [\T1/qtm/m/it/10 datarobot.NETWORK_EG
RESS_POLICY.NONE\T1/qtm/m/n/10 ,
[358]
Underfull \hbox (badness 10000) in paragraph at lines 29929--29936
[]\T1/txtt/bx/n/10 base_environment_version_id \T1/qtm/m/n/10 (\T1/txtt/m/n/10 
str\T1/qtm/m/n/10 ) ^^U The base en-vi-ron-ment ver-sion ID

Underfull \hbox (badness 7468) in paragraph at lines 29929--29936
\T1/qtm/m/n/10 to use with this model ver-sion. At least one of \T1/qtm/m/it/10
 base_environment_id \T1/qtm/m/n/10 and

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[]\T1/txtt/bx/n/10 network_egress_policy \T1/qtm/m/n/10 (\T1/txtt/m/n/10 dataro
bot.NETWORK_EGRESS_POLICY\T1/qtm/m/n/10 , \T1/qtm/m/it/10 op-tional\T1/qtm/m/n/
10 )

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\T1/qtm/m/n/10 ^^U De-ter-mines whether the given cus-tom model is iso-lated, o
r can ac-cess the

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\T1/qtm/m/n/10 pub-lic net-work. Val-ues: [\T1/qtm/m/it/10 datarobot.NETWORK_EG
RESS_POLICY.NONE\T1/qtm/m/n/10 ,
[359] [360]
Underfull \hbox (badness 10000) in paragraph at lines 30125--30132
[]\T1/txtt/bx/n/10 base_environment_version_id \T1/qtm/m/n/10 (\T1/txtt/m/n/10 
str\T1/qtm/m/n/10 ) ^^U The base en-vi-ron-ment ver-sion ID

Underfull \hbox (badness 7468) in paragraph at lines 30125--30132
\T1/qtm/m/n/10 to use with this model ver-sion. At least one of \T1/qtm/m/it/10
 base_environment_id \T1/qtm/m/n/10 and
[361]
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[]\T1/txtt/bx/n/10 network_egress_policy \T1/qtm/m/n/10 (\T1/txtt/m/n/10 dataro
bot.NETWORK_EGRESS_POLICY\T1/qtm/m/n/10 , \T1/qtm/m/it/10 op-tional\T1/qtm/m/n/
10 )

Underfull \hbox (badness 5091) in paragraph at lines 30155--30158
\T1/qtm/m/n/10 ^^U De-ter-mines whether the given cus-tom model is iso-lated, o
r can ac-cess the

Underfull \hbox (badness 10000) in paragraph at lines 30155--30158
\T1/qtm/m/n/10 pub-lic net-work. Val-ues: [\T1/qtm/m/it/10 datarobot.NETWORK_EG
RESS_POLICY.NONE\T1/qtm/m/n/10 ,
[362] [363] [364] [365] [366] [367] [368] [369] [370] [371]
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[]\T1/qtm/m/n/10 Trans-fer ac-cess to the ex-e-cu-tion en-vi-ron-ment from [][]
old_user@datarobot.com[][] to
[372] [373]
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[]\T1/txtt/bx/n/10 build_status \T1/qtm/m/n/10 (\T1/txtt/m/n/10 Optional[str]\T
1/qtm/m/n/10 ) ^^U The build sta-tus of

Underfull \hbox (badness 10000) in paragraph at lines 31846--31849
\T1/qtm/m/n/10 the ex-e-cu-tion en-vi-ron-ment ver-sion to fil-ter by. See

Underfull \hbox (badness 10000) in paragraph at lines 31846--31849
\T1/qtm/m/n/10 datarobot.enums.EXECUTION_ENVIRONMENT_VERSION_BUILD_STATUS
[374] [375] [376] [377] [378]
Chapter 23.
[379] [380] [381] [382]
Chapter 24.
[383] [384] [385] [386] [387] [388]
Chapter 25.
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Underfull \hbox (badness 10000) in paragraph at lines 33902--33904
[]\T1/txtt/bx/n/10 jdbc_url \T1/qtm/m/n/10 (\T1/txtt/m/n/10 str\T1/qtm/m/n/10 )
 ^^U Op-tional. The full JDBC URL (for ex-am-ple:

Underfull \hbox (badness 10000) in paragraph at lines 33910--33913
[]\T1/txtt/bx/n/10 connector_id \T1/qtm/m/n/10 (\T1/txtt/m/n/10 str\T1/qtm/m/n/
10 ) ^^U Op-tional. The iden-ti-fier of the Con-nec-tor when
[394]
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[]\T1/txtt/bx/n/10 jdbc_url \T1/qtm/m/n/10 (\T1/txtt/m/n/10 str\T1/qtm/m/n/10 )
 ^^U Op-tional. The full JDBC URL (for ex-am-ple:
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[407]
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[408] [409] [410] [411] [412] [413] [414] [415] [416]
Chapter 26.
[417] [418] [419] [420] [421] [422]
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[] \T1/txtt/m/n/10 code[]block:\T1/qtm/m/n/10 : \T1/txtt/m/n/10 python \T1/qtm/
m/n/10 ^^U from datarobot.models.deployment

Underfull \hbox (badness 10000) in paragraph at lines 36761--36764
\T1/qtm/m/n/10 im-port Train-ing-Data-Ex-port dataset_id = Train-ing-Data-Ex-
[423] [424]
Chapter 27.
[425] [426] [427] [428] [429] [430] [431] [432] [433] [434]
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[435] [436] [437] [438] [439] [440] [441] [442] [443] [444] [445] [446]
[447] [448] [449] [450]
Chapter 28.
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[]\T1/txtt/bx/n/10 materialization_destination \T1/qtm/m/n/10 (\T1/txtt/m/n/10 
Optional\T1/qtm/m/n/10 [\T1/txtt/m/n/10 MaterializationDestination\T1/qtm/m/n/1
0 ]) ^^U
[456]
(/usr/share/texlive/texmf-dist/tex/latex/fontawesome5/ufontawesomefree2.fd)
[457] [458] [459] [460] [461] [462] [463] [464] [465] [466] [467] [468]
[469] [470] [471] [472]
Underfull \hbox (badness 10000) in paragraph at lines 42107--42110
[]\T1/txtt/bx/n/10 methods \T1/qtm/m/n/10 (\T1/txtt/m/n/10 List\T1/qtm/m/n/10 [
[][]\T1/txtt/m/sl/10 CategoricalStatsMethods[][]\T1/qtm/m/n/10 ]) ^^U List of m
eth-

Underfull \hbox (badness 10000) in paragraph at lines 42107--42110
\T1/qtm/m/n/10 ods to ap-ply for rolling statis-tics. Cur-rently only sup-ports

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Chapter 29.

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\T1/qtm/m/n/10 See \T1/txtt/m/n/10 training_row_count\T1/qtm/m/n/10 , \T1/txtt/
m/n/10 training_duration\T1/qtm/m/n/10 , and \T1/txtt/m/n/10 training_start_dat
e \T1/qtm/m/n/10 /
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[490]
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\T1/txtt/m/n/10 data_slice_filter.id\T1/qtm/m/n/10 . If \T1/txtt/m/n/10 None \T
1/qtm/m/n/10 (the de-fault), ap-plies no fil-ter based on
[491] [492]
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\T1/txtt/m/n/10 data_slice_filter.id\T1/qtm/m/n/10 . If \T1/txtt/m/n/10 None \T
1/qtm/m/n/10 (the de-fault), ap-plies no fil-ter based on

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[]\T1/txtt/bx/n/10 source \T1/qtm/m/n/10 (\T1/txtt/m/n/10 str\T1/qtm/m/n/10 ) ^
^U Con-fu-sion chart source. Check
[493]
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[]\T1/txtt/bx/n/10 fairness_metrics_set \T1/qtm/m/n/10 (\T1/txtt/m/n/10 Optiona
l[str]\T1/qtm/m/n/10 ) ^^U Can be one of
[494] [495]
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[]\T1/qtm/m/n/10 Each list item is a dict with the keys \T1/txtt/m/n/10 feature
Name\T1/qtm/m/n/10 , \T1/txtt/m/n/10 impactNormalized\T1/qtm/m/n/10 ,

Underfull \hbox (badness 10000) in paragraph at lines 44527--44530
\T1/qtm/m/n/10 the keys: \T1/txtt/m/n/10 featureName\T1/qtm/m/n/10 , \T1/txtt/m
/n/10 impactNormalized\T1/qtm/m/n/10 , \T1/txtt/m/n/10 impactUnnormalized\T1/qt
m/m/n/10 , and
[496]
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[]\T1/txtt/bx/n/10 source \T1/qtm/m/n/10 (\T1/txtt/m/n/10 str\T1/qtm/m/n/10 ) ^
^U ROC curve data source. Check
[497] [498] [499] [500] [501]
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[]\T1/txtt/bx/n/10 source \T1/qtm/m/n/10 (\T1/txtt/m/n/10 str\T1/qtm/m/n/10 ) ^
^U Resid-u-als chart data source. Check

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[]\T1/txtt/bx/n/10 source \T1/qtm/m/n/10 (\T1/txtt/m/n/10 str\T1/qtm/m/n/10 ) ^
^U ROC curve data source. Check
[502] [503]
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\T1/txtt/m/n/10 <training_duration>[]<time_window_sample_percent>[]<sampling_me
thod>
[504] [505]
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\T1/txtt/bx/n/10 fairness_metrics_set \T1/qtm/m/n/10 (\T1/txtt/m/n/10 Optional[
str]\T1/qtm/m/n/10 ) ^^U Can be one of
[506]
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[]\T1/qtm/m/n/10 All du-ra-tions should be spec-i-fied with a du-ra-tion string
 such as those re-turned by the

Underfull \hbox (badness 8075) in paragraph at lines 45984--45989
[][]\T1/txtt/m/sl/10 partitioning_methods.construct_duration_string[][] \T1/qtm
/m/n/10 helper method. Please see [][]\T1/qtm/m/it/10 date-time
[507] [508] [509]
Underfull \hbox (badness 10000) in paragraph at lines 46276--46278
[]\T1/txtt/bx/n/10 source \T1/qtm/m/n/10 (\T1/txtt/m/n/10 str\T1/qtm/m/n/10 ) ^
^U Resid-u-als chart data source. Check
[510]
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[]\T1/txtt/bx/n/10 source \T1/qtm/m/n/10 (\T1/txtt/m/n/10 str\T1/qtm/m/n/10 ) ^
^U Roc Curve data source. Check
[511] [512]
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[]\T1/txtt/bx/n/10 scoring_type \T1/qtm/m/n/10 (\T1/txtt/m/n/10 Optional[str]\T
1/qtm/m/n/10 ) ^^U Ei-ther \T1/txtt/m/n/10 validation \T1/qtm/m/n/10 or \T1/txt
t/m/n/10 crossValidation
[513]
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[]\T1/qtm/m/n/10 All du-ra-tions should be spec-i-fied with a du-ra-tion string
 such as those re-turned by the

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[][]\T1/txtt/m/sl/10 partitioning_methods.construct_duration_string[][] \T1/qtm
/m/n/10 helper method. Please see [][]\T1/qtm/m/it/10 date-time

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\T1/qtm/m/n/10 be used to train the model. If spec-i-fied, nei-ther \T1/txtt/m/
n/10 training_duration \T1/qtm/m/n/10 nor
[514] [515] [516] [517] [518] [519] [520] [521]
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\T1/txtt/m/n/10 data_slice_filter.id\T1/qtm/m/n/10 . If \T1/txtt/m/n/10 None \T
1/qtm/m/n/10 (the de-fault), ap-plies no fil-ter based on
[522]
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\T1/txtt/m/n/10 data_slice_filter.id\T1/qtm/m/n/10 . If \T1/txtt/m/n/10 None \T
1/qtm/m/n/10 (the de-fault), ap-plies no fil-ter based on
[523]
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[]\T1/txtt/bx/n/10 source \T1/qtm/m/n/10 (\T1/txtt/m/n/10 str\T1/qtm/m/n/10 ) ^
^U Con-fu-sion chart source. Check
[524]
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[]\T1/txtt/bx/n/10 fairness_metrics_set \T1/qtm/m/n/10 (\T1/txtt/m/n/10 Optiona
l[str]\T1/qtm/m/n/10 ) ^^U Can be one of
[525] [526]
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[]\T1/qtm/m/n/10 Each list item is a dict with the keys \T1/txtt/m/n/10 feature
Name\T1/qtm/m/n/10 , \T1/txtt/m/n/10 impactNormalized\T1/qtm/m/n/10 ,

Underfull \hbox (badness 10000) in paragraph at lines 48166--48169
\T1/qtm/m/n/10 the keys: \T1/txtt/m/n/10 featureName\T1/qtm/m/n/10 , \T1/txtt/m
/n/10 impactNormalized\T1/qtm/m/n/10 , \T1/txtt/m/n/10 impactUnnormalized\T1/qt
m/m/n/10 , and
[527]
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[]\T1/txtt/bx/n/10 source \T1/qtm/m/n/10 (\T1/txtt/m/n/10 str\T1/qtm/m/n/10 ) ^
^U ROC curve data source. Check
[528] [529] [530] [531]
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[]\T1/txtt/bx/n/10 source \T1/qtm/m/n/10 (\T1/txtt/m/n/10 str\T1/qtm/m/n/10 ) ^
^U Resid-u-als chart data source. Check
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[]\T1/txtt/bx/n/10 source \T1/qtm/m/n/10 (\T1/txtt/m/n/10 str\T1/qtm/m/n/10 ) ^
^U ROC curve data source. Check
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\T1/txtt/m/n/10 <training_duration>[]<time_window_sample_percent>[]<sampling_me
thod>
[535]
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\T1/txtt/bx/n/10 fairness_metrics_set \T1/qtm/m/n/10 (\T1/txtt/m/n/10 Optional[
str]\T1/qtm/m/n/10 ) ^^U Can be one of
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[]\T1/txtt/bx/n/10 source \T1/qtm/m/n/10 (\T1/txtt/m/n/10 str\T1/qtm/m/n/10 ) ^
^U Resid-u-als chart data source. Check
[539]
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[]\T1/txtt/bx/n/10 source \T1/qtm/m/n/10 (\T1/txtt/m/n/10 str\T1/qtm/m/n/10 ) ^
^U Roc Curve data source. Check
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[548]
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\T1/txtt/m/n/10 data_slice_filter.id\T1/qtm/m/n/10 . If \T1/txtt/m/n/10 None \T
1/qtm/m/n/10 (the de-fault), ap-plies no fil-ter based on
[549]
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\T1/txtt/m/n/10 data_slice_filter.id\T1/qtm/m/n/10 . If \T1/txtt/m/n/10 None \T
1/qtm/m/n/10 (the de-fault), ap-plies no fil-ter based on
[550]
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[]\T1/txtt/bx/n/10 source \T1/qtm/m/n/10 (\T1/txtt/m/n/10 str\T1/qtm/m/n/10 ) ^
^U Con-fu-sion chart source. Check
[551]
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[]\T1/txtt/bx/n/10 fairness_metrics_set \T1/qtm/m/n/10 (\T1/txtt/m/n/10 Optiona
l[str]\T1/qtm/m/n/10 ) ^^U Can be one of
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[]\T1/qtm/m/n/10 Each list item is a dict with the keys \T1/txtt/m/n/10 feature
Name\T1/qtm/m/n/10 , \T1/txtt/m/n/10 impactNormalized\T1/qtm/m/n/10 ,

Underfull \hbox (badness 10000) in paragraph at lines 51516--51519
\T1/qtm/m/n/10 the keys: \T1/txtt/m/n/10 featureName\T1/qtm/m/n/10 , \T1/txtt/m
/n/10 impactNormalized\T1/qtm/m/n/10 , \T1/txtt/m/n/10 impactUnnormalized\T1/qt
m/m/n/10 , and
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[]\T1/txtt/bx/n/10 source \T1/qtm/m/n/10 (\T1/txtt/m/n/10 str\T1/qtm/m/n/10 ) ^
^U ROC curve data source. Check
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[]\T1/txtt/bx/n/10 source \T1/qtm/m/n/10 (\T1/txtt/m/n/10 str\T1/qtm/m/n/10 ) ^
^U Resid-u-als chart data source. Check
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[]\T1/txtt/bx/n/10 source \T1/qtm/m/n/10 (\T1/txtt/m/n/10 str\T1/qtm/m/n/10 ) ^
^U ROC curve data source. Check
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\T1/txtt/m/n/10 <training_duration>[]<time_window_sample_percent>[]<sampling_me
thod>
[562] [563]
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\T1/txtt/bx/n/10 fairness_metrics_set \T1/qtm/m/n/10 (\T1/txtt/m/n/10 Optional[
str]\T1/qtm/m/n/10 ) ^^U Can be one of
[564]
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[]\T1/qtm/m/n/10 All du-ra-tions should be spec-i-fied with a du-ra-tion string
 such as those re-turned by the

Underfull \hbox (badness 8075) in paragraph at lines 52973--52978
[][]\T1/txtt/m/sl/10 partitioning_methods.construct_duration_string[][] \T1/qtm
/m/n/10 helper method. Please see [][]\T1/qtm/m/it/10 date-time
[565] [566] [567]
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[]\T1/txtt/bx/n/10 source \T1/qtm/m/n/10 (\T1/txtt/m/n/10 str\T1/qtm/m/n/10 ) ^
^U Resid-u-als chart data source. Check

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[]\T1/txtt/bx/n/10 source \T1/qtm/m/n/10 (\T1/txtt/m/n/10 str\T1/qtm/m/n/10 ) ^
^U Roc Curve data source. Check
[568] [569] [570]
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[]\T1/txtt/bx/n/10 scoring_type \T1/qtm/m/n/10 (\T1/txtt/m/n/10 Optional[str]\T
1/qtm/m/n/10 ) ^^U Ei-ther \T1/txtt/m/n/10 validation \T1/qtm/m/n/10 or \T1/txt
t/m/n/10 crossValidation
[571]
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[]\T1/qtm/m/n/10 All du-ra-tions should be spec-i-fied with a du-ra-tion string
 such as those re-turned by the

Underfull \hbox (badness 8075) in paragraph at lines 53687--53692
[][]\T1/txtt/m/sl/10 partitioning_methods.construct_duration_string[][] \T1/qtm
/m/n/10 helper method. Please see [][]\T1/qtm/m/it/10 date-time

Underfull \hbox (badness 7133) in paragraph at lines 53699--53702
\T1/qtm/m/n/10 be used to train the model. If spec-i-fied, nei-ther \T1/txtt/m/
n/10 training_duration \T1/qtm/m/n/10 nor
[572] [573]
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[]\T1/txtt/bx/n/10 sampling_method \T1/qtm/m/n/10 (\T1/txtt/m/n/10 str \T1/qtm/
m/n/10 or \T1/txtt/m/n/10 None\T1/qtm/m/n/10 ) ^^U (New in v2.23) in-di-cates t
he way train-ing
[574]
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[]\T1/txtt/bx/n/10 data_selection_method \T1/qtm/m/n/10 (\T1/txtt/m/n/10 str\T1
/qtm/m/n/10 ) ^^U Which of \T1/txtt/m/n/10 training_row_count\T1/qtm/m/n/10 ,

Underfull \hbox (badness 10000) in paragraph at lines 53958--53962
\T1/txtt/m/n/10 training_duration\T1/qtm/m/n/10 , or \T1/txtt/m/n/10 training_s
tart_data \T1/qtm/m/n/10 and \T1/txtt/m/n/10 training_end_date \T1/qtm/m/n/10 w
ere

Underfull \hbox (badness 10000) in paragraph at lines 53964--53970
[]\T1/txtt/bx/n/10 training_info \T1/qtm/m/n/10 (\T1/txtt/m/n/10 dict\T1/qtm/m/
n/10 ) ^^U De-scribes which data was used to train on when

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\T1/qtm/m/n/10 scor-ing the hold-out and mak-ing pre-dic-tions. \T1/txtt/m/n/10
 training_info \T1/qtm/m/n/10 has the fol-low-

Underfull \hbox (badness 10000) in paragraph at lines 53964--53970
\T1/qtm/m/n/10 ing keys: \T1/txtt/m/n/10 holdout_training_start_date\T1/qtm/m/n
/10 , \T1/txtt/m/n/10 holdout_training_duration\T1/qtm/m/n/10 ,

Underfull \hbox (badness 10000) in paragraph at lines 53964--53970
\T1/txtt/m/n/10 holdout_training_row_count\T1/qtm/m/n/10 , \T1/txtt/m/n/10 hold
out_training_end_date\T1/qtm/m/n/10 ,

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\T1/txtt/m/n/10 prediction_training_start_date\T1/qtm/m/n/10 , \T1/txtt/m/n/10 
prediction_training_duration\T1/qtm/m/n/10 ,
[575] [576] [577]
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[]\T1/qtm/m/n/10 All du-ra-tions should be spec-i-fied with a du-ra-tion string
 such as those re-turned by the

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[][]\T1/txtt/m/sl/10 partitioning_methods.construct_duration_string[][] \T1/qtm
/m/n/10 helper method. Please see [][]\T1/qtm/m/it/10 date-time
[578] [579] [580] [581] [582] [583] [584] [585] [586]
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[]\T1/qtm/m/n/10 Each list item is a dict with the keys \T1/txtt/m/n/10 feature
Name\T1/qtm/m/n/10 , \T1/txtt/m/n/10 impactNormalized\T1/qtm/m/n/10 , and

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\T1/qtm/m/n/10 keys: \T1/txtt/m/n/10 featureName\T1/qtm/m/n/10 , \T1/txtt/m/n/1
0 impactNormalized\T1/qtm/m/n/10 , and \T1/txtt/m/n/10 impactUnnormalized\T1/qt
m/m/n/10 , and
[591] [592] [593] [594] [595] [596] [597] [598]
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\T1/txtt/m/n/10 data_slice_filter.id\T1/qtm/m/n/10 . If \T1/txtt/m/n/10 None \T
1/qtm/m/n/10 (the de-fault), ap-plies no fil-ter based on
[599]
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\T1/txtt/m/n/10 data_slice_filter.id\T1/qtm/m/n/10 . If \T1/txtt/m/n/10 None \T
1/qtm/m/n/10 (the de-fault), ap-plies no fil-ter based on
[600]
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[]\T1/txtt/bx/n/10 source \T1/qtm/m/n/10 (\T1/txtt/m/n/10 str\T1/qtm/m/n/10 ) ^
^U Con-fu-sion chart source. Check

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[]\T1/txtt/bx/n/10 fairness_metrics_set \T1/qtm/m/n/10 (\T1/txtt/m/n/10 Optiona
l[str]\T1/qtm/m/n/10 ) ^^U Can be one of
[601]
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[]\T1/txtt/bx/n/10 source \T1/qtm/m/n/10 (\T1/txtt/m/n/10 str\T1/qtm/m/n/10 ) ^
^U ROC curve data source. Check
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[]\T1/txtt/bx/n/10 source \T1/qtm/m/n/10 (\T1/txtt/m/n/10 str\T1/qtm/m/n/10 ) ^
^U Resid-u-als chart data source. Check
[605] [606]
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\T1/txtt/m/n/10 <training_duration>[]<time_window_sample_percent>[]<sampling_me
thod>
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\T1/txtt/bx/n/10 fairness_metrics_set \T1/qtm/m/n/10 (\T1/txtt/m/n/10 Optional[
str]\T1/qtm/m/n/10 ) ^^U Can be one of

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[]\T1/qtm/m/n/10 All du-ra-tions should be spec-i-fied with a du-ra-tion string
 such as those re-turned by the

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[][]\T1/txtt/m/sl/10 partitioning_methods.construct_duration_string[][] \T1/qtm
/m/n/10 helper method. Please see [][]\T1/qtm/m/it/10 date-time
[609] [610]
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[]\T1/txtt/bx/n/10 source \T1/qtm/m/n/10 (\T1/txtt/m/n/10 str\T1/qtm/m/n/10 ) ^
^U Resid-u-als chart data source. Check
[611] [612]
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[]\T1/qtm/m/n/10 All du-ra-tions should be spec-i-fied with a du-ra-tion string
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[][]\T1/txtt/m/sl/10 partitioning_methods.construct_duration_string[][] \T1/qtm
/m/n/10 helper method. Please see [][]\T1/qtm/m/it/10 date-time

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\T1/qtm/m/n/10 be used to train the model. If spec-i-fied, nei-ther \T1/txtt/m/
n/10 training_duration \T1/qtm/m/n/10 nor
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[620]
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[621]
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\T1/txtt/m/n/10 data_slice_filter.id\T1/qtm/m/n/10 . If \T1/txtt/m/n/10 None \T
1/qtm/m/n/10 (the de-fault), ap-plies no fil-ter based on
[622] [623]
Underfull \hbox (badness 7832) in paragraph at lines 59526--59529
\T1/txtt/m/n/10 data_slice_filter.id\T1/qtm/m/n/10 . If \T1/txtt/m/n/10 None \T
1/qtm/m/n/10 (the de-fault), ap-plies no fil-ter based on

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[]\T1/txtt/bx/n/10 source \T1/qtm/m/n/10 (\T1/txtt/m/n/10 str\T1/qtm/m/n/10 ) ^
^U Con-fu-sion chart source. Check
[624]
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[]\T1/txtt/bx/n/10 fairness_metrics_set \T1/qtm/m/n/10 (\T1/txtt/m/n/10 Optiona
l[str]\T1/qtm/m/n/10 ) ^^U Can be one of
[625] [626]
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[]\T1/qtm/m/n/10 Each list item is a dict with the keys \T1/txtt/m/n/10 feature
Name\T1/qtm/m/n/10 , \T1/txtt/m/n/10 impactNormalized\T1/qtm/m/n/10 ,

Underfull \hbox (badness 10000) in paragraph at lines 59977--59980
\T1/qtm/m/n/10 the keys: \T1/txtt/m/n/10 featureName\T1/qtm/m/n/10 , \T1/txtt/m
/n/10 impactNormalized\T1/qtm/m/n/10 , \T1/txtt/m/n/10 impactUnnormalized\T1/qt
m/m/n/10 , and
[627]
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[]\T1/txtt/bx/n/10 source \T1/qtm/m/n/10 (\T1/txtt/m/n/10 str\T1/qtm/m/n/10 ) ^
^U ROC curve data source. Check
[628] [629] [630] [631] [632]
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[]\T1/txtt/bx/n/10 source \T1/qtm/m/n/10 (\T1/txtt/m/n/10 str\T1/qtm/m/n/10 ) ^
^U Resid-u-als chart data source. Check

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[]\T1/txtt/bx/n/10 source \T1/qtm/m/n/10 (\T1/txtt/m/n/10 str\T1/qtm/m/n/10 ) ^
^U ROC curve data source. Check
[633] [634]
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\T1/txtt/m/n/10 <training_duration>[]<time_window_sample_percent>[]<sampling_me
thod>
[635] [636]
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\T1/txtt/bx/n/10 fairness_metrics_set \T1/qtm/m/n/10 (\T1/txtt/m/n/10 Optional[
str]\T1/qtm/m/n/10 ) ^^U Can be one of
[637]
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[]\T1/qtm/m/n/10 All du-ra-tions should be spec-i-fied with a du-ra-tion string
 such as those re-turned by the

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[][]\T1/txtt/m/sl/10 partitioning_methods.construct_duration_string[][] \T1/qtm
/m/n/10 helper method. Please see [][]\T1/qtm/m/it/10 date-time
[638] [639] [640]
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[]\T1/txtt/bx/n/10 source \T1/qtm/m/n/10 (\T1/txtt/m/n/10 str\T1/qtm/m/n/10 ) ^
^U Resid-u-als chart data source. Check
[641]
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[]\T1/txtt/bx/n/10 source \T1/qtm/m/n/10 (\T1/txtt/m/n/10 str\T1/qtm/m/n/10 ) ^
^U Roc Curve data source. Check
[642] [643]
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[]\T1/txtt/bx/n/10 scoring_type \T1/qtm/m/n/10 (\T1/txtt/m/n/10 Optional[str]\T
1/qtm/m/n/10 ) ^^U Ei-ther \T1/txtt/m/n/10 validation \T1/qtm/m/n/10 or \T1/txt
t/m/n/10 crossValidation
[644]
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[]\T1/qtm/m/n/10 All du-ra-tions should be spec-i-fied with a du-ra-tion string
 such as those re-turned by the

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[][]\T1/txtt/m/sl/10 partitioning_methods.construct_duration_string[][] \T1/qtm
/m/n/10 helper method. Please see [][]\T1/qtm/m/it/10 date-time

Underfull \hbox (badness 7133) in paragraph at lines 62160--62163
\T1/qtm/m/n/10 be used to train the model. If spec-i-fied, nei-ther \T1/txtt/m/
n/10 training_duration \T1/qtm/m/n/10 nor
[645] [646] [647] [648] [649] [650] [651]
Underfull \hbox (badness 10000) in paragraph at lines 63079--63081
[]\T1/qtm/b/n/10 pa-ram-e-ters \T1/qtm/m/n/10 (\T1/txtt/m/n/10 dict\T1/qtm/m/n/
10 ) ^^U ^^PPa-ram-e-ters^^Q dic-tio-nary, same as spec-i-fied on

Underfull \hbox (badness 10000) in paragraph at lines 63142--63155
[]\T1/txtt/bx/n/10 algorithm \T1/qtm/m/n/10 (\T1/txtt/m/n/10 GridSearchAlgorith
m (optional)\T1/qtm/m/n/10 ) ^^U The al-go-rithm to ap-

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\T1/qtm/m/n/10 ply when run-ning the grid search. Ap-ply this only when you spe
c-ify the

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\T1/qtm/m/n/10 search type and the search de-ter-mines which al-go-rithm to use
. The fol-

Underfull \hbox (badness 10000) in paragraph at lines 63142--63155
\T1/qtm/m/n/10 low-ing ta-ble lists the valid com-bi-na-tions of search type an
d al-go-rithm.

Underfull \hbox (badness 10000) in paragraph at lines 63142--63155
\T1/qtm/m/n/10 ^^V^^V^^V^^V^^V^^V^^V^^V^^V^^V^^V^^V^^V^^V^^V^^V^^V^^V^^V^^V | G
rid-Search-SearchType.SMART |

Underfull \hbox (badness 10000) in paragraph at lines 63142--63155
\T1/qtm/m/n/10 | Grid-SearchAl-go-rithm.EXHAUSTIVE_SEARCH (de-fault) | | Grid-S
earch-
[652] [653] [654] [655] [656] [657] [658] [659] [660] [661] [662] [663]
[664] [665] [666] [667] [668] [669] [670] [671]
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[]\T1/txtt/bx/n/10 geospatial_monitoring \T1/qtm/m/n/10 (\T1/txtt/m/n/10 Option
al[ExternalGeospatialMonitoring]\T1/qtm/m/n/10 ) ^^U
[672] [673] [674] [675] [676]
Chapter 30.
[677] [678] [679] [680] [681] [682] [683] [684]
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[685] [686] [687] [688] [689] [690] [691]
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\T1/qtm/b/n/10 pre-dic-tions_data_collection_settings \T1/qtm/m/n/10 ^^U Dic-ti
o-nary with an \T1/txtt/m/n/10 enabled \T1/qtm/m/n/10 key

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\T1/qtm/m/n/10 (\T1/txtt/m/n/10 bool\T1/qtm/m/n/10 ) in-di-cat-ing whether pre-
dic-tions data col-lec-tion is en-abled for this de-

Underfull \hbox (badness 10000) in paragraph at lines 67899--67904
\T1/qtm/m/n/10 ploy-ment. To up-date ex-ist-ing \T1/txtt/m/n/10 predictions_dat
a_collection \T1/qtm/m/n/10 set-tings, see
[692] [693] [694] [695] [696] [697] [698] [699] [700] [701]
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[]\T1/txtt/bx/n/10 share_recipient_type \T1/qtm/m/n/10 (\T1/txtt/m/n/10 enum(\T
S1/txtt/m/n/10 ``\T1/qtm/m/n/10 'user'\T1/txtt/m/n/10 , \TS1/txtt/m/n/10 ``'\T1
/txtt/m/n/10 group\TS1/txtt/m/n/10 '\T1/qtm/m/n/10 , \TS1/txtt/m/n/10 '\T1/txtt
/m/n/10 organization\TS1/txtt/m/n/10 '\T1/txtt/m/n/10 )\T1/qtm/m/n/10 ,
[702]
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\T1/txtt/bx/n/10 roles \T1/qtm/m/n/10 (\T1/txtt/m/n/10 list(or(GrantAccessContr
olWithUsernameValidator\T1/qtm/m/n/10 ,

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\T1/txtt/m/n/10 GrantAccessControlWithIdValidator\T1/qtm/m/n/10 , \T1/txtt/m/n/
10 SharingRole))\T1/qtm/m/n/10 ) ^^U Ar-ray of GrantAc-
[703] [704] [705] [706] [707] [708] [709] [710] [711] [712] [713] [714]
[715] [716] [717] [718] [719] [720] [721]
Underfull \hbox (badness 10000) in paragraph at lines 71773--71777
[]\T1/txtt/bx/n/10 target_drift \T1/qtm/m/n/10 (\T1/txtt/m/n/10 Settings\T1/qtm
/m/n/10 ) ^^U If tar-get drift track-ing is en-abled for this

Underfull \hbox (badness 10000) in paragraph at lines 71773--71777
\T1/qtm/m/n/10 de-ploy-ment. To cre-ate or up-date ex-ist-ing \T1/txtt/m/n/10 t
arget_drift \T1/qtm/m/n/10 set-tings, see

Underfull \hbox (badness 10000) in paragraph at lines 71779--71783
[]\T1/txtt/bx/n/10 feature_drift \T1/qtm/m/n/10 (\T1/txtt/m/n/10 Settings\T1/qt
m/m/n/10 ) ^^U If fea-ture drift track-ing is en-abled for this

Underfull \hbox (badness 10000) in paragraph at lines 71779--71783
\T1/qtm/m/n/10 de-ploy-ment. To cre-ate or up-date ex-ist-ing \T1/txtt/m/n/10 f
eature_drift \T1/qtm/m/n/10 set-tings, see

Underfull \hbox (badness 10000) in paragraph at lines 71803--71807
[]\T1/txtt/bx/n/10 enabled \T1/qtm/m/n/10 (\T1/txtt/m/n/10 bool\T1/qtm/m/n/10 )
 ^^U If tar-get pre-dic-tion_warning is en-abled for this de-ploy-

Underfull \hbox (badness 10000) in paragraph at lines 71803--71807
\T1/qtm/m/n/10 ment. To cre-ate or up-date ex-ist-ing \T1/txtt/m/n/10 predictio
n_warning \T1/qtm/m/n/10 set-tings, see
[722] [723] [724] [725]
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[]\T1/txtt/bx/n/10 supported_model_formats \T1/qtm/m/n/10 (\T1/txtt/m/n/10 list
[PredictionEnvironmentModelFormats]\T1/qtm/m/n/10 , \T1/qtm/m/it/10 op-
[726] [727] [728]
Chapter 31.
[729] [730] [731] [732]
Chapter 32.
[733] [734] [735] [736] [737] [738] [739] [740] [741]
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[]\T1/qtm/m/n/10 E.g. The prob-a-bil-ity P(A=0,B=1) can be re-trieved via:

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\T1/txtt/m/n/10 pairwise_joint_probabilities.statistic_dataframes[(0,1)].loc[\T
S1/txtt/m/n/10 '\T1/txtt/m/n/10 A\TS1/txtt/m/n/10 '\T1/txtt/m/n/10 ,
[742] [743]
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[]\T1/qtm/m/n/10 E.g. The prob-a-bil-ity P(A=0|B=1) can be re-trieved via:

Underfull \hbox (badness 10000) in paragraph at lines 74472--74475
\T1/txtt/m/n/10 pairwise_conditional_probabilities.statistic_dataframes[(0,1)].

[744] [745] [746] [747] [748] [749] [750] [751]
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\T1/qtm/m/n/10 tion win-dows set-tings. If present, time-aware joins will be us
ed. Only al-

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[]\T1/txtt/bx/n/10 prediction_point_rounding \T1/qtm/m/n/10 (\T1/txtt/m/n/10 Op
tional[int]\T1/qtm/m/n/10 ) ^^U Clos-est value of pre-dic-

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\T1/qtm/m/n/10 Time unit of the fea-ture deriva-tion win-dow. One of \T1/txtt/m
/n/10 datarobot.enums.
[752] [753]
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\T1/qtm/m/n/10 of the pri-mary tem-po-ral key for each dataset into the past re
l-a-tive to the

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[]\T1/txtt/bx/n/10 feature_derivation_window_end \T1/qtm/m/n/10 (\T1/txtt/m/n/1
0 int \T1/qtm/m/n/10 or \T1/txtt/m/n/10 None\T1/qtm/m/n/10 ) ^^U How many \T1/t
xtt/m/n/10 timeUnits

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\T1/qtm/m/n/10 of each dataset record pri-mary tem-po-ral key into the past rel
-a-tive to the
[754]
Underfull \hbox (badness 10000) in paragraph at lines 75797--75801
[]\T1/txtt/bx/n/10 prediction_point_rounding \T1/qtm/m/n/10 (\T1/txtt/m/n/10 in
t\T1/qtm/m/n/10 , or \T1/txtt/m/n/10 None\T1/qtm/m/n/10 ) ^^U Clos-est value of


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[]\T1/txtt/bx/n/10 prediction_point_rounding_time_unit \T1/qtm/m/n/10 (\T1/txtt
/m/n/10 str\T1/qtm/m/n/10 , or \T1/txtt/m/n/10 None\T1/qtm/m/n/10 ) ^^U The tim
e unit of

Underfull \hbox (badness 10000) in paragraph at lines 75823--75826
\T1/qtm/m/n/10 Time unit of the fea-ture deriva-tion win-dow. One of \T1/txtt/m
/n/10 datarobot.enums.

Underfull \hbox (badness 10000) in paragraph at lines 75843--75845
[]\T1/txtt/bx/n/10 specifying \T1/qtm/m/n/10 (\T1/txtt/m/sl/10 To see the list 
of possible settings, create a

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[]\T1/txtt/bx/n/10 dataset_definitions \T1/qtm/m/n/10 (\T1/txtt/m/n/10 list \T1
/qtm/m/n/10 of \T1/txtt/m/n/10 DatasetDefinition\T1/qtm/m/n/10 ) ^^U Each el-e-
ment is a

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\T1/qtm/m/n/10 Each el-e-ment is a dic-tio-nary or a \T1/txtt/m/n/10 datarobot.
helpers.feature_discovery.
[755] [756]
Underfull \hbox (badness 10000) in paragraph at lines 75987--75989
[]\T1/txtt/bx/n/10 dataset_definitions \T1/qtm/m/n/10 (\T1/txtt/m/n/10 List[Dat
asetDefinition]\T1/qtm/m/n/10 ) ^^U Each el-e-ment is a

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\T1/qtm/m/n/10 Each el-e-ment is a dic-tio-nary or a \T1/txtt/m/n/10 datarobot.
helpers.feature_discovery.
[757] [758] [759] [760] [761] [762] [763] [764] [765] [766] [767] [768]
Chapter 33.

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l.78257 \PYG{g+go}{└── finance/}
                                      

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l.78257 \PYG{g+go}{└── finance/}
                                      

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l.78257 \PYG{g+go}{└── finance/}
                                      

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l.78258 \PYG{g+go}{    ├── fy\PYGZhy{}2024/}
                                                  

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l.78258 \PYG{g+go}{    ├── fy\PYGZhy{}2024/}
                                                  

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l.78258 \PYG{g+go}{    ├── fy\PYGZhy{}2024/}
                                                  

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Type  H <return>  for immediate help.
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l.78259 \PYG{g+go}{    │   └── budgets/}
                                                

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l.78259 \PYG{g+go}{    │   └── budgets/}
                                                

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               not set up for use with LaTeX.

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l.78259 \PYG{g+go}{    │   └── budgets/}
                                                

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               not set up for use with LaTeX.

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Type  H <return>  for immediate help.
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l.78259 \PYG{g+go}{    │   └── budgets/}
                                                

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               not set up for use with LaTeX.

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Type  H <return>  for immediate help.
 ...                                              
                                                  
l.78260 ...─ Q2\PYGZus{}budget\PYGZus{}2024.pdf}
                                                  

! LaTeX Error: Unicode character └ (U+2514)
               not set up for use with LaTeX.

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Type  H <return>  for immediate help.
 ...                                              
                                                  
l.78260 ...─ Q2\PYGZus{}budget\PYGZus{}2024.pdf}
                                                  

! LaTeX Error: Unicode character ─ (U+2500)
               not set up for use with LaTeX.

See the LaTeX manual or LaTeX Companion for explanation.
Type  H <return>  for immediate help.
 ...                                              
                                                  
l.78260 ...─ Q2\PYGZus{}budget\PYGZus{}2024.pdf}
                                                  

! LaTeX Error: Unicode character ─ (U+2500)
               not set up for use with LaTeX.

See the LaTeX manual or LaTeX Companion for explanation.
Type  H <return>  for immediate help.
 ...                                              
                                                  
l.78260 ...─ Q2\PYGZus{}budget\PYGZus{}2024.pdf}
                                                  

! LaTeX Error: Unicode character └ (U+2514)
               not set up for use with LaTeX.

See the LaTeX manual or LaTeX Companion for explanation.
Type  H <return>  for immediate help.
 ...                                              
                                                  
l.78261 ...   └── employee\PYGZhy{}list.csv}
                                                  

! LaTeX Error: Unicode character ─ (U+2500)
               not set up for use with LaTeX.

See the LaTeX manual or LaTeX Companion for explanation.
Type  H <return>  for immediate help.
 ...                                              
                                                  
l.78261 ...   └── employee\PYGZhy{}list.csv}
                                                  

! LaTeX Error: Unicode character ─ (U+2500)
               not set up for use with LaTeX.

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Type  H <return>  for immediate help.
 ...                                              
                                                  
l.78261 ...   └── employee\PYGZhy{}list.csv}
                                                  
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\T1/txtt/m/sl/10 RENAME[][] \T1/qtm/m/n/10 to re-name and up-loaded file us-ing
 the ^^P<file-name> (n).ext^^Q pat-tern.

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\T1/qtm/m/n/10 Use [][]\T1/txtt/m/sl/10 FilesOverwriteStrategy.REPLACE[][] \T1/
qtm/m/n/10 to over-write the ex-ist-ing file. Use
[788]
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[]\T1/qtm/m/n/10 Ex-am-ple: \T1/txtt/m/n/10 /mydomain.sharepoint.com,4732d...8b
01b0,eb0d3...e42f/b!8tQyRyn.....

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\T1/txtt/m/sl/10 RENAME[][] \T1/qtm/m/n/10 to re-name and up-loaded file us-ing
 the ^^P<file-name> (n).ext^^Q pat-tern.

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\T1/qtm/m/n/10 Use [][]\T1/txtt/m/sl/10 FilesOverwriteStrategy.REPLACE[][] \T1/
qtm/m/n/10 to over-write the ex-ist-ing file. Use

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[]\T1/txtt/bx/n/10 kwargs \T1/qtm/m/n/10 (\T1/txtt/m/n/10 Any\T1/qtm/m/n/10 ) ^
^U Ad-di-tional key-word ar-gu-ments passed to [][]\T1/txtt/m/sl/10 DataRobotFi
le[][] \T1/qtm/m/n/10 or
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[]\T1/txtt/bx/n/10 NotImplementedError \T1/qtm/m/n/10 ^^U If at-tempt-ing to up
-load a di-rec-tory and
[794] [795] [796] [797] [798] [799] [800] [801] [802] [803] [804] [805]
[806] [807] [808] [809] [810] [811] [812]
Chapter 34.
[813] [814] [815] [816] [817] [818] [819] [820] [821]
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[]\T1/txtt/bx/n/10 vector_database_network_egress_policy \T1/qtm/m/n/10 (\T1/tx
tt/m/n/10 Optional[str]\T1/qtm/m/n/10 ) ^^U Only

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\T1/qtm/m/n/10 used if a new vec-tor database is de-ployed. De-ter-mines whethe
r the

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\T1/qtm/m/n/10 new vec-tor database de-ploy-ment is iso-lated or can ac-cess th
e pub-

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\T1/qtm/m/n/10 lic net-work. Val-ues: [\T1/qtm/m/it/10 datarobot.NETWORK_EGRESS
_POLICY.NONE\T1/qtm/m/n/10 ,
[822] [823] [824]
Chapter 35.
[825] [826] [827] [828] [829] [830] [831] [832] [833] [834] [835] [836]
[837] [838] [839] [840] [841] [842] [843] [844]
Chapter 36.
[845] [846]
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[]\T1/txtt/bx/n/10 metadata_combination_strategy \T1/qtm/m/n/10 (\T1/txtt/m/n/1
0 Optional[VectorDatabaseMetadataCombinationStrategy]\T1/qtm/m/n/10 )
[847]
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[]\T1/txtt/bx/n/10 metadata_combination_strategy \T1/qtm/m/n/10 (\T1/txtt/m/n/1
0 Optional[VectorDatabaseMetadataCombinationStrategy]\T1/qtm/m/n/10 )
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[]\T1/txtt/bx/n/10 metadata_combination_strategy \T1/qtm/m/n/10 (\T1/txtt/m/n/1
0 Optional[VectorDatabaseMetadataCombinationStrategy]\T1/qtm/m/n/10 )
[850]
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[]\T1/txtt/bx/n/10 resource_bundle_id \T1/qtm/m/n/10 (\T1/txtt/m/n/10 Optional[
str]\T1/qtm/m/n/10 ) ^^U The ID of a

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[]\T1/txtt/bx/n/10 network_egress_policy \T1/qtm/m/n/10 (\T1/txtt/m/n/10 Option
al[str]\T1/qtm/m/n/10 ) ^^U De-ter-mines whether

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\T1/qtm/m/n/10 the given cus-tom model is iso-lated, or can ac-cess the pub-lic
 net-

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\T1/qtm/m/n/10 work. Val-ues: [\T1/qtm/m/it/10 datarobot.NETWORK_EGRESS_POLICY.
NONE\T1/qtm/m/n/10 ,

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[]\T1/txtt/bx/n/10 resource_bundle_id \T1/qtm/m/n/10 (\T1/txtt/m/n/10 Optional[
str]\T1/qtm/m/n/10 ) ^^U The ID of a

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[]\T1/txtt/bx/n/10 network_egress_policy \T1/qtm/m/n/10 (\T1/txtt/m/n/10 Option
al[str]\T1/qtm/m/n/10 ) ^^U De-ter-mines whether

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\T1/qtm/m/n/10 the given cus-tom model is iso-lated, or can ac-cess the pub-lic
 net-

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\T1/qtm/m/n/10 work. Val-ues: [\T1/qtm/m/it/10 datarobot.NETWORK_EGRESS_POLICY.
NONE\T1/qtm/m/n/10 ,
[851] [852] [853] [854] [855] [856]
Chapter 37.
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[869] [870] [871]
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[]\T1/txtt/bx/n/10 prompt_moderation_configuration \T1/qtm/m/n/10 (\T1/txtt/m/n
/10 ModerationConfigurationWithoutID\T1/qtm/m/n/10 , \T1/qtm/m/it/10 op-
[872]
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[]\T1/txtt/bx/n/10 response_moderation_configuration \T1/qtm/m/n/10 (\T1/txtt/m
/n/10 ModerationConfigurationWithoutID\T1/qtm/m/n/10 ,
[873] [874] [875] [876]
Chapter 38.
[877]
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[]\T1/txtt/bx/n/10 nemo_info \T1/qtm/m/n/10 (\T1/txtt/m/n/10 Optional\T1/qtm/m/
n/10 [[][]\T1/txtt/m/sl/10 GuardNemoInfo[][]\T1/qtm/m/n/10 ]) ^^U Ad-di-tional 
con-fig-u-ra-tion for NeMo

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[]\T1/txtt/bx/n/10 openai_api_key \T1/qtm/m/n/10 (\T1/txtt/m/n/10 str\T1/qtm/m/
n/10 ) ^^U To-ken to use for Ope-nAI. Dep-re-cated; use
[878]
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[]\T1/txtt/bx/n/10 nemo_info \T1/qtm/m/n/10 (\T1/txtt/m/n/10 Optional\T1/qtm/m/
n/10 [[][]\T1/txtt/m/sl/10 GuardNemoInfo[][]\T1/qtm/m/n/10 ]) ^^U Ad-di-tional 
con-fig-u-ra-tion for NeMo

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[]\T1/txtt/bx/n/10 openai_api_key \T1/qtm/m/n/10 (\T1/txtt/m/n/10 str\T1/qtm/m/
n/10 ) ^^U To-ken to use for Ope-nAI. Dep-re-cated; use
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[]\T1/txtt/bx/n/10 nemo_info \T1/qtm/m/n/10 (\T1/txtt/m/n/10 Optional\T1/qtm/m/
n/10 [[][]\T1/txtt/m/sl/10 GuardNemoInfo[][]\T1/qtm/m/n/10 ]) ^^U Ad-di-tional 
con-fig-u-ra-tion for NeMo

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[]\T1/txtt/bx/n/10 nemo_info \T1/qtm/m/n/10 (\T1/txtt/m/n/10 Optional\T1/qtm/m/
n/10 [[][]\T1/txtt/m/sl/10 GuardNemoInfo[][]\T1/qtm/m/n/10 ]) ^^U Ad-di-tional 
con-fig-u-ra-tion for NeMo
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Chapter 39.
[887]
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[]\T1/txtt/bx/n/10 max_wait \T1/qtm/m/n/10 (\T1/txtt/m/n/10 int\T1/qtm/m/n/10 ,
 \T1/qtm/m/it/10 op-tional\T1/qtm/m/n/10 ) ^^U Max-i-mum num-ber of sec-onds to
 wait when

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hours). Raises
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Chapter 40.

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[]\TS1/txtt/m/n/10 `\T1/txtt/m/n/10 python >>> from datarobot.insights import R
ocCurve >>> RocCurve.compute(

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\T1/txtt/m/n/10 "67643b2d87bb4954d7917323", data_slice_id="6764389b4bdd48581485
a58b

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\T1/txtt/m/n/10 ") <datarobot.models.status_check_job.StatusCheckJob object at

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\T1/txtt/m/n/10 0x7fc0b313cc40> >>> RocCurve.get("67643b2d87bb4954d7917323", da
ta_slice_id=

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\T1/txtt/m/n/10 "6764389b4bdd48581485a58b") <datarobot.insights.roc_curve.RocCu
rve object at

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\T1/txtt/m/n/10 0x7fc0a7549d20> >>> RocCurve.list("67643b2d87bb4954d7917323") [
<datarobot.

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\T1/txtt/m/n/10 insights.roc_curve.RocCurve object at 0x7fc0a7549f60>, ...] >>>
 RocCurve.

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\T1/txtt/m/n/10 list("67643b2d87bb4954d7917323")[0].roc_points [{\TS1/txtt/m/n/
10 '\T1/txtt/m/n/10 accuracy\TS1/txtt/m/n/10 '\T1/txtt/m/n/10 : 0.539375,

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\TS1/txtt/m/n/10 '\T1/txtt/m/n/10 f1_score\TS1/txtt/m/n/10 '\T1/txtt/m/n/10 : 0
.0, \TS1/txtt/m/n/10 '\T1/txtt/m/n/10 false_negative_score\TS1/txtt/m/n/10 '\T1
/txtt/m/n/10 : 737, \TS1/txtt/m/n/10 '\T1/txtt/m/n/10 true_negative_score\TS1/t
xtt/m/n/10 '\T1/txtt/m/n/10 : 863,
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[]\TS1/txtt/m/n/10 `\T1/txtt/m/n/10 python >>> from datarobot.insights import L
iftChart >>> LiftChart.compute(

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\T1/txtt/m/n/10 "67643b2d87bb4954d7917323", data_slice_id="6764389b4bdd48581485
a58b")

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\T1/txtt/m/n/10 <datarobot.models.status_check_job.StatusCheckJob object at 0x7
fa7f5ba20b0>

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\T1/txtt/m/n/10 >>> LiftChart.list("67643b2d87bb4954d7917323") [<datarobot.insi
ghts.

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\T1/txtt/m/n/10 lift_chart.LiftChart object at 0x7fe242eeaa10>, ... ] >>> LiftC
hart.get(

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\T1/txtt/m/n/10 "67643b2d87bb4954d7917323", data_slice_id="6764389b4bdd48581485
a58b").bins

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\T1/txtt/m/n/10 [{\TS1/txtt/m/n/10 '\T1/txtt/m/n/10 actual\TS1/txtt/m/n/10 '\T1
/txtt/m/n/10 : 0.4, \TS1/txtt/m/n/10 '\T1/txtt/m/n/10 predicted\TS1/txtt/m/n/10
 '\T1/txtt/m/n/10 : 0.22727272727272724, \TS1/txtt/m/n/10 '\T1/txtt/m/n/10 bin_
weight\TS1/txtt/m/n/10 '\T1/txtt/m/n/10 : 5.0}, ... ]
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[]\TS1/txtt/m/n/10 `\T1/txtt/m/n/10 python >>> from datarobot.insights import R
esiduals >>> Residuals.list(

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\T1/txtt/m/n/10 "672e32de69b0b676ced54d9c") [<datarobot.insights.residuals.Resi
duals

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\T1/txtt/m/n/10 object at 0x7fbce8305ae0>] >>> Residuals.compute("672e32de69b0b
676ced54d9c

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\T1/txtt/m/n/10 ", data_slice_id="677ae1249695103ba9feff97") <datarobot.models.


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\T1/txtt/m/n/10 status_check_job.StatusCheckJob object at 0x7fbcf4054b80> >>> R
esiduals.

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\T1/txtt/m/n/10 list("672e32de69b0b676ced54d9c") [<datarobot.insights.residuals
.Residuals

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\T1/txtt/m/n/10 object at 0x7fbce8305870>, <datarobot.insights.residuals.Residu
als

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\T1/txtt/m/n/10 object at 0x7fbce8305690>] >>> Residuals.get("672e32de69b0b676c
ed54d9c

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\T1/txtt/m/n/10 ", data_slice_id="677ae1249695103ba9feff97") <datarobot.insight
s.

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\T1/txtt/m/n/10 residuals.Residuals object at 0x7fbce83057b0> >>> Residuals.get
(

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\T1/txtt/m/n/10 "672e32de69b0b676ced54d9c", data_slice_id="677ae1249695103ba9fe
ff97").

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\T1/txtt/m/n/10 histogram [{\TS1/txtt/m/n/10 '\T1/txtt/m/n/10 interval_start\TS
1/txtt/m/n/10 '\T1/txtt/m/n/10 : []33.37288135593221, \TS1/txtt/m/n/10 '\T1/txt
t/m/n/10 interval_end\TS1/txtt/m/n/10 '\T1/txtt/m/n/10 : []32.
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\T1/txtt/bx/n/10 key_name \T1/qtm/m/n/10 (\T1/txtt/m/n/10 str\T1/qtm/m/n/10 ) ^
^U Item key name to sort data. One of \T1/txtt/m/n/10 feature_name\T1/qtm/m/n/1
0 ,
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[]\T1/txtt/bx/n/10 status \T1/qtm/m/n/10 (\T1/txtt/m/n/10 str\T1/qtm/m/n/10 ) ^
^U The sta-tus of the in-sight. One of \T1/txtt/m/n/10 datarobot.enums.
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[]\T1/txtt/m/n/10 [ [ True Negative, False Positive ], [ False Negative, True P
ositive
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[]\T1/txtt/bx/n/10 resolutions \T1/qtm/m/n/10 (\T1/txtt/m/n/10 list \T1/qtm/m/n
/10 of \T1/txtt/m/n/10 string\T1/qtm/m/n/10 ) ^^U A list of \T1/txtt/m/n/10 dat
arobot.enums.

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\T1/txtt/m/n/10 DATETIME_TREND_PLOTS_RESOLUTION\T1/qtm/m/n/10 , which rep-re-se
nts avail-able time res-o-lu-tions

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\T1/qtm/m/n/10 Sta-tus back-test/holdout train-ing. One of \T1/txtt/m/n/10 data
robot.enums.

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\T1/qtm/m/n/10 Sta-tus back-test/holdout val-i-da-tion. One of \T1/txtt/m/n/10 
datarobot.enums.
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[]\T1/txtt/bx/n/10 resolutions \T1/qtm/m/n/10 (\T1/txtt/m/n/10 list \T1/qtm/m/n
/10 of \T1/txtt/m/n/10 string\T1/qtm/m/n/10 ) ^^U A list of \T1/txtt/m/n/10 dat
arobot.enums.

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\T1/txtt/m/n/10 DATETIME_TREND_PLOTS_RESOLUTION\T1/qtm/m/n/10 , which rep-re-se
nts avail-able time res-o-lu-tions
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[]\T1/txtt/bx/n/10 resolutions \T1/qtm/m/n/10 (\T1/txtt/m/n/10 list \T1/qtm/m/n
/10 of \T1/txtt/m/n/10 string\T1/qtm/m/n/10 ) ^^U A list of \T1/txtt/m/n/10 dat
arobot.enums.

Underfull \hbox (badness 6592) in paragraph at lines 96366--96369
\T1/txtt/m/n/10 DATETIME_TREND_PLOTS_RESOLUTION\T1/qtm/m/n/10 , which rep-re-se
nts avail-able time res-o-lu-tions

Underfull \hbox (badness 10000) in paragraph at lines 96400--96402
\T1/qtm/m/n/10 Sta-tus back-test/holdout train-ing. One of \T1/txtt/m/n/10 data
robot.enums.

Underfull \hbox (badness 10000) in paragraph at lines 96407--96409
\T1/qtm/m/n/10 Sta-tus back-test/holdout val-i-da-tion. One of \T1/txtt/m/n/10 
datarobot.enums.
[926] [927] [928] [929] [930] [931]
Underfull \hbox (badness 10000) in paragraph at lines 97162--97165
[]\T1/txtt/bx/n/10 metric \T1/qtm/m/n/10 (\T1/txtt/m/n/10 enums.FEATURE_ASSOCIA
TION_METRIC\T1/qtm/m/n/10 ) ^^U The name of a met-

Underfull \hbox (badness 5563) in paragraph at lines 97162--97165
\T1/qtm/m/n/10 ric to get pair-wise data for. Since `v2.19' this is op-tional a
nd de-faults to

Underfull \hbox (badness 10000) in paragraph at lines 97167--97170
[]\T1/txtt/bx/n/10 association_type \T1/qtm/m/n/10 (\T1/txtt/m/n/10 enums.FEATU
RE_ASSOCIATION_TYPE\T1/qtm/m/n/10 ) ^^U The type of

Underfull \hbox (badness 10000) in paragraph at lines 97167--97170
\T1/qtm/m/n/10 de-pen-dence for the data. Since `v2.19' this is op-tional and d
e-faults to
[932] [933] [934] [935] [936] [937] [938] [939]
Underfull \hbox (badness 10000) in paragraph at lines 98281--98284
[]\T1/qtm/m/n/10 Com-pute a Pre-dic-tion-Ex-pla-na-tion-sIni-tial-iza-tion for 
the model via \T1/txtt/m/n/10 datarobot.

Underfull \hbox (badness 10000) in paragraph at lines 98286--98289
[]\T1/qtm/m/n/10 Com-pute pre-dic-tions for the model and dataset via \T1/txtt/
m/n/10 datarobot.Model.
[940]
Underfull \hbox (badness 6708) in paragraph at lines 98359--98365
\T1/qtm/m/n/10 Cre-ate the pre-dic-tion ex-pla-na-tions for the dataset used to
 train the model. This can be

Underfull \hbox (badness 6927) in paragraph at lines 98359--98365
\T1/qtm/m/n/10 re-trieved by call-ing \T1/txtt/m/n/10 dr.Model.get().featurelis
t_id\T1/qtm/m/n/10 . For OTV and time-series projects,

Underfull \hbox (badness 10000) in paragraph at lines 98375--98378
[]\T1/qtm/m/n/10 Com-pute a Pre-dic-tion-Ex-pla-na-tion-sIni-tial-iza-tion for 
the model via \T1/txtt/m/n/10 datarobot.

Underfull \hbox (badness 10000) in paragraph at lines 98380--98383
[]\T1/qtm/m/n/10 Com-pute pre-dic-tions for the model and dataset via \T1/txtt/
m/n/10 datarobot.Model.
[941] [942] [943] [944] [945] [946] [947] [948] [949] [950] [951] [952]
[953] [954]
Chapter 41.
[955] [956] [957] [958] [959] [960] [961] [962]
Chapter 42.
[963] [964] [965] [966]
Chapter 43.
[967] [968] [969] [970]
Underfull \hbox (badness 5696) in paragraph at lines 102060--102068
[]\T1/txtt/bx/n/10 deduplication_key \T1/qtm/m/n/10 (\T1/txtt/m/n/10 str \T1/qt
m/m/n/10 or \T1/txtt/m/n/10 None\T1/qtm/m/n/10 ) ^^U Op-tional. A 1-72 char-ac-
ter key that

Underfull \hbox (badness 7759) in paragraph at lines 102060--102068
[][]\T1/txtt/m/sl/10 MemorySessionDeduplicationError[][]\T1/qtm/m/n/10 , which 
car-ries \T1/txtt/m/n/10 existing_session_id \T1/qtm/m/n/10 so
[971] [972] [973] [974] [975] [976]
Chapter 44.
[977] [978]
Chapter 45.
[979] [980] [981] [982] [983] [984] [985] [986] [987] [988]
Overfull \vbox (1.64996pt too high) detected at line 104089
[989] [990] [991] [992] [993] [994]
Chapter 46.
[995]
Underfull \hbox (badness 10000) in paragraph at lines 104961--104963
[]\T1/txtt/bx/n/10 catalog_version_id \T1/qtm/m/n/10 (\T1/txtt/m/n/10 str\T1/qt
m/m/n/10 ) ^^U (New in ver-sion v3.0) The ob-ject ID of the
[996] [997] [998] [999] [1000] [1001]
Underfull \hbox (badness 10000) in paragraph at lines 105595--105601
\T1/qtm/m/n/10 the [][]\T1/qtm/m/it/10 Par-ti-tion Classes[][] \T1/qtm/m/n/10 d
e-fined in \T1/txtt/m/n/10 datarobot.helpers.partitioning_methods\T1/qtm/m/n/10
 .

Underfull \hbox (badness 10000) in paragraph at lines 105595--105601
\T1/qtm/m/n/10 As an al-ter-na-tive, use [][]\T1/txtt/m/sl/10 Project.set_parti
tioning_method[][] \T1/qtm/m/n/10 or [][]\T1/txtt/m/sl/10 Project.

Underfull \hbox (badness 10000) in paragraph at lines 105679--105686
[]\T1/txtt/bx/n/10 bias_mitigation_technique \T1/qtm/m/n/10 (\T1/txtt/m/n/10 Op
tional[str]\T1/qtm/m/n/10 ) ^^U One of

Underfull \hbox (badness 10000) in paragraph at lines 105679--105686
\T1/qtm/m/n/10 datarobot.enums.BiasMitigationTechnique Op-tions: - `\T1/qtm/m/i
t/10 pre-pro-cess-in-gReweigh-ing\T1/qtm/m/n/10 ' -

Underfull \hbox (badness 6876) in paragraph at lines 105679--105686
\T1/qtm/m/n/10 `\T1/qtm/m/it/10 post-Pro-cess-in-gRe-jec-tionOp-tion-Based-Clas
-si-fi-ca-tion\T1/qtm/m/n/10 ' The tech-nique by which we'll
[1002]
Underfull \hbox (badness 10000) in paragraph at lines 105688--105692
[]\T1/txtt/bx/n/10 include_bias_mitigation_feature_as_predictor_variable
[1003] [1004]
Underfull \hbox (badness 7888) in paragraph at lines 105909--105916
\T1/qtm/m/n/10 and \T1/txtt/m/n/10 AUTOPILOT_MODE.COMPREHENSIVE\T1/qtm/m/n/10 .
 \T1/txtt/m/n/10 COMPREHENSIVE\TS1/txtt/m/n/10 ` \T1/txtt/m/n/10 runs all bluep
rints

Underfull \hbox (badness 10000) in paragraph at lines 105909--105916
\T1/txtt/m/n/10 in the repository (this may be extremely slow). If unspecified,


Underfull \hbox (badness 10000) in paragraph at lines 105932--105938
\T1/qtm/m/n/10 the [][]\T1/qtm/m/it/10 Par-ti-tion Classes[][] \T1/qtm/m/n/10 d
e-fined in \T1/txtt/m/n/10 datarobot.helpers.partitioning_methods\T1/qtm/m/n/10
 .

Underfull \hbox (badness 10000) in paragraph at lines 105932--105938
\T1/qtm/m/n/10 As an al-ter-na-tive, use [][]\T1/txtt/m/sl/10 Project.set_parti
tioning_method[][] \T1/qtm/m/n/10 or [][]\T1/txtt/m/sl/10 Project.
[1005] [1006]
Underfull \hbox (badness 10000) in paragraph at lines 106134--106140
\T1/qtm/m/n/10 the [][]\T1/qtm/m/it/10 Par-ti-tion Classes[][] \T1/qtm/m/n/10 d
e-fined in \T1/txtt/m/n/10 datarobot.helpers.partitioning_methods\T1/qtm/m/n/10
 .

Underfull \hbox (badness 10000) in paragraph at lines 106134--106140
\T1/qtm/m/n/10 As an al-ter-na-tive, use [][]\T1/txtt/m/sl/10 Project.set_parti
tioning_method[][] \T1/qtm/m/n/10 or [][]\T1/txtt/m/sl/10 Project.

Underfull \hbox (badness 10000) in paragraph at lines 106180--106182
[]\T1/txtt/bx/n/10 class_mapping_aggregation_settings \T1/qtm/m/n/10 (\T1/txtt/
m/n/10 ClassMappingAggregationSettings\T1/qtm/m/n/10 ,
[1007] [1008]
Underfull \hbox (badness 10000) in paragraph at lines 106397--106405
[]\T1/txtt/bx/n/10 use_new_models_retrieval \T1/qtm/m/n/10 (\T1/txtt/m/n/10 boo
l\T1/qtm/m/n/10 , \T1/qtm/m/it/10 de-fault \T1/txtt/m/n/10 False\T1/qtm/m/n/10 
) ^^U If \T1/txtt/m/n/10 true\T1/qtm/m/n/10 , new re-

Underfull \hbox (badness 10000) in paragraph at lines 106397--106405
\T1/qtm/m/n/10 trieval route is used, which sup-ports fil-ter-ing and re-turns 
fewer at-tributes

Underfull \hbox (badness 10000) in paragraph at lines 106397--106405
\T1/qtm/m/n/10 per in-di-vid-ual model. Fol-low-ing at-tributes are ab-sent and
 could be re-

Underfull \hbox (badness 10000) in paragraph at lines 106397--106405
\T1/qtm/m/n/10 trieved from the blueprint level: \T1/txtt/m/n/10 monotonic_incr
easing_featurelist_id\T1/qtm/m/n/10 ,

Underfull \hbox (badness 10000) in paragraph at lines 106397--106405
\T1/txtt/m/n/10 monotonic_decreasing_featurelist_id\T1/qtm/m/n/10 , \T1/txtt/m/
n/10 supports_composable_ml \T1/qtm/m/n/10 and

Underfull \hbox (badness 10000) in paragraph at lines 106397--106405
\T1/txtt/m/n/10 supports_monotonic_constraints\T1/qtm/m/n/10 . Fol-low-ing at-t
ributes are ab-sent and

Underfull \hbox (badness 10000) in paragraph at lines 106397--106405
\T1/qtm/m/n/10 could be re-trieved from the in-di-vid-ual model level: \T1/txtt
/m/n/10 has_empty_clusters\T1/qtm/m/n/10 ,

Underfull \hbox (badness 10000) in paragraph at lines 106397--106405
\T1/txtt/m/n/10 is_n_clusters_dynamically_determined\T1/qtm/m/n/10 , \T1/txtt/m
/n/10 prediction_threshold \T1/qtm/m/n/10 and
[1009] [1010] [1011] [1012]
Underfull \hbox (badness 10000) in paragraph at lines 106755--106757
[]\T1/txtt/bx/n/10 credentials \T1/qtm/m/n/10 (\T1/txtt/m/n/10 Optional[List] a
 list \T1/qtm/m/n/10 of \T1/txtt/m/n/10 credentials for the datasets

Underfull \hbox (badness 7649) in paragraph at lines 106794--106797
[]\T1/txtt/bx/n/10 ValueError \T1/qtm/m/n/10 ^^U Raised if \T1/txtt/m/n/10 fore
cast_point \T1/qtm/m/n/10 or \T1/txtt/m/n/10 predictions_start_date \T1/qtm/m/n
/10 and
[1013]
Underfull \hbox (badness 10000) in paragraph at lines 106849--106851
[]\T1/txtt/bx/n/10 credentials \T1/qtm/m/n/10 (\T1/txtt/m/n/10 Optional[List] a
 list \T1/qtm/m/n/10 of \T1/txtt/m/n/10 credentials for the datasets

Underfull \hbox (badness 10000) in paragraph at lines 106914--106920
[]\T1/txtt/bx/n/10 credential_data \T1/qtm/m/n/10 (\T1/txtt/m/n/10 BasicCredent
ialsDataDict | S3CredentialsDataDict |
[1014] [1015] [1016]
Overfull \hbox (0.89392pt too wide) in paragraph at lines 107198--107202
[]\T1/txtt/bx/n/10 credentials \T1/qtm/m/n/10 (\T1/txtt/m/n/10 list[BasicCreden
tialsDict | CredentialIdCredentialsDict]\T1/qtm/m/n/10 ,
[1017] [1018] [1019] [1020] [1021] [1022] [1023] [1024] [1025]
Underfull \hbox (badness 10000) in paragraph at lines 108287--108296
[]\T1/txtt/bx/n/10 scoring_type \T1/qtm/m/n/10 (\T1/txtt/m/n/10 Optional[str]\T
1/qtm/m/n/10 ) ^^U Ei-ther \T1/txtt/m/n/10 validation \T1/qtm/m/n/10 or \T1/txt
t/m/n/10 crossValidation
[1026]
Underfull \hbox (badness 10000) in paragraph at lines 108386--108391
[]\T1/qtm/m/n/10 All du-ra-tions should be spec-i-fied with a du-ra-tion string
 such as those re-turned by the

Underfull \hbox (badness 8075) in paragraph at lines 108386--108391
[][]\T1/txtt/m/sl/10 partitioning_methods.construct_duration_string[][] \T1/qtm
/m/n/10 helper method. Please see [][]\T1/qtm/m/it/10 date-time

Underfull \hbox (badness 7133) in paragraph at lines 108403--108406
\T1/qtm/m/n/10 be used to train the model. If spec-i-fied, nei-ther \T1/txtt/m/
n/10 training_duration \T1/qtm/m/n/10 nor
[1027] [1028]
Underfull \hbox (badness 10000) in paragraph at lines 108605--108610
\T1/txtt/bx/n/10 status \T1/qtm/m/n/10 (\T1/txtt/m/n/10 QUEUE_STATUS enum\T1/qt
m/m/n/10 , \T1/qtm/m/it/10 op-tional\T1/qtm/m/n/10 ) ^^U If called with
[1029]
Underfull \hbox (badness 10000) in paragraph at lines 108783--108788
\T1/txtt/bx/n/10 status \T1/qtm/m/n/10 (\T1/txtt/m/n/10 QUEUE_STATUS enum\T1/qt
m/m/n/10 , \T1/qtm/m/it/10 op-tional\T1/qtm/m/n/10 ) ^^U If called with

Underfull \hbox (badness 5345) in paragraph at lines 108783--108788
\T1/qtm/m/n/10 QUEUE_STATUS.INPROGRESS, will re-turn the mod-el-ing jobs that a
re cur-rently

Underfull \hbox (badness 10000) in paragraph at lines 108828--108833
\T1/txtt/bx/n/10 status \T1/qtm/m/n/10 (\T1/txtt/m/n/10 QUEUE_STATUS enum\T1/qt
m/m/n/10 , \T1/qtm/m/it/10 op-tional\T1/qtm/m/n/10 ) ^^U If called with
[1030] [1031] [1032] [1033]
Underfull \hbox (badness 10000) in paragraph at lines 109222--109228
[]\T1/txtt/bx/n/10 fairness_metrics_set \T1/qtm/m/n/10 (\T1/txtt/m/n/10 Optiona
l[str].\T1/qtm/m/n/10 ) ^^U (New in ver-sion v2.24) Met-

Underfull \hbox (badness 10000) in paragraph at lines 109222--109228
\T1/qtm/m/n/10 ric to use for cal-cu-lat-ing fair-ness. Can be one of \T1/txtt/
m/n/10 proportionalParity\T1/qtm/m/n/10 ,

Underfull \hbox (badness 10000) in paragraph at lines 109241--109248
[]\T1/txtt/bx/n/10 bias_mitigation_technique \T1/qtm/m/n/10 (\T1/txtt/m/n/10 Op
tional[str]\T1/qtm/m/n/10 ) ^^U One of

Underfull \hbox (badness 10000) in paragraph at lines 109241--109248
\T1/qtm/m/n/10 datarobot.enums.BiasMitigationTechnique Op-tions: - `\T1/qtm/m/i
t/10 pre-pro-cess-in-gReweigh-ing\T1/qtm/m/n/10 ' -

Underfull \hbox (badness 6876) in paragraph at lines 109241--109248
\T1/qtm/m/n/10 `\T1/qtm/m/it/10 post-Pro-cess-in-gRe-jec-tionOp-tion-Based-Clas
-si-fi-ca-tion\T1/qtm/m/n/10 ' The tech-nique by which we'll

Underfull \hbox (badness 10000) in paragraph at lines 109250--109254
[]\T1/txtt/bx/n/10 include_bias_mitigation_feature_as_predictor_variable
[1034]
Overfull \hbox (3.89389pt too wide) in paragraph at lines 109285--109289
[]\T1/txtt/bx/n/10 number_of_incremental_learning_iterations_before_best_model_
selection
[1035]
Underfull \hbox (badness 10000) in paragraph at lines 109411--109414
[]\T1/txtt/bx/n/10 partitioning_method \T1/qtm/m/n/10 (\T1/txtt/m/n/10 Partitio
ningMethod\T1/qtm/m/n/10 , \T1/qtm/m/it/10 op-tional\T1/qtm/m/n/10 ) ^^U An in-
stance of

Underfull \hbox (badness 10000) in paragraph at lines 109411--109414
\T1/txtt/m/n/10 datarobot.helpers.partitioning_methods.PartitioningMethod \T1/q
tm/m/n/10 that will
[1036] [1037]
Underfull \hbox (badness 10000) in paragraph at lines 109705--109707
[]\T1/txtt/bx/n/10 ValueError \T1/qtm/m/n/10 ^^U If value of \T1/txtt/m/n/10 va
riable_type \T1/qtm/m/n/10 is not from \T1/txtt/m/n/10 datarobot.enums.
[1038] [1039] [1040] [1041]
Underfull \hbox (badness 10000) in paragraph at lines 110206--110213
[]\T1/txtt/bx/n/10 bias_mitigation_technique \T1/qtm/m/n/10 (\T1/txtt/m/n/10 Op
tional[str]\T1/qtm/m/n/10 ) ^^U One of

Underfull \hbox (badness 10000) in paragraph at lines 110206--110213
\T1/qtm/m/n/10 datarobot.enums.BiasMitigationTechnique Op-tions: - `\T1/qtm/m/i
t/10 pre-pro-cess-in-gReweigh-ing\T1/qtm/m/n/10 ' -

Underfull \hbox (badness 6876) in paragraph at lines 110206--110213
\T1/qtm/m/n/10 `\T1/qtm/m/it/10 post-Pro-cess-in-gRe-jec-tionOp-tion-Based-Clas
-si-fi-ca-tion\T1/qtm/m/n/10 ' The tech-nique by which we'll
[1042] [1043]
Underfull \hbox (badness 10000) in paragraph at lines 110413--110419
[]\T1/qtm/m/n/10 This is an al-ter-na-tive to pass-ing a spec-i-fi-ca-tion to [
][]\T1/txtt/m/sl/10 Project.analyze_and_model[][] \T1/qtm/m/n/10 via the

Underfull \hbox (badness 10000) in paragraph at lines 110424--110429
\T1/txtt/bx/n/10 datetime_partition_spec \T1/qtm/m/n/10 ([][]\T1/txtt/m/sl/10 D
atetimePartitioningSpecification[][]\T1/qtm/m/n/10 ) ^^U
[1044] [1045]
Underfull \hbox (badness 6364) in paragraph at lines 110628--110631
[]\T1/txtt/bx/n/10 consider_blenders_in_recommendation \T1/qtm/m/n/10 (\T1/txtt
/m/n/10 Optional[bool]\T1/qtm/m/n/10 ) ^^U (New in ver-sion

Underfull \hbox (badness 10000) in paragraph at lines 110699--110705
[]\T1/txtt/bx/n/10 fairness_metrics_set \T1/qtm/m/n/10 (\T1/txtt/m/n/10 Optiona
l[str].\T1/qtm/m/n/10 ) ^^U (New in ver-sion v2.24) Met-

Underfull \hbox (badness 10000) in paragraph at lines 110699--110705
\T1/qtm/m/n/10 ric to use for cal-cu-lat-ing fair-ness. Can be one of \T1/txtt/
m/n/10 proportionalParity\T1/qtm/m/n/10 ,
[1046]
Underfull \hbox (badness 10000) in paragraph at lines 110718--110725
[]\T1/txtt/bx/n/10 bias_mitigation_technique \T1/qtm/m/n/10 (\T1/txtt/m/n/10 Op
tional[str]\T1/qtm/m/n/10 ) ^^U One of

Underfull \hbox (badness 10000) in paragraph at lines 110718--110725
\T1/qtm/m/n/10 datarobot.enums.BiasMitigationTechnique Op-tions: - `pre-pro-ces
s-in-gReweigh-ing' -

Underfull \hbox (badness 6741) in paragraph at lines 110733--110735
[]\T1/txtt/bx/n/10 default_monotonic_increasing_featurelist_id \T1/qtm/m/n/10 (
\T1/txtt/m/n/10 Optional[str]\T1/qtm/m/n/10 ) ^^U Re-turned

Underfull \hbox (badness 6741) in paragraph at lines 110737--110739
[]\T1/txtt/bx/n/10 default_monotonic_decreasing_featurelist_id \T1/qtm/m/n/10 (
\T1/txtt/m/n/10 Optional[str]\T1/qtm/m/n/10 ) ^^U Re-turned

Underfull \hbox (badness 10000) in paragraph at lines 110782--110786
[]\T1/txtt/bx/n/10 number_of_incremental_learning_iterations_before_best_model_
selection
[1047] [1048] [1049]
Underfull \hbox (badness 10000) in paragraph at lines 111191--111194
[]\T1/qtm/m/n/10 This is the spec-i-fi-ca-tion that should be passed to [][]\T1
/txtt/m/sl/10 Project.analyze_and_model[][] \T1/qtm/m/n/10 via the

Underfull \hbox (badness 10000) in paragraph at lines 111201--111204
[]\T1/qtm/m/n/10 Note that ei-ther (\T1/txtt/m/n/10 holdout_start_date\T1/qtm/m
/n/10 , \T1/txtt/m/n/10 holdout_duration\T1/qtm/m/n/10 ) or (\T1/txtt/m/n/10 ho
ldout_start_date\T1/qtm/m/n/10 ,

Underfull \hbox (badness 10000) in paragraph at lines 111212--111215
[]\T1/txtt/bx/n/10 autopilot_data_selection_method \T1/qtm/m/n/10 (\T1/txtt/m/n
/10 str\T1/qtm/m/n/10 ) ^^U one of \T1/txtt/m/n/10 datarobot.enums.

Underfull \hbox (badness 7133) in paragraph at lines 111212--111215
\T1/txtt/m/n/10 DATETIME_AUTOPILOT_DATA_SELECTION_METHOD\T1/qtm/m/n/10 . Whethe
r mod-els cre-ated by the
[1050] [1051]
Underfull \hbox (badness 6927) in paragraph at lines 111329--111332
[]\T1/txtt/bx/n/10 periodicities \T1/qtm/m/n/10 (\T1/txtt/m/n/10 list \T1/qtm/m
/n/10 of [][]\T1/txtt/m/sl/10 Periodicity[][]\T1/qtm/m/n/10 , \T1/qtm/m/it/10 o
p-tional\T1/qtm/m/n/10 ) ^^U (New in ver-sion v2.9) a
[1052]
Underfull \hbox (badness 10000) in paragraph at lines 111503--111508
[]\T1/qtm/m/n/10 Op-tion 2 (New in ver-sion v2.20): Use \T1/txtt/m/n/10 index\T
1/qtm/m/n/10 , \T1/txtt/m/n/10 primary_training_start_date\T1/qtm/m/n/10 ,
[1053] [1054]
Underfull \hbox (badness 10000) in paragraph at lines 111645--111647
[]\T1/txtt/bx/n/10 time_unit \T1/qtm/m/n/10 (\T1/txtt/m/n/10 string\T1/qtm/m/n/
10 ) ^^U Time step unit, valid op-tions are val-ues from

Underfull \hbox (badness 10000) in paragraph at lines 111724--111727
[]\T1/txtt/bx/n/10 autopilot_data_selection_method \T1/qtm/m/n/10 (\T1/txtt/m/n
/10 str\T1/qtm/m/n/10 ) ^^U one of \T1/txtt/m/n/10 datarobot.enums.

Underfull \hbox (badness 7133) in paragraph at lines 111724--111727
\T1/txtt/m/n/10 DATETIME_AUTOPILOT_DATA_SELECTION_METHOD\T1/qtm/m/n/10 . Whethe
r mod-els cre-ated by the
[1055] [1056]
Underfull \hbox (badness 6927) in paragraph at lines 111897--111900
[]\T1/txtt/bx/n/10 periodicities \T1/qtm/m/n/10 (\T1/txtt/m/n/10 list \T1/qtm/m
/n/10 of [][]\T1/txtt/m/sl/10 Periodicity[][]\T1/qtm/m/n/10 , \T1/qtm/m/it/10 o
p-tional\T1/qtm/m/n/10 ) ^^U (New in ver-sion v2.9) a
[1057] [1058] [1059] [1060] [1061]
Underfull \hbox (badness 10000) in paragraph at lines 112544--112547
[]\T1/qtm/m/n/10 This is the spec-i-fi-ca-tion that should be passed to [][]\T1
/txtt/m/sl/10 Project.analyze_and_model[][] \T1/qtm/m/n/10 via the

Underfull \hbox (badness 10000) in paragraph at lines 112544--112547
\T1/txtt/m/n/10 partitioning_method \T1/qtm/m/n/10 pa-ram-e-ter. To see the ful
l par-ti-tion-ing use [][]\T1/txtt/m/sl/10 DatetimePartitioning.
[1062] [1063]
Underfull \hbox (badness 5741) in paragraph at lines 112763--112771
\T1/qtm/m/n/10 and \T1/txtt/m/n/10 validation_duration\T1/qtm/m/n/10 ). If \T1/
txtt/m/n/10 True\T1/qtm/m/n/10 , will use a start/end date ap-proach for
[1064] [1065] [1066] [1067] [1068] [1069] [1070] [1071] [1072]
Underfull \hbox (badness 10000) in paragraph at lines 114013--114015
[]\T1/txtt/bx/n/10 backtests \T1/qtm/m/n/10 (\T1/txtt/m/n/10 list \T1/qtm/m/n/1
0 of \T1/txtt/m/n/10 dicts containing validation_start_date \T1/qtm/m/n/10 and
[1073] [1074] [1075] [1076]
Underfull \hbox (badness 10000) in paragraph at lines 114406--114409
[]\T1/txtt/m/n/10 code \T1/qtm/m/n/10 : (str) The code for this coun-try; sup-p
ly it to \T1/txtt/m/n/10 CalendarFile.
[1077] [1078] [1079] [1080]
Chapter 47.
[1081]
Underfull \vbox (badness 10000) detected at line 114934
[1082]
Underfull \hbox (badness 10000) in paragraph at lines 115015--115019
[]\T1/txtt/bx/n/10 shap_warnings \T1/qtm/m/n/10 ([][]\T1/txtt/m/sl/10 list[][]\
T1/qtm/m/n/10 ) ^^U (New in ver-sion v2.21) Will

Underfull \hbox (badness 10000) in paragraph at lines 115015--115019
\T1/qtm/m/n/10 be present if \T1/txtt/m/n/10 explanation_algorithm \T1/qtm/m/n/
10 was set to
[1083] [1084] [1085] [1086]
Chapter 48.
[1087] [1088]
Underfull \hbox (badness 7099) in paragraph at lines 115708--115711
[]\T1/txtt/bx/n/10 entity \T1/qtm/m/n/10 (\T1/txtt/m/n/10 Union[UseCaseReferenc
eEntity\T1/qtm/m/n/10 , \T1/txtt/m/n/10 Project\T1/qtm/m/n/10 , \T1/txtt/m/n/10
 Dataset\T1/qtm/m/n/10 , [][]\T1/txtt/m/sl/10 Application[][]\T1/qtm/m/n/10 ,
[1089]
Underfull \hbox (badness 7099) in paragraph at lines 115750--115753
[]\T1/txtt/bx/n/10 entity \T1/qtm/m/n/10 (\T1/txtt/m/n/10 Union[UseCaseReferenc
eEntity\T1/qtm/m/n/10 , \T1/txtt/m/n/10 Project\T1/qtm/m/n/10 , \T1/txtt/m/n/10
 Dataset\T1/qtm/m/n/10 , [][]\T1/txtt/m/sl/10 Application[][]\T1/qtm/m/n/10 ,
[1090] [1091] [1092] [1093] [1094]
Chapter 49.
[1095] [1096] [1097] [1098] [1099] [1100] [1101] [1102] [1103] [1104]
Chapter 50.
[1105] [1106]
Underfull \hbox (badness 8075) in paragraph at lines 117545--117547
[]\T1/qtm/m/n/10 Sched-ules are now flat un-der the pipeline: \T1/txtt/m/n/10 P
ipelines.list_schedules \T1/qtm/m/n/10 and \T1/txtt/m/n/10 Pipelines.

Underfull \hbox (badness 10000) in paragraph at lines 117549--117551
[]\T1/txtt/m/n/10 Pipelines.create_image \T1/qtm/m/n/10 and \T1/txtt/m/n/10 Pip
elines.update_image \T1/qtm/m/n/10 ac-cept \T1/txtt/m/n/10 python_base_image\T1
/qtm/m/n/10 ;

Underfull \hbox (badness 6559) in paragraph at lines 117583--117585
[]\T1/qtm/m/n/10 Fixed the ex-per-i-men-tal pipelines \T1/txtt/m/n/10 list_* \T
1/qtm/m/n/10 meth-ods (\T1/txtt/m/n/10 Pipelines.list\T1/qtm/m/n/10 , \T1/txtt/
m/n/10 Pipelines.list_versions\T1/qtm/m/n/10 ,

Underfull \hbox (badness 6691) in paragraph at lines 117583--117585
\T1/txtt/m/n/10 Pipelines.list_inputs\T1/qtm/m/n/10 , \T1/txtt/m/n/10 Pipelines
.list_runs\T1/qtm/m/n/10 , \T1/txtt/m/n/10 Pipelines.list_schedules\T1/qtm/m/n/
10 , and \T1/txtt/m/n/10 Pipelines.

Underfull \hbox (badness 10000) in paragraph at lines 117591--117593
[]\T1/qtm/m/n/10 Added \T1/txtt/m/n/10 node_id \T1/qtm/m/n/10 sup-port to the e
x-per-i-men-tal pipelines per-task read meth-ods (\T1/txtt/m/n/10 Pipelines.

Underfull \hbox (badness 10000) in paragraph at lines 117591--117593
\T1/txtt/m/n/10 get_task_execution\T1/qtm/m/n/10 , \T1/txtt/m/n/10 Pipelines.ge
t_task_result\T1/qtm/m/n/10 , \T1/txtt/m/n/10 Pipelines.get_task_logs\T1/qtm/m/
n/10 , \T1/txtt/m/n/10 Pipelines.
[1107]
Underfull \hbox (badness 10000) in paragraph at lines 117607--117609
[]\T1/qtm/m/n/10 Added the \T1/txtt/m/n/10 [pipelines] \T1/qtm/m/n/10 in-stall 
ex-tra for \T1/txtt/m/n/10 datarobot[]early[]access\T1/qtm/m/n/10 : \T1/txtt/m/
n/10 pip install

Overfull \hbox (46.20569pt too wide) in paragraph at lines 117653--117655
[]\T1/qtm/m/n/10 Moved [][]\T1/txtt/m/sl/10 CustomScoringMetric[][]\T1/qtm/m/n/
10 , [][]\T1/txtt/m/sl/10 CustomScoringMetricVersion[][]\T1/qtm/m/n/10 , and []
[]\T1/txtt/m/sl/10 CustomScoringMetricVersionFileContents[][]

Underfull \hbox (badness 10000) in paragraph at lines 117690--117692
[]\T1/qtm/m/n/10 Added Mul-ti-l-abel as an op-tion for \T1/txtt/m/n/10 Custom M
odel Target Types <datarobot.enums.
[1108]
Underfull \hbox (badness 10000) in paragraph at lines 117694--117696
[]\T1/qtm/m/n/10 Added [][]\T1/txtt/m/sl/10 CustomScoringMetricVersionFileConte
nts[][] \T1/qtm/m/n/10 and [][]\T1/txtt/m/sl/10 CustomScoringMetricVersion.

Underfull \hbox (badness 7064) in paragraph at lines 117698--117700
[]\T1/qtm/m/n/10 Fixed [][]\T1/txtt/m/sl/10 CustomScoringMetric.list[][] \T1/qt
m/m/n/10 so \T1/txtt/m/n/10 isArchived \T1/qtm/m/n/10 is omit-ted when list-ing
 non-archived met-rics

Underfull \hbox (badness 10000) in paragraph at lines 117727--117729
[]\T1/qtm/m/n/10 Re-named \T1/txtt/m/n/10 PipelineEnvironment \T1/qtm/m/n/10 / 
\T1/txtt/m/n/10 PipelineEnvironmentVersion \T1/qtm/m/n/10 to \T1/txtt/m/n/10 Pi
pelineImage \T1/qtm/m/n/10 /

Underfull \hbox (badness 10000) in paragraph at lines 117727--117729
\T1/txtt/m/n/10 PipelineImageVersion\T1/qtm/m/n/10 , \T1/txtt/m/n/10 PipelineEn
vironmentStatus \T1/qtm/m/n/10 to \T1/txtt/m/n/10 PipelineImageStatus\T1/qtm/m/
n/10 , and field
[1109]
Underfull \hbox (badness 10000) in paragraph at lines 117829--117831
\T1/txtt/m/n/10 share_recipient_type=SHARING_RECIPIENT_TYPE.ORGANIZATION \T1/qt
m/m/n/10 or \T1/txtt/m/n/10 SHARING_RECIPIENT_TYPE.
[1110]
Underfull \hbox (badness 10000) in paragraph at lines 117948--117951
[]\T1/qtm/m/n/10 Ex-tended the project ad-vanced op-tions avail-able when set-t
ing a tar-get to in-clude new pa-

Underfull \hbox (badness 10000) in paragraph at lines 117948--117951
\T1/qtm/m/n/10 ram-e-ter \T1/txtt/bx/n/10 custom_metrics_losses_info \T1/qtm/m/
n/10 (part of the [][]\T1/txtt/m/sl/10 AdvancedOptions[][] \T1/qtm/m/n/10 ob-je
ct; API field
[1111]
Underfull \hbox (badness 10000) in paragraph at lines 117995--117997
[]\T1/qtm/m/n/10 Fixed an is-sue which caused an er-ror when Fea-ture Lists had
 an empty de-scrip-tion in

Underfull \hbox (badness 10000) in paragraph at lines 117999--118001
[]\T1/qtm/m/n/10 Fixed de-se-ri-al-iza-tion of \T1/txtt/m/n/10 ProjectOptions \
T1/qtm/m/n/10 when load-ing project op-tions from the server:

Underfull \hbox (badness 10000) in paragraph at lines 117999--118001
\T1/txtt/m/n/10 feature_engineering_prediction_point\T1/qtm/m/n/10 , \T1/txtt/m
/n/10 user_partition_col\T1/qtm/m/n/10 , and each en-try in
[1112] [1113]
Underfull \hbox (badness 10000) in paragraph at lines 118248--118251
[]\T1/qtm/m/n/10 Added ini-tial sup-port for DataRobot file sys-tem and Files A
PI with fsspec im-ple-men-ta-tion
[1114]
Underfull \hbox (badness 10000) in paragraph at lines 118325--118328
[]\T1/qtm/m/n/10 Added sup-port for ex-ter-nal OAuth provider cre-den-tials, in
-clud-ing the new \T1/txtt/m/n/10 CredentialTypes.

Underfull \hbox (badness 10000) in paragraph at lines 118325--118328
\T1/txtt/m/n/10 EXTERNAL_OAUTH_PROVIDER \T1/qtm/m/n/10 enum value and the cre-a
tion helper \T1/txtt/m/n/10 Credential.
[1115]
Underfull \hbox (badness 10000) in paragraph at lines 118444--118446
[]\T1/qtm/m/n/10 Up-dated [][]\T1/txtt/m/sl/10 MetricInsights.list[][] \T1/qtm/
m/n/10 to add ad-di-tional pa-ram-e-ters \T1/txtt/m/n/10 with_aggregation_types
_only\T1/qtm/m/n/10 ,

Underfull \hbox (badness 7081) in paragraph at lines 118460--118462
[]\T1/qtm/m/n/10 Made \T1/txtt/m/n/10 variables \T1/qtm/m/n/10 pa-ram-e-ter op-
tional in [][]\T1/txtt/m/sl/10 PromptTemplateVersion.create[][] \T1/qtm/m/n/10 
and [][]\T1/txtt/m/sl/10 PromptTemplate.
[1116]
Underfull \hbox (badness 10000) in paragraph at lines 118548--118550
[]\T1/qtm/m/n/10 Im-proved doc-u-men-ta-tion for recipe cre-ation meth-ods [][]
\T1/txtt/m/sl/10 Recipe.from_dataset[][] \T1/qtm/m/n/10 and [][]\T1/txtt/m/sl/1
0 Recipe.

Underfull \hbox (badness 10000) in paragraph at lines 118552--118554
[]\T1/qtm/m/n/10 Im-proved doc-u-men-ta-tion for the recipe in-put wrap-per cla
sses [][]\T1/txtt/m/sl/10 RecipeDatasetInput[][] \T1/qtm/m/n/10 and
[1117]
Underfull \hbox (badness 8038) in paragraph at lines 118644--118646
[]\T1/qtm/m/n/10 Up-dated \T1/txtt/m/n/10 CustomTemplate.list \T1/qtm/m/n/10 to
 ac-cept ad-di-tional pa-ram-e-ters for \T1/txtt/m/n/10 publisher\T1/qtm/m/n/10
 , \T1/txtt/m/n/10 category\T1/qtm/m/n/10 , and

Underfull \hbox (badness 10000) in paragraph at lines 118680--118682
[]\T1/qtm/m/n/10 Added op-tional pa-ram-e-ters \T1/txtt/m/n/10 retrieval_mode \
T1/qtm/m/n/10 and \T1/txtt/m/n/10 maximal_marginal_relevance_lambda \T1/qtm/m/n
/10 to
[1118]
Underfull \hbox (badness 10000) in paragraph at lines 118779--118781
[]\T1/qtm/m/n/10 Added op-tional pa-ram-e-ters \T1/txtt/m/n/10 vector_database_
default_prediction_server_id\T1/qtm/m/n/10 ,

Underfull \hbox (badness 10000) in paragraph at lines 118779--118781
\T1/txtt/m/n/10 vector_database_prediction_environment_id\T1/qtm/m/n/10 , \T1/t
xtt/m/n/10 vector_database_maximum_memory\T1/qtm/m/n/10 ,

Underfull \hbox (badness 10000) in paragraph at lines 118779--118781
\T1/txtt/m/n/10 vector_database_resource_bundle_id\T1/qtm/m/n/10 , \T1/txtt/m/n
/10 vector_database_replicas\T1/qtm/m/n/10 , and

Underfull \hbox (badness 10000) in paragraph at lines 118779--118781
\T1/txtt/m/n/10 vector_database_network_egress_policy \T1/qtm/m/n/10 to [][]\T1
/txtt/m/sl/10 LLMBlueprint.register_custom_model[][] \T1/qtm/m/n/10 to al-low
[1119] [1120]
Overfull \hbox (1.74904pt too wide) in paragraph at lines 118926--118928
[]\T1/qtm/m/n/10 Added op-tional pa-ram-e-ter \T1/txtt/m/n/10 chunk_definition_
id \T1/qtm/m/n/10 in [][]\T1/txtt/m/sl/10 Model.start_incremental_learning_from
_sample[][]

Underfull \hbox (badness 10000) in paragraph at lines 118975--118977
[]\T1/qtm/m/n/10 Ex-tended [][]\T1/txtt/m/sl/10 VectorDatabase.create[][] \T1/q
tm/m/n/10 to sup-port an ad-di-tional meta-data dataset via in-put params
[1121]
Underfull \hbox (badness 10000) in paragraph at lines 119012--119014
[]\T1/qtm/m/n/10 Fixed [][]\T1/txtt/m/sl/10 PlaygroundOOTBMetricConfiguration.c
reate[][] \T1/qtm/m/n/10 by us-ing the right pay-load for
[1122]
Underfull \hbox (badness 10000) in paragraph at lines 119187--119189
[]\T1/qtm/m/n/10 Added new at-tributes \T1/txtt/m/n/10 prediction_point\T1/qtm/
m/n/10 , \T1/txtt/m/n/10 relationships_configuration_id \T1/qtm/m/n/10 and

Underfull \hbox (badness 10000) in paragraph at lines 119235--119237
[]\T1/qtm/m/n/10 Ex-tended the ad-vanced op-tions avail-able when set-ting a ta
r-get to in-clude pa-ram-e-ter: `fea-
[1123]
Underfull \hbox (badness 10000) in paragraph at lines 119247--119250
[]\T1/qtm/m/n/10 Added \T1/txtt/m/n/10 NonChatAwareCustomModelValidation \T1/qt
m/m/n/10 as the base class for

Underfull \hbox (badness 7777) in paragraph at lines 119247--119250
[][]\T1/txtt/m/sl/10 CustomModelVectorDatabaseValidation[][] \T1/qtm/m/n/10 and
 [][]\T1/txtt/m/sl/10 CustomModelEmbeddingValidation[][]\T1/qtm/m/n/10 . In con
-trast,

Underfull \hbox (badness 10000) in paragraph at lines 119252--119254
[]\T1/qtm/m/n/10 Added op-tional pa-ram-e-ter \T1/txtt/m/n/10 chat_model_id \T1
/qtm/m/n/10 to [][]\T1/txtt/m/sl/10 CustomModelLLMValidation.create[][] \T1/qtm
/m/n/10 and

Underfull \hbox (badness 10000) in paragraph at lines 119322--119324
[]\T1/qtm/m/n/10 Fixed a Use Case query pa-ram-e-ter name in \T1/txtt/m/n/10 Cu
stomModelLLMValidation.list\T1/qtm/m/n/10 ,
[1124]
Underfull \hbox (badness 10000) in paragraph at lines 119335--119337
[]\T1/qtm/m/n/10 Method [][]\T1/txtt/m/sl/10 CustomModelLLMValidation.create[][
] \T1/qtm/m/n/10 no longer re-quires the \T1/txtt/m/n/10 prompt_column_name \T1
/qtm/m/n/10 and
[1125] [1126] [1127]
Underfull \hbox (badness 10000) in paragraph at lines 119747--119750
[]\T1/qtm/m/n/10 Add new at-tributes to [][]\T1/txtt/m/sl/10 VectorDatabase[][]
\T1/qtm/m/n/10 : \T1/txtt/m/n/10 parent_id\T1/qtm/m/n/10 , \T1/txtt/m/n/10 fami
ly_id\T1/qtm/m/n/10 , \T1/txtt/m/n/10 metadata_columns\T1/qtm/m/n/10 ,

Underfull \hbox (badness 10000) in paragraph at lines 119813--119815
[]\T1/qtm/m/n/10 Up-dated the schema for [][]\T1/txtt/m/sl/10 EvaluationDataset
MetricAggregation[][] \T1/qtm/m/n/10 to in-clude the new at-tributes
[1128]
Underfull \hbox (badness 10000) in paragraph at lines 119891--119893
[]\T1/qtm/m/n/10 Added the pa-ram-e-ter \T1/txtt/m/n/10 base_path \T1/qtm/m/n/1
0 to [][]\T1/txtt/m/sl/10 get_encoded_file_contents_from_paths[][] \T1/qtm/m/n/
10 and

Underfull \hbox (badness 10000) in paragraph at lines 119900--119907
[]\T1/qtm/m/n/10 Fixed field in [][]\T1/txtt/m/sl/10 CustomTaskVersion[][] \T1/
qtm/m/n/10 for con-trol-ling net-work poli-cies. This is changed from

Underfull \hbox (badness 10000) in paragraph at lines 119927--119929
[]\T1/qtm/m/n/10 Dep-re-cated [][]\T1/txtt/m/sl/10 Model.request_fairness_insig
hts[][]\T1/qtm/m/n/10 . Please use [][]\T1/txtt/m/sl/10 Model.
[1129]
Underfull \hbox (badness 10000) in paragraph at lines 119947--119949
[]\T1/qtm/m/n/10 Re-named \T1/txtt/m/n/10 datarobot.enums.CustomTaskOutgoingNet
workPolicy \T1/qtm/m/n/10 to [][]\T1/txtt/m/sl/10 datarobot.enums.

Overfull \hbox (27.38004pt too wide) in paragraph at lines 120009--120011
[]\T1/qtm/m/n/10 Up-dated the de-scrip-tion for the pa-ram-e-ter: `num-ber_of_i
ncremental_learning_iterations_before_best_model_selection'
[1130]
Underfull \hbox (badness 10000) in paragraph at lines 120072--120075
[]\T1/txtt/m/n/10 datarobot._experimental.models.time_series_wrangling_template
.user_flow_template
[1131]
Underfull \hbox (badness 10000) in paragraph at lines 120243--120246
[]\T1/qtm/m/n/10 Added a new class \T1/txtt/m/n/10 SyntheticEvaluationDataset \
T1/qtm/m/n/10 for syn-thetic dataset gen-er-a-tion. Use
[1132]
Underfull \hbox (badness 10000) in paragraph at lines 120373--120375
[]\T1/qtm/m/n/10 Added a new pa-ram-e-ter \T1/txtt/m/n/10 entity_type \T1/qtm/m
/n/10 to the \T1/txtt/m/n/10 compute \T1/qtm/m/n/10 and \T1/txtt/m/n/10 create 
\T1/qtm/m/n/10 meth-ods of the classes
[1133]
Underfull \hbox (badness 10000) in paragraph at lines 120512--120516
[]\T1/qtm/m/n/10 Ex-tended the ad-vanced op-tions avail-able when set-ting a ta
r-get to in-clude new pa-ram-e-ter:
[1134]
Underfull \hbox (badness 10000) in paragraph at lines 120592--120594
[][][]\T1/txtt/m/sl/10 RuntimeParameterValue[][] \T1/qtm/m/n/10 to de-fine run-
time pa-ram-e-ter over-ride value, to be as-signed to
[1135]
Underfull \hbox (badness 10000) in paragraph at lines 120667--120670
[]\T1/qtm/m/n/10 Added new pa-ram-e-ter \T1/txtt/m/n/10 prediction_threshold \T
1/qtm/m/n/10 to [][]\T1/txtt/m/sl/10 BatchPredictionJob.

Underfull \hbox (badness 7344) in paragraph at lines 120667--120670
\T1/txtt/m/sl/10 score_with_leaderboard_model[][] \T1/qtm/m/n/10 and [][]\T1/tx
tt/m/sl/10 BatchPredictionJob.score[][] \T1/qtm/m/n/10 that au-to-mat-i-cally a
s-signs the

Underfull \hbox (badness 10000) in paragraph at lines 120739--120741
[]\T1/qtm/m/n/10 Added new enum value to \T1/txtt/m/n/10 datarobot.enums.TARGET
_TYPE \T1/qtm/m/n/10 and \T1/txtt/m/n/10 datarobot.enums.
[1136]
Underfull \hbox (badness 10000) in paragraph at lines 120899--120901
[]\T1/qtm/m/n/10 Added a new pa-ram-e-ter \T1/txtt/m/n/10 base_environment_vers
ion_id \T1/qtm/m/n/10 to [][]\T1/txtt/m/sl/10 CustomModelVersion.
[1137] [1138] [1139]
Underfull \hbox (badness 10000) in paragraph at lines 121254--121256
[]\T1/qtm/m/n/10 Added new meth-ods to the class \T1/txtt/m/n/10 Notebook \T1/q
tm/m/n/10 which in-cludes \T1/txtt/m/n/10 Notebook.run \T1/qtm/m/n/10 and \T1/t
xtt/m/n/10 Notebook.
[1140] [1141]
Underfull \hbox (badness 10000) in paragraph at lines 121481--121483
\T1/qtm/m/n/10 All in-ter-ac-tions with \T1/txtt/m/n/10 Project.advanced_option
s \T1/qtm/m/n/10 should be ex-pected to be through the
[1142] [1143] [1144] [1145]
Underfull \hbox (badness 10000) in paragraph at lines 121938--121940
[]\T1/qtm/m/n/10 If the user con-fig-ures the client via \T1/txtt/m/n/10 Client
(...)\T1/qtm/m/n/10 , then in-voke \T1/txtt/m/n/10 Client(...,

Underfull \hbox (badness 10000) in paragraph at lines 121942--121944
[]\T1/qtm/m/n/10 If the user con-fig-ures the client via dr.config.yaml, then a
dd the prop-erty

Underfull \hbox (badness 10000) in paragraph at lines 121946--121948
[]\T1/qtm/m/n/10 If the user con-fig-ures the client via env vars, then set the
 env var
[1146]
Underfull \hbox (badness 10000) in paragraph at lines 122121--122123
[]\T1/qtm/m/n/10 Added new method for re-triev-ing all avail-able fea-ture im-p
acts for the model [][]\T1/txtt/m/sl/10 Model.

Underfull \hbox (badness 10000) in paragraph at lines 122145--122147
\T1/txtt/m/sl/10 PredictionExplanations.get_all_as_dataframe()[][] \T1/qtm/m/n/
10 and [][]\T1/txtt/m/sl/10 datarobot.PredictionExplanations.
[1147] [1148]
Underfull \hbox (badness 10000) in paragraph at lines 122274--122277
[]\T1/txtt/m/n/10 DatetimeModel.get_feature_fit_metadata() \T1/qtm/m/n/10 has b
een re-moved. Use [][]\T1/txtt/m/sl/10 DatetimeModel.

Underfull \hbox (badness 10000) in paragraph at lines 122284--122287
[]\T1/txtt/m/n/10 DatetimeModel.request_feature_fit \T1/qtm/m/n/10 has been re-
moved. Use [][]\T1/txtt/m/sl/10 DatetimeModel.

Underfull \hbox (badness 10000) in paragraph at lines 122299--122302
[]\T1/txtt/m/n/10 Model.get_or_request_feature_fit \T1/qtm/m/n/10 has been re-m
oved. Use [][]\T1/txtt/m/sl/10 Model.

Underfull \hbox (badness 10000) in paragraph at lines 122304--122307
[]\T1/txtt/m/n/10 DatetimeModel.get_or_request_feature_fit \T1/qtm/m/n/10 has b
een re-moved. Use [][]\T1/txtt/m/sl/10 DatetimeModel.
[1149]
Underfull \hbox (badness 10000) in paragraph at lines 122466--122470
[]\T1/qtm/m/n/10 Added new meth-ods [][]\T1/txtt/m/sl/10 BatchPredictionJob.app
ly_time_series_data_prep_and_score[][] \T1/qtm/m/n/10 and

Underfull \hbox (badness 7221) in paragraph at lines 122466--122470
[][]\T1/txtt/m/sl/10 BatchPredictionJob.apply_time_series_data_prep_and_score_t
o_file[][] \T1/qtm/m/n/10 that ap-ply time se-ries

Underfull \hbox (badness 10000) in paragraph at lines 122472--122477
[]\T1/qtm/m/n/10 Added new meth-ods [][]\T1/txtt/m/sl/10 DataEngineQueryGenerat
or.prepare_prediction_dataset[][] \T1/qtm/m/n/10 and

Underfull \hbox (badness 7308) in paragraph at lines 122472--122477
[][]\T1/txtt/m/sl/10 DataEngineQueryGenerator.prepare_prediction_dataset_from_c
atalog[][] \T1/qtm/m/n/10 that ap-ply time se-ries
[1150]
Underfull \hbox (badness 10000) in paragraph at lines 122582--122584
[]\T1/qtm/m/n/10 Up-date the doc-u-men-ta-tion to sug-gest that set-ting \T1/tx
tt/m/n/10 use_backtest_start_end_format \T1/qtm/m/n/10 of
[1151] [1152] [1153]
Underfull \hbox (badness 10000) in paragraph at lines 122867--122870
[]\T1/qtm/m/n/10 Added sup-port for cre-at-ing mono-tonic fea-ture lists for ti
me se-ries projects. Set

Underfull \hbox (badness 10000) in paragraph at lines 122872--122874
[]\T1/qtm/m/n/10 Added in-for-ma-tion about ver-tex to ad-vanced tun-ing pa-ram
-e-ters [][]\T1/txtt/m/sl/10 datarobot.models.Model.

Underfull \hbox (badness 10000) in paragraph at lines 122955--122957
[][][]\T1/txtt/m/sl/10 CustomModelVersion[][]\T1/qtm/m/n/10 's \T1/txtt/m/n/10 
required_metadata \T1/qtm/m/n/10 pa-ram-e-ter has been re-moved. Use

Underfull \hbox (badness 10000) in paragraph at lines 122959--122961
[][][]\T1/txtt/m/sl/10 CustomTaskVersion[][]\T1/qtm/m/n/10 's \T1/txtt/m/n/10 r
equired_metadata \T1/qtm/m/n/10 pa-ram-e-ter has been re-moved. Use
[1154]
Underfull \hbox (badness 6364) in paragraph at lines 122991--122993
[]\T1/qtm/m/n/10 The [][]\T1/txtt/m/sl/10 Deployment[][] \T1/qtm/m/n/10 method 
\T1/txtt/m/n/10 create_from_custom_model_image \T1/qtm/m/n/10 was re-moved. Use
 [][]\T1/txtt/m/sl/10 Deployment.
[1155]
Underfull \hbox (badness 10000) in paragraph at lines 123114--123121
[]\T1/qtm/m/n/10 Added sup-port to pass cal-cu-la-tion mode to pre-dic-tion ex-
pla-na-tions (\T1/txtt/m/n/10 mode \T1/qtm/m/n/10 pa-ram-e-ter in

Underfull \hbox (badness 10000) in paragraph at lines 123114--123121
[][]\T1/txtt/m/sl/10 PredictionExplanations.create[][]\T1/qtm/m/n/10 ) as well 
as batch scor-ing (\T1/txtt/m/n/10 explanations_mode \T1/qtm/m/n/10 in
[1156]
Underfull \hbox (badness 10000) in paragraph at lines 123314--123316
[]\T1/qtm/m/n/10 Up-date the doc-u-men-ta-tion to sug-gest that \T1/txtt/m/n/10
 feature_derivation_window_end \T1/qtm/m/n/10 of [][]\T1/txtt/m/sl/10 datarobot
.

Underfull \hbox (badness 10000) in paragraph at lines 123332--123335
[]\T1/qtm/m/n/10 Added the abil-ity to turn off su-per-vised fea-ture re-duc-ti
on for Time Se-ries projects. Op-tion
[1157] [1158]
Underfull \hbox (badness 10000) in paragraph at lines 123584--123587
[]\T1/qtm/m/n/10 Dep-re-cat-ing sca-le-out pa-ram-e-ters for projects / mod-els
. In-cludes \T1/txtt/m/n/10 scaleout_modeling_mode\T1/qtm/m/n/10 ,
[1159]
Underfull \hbox (badness 6268) in paragraph at lines 123685--123688
[]\T1/qtm/m/n/10 Added the abil-ity to up-load a pre-dic-tion dataset into a pr
oject from the AI cat-a-log [][]\T1/txtt/m/sl/10 Project.

Underfull \hbox (badness 10000) in paragraph at lines 123720--123724
[]\T1/qtm/m/n/10 Added the abil-ity to con-trol class map-ping ag-gre-ga-tion i
n mul-ti-class projects via
[1160]
Underfull \hbox (badness 10000) in paragraph at lines 123730--123738
[]\T1/qtm/m/n/10 Added the abil-ity to com-pute and re-trieve Fea-ture Ef-fects
 for a Mul-ti-class model us-

Underfull \hbox (badness 10000) in paragraph at lines 123730--123738
\T1/qtm/m/n/10 ing [][]\T1/txtt/m/sl/10 datarobot.models.Model.request_feature_
effects_multiclass()[][]\T1/qtm/m/n/10 , [][]\T1/txtt/m/sl/10 datarobot.

Underfull \hbox (badness 10000) in paragraph at lines 123730--123738
\T1/txtt/m/sl/10 models.Model.get_feature_effects_multiclass()[][] \T1/qtm/m/n/
10 or [][]\T1/txtt/m/sl/10 datarobot.models.Model.

Underfull \hbox (badness 10000) in paragraph at lines 123730--123738
\T1/txtt/m/sl/10 get_or_request_feature_effects_multiclass()[][] \T1/qtm/m/n/10
 meth-ods. For date-time mod-els use fol-low-

Underfull \hbox (badness 10000) in paragraph at lines 123730--123738
\T1/qtm/m/n/10 ing meth-ods [][]\T1/txtt/m/sl/10 datarobot.models.DatetimeModel
.request_feature_effects_multiclass()[][]\T1/qtm/m/n/10 ,

Underfull \hbox (badness 10000) in paragraph at lines 123730--123738
[][]\T1/txtt/m/sl/10 datarobot.models.DatetimeModel.get_feature_effects_multicl
ass()[][] \T1/qtm/m/n/10 or [][]\T1/txtt/m/sl/10 datarobot.models.
[1161]
Underfull \hbox (badness 10000) in paragraph at lines 123880--123883
[]\T1/qtm/m/n/10 Fix [][]\T1/txtt/m/sl/10 datarobot.CustomTaskVersion[][] \T1/q
tm/m/n/10 and [][]\T1/txtt/m/sl/10 datarobot.CustomModelVersion[][] \T1/qtm/m/n
/10 to cor-rectly for-mat

Underfull \hbox (badness 10000) in paragraph at lines 123956--123959
[]\T1/qtm/m/n/10 Added the abil-ity to re-quest a spe-cific model be pre-pared 
for de-ploy-ment us-ing [][]\T1/txtt/m/sl/10 Project.
[1162] [1163]
Underfull \hbox (badness 10000) in paragraph at lines 124201--124204
[]\T1/qtm/m/n/10 The \T1/txtt/m/n/10 required_metadata \T1/qtm/m/n/10 prop-erty
 of [][]\T1/txtt/m/sl/10 datarobot.CustomModelVersion[][] \T1/qtm/m/n/10 has be
en dep-re-cated.

Underfull \hbox (badness 10000) in paragraph at lines 124206--124209
[]\T1/qtm/m/n/10 The \T1/txtt/m/n/10 required_metadata \T1/qtm/m/n/10 prop-erty
 of [][]\T1/txtt/m/sl/10 datarobot.CustomTaskVersion[][] \T1/qtm/m/n/10 has bee
n dep-re-cated.
[1164]
Underfull \hbox (badness 7907) in paragraph at lines 124377--124382
[]\T1/qtm/m/n/10 Sup-port for Batch Pre-dic-tion Job Def-i-ni-tions has now bee
n added through the fol-low-ing class:
[1165]
Underfull \hbox (badness 10000) in paragraph at lines 124419--124422
[]\T1/qtm/m/n/10 Added method to down-load fea-ture dis-cov-ery recipe SQLs (li
m-ited beta fea-ture). [][]\T1/txtt/m/sl/10 Project.

Underfull \hbox (badness 10000) in paragraph at lines 124495--124500
[]\T1/qtm/m/n/10 Par-tial his-tory pre-dic-tions can be made with time se-ries 
time se-ries mul-ti-series mod-els us-

Underfull \hbox (badness 10000) in paragraph at lines 124495--124500
\T1/qtm/m/n/10 ing the \T1/txtt/m/n/10 allow_partial_history_time_series_predic
tions \T1/qtm/m/n/10 at-tribute of the [][]\T1/txtt/m/sl/10 datarobot.
[1166]
Underfull \hbox (badness 10000) in paragraph at lines 124520--124528
[][]\T1/txtt/m/sl/10 PairwiseJointProbabilities[][] \T1/qtm/m/n/10 and [][]\T1/
txtt/m/sl/10 PairwiseConditionalProbabilities[][] \T1/qtm/m/n/10 or [][]\T1/txt
t/m/sl/10 Feature.

Underfull \hbox (badness 10000) in paragraph at lines 124520--124528
\T1/txtt/m/sl/10 get_pairwise_correlations[][]\T1/qtm/m/n/10 , [][]\T1/txtt/m/s
l/10 Feature.get_pairwise_joint_probabilities[][] \T1/qtm/m/n/10 and [][]\T1/tx
tt/m/sl/10 Feature.

Underfull \hbox (badness 10000) in paragraph at lines 124596--124599
[]\T1/qtm/m/n/10 Sup-port for down-load-ing fea-ture dis-cov-ery train-ing or p
re-dic-tion dataset us-ing [][]\T1/txtt/m/sl/10 Project.

Underfull \hbox (badness 10000) in paragraph at lines 124601--124607
[]\T1/qtm/m/n/10 Added [][]\T1/txtt/m/sl/10 datarobot.models.FeatureAssociation
Matrix[][]\T1/qtm/m/n/10 , [][]\T1/txtt/m/sl/10 datarobot.models.

Underfull \hbox (badness 10000) in paragraph at lines 124601--124607
\T1/txtt/m/sl/10 FeatureAssociationMatrixDetails[][] \T1/qtm/m/n/10 and [][]\T1
/txtt/m/sl/10 datarobot.models.FeatureAssociationFeaturelists[][]
[1167]
Underfull \hbox (badness 10000) in paragraph at lines 124631--124638
[]\T1/qtm/m/n/10 Re-move \T1/txtt/m/n/10 desired_memory \T1/qtm/m/n/10 param fr
om the fol-low-ing meth-ods: [][]\T1/txtt/m/sl/10 CustomInferenceModel.

Underfull \hbox (badness 10000) in paragraph at lines 124631--124638
\T1/txtt/m/sl/10 create[][]\T1/qtm/m/n/10 , [][]\T1/txtt/m/sl/10 CustomModelVer
sion.create_clean[][]\T1/qtm/m/n/10 , [][]\T1/txtt/m/sl/10 CustomModelVersion.c
reate_from_previous[][]\T1/qtm/m/n/10 ,
[1168]
Underfull \hbox (badness 8170) in paragraph at lines 124767--124770
[]\T1/qtm/m/n/10 Fea-ture dis-cov-ery projects can now be cre-ated us-ing the [
][]\T1/txtt/m/sl/10 Project.start[][] \T1/qtm/m/n/10 method by pro-vid-ing

Underfull \hbox (badness 10000) in paragraph at lines 124772--124775
\T1/txtt/m/sl/10 get[][] \T1/qtm/m/n/10 Cor-re-spond-ing fea-ture lin-eage id i
s avail-able as a new [][]\T1/txtt/m/sl/10 datarobot.models.Feature[][] \T1/qtm
/m/n/10 field
[1169]
Underfull \hbox (badness 10000) in paragraph at lines 124855--124860
[]\T1/qtm/m/n/10 New \T1/txtt/m/n/10 sampling_method \T1/qtm/m/n/10 param in []
[]\T1/txtt/m/sl/10 Model.train_datetime[][]\T1/qtm/m/n/10 , [][]\T1/txtt/m/sl/1
0 Project.train_datetime[][]\T1/qtm/m/n/10 , [][]\T1/txtt/m/sl/10 Model.

Underfull \hbox (badness 10000) in paragraph at lines 124880--124882
[]\T1/qtm/m/n/10 Class \T1/txtt/m/n/10 FeatureEngineeringGraph \T1/qtm/m/n/10 h
as been re-moved. Use [][]\T1/txtt/m/sl/10 datarobot.models.

Underfull \hbox (badness 10000) in paragraph at lines 124959--124963
[]\T1/qtm/m/n/10 Added sup-port for Cus-tom Model De-pen-dency Man-age-ment. Pl
ease see :ref:\T1/txtt/m/n/10 custom model
[1170]
Underfull \hbox (badness 10000) in paragraph at lines 125002--125005
[]\T1/qtm/m/n/10 Added a new method to trig-ger Fea-ture Im-pact cal-cu-la-tion
 for a Cus-tom In-fer-ence Im-age:
[1171]
Underfull \hbox (badness 10000) in paragraph at lines 125145--125154
[]\T1/qtm/m/n/10 Added new ar-gu-ments \T1/txtt/m/n/10 explanation_algorithm \T
1/qtm/m/n/10 and \T1/txtt/m/n/10 max_explanations \T1/qtm/m/n/10 to method [][]
\T1/txtt/m/sl/10 Model.

Underfull \hbox (badness 10000) in paragraph at lines 125156--125163
[]\T1/qtm/m/n/10 Added new ar-gu-ments \T1/txtt/m/n/10 explanation_algorithm \T
1/qtm/m/n/10 and \T1/txtt/m/n/10 max_explanations \T1/qtm/m/n/10 to method [][]
\T1/txtt/m/sl/10 Model.
[1172] [1173]
Underfull \hbox (badness 10000) in paragraph at lines 125347--125351
[]\T1/qtm/m/n/10 Batch Pre-dic-tion jobs now sup-port scor-ing to Azure and Goo
gle Cloud Stor-age with meth-ods

Underfull \hbox (badness 8132) in paragraph at lines 125385--125390
[]\T1/qtm/m/n/10 These meth-ods now pro-vide ad-di-tional meta-data fields in F
ea-ture Im-pact re-sults if called with

Underfull \hbox (badness 10000) in paragraph at lines 125405--125409
[]\T1/qtm/m/n/10 Sec-ondary dataset con-fig-u-ra-tion re-trieve and dele-tion i
s eas-ier now though new

Underfull \hbox (badness 10000) in paragraph at lines 125405--125409
[][]\T1/txtt/m/sl/10 SecondaryDatasetConfigurations.delete[][] \T1/qtm/m/n/10 s
oft deletes a Sec-ondary dataset con-fig-u-ra-tion.

Underfull \hbox (badness 10000) in paragraph at lines 125429--125431
[]\T1/qtm/m/n/10 Batch Pre-dic-tion jobs that used other out-put types than \T1
/txtt/m/n/10 local_file \T1/qtm/m/n/10 failed when us-ing \T1/txtt/m/n/10 .
[1174] [1175]
Underfull \hbox (badness 10000) in paragraph at lines 125673--125677
[]\T1/qtm/m/n/10 A new boolean at-tribute \T1/txtt/m/n/10 unsupervised_mode \T1
/qtm/m/n/10 was added to [][]\T1/txtt/m/sl/10 datarobot.
[1176]
Underfull \hbox (badness 10000) in paragraph at lines 125746--125748
[]\T1/qtm/m/n/10 Time se-ries model de-ploy-ments now sup-port pre-dic-tion in-
ter-vals. See

Underfull \hbox (badness 10000) in paragraph at lines 125746--125748
[][]\T1/txtt/m/sl/10 Deployment.get_prediction_intervals_settings[][] \T1/qtm/m
/n/10 and [][]\T1/txtt/m/sl/10 Deployment.

Overfull \hbox (7.70421pt too wide) in paragraph at lines 125779--125781
[]\T1/qtm/m/n/10 Re-gres-sion de-ploy-ments now sup-port :ref:\T1/txtt/m/n/10 p
rediction warnings<deployment_prediction_warning>\T1/qtm/m/n/10 . 

Underfull \hbox (badness 10000) in paragraph at lines 125799--125802
[]\T1/qtm/m/n/10 It's now pos-si-ble to get fea-ture as-so-ci-a-tion sta-tuses 
for fea-turelists us-ing [][]\T1/txtt/m/sl/10 Project.
[1177]
Underfull \hbox (badness 7925) in paragraph at lines 125836--125838
[]\T1/qtm/m/n/10 Method [][]\T1/txtt/m/sl/10 Project.set_target[][] \T1/qtm/m/n
/10 sup-port new op-tional pa-ram-e-ters \T1/txtt/m/n/10 featureEngineeringGrap
hs \T1/qtm/m/n/10 and

Underfull \hbox (badness 10000) in paragraph at lines 125844--125849
[]\T1/qtm/m/n/10 Se-ries ac-cu-racy re-trieval meth-ods ([][]\T1/txtt/m/sl/10 D
atetimeModel.get_series_accuracy_as_dataframe[][] \T1/qtm/m/n/10 and
[1178]
Underfull \hbox (badness 10000) in paragraph at lines 125935--125937
[]\T1/qtm/m/n/10 Mono-tonic con-straints are now sup-ported for OTV projects. T
o that end, the pa-ram-e-ters

Underfull \hbox (badness 10000) in paragraph at lines 125935--125937
\T1/txtt/m/n/10 monotonic_increasing_featurelist_id \T1/qtm/m/n/10 and \T1/txtt
/m/n/10 monotonic_decreasing_featurelist_id \T1/qtm/m/n/10 can be
[1179]
Underfull \hbox (badness 7451) in paragraph at lines 126024--126027
[]\T1/qtm/m/n/10 When [][]\T1/txtt/m/sl/10 specifying datetime partitioning[][]
 \T1/qtm/m/n/10 set-tings , :ref:\T1/txtt/m/n/10 time series <time_series> \T1/
qtm/m/n/10 projects

Underfull \hbox (badness 10000) in paragraph at lines 126024--126027
\T1/txtt/m/sl/10 do_not_derive[][] \T1/qtm/m/n/10 at-tribute. Any fea-tures not
 spec-i-fied will be as-signed ac-cord-ing to the
[1180] [1181]
Underfull \hbox (badness 10000) in paragraph at lines 126231--126240
[]\T1/qtm/m/n/10 Pre-vi-ously avail-able for only Eu-reqa mod-els, Ad-vanced Tu
n-ing meth-ods and ob-jects, in-clud-ing

Underfull \hbox (badness 10000) in paragraph at lines 126231--126240
[][]\T1/txtt/m/sl/10 Model.start_advanced_tuning_session[][]\T1/qtm/m/n/10 , []
[]\T1/txtt/m/sl/10 Model.get_advanced_tuning_parameters[][]\T1/qtm/m/n/10 , [][
]\T1/txtt/m/sl/10 Model.

Underfull \hbox (badness 10000) in paragraph at lines 126270--126272
[][][]\T1/txtt/m/sl/10 Project.upload_dataset[][] \T1/qtm/m/n/10 and [][]\T1/tx
tt/m/sl/10 Project.upload_dataset_from_data_source[][] \T1/qtm/m/n/10 will re-t
urn a
[1182]
Underfull \hbox (badness 10000) in paragraph at lines 126392--126395
[]\T1/qtm/m/n/10 New class for work-ing with model com-pli-ance doc-u-men-ta-ti
on fea-ture of DataRobot: class

Underfull \hbox (badness 10000) in paragraph at lines 126411--126416
[]\T1/qtm/m/n/10 Cross se-ries fea-tures can now be cre-ated within time se-rie
s mul-ti-series projects us-ing

Underfull \hbox (badness 10000) in paragraph at lines 126411--126416
\T1/qtm/m/n/10 the \T1/txtt/m/n/10 use_cross_series_features \T1/qtm/m/n/10 and
 \T1/txtt/m/n/10 aggregation_type \T1/qtm/m/n/10 at-tributes of the [][]\T1/txt
t/m/sl/10 datarobot.
[1183]
Underfull \hbox (badness 10000) in paragraph at lines 126442--126446
[]\T1/qtm/m/n/10 New \T1/txtt/m/n/10 number_of_known_in_advance_features \T1/qt
m/m/n/10 at-tribute has been added to the [][]\T1/txtt/m/sl/10 datarobot.

Underfull \hbox (badness 10000) in paragraph at lines 126535--126543
[]\T1/qtm/m/n/10 New meth-ods and ob-jects, in-clud-ing [][]\T1/txtt/m/sl/10 Mo
del.start_advanced_tuning_session[][]\T1/qtm/m/n/10 , [][]\T1/txtt/m/sl/10 Mode
l.

Underfull \hbox (badness 7504) in paragraph at lines 126535--126543
\T1/txtt/m/sl/10 get_advanced_tuning_parameters[][]\T1/qtm/m/n/10 , [][]\T1/txt
t/m/sl/10 Model.advanced_tune[][]\T1/qtm/m/n/10 , and [][]\T1/txtt/m/sl/10 Adva
ncedTuningSession[][]\T1/qtm/m/n/10 , were
[1184]
Underfull \hbox (badness 10000) in paragraph at lines 126558--126561
[]\T1/qtm/m/n/10 A cus-tom pre-dic-tion thresh-old may now be con-fig-ured for 
each model via [][]\T1/txtt/m/sl/10 Model.

Underfull \hbox (badness 10000) in paragraph at lines 126568--126570
[]\T1/qtm/m/n/10 In-di-vid-ual cross val-i-da-tion scores can be re-trieved for
 new mod-els us-ing [][]\T1/txtt/m/sl/10 Model.

Underfull \hbox (badness 10000) in paragraph at lines 126610--126614
[][][]\T1/txtt/m/sl/10 ModelRecommendation.get[][] \T1/qtm/m/n/10 now ac-cepts 
an op-tional pa-ram-e-ter of type \T1/txtt/m/n/10 datarobot.enums.
[1185]
Underfull \hbox (badness 10000) in paragraph at lines 126727--126731
[]\T1/qtm/m/n/10 Added a new fea-ture to re-trieve fea-ture logs for time se-ri
es projects. Check [][]\T1/txtt/m/sl/10 datarobot.

Underfull \hbox (badness 10000) in paragraph at lines 126727--126731
\T1/txtt/m/sl/10 DatetimePartitioning.feature_log_list()[][] \T1/qtm/m/n/10 and
 [][]\T1/txtt/m/sl/10 datarobot.DatetimePartitioning.

Underfull \hbox (badness 10000) in paragraph at lines 126747--126751
[]\T1/qtm/m/n/10 New pa-ram-e-ters \T1/txtt/m/n/10 predictions_start_date \T1/q
tm/m/n/10 and \T1/txtt/m/n/10 predictions_end_date \T1/qtm/m/n/10 added to [][]
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Chapter 1.

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[][][]\T1/qtm/m/it/10 Ad-min-is-tra-
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Chapter 2.
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[][][]\T1/txtt/m/sl/10 Dataset.create_from_url[][] \T1/qtm/m/n/10 takes CSV dat
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[][][]\T1/txtt/m/sl/10 Dataset.create_from_data_source[][] \T1/qtm/m/n/10 takes
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Chapter 3.
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[]\T1/qtm/m/n/10 For mul-ti-class mod-els, you can get a list of per-class lift
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\T1/qtm/m/n/10 Just as with the lift and ROC charts, you can use \T1/txtt/m/n/1
0 Model \T1/qtm/m/n/10 meth-ods \T1/txtt/m/n/10 get_residuals_chart \T1/qtm/m/n
/10 and
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[]\T1/txtt/m/n/10 PredictionExplanations.get_all_as_dataframe() \T1/qtm/m/n/10 
and \T1/txtt/m/n/10 PredictionExplanations.
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[]\T1/qtm/m/n/10 gap_duration (str): A du-ra-tion string such as those re-turne
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\T1/qtm/m/n/10 and \T1/txtt/m/n/10 validation_start_date\T1/qtm/m/n/10 . Us-ing
 the same date for both \T1/txtt/m/n/10 primary_training_end_date \T1/qtm/m/n/1
0 and

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\T1/qtm/m/n/10 For date-time par-ti-tioned model you can re-trieve the Ac-cu-ra
cy over Time plot. To do so use

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[][]\T1/txtt/m/sl/10 DatetimeModel.get_accuracy_over_time_plot[][]\T1/qtm/m/n/1
0 . You can also re-trieve the de-tailed meta-data us-ing
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[][][]\T1/txtt/m/sl/10 datarobot.FeatureSettings[][] \T1/qtm/m/n/10 con-struc-t
or re-ceives \T1/txtt/m/n/10 feature_name \T1/qtm/m/n/10 and set-tings. For now
 set-tings
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[]\T1/qtm/m/n/10 Enough rows of his-tor-i-cal data must be pro-vided to cover t
he span of the ef-fec-tive Fea-ture Deriva-
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[]\T1/qtm/m/n/10 Pre-dic-tion in-ter-vals can be cal-cu-lated for a [][]\T1/txt
t/m/sl/10 DatetimeModel[][] \T1/qtm/m/n/10 us-ing the [][]\T1/txtt/m/sl/10 Date
timeModel.
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[]\T1/qtm/m/n/10 1. Up-load a pre-dic-tion dataset, spec-i-fy-ing \T1/txtt/m/n/
10 predictions_start_date\T1/qtm/m/n/10 , \T1/txtt/m/n/10 predictions_end_date\
T1/qtm/m/n/10 , and
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[]\T1/qtm/m/n/10 Up-load a pre-dic-tion dataset that con-tains la-bel col-umn(s
), re-quest com-pute ex-ter-nal test on one of
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l.6678     ├── american\PYGZus{}bulldog
                                             

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l.6679 ...├── american\PYGZus{}bulldog01.jpg
                                                  

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[96] [97 <./sample1.png>] [98 <./sample2.png>] [99 <./activation_map1.png> <./a
ctivation_map2.png>] [100] [101 <./embeddings.png>] [102] [103] [104] [105]
[106] [107] [108]
Chapter 4.
[109] [110] [111] [112] [113] [114] [115] [116] [117] [118] [119] [120]
[121] [122]
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\T1/txtt/m/n/10 timeseries_settings \T1/qtm/m/n/10 con-fig-ures time se-ries sc
or-ing for [][]\T1/txtt/m/sl/10 BatchPredictionJob.score[][] \T1/qtm/m/n/10 and


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[]\T1/txtt/m/n/10 num_concurrent| 

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[]\T1/qtm/m/n/10 Set to \T1/txtt/m/n/10 all \T1/qtm/m/n/10 to pass through ev-e
ry scor-ing col-umn. Takes prece-dence over

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[]\T1/txtt/m/n/10 upload_read_timeout| 
[123] [124] [125] [126] [127]
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[]\T1/qtm/m/n/10 In or-der to sched-ule the ex-e-cu-tion of a batch pre-dic-tio
n job, a def-i-ni-tion must first be cre-ated us-

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[]\T1/qtm/m/n/10 Al-ter-na-tively, use a short-hand ver-sion with [][]\T1/txtt/
m/sl/10 datarobot.models.BatchPredictionJobDefinition.
[128]
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[]|\T1/qtm/m/n/10 The hour(s)

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\T1/qtm/m/n/10 of the day

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\T1/qtm/m/n/10 tions or the

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[129]
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[130]
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\T1/qtm/m/n/10 Job def-i-ni-tions are only be ex-e-cuted by the sched-uler if \
T1/txtt/m/n/10 enabled \T1/qtm/m/n/10 is set to \T1/txtt/m/n/10 True\T1/qtm/m/n
/10 . If you have a

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\T1/qtm/m/n/10 job def-i-ni-tion that was pre-vi-ously run-ning as a sched-uled
 job, but should now be stopped, sim-ply
[131] [132]
Chapter 5.
[133] [134] [135] [136] [137] [138] [139] [140] [141] [142] [143] [144]
[145] [146] [147]
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\T1/qtm/m/n/10 of [][]\T1/txtt/m/sl/10 datarobot.models.deployment.DeploymentGr
antSharedRoleWithId[][] \T1/qtm/m/n/10 and [][]\T1/txtt/m/sl/10 datarobot.model
s.
[148] [149]
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[]\T1/qtm/m/n/10 For deployment-specific met-rics, do not pro-vide model in-for
-ma-tion. For model spe-cific met-rics set
[159] [160]
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\T1/qtm/m/n/10 To re-port ag-gre-gated cus-tom met-rics val-ues from a dataset 
in the Data Reg-istry, use the
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[]\T1/qtm/m/n/10 Re-fer to [][]\T1/txtt/m/sl/10 ExecutionEnvironment[][] \T1/qt
m/m/n/10 for prop-er-ties of the ex-e-cu-tion en-vi-ron-ment ob-ject and
[171] [172] [173] [174] [175] [176] [177] [178] [179] [180] [181] [182]
[183] [184] [185] [186] [187] [188]
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\T1/qtm/m/n/10 To cre-ate a hosted cus-tom met-ric job from a gallery tem-plate
, use \T1/txtt/m/n/10 dr.registry.Job.
[189] [190] [191] [192]
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[]\T1/qtm/m/n/10 You can also fil-ter the reg-is-tered model ver-sions that are
 re-turned by pass-ing an in-stance of the
[193] [194] [195] [196] [197] [198] [199] [200]
Chapter 6.
[201] [202] [203] [204] [205] [206] [207] [208] [209] [210]
Chapter 7.
[211] [212] [213] [214]
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[]\T1/qtm/m/n/10 Use Cases sup-port \T1/txtt/m/n/10 SHARING_ROLE.OWNER\T1/qtm/m
/n/10 , \T1/txtt/m/n/10 SHARING_ROLE.EDITOR\T1/qtm/m/n/10 , \T1/txtt/m/n/10 SHA
RING_ROLE.CONSUMER \T1/qtm/m/n/10 and
[215] [216]
Chapter 8.
[217] [218] [219] [220]
Chapter 9.
[221] [222]
Chapter 10.

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[]\T1/txtt/bx/n/10 file_secret_settings \T1/qtm/m/n/10 (\T1/txtt/m/n/10 Pydanti
cBaseSettingsSource\T1/qtm/m/n/10 ) ^^U The \T1/qtm/m/it/10 Se-crets-Set-
[223] [224]
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[]\T1/txtt/bx/n/10 datarobot_endpoint \T1/qtm/m/n/10 (\T1/txtt/m/n/10 str \T1/q
tm/m/n/10 or \T1/txtt/m/n/10 None\T1/qtm/m/n/10 ) ^^U DataRobot API end-point. 
De-faults to

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[]\T1/txtt/bx/n/10 llm_default_model \T1/qtm/m/n/10 (\T1/txtt/m/n/10 str \T1/qt
m/m/n/10 or \T1/txtt/m/n/10 None\T1/qtm/m/n/10 ) ^^U Model name to re-quest. De
-faults to
[225] [226]
Chapter 11.
[227] [228] [229] [230]
Chapter 12.
[231] [232]
Chapter 13.
[233] [234] [235] [236] [237] [238] [239] [240] [241] [242] [243] [244]
Chapter 14.
[245] [246] [247] [248]
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[]\T1/txtt/bx/n/10 source_url \T1/qtm/m/n/10 (\T1/txtt/m/n/10 str\T1/qtm/m/n/10
 ) ^^U The URL for the pre-dic-tion dataset (e.g.:

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[]\T1/txtt/bx/n/10 destination_url \T1/qtm/m/n/10 (\T1/txtt/m/n/10 str\T1/qtm/m
/n/10 ) ^^U The URL for the scored dataset (e.g.:

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[]\T1/txtt/bx/n/10 source_url \T1/qtm/m/n/10 (\T1/txtt/m/n/10 str\T1/qtm/m/n/10
 ) ^^U The URL for the pre-dic-tion dataset (e.g.:

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[]\T1/txtt/bx/n/10 destination_url \T1/qtm/m/n/10 (\T1/txtt/m/n/10 str\T1/qtm/m
/n/10 ) ^^U The URL for the scored dataset (e.g.:
[249] [250] [251] [252] [253] [254] [255] [256] [257] [258]
Underfull \hbox (badness 10000) in paragraph at lines 18688--18690
\T1/txtt/bx/n/10 ValueError: \T1/qtm/m/n/10 ^^U If the generic Job was not a pr
e-dict job, e.g., job_type !=
[259] [260] [261] [262] [263] [264]
Chapter 15.

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\T1/qtm/m/it/10 tinue_on_error=False\T1/qtm/m/n/10 , 

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\T1/qtm/m/it/10 tinue_on_error=False\T1/qtm/m/n/10 , 
[265]
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\T1/qtm/m/it/10 tinue_on_error=False\T1/qtm/m/n/10 , 
[266] [267] [268]
Chapter 16.
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[]\T1/txtt/bx/n/10 hex_column_name_lookup \T1/qtm/m/n/10 (\T1/txtt/m/n/10 list[
UserBlueprintsHexColumnNameLookupEntry]\T1/qtm/m/n/10 ,

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[]\T1/txtt/bx/n/10 supported_target_types \T1/qtm/m/n/10 (\T1/txtt/m/n/10 list[
enum(\TS1/txtt/m/n/10 ``\T1/qtm/m/n/10 'binary'\T1/txtt/m/n/10 , \TS1/txtt/m/n/
10 ``'\T1/txtt/m/n/10 multiclass\TS1/txtt/m/n/10 '\T1/qtm/m/n/10 ,
[272] [273] [274] [275]
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[]\T1/txtt/bx/n/10 task_parameters \T1/qtm/m/n/10 (\T1/txtt/m/n/10 list(UserBlu
eprintTaskParameterValidationRequestParamItem)\T1/qtm/m/n/10 )
[276]
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[]\T1/txtt/bx/n/10 share_recipient_type \T1/qtm/m/n/10 (\T1/txtt/m/n/10 enum(\T
S1/txtt/m/n/10 ``\T1/qtm/m/n/10 'user'\T1/txtt/m/n/10 , \TS1/txtt/m/n/10 ``'\T1
/txtt/m/n/10 group\TS1/txtt/m/n/10 '\T1/qtm/m/n/10 , \TS1/txtt/m/n/10 '\T1/txtt
/m/n/10 organization\TS1/txtt/m/n/10 '\T1/txtt/m/n/10 )\T1/qtm/m/n/10 ,
[277]
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[]\T1/txtt/bx/n/10 roles \T1/qtm/m/n/10 (\T1/txtt/m/n/10 list(or(GrantAccessCon
trolWithUsernameValidator\T1/qtm/m/n/10 ,
[278]
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[]\T1/txtt/bx/n/10 added_to_menu \T1/qtm/m/n/10 (\T1/txtt/m/n/10 list(UserBluep
rintAddedToMenuItem)\T1/qtm/m/n/10 ) ^^U A list of

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[]\T1/txtt/bx/n/10 not_added_to_menu \T1/qtm/m/n/10 (\T1/txtt/m/n/10 list(UserB
lueprintNotAddedToMenuItem)\T1/qtm/m/n/10 ) ^^U A list of
[279]
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[]\T1/txtt/bx/n/10 task_parameters \T1/qtm/m/n/10 (\T1/txtt/m/n/10 list(UserBlu
eprintTaskParameterValidationRequestParamItem)\T1/qtm/m/n/10 )
[280]
Underfull \hbox (badness 5711) in paragraph at lines 21233--21235
[]\T1/txtt/bx/n/10 description \T1/qtm/m/n/10 (\T1/txtt/m/n/10 Optional[str] (D
efault=None)\T1/qtm/m/n/10 ) ^^U The de-scrip-tion of the user
[281] [282] [283]
Underfull \hbox (badness 10000) in paragraph at lines 21637--21642
[]\T1/txtt/bx/n/10 calibrate_predictions \T1/qtm/m/n/10 (\T1/txtt/m/n/10 Option
al[bool]\T1/qtm/m/n/10 ) ^^U Whether anomaly pre-dic-
[284] [285] [286] [287] [288] [289] [290] [291] [292] [293] [294] [295]
[296] [297] [298]
Chapter 17.
[299] [300] [301] [302]
Chapter 18.
[303]
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[304]
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[305] [306]
Underfull \hbox (badness 10000) in paragraph at lines 24365--24367
[]\T1/txtt/m/n/10 List \T1/qtm/m/n/10 of \T1/txtt/m/n/10 AutomatedDocument obje
cts\T1/qtm/m/n/10 , \T1/txtt/m/n/10 where each object contains

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[307] [308] [309] [310] [311] [312]
Chapter 19.
[313] [314] [315] [316] [317] [318] [319] [320]
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[]\T1/txtt/bx/n/10 kwargs \T1/qtm/m/n/10 (\T1/txtt/m/n/10 Keyword arguments spe
cific \T1/qtm/m/n/10 to \T1/txtt/m/n/10 the given credential_type that
[321] [322]
Chapter 20.
[323] [324] [325]
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[]\T1/txtt/bx/n/10 time_step \T1/qtm/m/n/10 (\T1/txtt/m/n/10 Optional[CustomMet
ricBucketTimeStep]\T1/qtm/m/n/10 ) ^^U Cus-tom met-ric time
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[330] [331] [332] [333] [334] [335] [336] [337]
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[]\T1/txtt/bx/n/10 metric_type \T1/qtm/m/n/10 (\T1/txtt/m/n/10 Optional[HostedC
ustomMetricsTemplateMetricTypeQueryParams]\T1/qtm/m/n/10 )
[338]
Underfull \hbox (badness 10000) in paragraph at lines 27517--27523
\T1/qtm/m/n/10 Cre-ate a hosted cus-tom met-ric from a tem-plate. A short-cut f
or 2 calls:
[339] [340] [341] [342] [343] [344]
Chapter 21.
[345] [346] [347] [348]
Chapter 22.

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\T1/qtm/m/it/10 datarobot.TARGET_TYPE.MULTICLASS\T1/qtm/m/n/10 , \T1/qtm/m/it/1
0 datarobot.TARGET_TYPE.UNSTRUCTURED\T1/qtm/m/n/10 ,
[349]
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[]\T1/txtt/bx/n/10 network_egress_policy \T1/qtm/m/n/10 (\T1/txtt/m/n/10 dataro
bot.NETWORK_EGRESS_POLICY\T1/qtm/m/n/10 , \T1/qtm/m/it/10 op-tional\T1/qtm/m/n/
10 )

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\T1/qtm/m/n/10 ^^U De-ter-mines whether the given cus-tom model is iso-lated, o
r can ac-cess the

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\T1/qtm/m/n/10 pub-lic net-work. Val-ues: [\T1/qtm/m/it/10 datarobot.NETWORK_EG
RESS_POLICY.NONE\T1/qtm/m/n/10 ,

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[]\T1/txtt/bx/n/10 is_training_data_for_versions_permanently_enabled \T1/qtm/m/
n/10 (\T1/txtt/m/n/10 Optional[bool]\T1/qtm/m/n/10 ) ^^U
[350]
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[]\T1/txtt/bx/n/10 target_type \T1/qtm/m/n/10 (\T1/txtt/m/n/10 datarobot.TARGET
_TYPE\T1/qtm/m/n/10 ) ^^U Tar-get type of the cus-

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\T1/qtm/m/n/10 tom in-fer-ence model. Val-ues: [\T1/qtm/m/it/10 datarobot.TARGE
T_TYPE.BINARY\T1/qtm/m/n/10 ,

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\T1/qtm/m/it/10 datarobot.TARGET_TYPE.REGRESSION\T1/qtm/m/n/10 , \T1/qtm/m/it/1
0 datarobot.TARGET_TYPE.MULTICLASS\T1/qtm/m/n/10 ,

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\T1/qtm/m/it/10 datarobot.TARGET_TYPE.UNSTRUCTURED\T1/qtm/m/n/10 , \T1/qtm/m/it
/10 datarobot.TARGET_TYPE.TEXT_GENERATION\T1/qtm/m/n/10 ]. 
[351]
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[]\T1/txtt/bx/n/10 network_egress_policy \T1/qtm/m/n/10 (\T1/txtt/m/n/10 dataro
bot.NETWORK_EGRESS_POLICY\T1/qtm/m/n/10 , \T1/qtm/m/it/10 op-tional\T1/qtm/m/n/
10 )

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\T1/qtm/m/n/10 ^^U De-ter-mines whether the given cus-tom model is iso-lated, o
r can ac-cess the

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\T1/qtm/m/n/10 pub-lic net-work. Val-ues: [\T1/qtm/m/it/10 datarobot.NETWORK_EG
RESS_POLICY.NONE\T1/qtm/m/n/10 ,

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[]\T1/txtt/bx/n/10 is_training_data_for_versions_permanently_enabled \T1/qtm/m/
n/10 (\T1/txtt/m/n/10 Optional[bool]\T1/qtm/m/n/10 ) ^^U
[352]
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[]\T1/txtt/bx/n/10 is_training_data_for_versions_permanently_enabled \T1/qtm/m/
n/10 (\T1/txtt/m/n/10 Optional[bool]\T1/qtm/m/n/10 ) ^^U
[353] [354]
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[]\T1/txtt/bx/n/10 image_type \T1/qtm/m/n/10 (\T1/txtt/m/n/10 str\T1/qtm/m/n/10
 ) ^^U The im-age type, ei-ther CUS-

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\T1/qtm/m/n/10 TOM_MODEL_IMAGE_TYPE.CUSTOM_MODEL_IMAGE if the test-

Underfull \hbox (badness 10000) in paragraph at lines 29391--29396
\T1/qtm/m/n/10 ing at-tempt is us-ing a Cus-tom-Mod-e-lIm-age as its model or C
US-

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[]\T1/txtt/bx/n/10 network_egress_policy \T1/qtm/m/n/10 (\T1/txtt/m/n/10 dataro
bot.NETWORK_EGRESS_POLICY\T1/qtm/m/n/10 , \T1/qtm/m/it/10 op-tional\T1/qtm/m/n/
10 )

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\T1/qtm/m/n/10 ^^U De-ter-mines whether the given cus-tom model is iso-lated, o
r can ac-cess the

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\T1/qtm/m/n/10 pub-lic net-work. Val-ues: [\T1/qtm/m/it/10 datarobot.NETWORK_EG
RESS_POLICY.NONE\T1/qtm/m/n/10 ,
[355]
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[]\T1/txtt/bx/n/10 network_egress_policy \T1/qtm/m/n/10 (\T1/txtt/m/n/10 dataro
bot.NETWORK_EGRESS_POLICY\T1/qtm/m/n/10 , \T1/qtm/m/it/10 op-tional\T1/qtm/m/n/
10 )

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\T1/qtm/m/n/10 ^^U De-ter-mines whether the given cus-tom model is iso-lated, o
r can ac-cess the

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\T1/qtm/m/n/10 pub-lic net-work. Val-ues: [\T1/qtm/m/it/10 datarobot.NETWORK_EG
RESS_POLICY.NONE\T1/qtm/m/n/10 ,
[356] [357]
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[]\T1/txtt/bx/n/10 network_egress_policy \T1/qtm/m/n/10 (\T1/txtt/m/n/10 dataro
bot.NETWORK_EGRESS_POLICY\T1/qtm/m/n/10 , \T1/qtm/m/it/10 op-tional\T1/qtm/m/n/
10 )

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\T1/qtm/m/n/10 ^^U De-ter-mines whether the given cus-tom model is iso-lated, o
r can ac-cess the

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\T1/qtm/m/n/10 pub-lic net-work. Val-ues: [\T1/qtm/m/it/10 datarobot.NETWORK_EG
RESS_POLICY.NONE\T1/qtm/m/n/10 ,
[358]
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[]\T1/txtt/bx/n/10 base_environment_version_id \T1/qtm/m/n/10 (\T1/txtt/m/n/10 
str\T1/qtm/m/n/10 ) ^^U The base en-vi-ron-ment ver-sion ID

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\T1/qtm/m/n/10 to use with this model ver-sion. At least one of \T1/qtm/m/it/10
 base_environment_id \T1/qtm/m/n/10 and

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[]\T1/txtt/bx/n/10 network_egress_policy \T1/qtm/m/n/10 (\T1/txtt/m/n/10 dataro
bot.NETWORK_EGRESS_POLICY\T1/qtm/m/n/10 , \T1/qtm/m/it/10 op-tional\T1/qtm/m/n/
10 )

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\T1/qtm/m/n/10 ^^U De-ter-mines whether the given cus-tom model is iso-lated, o
r can ac-cess the

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\T1/qtm/m/n/10 pub-lic net-work. Val-ues: [\T1/qtm/m/it/10 datarobot.NETWORK_EG
RESS_POLICY.NONE\T1/qtm/m/n/10 ,
[359] [360]
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[]\T1/txtt/bx/n/10 base_environment_version_id \T1/qtm/m/n/10 (\T1/txtt/m/n/10 
str\T1/qtm/m/n/10 ) ^^U The base en-vi-ron-ment ver-sion ID

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\T1/qtm/m/n/10 to use with this model ver-sion. At least one of \T1/qtm/m/it/10
 base_environment_id \T1/qtm/m/n/10 and
[361]
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[]\T1/txtt/bx/n/10 network_egress_policy \T1/qtm/m/n/10 (\T1/txtt/m/n/10 dataro
bot.NETWORK_EGRESS_POLICY\T1/qtm/m/n/10 , \T1/qtm/m/it/10 op-tional\T1/qtm/m/n/
10 )

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\T1/qtm/m/n/10 ^^U De-ter-mines whether the given cus-tom model is iso-lated, o
r can ac-cess the

Underfull \hbox (badness 10000) in paragraph at lines 30155--30158
\T1/qtm/m/n/10 pub-lic net-work. Val-ues: [\T1/qtm/m/it/10 datarobot.NETWORK_EG
RESS_POLICY.NONE\T1/qtm/m/n/10 ,
[362] [363] [364] [365] [366] [367] [368] [369] [370] [371]
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[]\T1/qtm/m/n/10 Trans-fer ac-cess to the ex-e-cu-tion en-vi-ron-ment from [][]
old_user@datarobot.com[][] to
[372] [373]
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[]\T1/txtt/bx/n/10 build_status \T1/qtm/m/n/10 (\T1/txtt/m/n/10 Optional[str]\T
1/qtm/m/n/10 ) ^^U The build sta-tus of

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\T1/qtm/m/n/10 the ex-e-cu-tion en-vi-ron-ment ver-sion to fil-ter by. See

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\T1/qtm/m/n/10 datarobot.enums.EXECUTION_ENVIRONMENT_VERSION_BUILD_STATUS
[374] [375] [376] [377] [378]
Chapter 23.
[379] [380] [381] [382]
Chapter 24.
[383] [384] [385] [386] [387] [388]
Chapter 25.
[389] [390] [391] [392] [393]
Underfull \hbox (badness 10000) in paragraph at lines 33902--33904
[]\T1/txtt/bx/n/10 jdbc_url \T1/qtm/m/n/10 (\T1/txtt/m/n/10 str\T1/qtm/m/n/10 )
 ^^U Op-tional. The full JDBC URL (for ex-am-ple:

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[]\T1/txtt/bx/n/10 connector_id \T1/qtm/m/n/10 (\T1/txtt/m/n/10 str\T1/qtm/m/n/
10 ) ^^U Op-tional. The iden-ti-fier of the Con-nec-tor when
[394]
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[]\T1/txtt/bx/n/10 jdbc_url \T1/qtm/m/n/10 (\T1/txtt/m/n/10 str\T1/qtm/m/n/10 )
 ^^U Op-tional. The full JDBC URL (for ex-am-ple:
[395] [396] [397] [398] [399] [400] [401] [402] [403] [404] [405] [406]
[407]
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[408] [409] [410] [411] [412] [413] [414] [415] [416]
Chapter 26.
[417] [418] [419] [420] [421] [422]
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[] \T1/txtt/m/n/10 code[]block:\T1/qtm/m/n/10 : \T1/txtt/m/n/10 python \T1/qtm/
m/n/10 ^^U from datarobot.models.deployment

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\T1/qtm/m/n/10 im-port Train-ing-Data-Ex-port dataset_id = Train-ing-Data-Ex-
[423] [424]
Chapter 27.
[425] [426] [427] [428] [429] [430] [431] [432] [433] [434]
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[435] [436] [437] [438] [439] [440] [441] [442] [443] [444] [445] [446]
[447] [448] [449] [450]
Chapter 28.
[451]
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[]\T1/txtt/bx/n/10 materialization_destination \T1/qtm/m/n/10 (\T1/txtt/m/n/10 
Optional\T1/qtm/m/n/10 [\T1/txtt/m/n/10 MaterializationDestination\T1/qtm/m/n/1
0 ]) ^^U
[456]
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[469] [470] [471] [472]
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[]\T1/txtt/bx/n/10 methods \T1/qtm/m/n/10 (\T1/txtt/m/n/10 List\T1/qtm/m/n/10 [
[][]\T1/txtt/m/sl/10 CategoricalStatsMethods[][]\T1/qtm/m/n/10 ]) ^^U List of m
eth-

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\T1/qtm/m/n/10 ods to ap-ply for rolling statis-tics. Cur-rently only sup-ports

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Chapter 29.

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\T1/qtm/m/n/10 See \T1/txtt/m/n/10 training_row_count\T1/qtm/m/n/10 , \T1/txtt/
m/n/10 training_duration\T1/qtm/m/n/10 , and \T1/txtt/m/n/10 training_start_dat
e \T1/qtm/m/n/10 /
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\T1/txtt/m/n/10 data_slice_filter.id\T1/qtm/m/n/10 . If \T1/txtt/m/n/10 None \T
1/qtm/m/n/10 (the de-fault), ap-plies no fil-ter based on
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\T1/txtt/m/n/10 data_slice_filter.id\T1/qtm/m/n/10 . If \T1/txtt/m/n/10 None \T
1/qtm/m/n/10 (the de-fault), ap-plies no fil-ter based on

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[]\T1/txtt/bx/n/10 source \T1/qtm/m/n/10 (\T1/txtt/m/n/10 str\T1/qtm/m/n/10 ) ^
^U Con-fu-sion chart source. Check
[493]
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[]\T1/txtt/bx/n/10 fairness_metrics_set \T1/qtm/m/n/10 (\T1/txtt/m/n/10 Optiona
l[str]\T1/qtm/m/n/10 ) ^^U Can be one of
[494] [495]
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[]\T1/qtm/m/n/10 Each list item is a dict with the keys \T1/txtt/m/n/10 feature
Name\T1/qtm/m/n/10 , \T1/txtt/m/n/10 impactNormalized\T1/qtm/m/n/10 ,

Underfull \hbox (badness 10000) in paragraph at lines 44527--44530
\T1/qtm/m/n/10 the keys: \T1/txtt/m/n/10 featureName\T1/qtm/m/n/10 , \T1/txtt/m
/n/10 impactNormalized\T1/qtm/m/n/10 , \T1/txtt/m/n/10 impactUnnormalized\T1/qt
m/m/n/10 , and
[496]
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[]\T1/txtt/bx/n/10 source \T1/qtm/m/n/10 (\T1/txtt/m/n/10 str\T1/qtm/m/n/10 ) ^
^U ROC curve data source. Check
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[]\T1/txtt/bx/n/10 source \T1/qtm/m/n/10 (\T1/txtt/m/n/10 str\T1/qtm/m/n/10 ) ^
^U Resid-u-als chart data source. Check

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[]\T1/txtt/bx/n/10 source \T1/qtm/m/n/10 (\T1/txtt/m/n/10 str\T1/qtm/m/n/10 ) ^
^U ROC curve data source. Check
[502] [503]
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\T1/txtt/m/n/10 <training_duration>[]<time_window_sample_percent>[]<sampling_me
thod>
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\T1/txtt/bx/n/10 fairness_metrics_set \T1/qtm/m/n/10 (\T1/txtt/m/n/10 Optional[
str]\T1/qtm/m/n/10 ) ^^U Can be one of
[506]
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[]\T1/qtm/m/n/10 All du-ra-tions should be spec-i-fied with a du-ra-tion string
 such as those re-turned by the

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[][]\T1/txtt/m/sl/10 partitioning_methods.construct_duration_string[][] \T1/qtm
/m/n/10 helper method. Please see [][]\T1/qtm/m/it/10 date-time
[507] [508] [509]
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[]\T1/txtt/bx/n/10 source \T1/qtm/m/n/10 (\T1/txtt/m/n/10 str\T1/qtm/m/n/10 ) ^
^U Resid-u-als chart data source. Check
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[]\T1/txtt/bx/n/10 source \T1/qtm/m/n/10 (\T1/txtt/m/n/10 str\T1/qtm/m/n/10 ) ^
^U Roc Curve data source. Check
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[]\T1/txtt/bx/n/10 scoring_type \T1/qtm/m/n/10 (\T1/txtt/m/n/10 Optional[str]\T
1/qtm/m/n/10 ) ^^U Ei-ther \T1/txtt/m/n/10 validation \T1/qtm/m/n/10 or \T1/txt
t/m/n/10 crossValidation
[513]
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[]\T1/qtm/m/n/10 All du-ra-tions should be spec-i-fied with a du-ra-tion string
 such as those re-turned by the

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[][]\T1/txtt/m/sl/10 partitioning_methods.construct_duration_string[][] \T1/qtm
/m/n/10 helper method. Please see [][]\T1/qtm/m/it/10 date-time

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\T1/qtm/m/n/10 be used to train the model. If spec-i-fied, nei-ther \T1/txtt/m/
n/10 training_duration \T1/qtm/m/n/10 nor
[514] [515] [516] [517] [518] [519] [520] [521]
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\T1/txtt/m/n/10 data_slice_filter.id\T1/qtm/m/n/10 . If \T1/txtt/m/n/10 None \T
1/qtm/m/n/10 (the de-fault), ap-plies no fil-ter based on
[522]
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\T1/txtt/m/n/10 data_slice_filter.id\T1/qtm/m/n/10 . If \T1/txtt/m/n/10 None \T
1/qtm/m/n/10 (the de-fault), ap-plies no fil-ter based on
[523]
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[]\T1/txtt/bx/n/10 source \T1/qtm/m/n/10 (\T1/txtt/m/n/10 str\T1/qtm/m/n/10 ) ^
^U Con-fu-sion chart source. Check
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[]\T1/txtt/bx/n/10 fairness_metrics_set \T1/qtm/m/n/10 (\T1/txtt/m/n/10 Optiona
l[str]\T1/qtm/m/n/10 ) ^^U Can be one of
[525] [526]
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[]\T1/qtm/m/n/10 Each list item is a dict with the keys \T1/txtt/m/n/10 feature
Name\T1/qtm/m/n/10 , \T1/txtt/m/n/10 impactNormalized\T1/qtm/m/n/10 ,

Underfull \hbox (badness 10000) in paragraph at lines 48166--48169
\T1/qtm/m/n/10 the keys: \T1/txtt/m/n/10 featureName\T1/qtm/m/n/10 , \T1/txtt/m
/n/10 impactNormalized\T1/qtm/m/n/10 , \T1/txtt/m/n/10 impactUnnormalized\T1/qt
m/m/n/10 , and
[527]
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[]\T1/txtt/bx/n/10 source \T1/qtm/m/n/10 (\T1/txtt/m/n/10 str\T1/qtm/m/n/10 ) ^
^U ROC curve data source. Check
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[]\T1/txtt/bx/n/10 source \T1/qtm/m/n/10 (\T1/txtt/m/n/10 str\T1/qtm/m/n/10 ) ^
^U Resid-u-als chart data source. Check
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[]\T1/txtt/bx/n/10 source \T1/qtm/m/n/10 (\T1/txtt/m/n/10 str\T1/qtm/m/n/10 ) ^
^U ROC curve data source. Check
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\T1/txtt/m/n/10 <training_duration>[]<time_window_sample_percent>[]<sampling_me
thod>
[535]
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\T1/txtt/bx/n/10 fairness_metrics_set \T1/qtm/m/n/10 (\T1/txtt/m/n/10 Optional[
str]\T1/qtm/m/n/10 ) ^^U Can be one of
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[]\T1/txtt/bx/n/10 source \T1/qtm/m/n/10 (\T1/txtt/m/n/10 str\T1/qtm/m/n/10 ) ^
^U Resid-u-als chart data source. Check
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[]\T1/txtt/bx/n/10 source \T1/qtm/m/n/10 (\T1/txtt/m/n/10 str\T1/qtm/m/n/10 ) ^
^U Roc Curve data source. Check
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[548]
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\T1/txtt/m/n/10 data_slice_filter.id\T1/qtm/m/n/10 . If \T1/txtt/m/n/10 None \T
1/qtm/m/n/10 (the de-fault), ap-plies no fil-ter based on
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\T1/txtt/m/n/10 data_slice_filter.id\T1/qtm/m/n/10 . If \T1/txtt/m/n/10 None \T
1/qtm/m/n/10 (the de-fault), ap-plies no fil-ter based on
[550]
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[]\T1/txtt/bx/n/10 source \T1/qtm/m/n/10 (\T1/txtt/m/n/10 str\T1/qtm/m/n/10 ) ^
^U Con-fu-sion chart source. Check
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[]\T1/txtt/bx/n/10 fairness_metrics_set \T1/qtm/m/n/10 (\T1/txtt/m/n/10 Optiona
l[str]\T1/qtm/m/n/10 ) ^^U Can be one of
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[]\T1/qtm/m/n/10 Each list item is a dict with the keys \T1/txtt/m/n/10 feature
Name\T1/qtm/m/n/10 , \T1/txtt/m/n/10 impactNormalized\T1/qtm/m/n/10 ,

Underfull \hbox (badness 10000) in paragraph at lines 51516--51519
\T1/qtm/m/n/10 the keys: \T1/txtt/m/n/10 featureName\T1/qtm/m/n/10 , \T1/txtt/m
/n/10 impactNormalized\T1/qtm/m/n/10 , \T1/txtt/m/n/10 impactUnnormalized\T1/qt
m/m/n/10 , and
[554]
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[]\T1/txtt/bx/n/10 source \T1/qtm/m/n/10 (\T1/txtt/m/n/10 str\T1/qtm/m/n/10 ) ^
^U ROC curve data source. Check
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[]\T1/txtt/bx/n/10 source \T1/qtm/m/n/10 (\T1/txtt/m/n/10 str\T1/qtm/m/n/10 ) ^
^U Resid-u-als chart data source. Check
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[]\T1/txtt/bx/n/10 source \T1/qtm/m/n/10 (\T1/txtt/m/n/10 str\T1/qtm/m/n/10 ) ^
^U ROC curve data source. Check
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\T1/txtt/m/n/10 <training_duration>[]<time_window_sample_percent>[]<sampling_me
thod>
[562] [563]
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\T1/txtt/bx/n/10 fairness_metrics_set \T1/qtm/m/n/10 (\T1/txtt/m/n/10 Optional[
str]\T1/qtm/m/n/10 ) ^^U Can be one of
[564]
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[]\T1/qtm/m/n/10 All du-ra-tions should be spec-i-fied with a du-ra-tion string
 such as those re-turned by the

Underfull \hbox (badness 8075) in paragraph at lines 52973--52978
[][]\T1/txtt/m/sl/10 partitioning_methods.construct_duration_string[][] \T1/qtm
/m/n/10 helper method. Please see [][]\T1/qtm/m/it/10 date-time
[565] [566] [567]
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[]\T1/txtt/bx/n/10 source \T1/qtm/m/n/10 (\T1/txtt/m/n/10 str\T1/qtm/m/n/10 ) ^
^U Resid-u-als chart data source. Check

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[]\T1/txtt/bx/n/10 source \T1/qtm/m/n/10 (\T1/txtt/m/n/10 str\T1/qtm/m/n/10 ) ^
^U Roc Curve data source. Check
[568] [569] [570]
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[]\T1/txtt/bx/n/10 scoring_type \T1/qtm/m/n/10 (\T1/txtt/m/n/10 Optional[str]\T
1/qtm/m/n/10 ) ^^U Ei-ther \T1/txtt/m/n/10 validation \T1/qtm/m/n/10 or \T1/txt
t/m/n/10 crossValidation
[571]
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[]\T1/qtm/m/n/10 All du-ra-tions should be spec-i-fied with a du-ra-tion string
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Underfull \hbox (badness 8075) in paragraph at lines 53687--53692
[][]\T1/txtt/m/sl/10 partitioning_methods.construct_duration_string[][] \T1/qtm
/m/n/10 helper method. Please see [][]\T1/qtm/m/it/10 date-time

Underfull \hbox (badness 7133) in paragraph at lines 53699--53702
\T1/qtm/m/n/10 be used to train the model. If spec-i-fied, nei-ther \T1/txtt/m/
n/10 training_duration \T1/qtm/m/n/10 nor
[572] [573]
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[]\T1/txtt/bx/n/10 sampling_method \T1/qtm/m/n/10 (\T1/txtt/m/n/10 str \T1/qtm/
m/n/10 or \T1/txtt/m/n/10 None\T1/qtm/m/n/10 ) ^^U (New in v2.23) in-di-cates t
he way train-ing
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[]\T1/txtt/bx/n/10 data_selection_method \T1/qtm/m/n/10 (\T1/txtt/m/n/10 str\T1
/qtm/m/n/10 ) ^^U Which of \T1/txtt/m/n/10 training_row_count\T1/qtm/m/n/10 ,

Underfull \hbox (badness 10000) in paragraph at lines 53958--53962
\T1/txtt/m/n/10 training_duration\T1/qtm/m/n/10 , or \T1/txtt/m/n/10 training_s
tart_data \T1/qtm/m/n/10 and \T1/txtt/m/n/10 training_end_date \T1/qtm/m/n/10 w
ere

Underfull \hbox (badness 10000) in paragraph at lines 53964--53970
[]\T1/txtt/bx/n/10 training_info \T1/qtm/m/n/10 (\T1/txtt/m/n/10 dict\T1/qtm/m/
n/10 ) ^^U De-scribes which data was used to train on when

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\T1/qtm/m/n/10 scor-ing the hold-out and mak-ing pre-dic-tions. \T1/txtt/m/n/10
 training_info \T1/qtm/m/n/10 has the fol-low-

Underfull \hbox (badness 10000) in paragraph at lines 53964--53970
\T1/qtm/m/n/10 ing keys: \T1/txtt/m/n/10 holdout_training_start_date\T1/qtm/m/n
/10 , \T1/txtt/m/n/10 holdout_training_duration\T1/qtm/m/n/10 ,

Underfull \hbox (badness 10000) in paragraph at lines 53964--53970
\T1/txtt/m/n/10 holdout_training_row_count\T1/qtm/m/n/10 , \T1/txtt/m/n/10 hold
out_training_end_date\T1/qtm/m/n/10 ,

Underfull \hbox (badness 10000) in paragraph at lines 53964--53970
\T1/txtt/m/n/10 prediction_training_start_date\T1/qtm/m/n/10 , \T1/txtt/m/n/10 
prediction_training_duration\T1/qtm/m/n/10 ,
[575] [576] [577]
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[]\T1/qtm/m/n/10 All du-ra-tions should be spec-i-fied with a du-ra-tion string
 such as those re-turned by the

Underfull \hbox (badness 8075) in paragraph at lines 54431--54436
[][]\T1/txtt/m/sl/10 partitioning_methods.construct_duration_string[][] \T1/qtm
/m/n/10 helper method. Please see [][]\T1/qtm/m/it/10 date-time
[578] [579] [580] [581] [582] [583] [584] [585] [586]
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[]\T1/qtm/m/n/10 Each list item is a dict with the keys \T1/txtt/m/n/10 feature
Name\T1/qtm/m/n/10 , \T1/txtt/m/n/10 impactNormalized\T1/qtm/m/n/10 , and

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\T1/qtm/m/n/10 keys: \T1/txtt/m/n/10 featureName\T1/qtm/m/n/10 , \T1/txtt/m/n/1
0 impactNormalized\T1/qtm/m/n/10 , and \T1/txtt/m/n/10 impactUnnormalized\T1/qt
m/m/n/10 , and
[591] [592] [593] [594] [595] [596] [597] [598]
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\T1/txtt/m/n/10 data_slice_filter.id\T1/qtm/m/n/10 . If \T1/txtt/m/n/10 None \T
1/qtm/m/n/10 (the de-fault), ap-plies no fil-ter based on
[599]
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\T1/txtt/m/n/10 data_slice_filter.id\T1/qtm/m/n/10 . If \T1/txtt/m/n/10 None \T
1/qtm/m/n/10 (the de-fault), ap-plies no fil-ter based on
[600]
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[]\T1/txtt/bx/n/10 source \T1/qtm/m/n/10 (\T1/txtt/m/n/10 str\T1/qtm/m/n/10 ) ^
^U Con-fu-sion chart source. Check

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[]\T1/txtt/bx/n/10 fairness_metrics_set \T1/qtm/m/n/10 (\T1/txtt/m/n/10 Optiona
l[str]\T1/qtm/m/n/10 ) ^^U Can be one of
[601]
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[]\T1/txtt/bx/n/10 source \T1/qtm/m/n/10 (\T1/txtt/m/n/10 str\T1/qtm/m/n/10 ) ^
^U ROC curve data source. Check
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[]\T1/txtt/bx/n/10 source \T1/qtm/m/n/10 (\T1/txtt/m/n/10 str\T1/qtm/m/n/10 ) ^
^U Resid-u-als chart data source. Check
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\T1/txtt/m/n/10 <training_duration>[]<time_window_sample_percent>[]<sampling_me
thod>
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\T1/txtt/bx/n/10 fairness_metrics_set \T1/qtm/m/n/10 (\T1/txtt/m/n/10 Optional[
str]\T1/qtm/m/n/10 ) ^^U Can be one of

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[]\T1/qtm/m/n/10 All du-ra-tions should be spec-i-fied with a du-ra-tion string
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Underfull \hbox (badness 8075) in paragraph at lines 57932--57937
[][]\T1/txtt/m/sl/10 partitioning_methods.construct_duration_string[][] \T1/qtm
/m/n/10 helper method. Please see [][]\T1/qtm/m/it/10 date-time
[609] [610]
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[]\T1/txtt/bx/n/10 source \T1/qtm/m/n/10 (\T1/txtt/m/n/10 str\T1/qtm/m/n/10 ) ^
^U Resid-u-als chart data source. Check
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[]\T1/qtm/m/n/10 All du-ra-tions should be spec-i-fied with a du-ra-tion string
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[][]\T1/txtt/m/sl/10 partitioning_methods.construct_duration_string[][] \T1/qtm
/m/n/10 helper method. Please see [][]\T1/qtm/m/it/10 date-time

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\T1/qtm/m/n/10 be used to train the model. If spec-i-fied, nei-ther \T1/txtt/m/
n/10 training_duration \T1/qtm/m/n/10 nor
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\T1/txtt/m/n/10 data_slice_filter.id\T1/qtm/m/n/10 . If \T1/txtt/m/n/10 None \T
1/qtm/m/n/10 (the de-fault), ap-plies no fil-ter based on
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\T1/txtt/m/n/10 data_slice_filter.id\T1/qtm/m/n/10 . If \T1/txtt/m/n/10 None \T
1/qtm/m/n/10 (the de-fault), ap-plies no fil-ter based on

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[]\T1/txtt/bx/n/10 source \T1/qtm/m/n/10 (\T1/txtt/m/n/10 str\T1/qtm/m/n/10 ) ^
^U Con-fu-sion chart source. Check
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[]\T1/txtt/bx/n/10 fairness_metrics_set \T1/qtm/m/n/10 (\T1/txtt/m/n/10 Optiona
l[str]\T1/qtm/m/n/10 ) ^^U Can be one of
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[]\T1/qtm/m/n/10 Each list item is a dict with the keys \T1/txtt/m/n/10 feature
Name\T1/qtm/m/n/10 , \T1/txtt/m/n/10 impactNormalized\T1/qtm/m/n/10 ,

Underfull \hbox (badness 10000) in paragraph at lines 59977--59980
\T1/qtm/m/n/10 the keys: \T1/txtt/m/n/10 featureName\T1/qtm/m/n/10 , \T1/txtt/m
/n/10 impactNormalized\T1/qtm/m/n/10 , \T1/txtt/m/n/10 impactUnnormalized\T1/qt
m/m/n/10 , and
[627]
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[]\T1/txtt/bx/n/10 source \T1/qtm/m/n/10 (\T1/txtt/m/n/10 str\T1/qtm/m/n/10 ) ^
^U ROC curve data source. Check
[628] [629] [630] [631] [632]
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[]\T1/txtt/bx/n/10 source \T1/qtm/m/n/10 (\T1/txtt/m/n/10 str\T1/qtm/m/n/10 ) ^
^U Resid-u-als chart data source. Check

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[]\T1/txtt/bx/n/10 source \T1/qtm/m/n/10 (\T1/txtt/m/n/10 str\T1/qtm/m/n/10 ) ^
^U ROC curve data source. Check
[633] [634]
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\T1/txtt/m/n/10 <training_duration>[]<time_window_sample_percent>[]<sampling_me
thod>
[635] [636]
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\T1/txtt/bx/n/10 fairness_metrics_set \T1/qtm/m/n/10 (\T1/txtt/m/n/10 Optional[
str]\T1/qtm/m/n/10 ) ^^U Can be one of
[637]
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[]\T1/qtm/m/n/10 All du-ra-tions should be spec-i-fied with a du-ra-tion string
 such as those re-turned by the

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[][]\T1/txtt/m/sl/10 partitioning_methods.construct_duration_string[][] \T1/qtm
/m/n/10 helper method. Please see [][]\T1/qtm/m/it/10 date-time
[638] [639] [640]
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[]\T1/txtt/bx/n/10 source \T1/qtm/m/n/10 (\T1/txtt/m/n/10 str\T1/qtm/m/n/10 ) ^
^U Resid-u-als chart data source. Check
[641]
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[]\T1/txtt/bx/n/10 source \T1/qtm/m/n/10 (\T1/txtt/m/n/10 str\T1/qtm/m/n/10 ) ^
^U Roc Curve data source. Check
[642] [643]
Underfull \hbox (badness 10000) in paragraph at lines 62082--62088
[]\T1/txtt/bx/n/10 scoring_type \T1/qtm/m/n/10 (\T1/txtt/m/n/10 Optional[str]\T
1/qtm/m/n/10 ) ^^U Ei-ther \T1/txtt/m/n/10 validation \T1/qtm/m/n/10 or \T1/txt
t/m/n/10 crossValidation
[644]
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[]\T1/qtm/m/n/10 All du-ra-tions should be spec-i-fied with a du-ra-tion string
 such as those re-turned by the

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[][]\T1/txtt/m/sl/10 partitioning_methods.construct_duration_string[][] \T1/qtm
/m/n/10 helper method. Please see [][]\T1/qtm/m/it/10 date-time

Underfull \hbox (badness 7133) in paragraph at lines 62160--62163
\T1/qtm/m/n/10 be used to train the model. If spec-i-fied, nei-ther \T1/txtt/m/
n/10 training_duration \T1/qtm/m/n/10 nor
[645] [646] [647] [648] [649] [650] [651]
Underfull \hbox (badness 10000) in paragraph at lines 63079--63081
[]\T1/qtm/b/n/10 pa-ram-e-ters \T1/qtm/m/n/10 (\T1/txtt/m/n/10 dict\T1/qtm/m/n/
10 ) ^^U ^^PPa-ram-e-ters^^Q dic-tio-nary, same as spec-i-fied on

Underfull \hbox (badness 10000) in paragraph at lines 63142--63155
[]\T1/txtt/bx/n/10 algorithm \T1/qtm/m/n/10 (\T1/txtt/m/n/10 GridSearchAlgorith
m (optional)\T1/qtm/m/n/10 ) ^^U The al-go-rithm to ap-

Underfull \hbox (badness 10000) in paragraph at lines 63142--63155
\T1/qtm/m/n/10 ply when run-ning the grid search. Ap-ply this only when you spe
c-ify the

Underfull \hbox (badness 10000) in paragraph at lines 63142--63155
\T1/qtm/m/n/10 search type and the search de-ter-mines which al-go-rithm to use
. The fol-

Underfull \hbox (badness 10000) in paragraph at lines 63142--63155
\T1/qtm/m/n/10 low-ing ta-ble lists the valid com-bi-na-tions of search type an
d al-go-rithm.

Underfull \hbox (badness 10000) in paragraph at lines 63142--63155
\T1/qtm/m/n/10 ^^V^^V^^V^^V^^V^^V^^V^^V^^V^^V^^V^^V^^V^^V^^V^^V^^V^^V^^V^^V | G
rid-Search-SearchType.SMART |

Underfull \hbox (badness 10000) in paragraph at lines 63142--63155
\T1/qtm/m/n/10 | Grid-SearchAl-go-rithm.EXHAUSTIVE_SEARCH (de-fault) | | Grid-S
earch-
[652] [653] [654] [655] [656] [657] [658] [659] [660] [661] [662] [663]
[664] [665] [666] [667] [668] [669] [670] [671]
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[]\T1/txtt/bx/n/10 geospatial_monitoring \T1/qtm/m/n/10 (\T1/txtt/m/n/10 Option
al[ExternalGeospatialMonitoring]\T1/qtm/m/n/10 ) ^^U
[672] [673] [674] [675] [676]
Chapter 30.
[677] [678] [679] [680] [681] [682] [683] [684]
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[685] [686] [687] [688] [689] [690] [691]
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\T1/qtm/b/n/10 pre-dic-tions_data_collection_settings \T1/qtm/m/n/10 ^^U Dic-ti
o-nary with an \T1/txtt/m/n/10 enabled \T1/qtm/m/n/10 key

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\T1/qtm/m/n/10 (\T1/txtt/m/n/10 bool\T1/qtm/m/n/10 ) in-di-cat-ing whether pre-
dic-tions data col-lec-tion is en-abled for this de-

Underfull \hbox (badness 10000) in paragraph at lines 67899--67904
\T1/qtm/m/n/10 ploy-ment. To up-date ex-ist-ing \T1/txtt/m/n/10 predictions_dat
a_collection \T1/qtm/m/n/10 set-tings, see
[692] [693] [694] [695] [696] [697] [698] [699] [700] [701]
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[]\T1/txtt/bx/n/10 share_recipient_type \T1/qtm/m/n/10 (\T1/txtt/m/n/10 enum(\T
S1/txtt/m/n/10 ``\T1/qtm/m/n/10 'user'\T1/txtt/m/n/10 , \TS1/txtt/m/n/10 ``'\T1
/txtt/m/n/10 group\TS1/txtt/m/n/10 '\T1/qtm/m/n/10 , \TS1/txtt/m/n/10 '\T1/txtt
/m/n/10 organization\TS1/txtt/m/n/10 '\T1/txtt/m/n/10 )\T1/qtm/m/n/10 ,
[702]
Underfull \hbox (badness 10000) in paragraph at lines 69262--69264
\T1/txtt/bx/n/10 roles \T1/qtm/m/n/10 (\T1/txtt/m/n/10 list(or(GrantAccessContr
olWithUsernameValidator\T1/qtm/m/n/10 ,

Underfull \hbox (badness 10000) in paragraph at lines 69262--69264
\T1/txtt/m/n/10 GrantAccessControlWithIdValidator\T1/qtm/m/n/10 , \T1/txtt/m/n/
10 SharingRole))\T1/qtm/m/n/10 ) ^^U Ar-ray of GrantAc-
[703] [704] [705] [706] [707] [708] [709] [710] [711] [712] [713] [714]
[715] [716] [717] [718] [719] [720] [721]
Underfull \hbox (badness 10000) in paragraph at lines 71773--71777
[]\T1/txtt/bx/n/10 target_drift \T1/qtm/m/n/10 (\T1/txtt/m/n/10 Settings\T1/qtm
/m/n/10 ) ^^U If tar-get drift track-ing is en-abled for this

Underfull \hbox (badness 10000) in paragraph at lines 71773--71777
\T1/qtm/m/n/10 de-ploy-ment. To cre-ate or up-date ex-ist-ing \T1/txtt/m/n/10 t
arget_drift \T1/qtm/m/n/10 set-tings, see

Underfull \hbox (badness 10000) in paragraph at lines 71779--71783
[]\T1/txtt/bx/n/10 feature_drift \T1/qtm/m/n/10 (\T1/txtt/m/n/10 Settings\T1/qt
m/m/n/10 ) ^^U If fea-ture drift track-ing is en-abled for this

Underfull \hbox (badness 10000) in paragraph at lines 71779--71783
\T1/qtm/m/n/10 de-ploy-ment. To cre-ate or up-date ex-ist-ing \T1/txtt/m/n/10 f
eature_drift \T1/qtm/m/n/10 set-tings, see

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[]\T1/txtt/bx/n/10 enabled \T1/qtm/m/n/10 (\T1/txtt/m/n/10 bool\T1/qtm/m/n/10 )
 ^^U If tar-get pre-dic-tion_warning is en-abled for this de-ploy-

Underfull \hbox (badness 10000) in paragraph at lines 71803--71807
\T1/qtm/m/n/10 ment. To cre-ate or up-date ex-ist-ing \T1/txtt/m/n/10 predictio
n_warning \T1/qtm/m/n/10 set-tings, see
[722] [723] [724] [725]
Underfull \hbox (badness 10000) in paragraph at lines 72272--72274
[]\T1/txtt/bx/n/10 supported_model_formats \T1/qtm/m/n/10 (\T1/txtt/m/n/10 list
[PredictionEnvironmentModelFormats]\T1/qtm/m/n/10 , \T1/qtm/m/it/10 op-
[726] [727] [728]
Chapter 31.
[729] [730] [731] [732]
Chapter 32.
[733] [734] [735] [736] [737] [738] [739] [740] [741]
Underfull \hbox (badness 10000) in paragraph at lines 74324--74327
[]\T1/qtm/m/n/10 E.g. The prob-a-bil-ity P(A=0,B=1) can be re-trieved via:

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\T1/txtt/m/n/10 pairwise_joint_probabilities.statistic_dataframes[(0,1)].loc[\T
S1/txtt/m/n/10 '\T1/txtt/m/n/10 A\TS1/txtt/m/n/10 '\T1/txtt/m/n/10 ,
[742] [743]
Underfull \hbox (badness 10000) in paragraph at lines 74472--74475
[]\T1/qtm/m/n/10 E.g. The prob-a-bil-ity P(A=0|B=1) can be re-trieved via:

Underfull \hbox (badness 10000) in paragraph at lines 74472--74475
\T1/txtt/m/n/10 pairwise_conditional_probabilities.statistic_dataframes[(0,1)].

[744] [745] [746] [747] [748] [749] [750] [751]
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\T1/qtm/m/n/10 tion win-dows set-tings. If present, time-aware joins will be us
ed. Only al-

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[]\T1/txtt/bx/n/10 prediction_point_rounding \T1/qtm/m/n/10 (\T1/txtt/m/n/10 Op
tional[int]\T1/qtm/m/n/10 ) ^^U Clos-est value of pre-dic-

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\T1/qtm/m/n/10 Time unit of the fea-ture deriva-tion win-dow. One of \T1/txtt/m
/n/10 datarobot.enums.
[752] [753]
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\T1/qtm/m/n/10 of the pri-mary tem-po-ral key for each dataset into the past re
l-a-tive to the

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[]\T1/txtt/bx/n/10 feature_derivation_window_end \T1/qtm/m/n/10 (\T1/txtt/m/n/1
0 int \T1/qtm/m/n/10 or \T1/txtt/m/n/10 None\T1/qtm/m/n/10 ) ^^U How many \T1/t
xtt/m/n/10 timeUnits

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\T1/qtm/m/n/10 of each dataset record pri-mary tem-po-ral key into the past rel
-a-tive to the
[754]
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[]\T1/txtt/bx/n/10 prediction_point_rounding \T1/qtm/m/n/10 (\T1/txtt/m/n/10 in
t\T1/qtm/m/n/10 , or \T1/txtt/m/n/10 None\T1/qtm/m/n/10 ) ^^U Clos-est value of


Underfull \hbox (badness 8038) in paragraph at lines 75803--75807
[]\T1/txtt/bx/n/10 prediction_point_rounding_time_unit \T1/qtm/m/n/10 (\T1/txtt
/m/n/10 str\T1/qtm/m/n/10 , or \T1/txtt/m/n/10 None\T1/qtm/m/n/10 ) ^^U The tim
e unit of

Underfull \hbox (badness 10000) in paragraph at lines 75823--75826
\T1/qtm/m/n/10 Time unit of the fea-ture deriva-tion win-dow. One of \T1/txtt/m
/n/10 datarobot.enums.

Underfull \hbox (badness 10000) in paragraph at lines 75843--75845
[]\T1/txtt/bx/n/10 specifying \T1/qtm/m/n/10 (\T1/txtt/m/sl/10 To see the list 
of possible settings, create a

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[]\T1/txtt/bx/n/10 dataset_definitions \T1/qtm/m/n/10 (\T1/txtt/m/n/10 list \T1
/qtm/m/n/10 of \T1/txtt/m/n/10 DatasetDefinition\T1/qtm/m/n/10 ) ^^U Each el-e-
ment is a

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\T1/qtm/m/n/10 Each el-e-ment is a dic-tio-nary or a \T1/txtt/m/n/10 datarobot.
helpers.feature_discovery.
[755] [756]
Underfull \hbox (badness 10000) in paragraph at lines 75987--75989
[]\T1/txtt/bx/n/10 dataset_definitions \T1/qtm/m/n/10 (\T1/txtt/m/n/10 List[Dat
asetDefinition]\T1/qtm/m/n/10 ) ^^U Each el-e-ment is a

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\T1/qtm/m/n/10 Each el-e-ment is a dic-tio-nary or a \T1/txtt/m/n/10 datarobot.
helpers.feature_discovery.
[757] [758] [759] [760] [761] [762] [763] [764] [765] [766] [767] [768]
Chapter 33.

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l.78257 \PYG{g+go}{└── finance/}
                                      

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l.78257 \PYG{g+go}{└── finance/}
                                      

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l.78257 \PYG{g+go}{└── finance/}
                                      

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l.78258 \PYG{g+go}{    ├── fy\PYGZhy{}2024/}
                                                  

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l.78258 \PYG{g+go}{    ├── fy\PYGZhy{}2024/}
                                                  

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l.78258 \PYG{g+go}{    ├── fy\PYGZhy{}2024/}
                                                  

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l.78259 \PYG{g+go}{    │   └── budgets/}
                                                

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l.78259 \PYG{g+go}{    │   └── budgets/}
                                                

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l.78259 \PYG{g+go}{    │   └── budgets/}
                                                

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l.78259 \PYG{g+go}{    │   └── budgets/}
                                                

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l.78260 ...─ Q2\PYGZus{}budget\PYGZus{}2024.pdf}
                                                  

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l.78260 ...─ Q2\PYGZus{}budget\PYGZus{}2024.pdf}
                                                  

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l.78260 ...─ Q2\PYGZus{}budget\PYGZus{}2024.pdf}
                                                  

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l.78260 ...─ Q2\PYGZus{}budget\PYGZus{}2024.pdf}
                                                  

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l.78261 ...   └── employee\PYGZhy{}list.csv}
                                                  

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l.78261 ...   └── employee\PYGZhy{}list.csv}
                                                  

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l.78261 ...   └── employee\PYGZhy{}list.csv}
                                                  
[778] [779] [780] [781] [782] [783] [784] [785] [786] [787]
Underfull \hbox (badness 10000) in paragraph at lines 79342--79349
\T1/txtt/m/sl/10 RENAME[][] \T1/qtm/m/n/10 to re-name and up-loaded file us-ing
 the ^^P<file-name> (n).ext^^Q pat-tern.

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\T1/qtm/m/n/10 Use [][]\T1/txtt/m/sl/10 FilesOverwriteStrategy.REPLACE[][] \T1/
qtm/m/n/10 to over-write the ex-ist-ing file. Use
[788]
Underfull \hbox (badness 10000) in paragraph at lines 79483--79485
[]\T1/qtm/m/n/10 Ex-am-ple: \T1/txtt/m/n/10 /mydomain.sharepoint.com,4732d...8b
01b0,eb0d3...e42f/b!8tQyRyn.....

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[789] [790] [791]
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\T1/txtt/m/sl/10 RENAME[][] \T1/qtm/m/n/10 to re-name and up-loaded file us-ing
 the ^^P<file-name> (n).ext^^Q pat-tern.

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\T1/qtm/m/n/10 Use [][]\T1/txtt/m/sl/10 FilesOverwriteStrategy.REPLACE[][] \T1/
qtm/m/n/10 to over-write the ex-ist-ing file. Use

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[]\T1/txtt/bx/n/10 kwargs \T1/qtm/m/n/10 (\T1/txtt/m/n/10 Any\T1/qtm/m/n/10 ) ^
^U Ad-di-tional key-word ar-gu-ments passed to [][]\T1/txtt/m/sl/10 DataRobotFi
le[][] \T1/qtm/m/n/10 or
[792] [793]
Underfull \hbox (badness 10000) in paragraph at lines 79830--79832
[]\T1/txtt/bx/n/10 NotImplementedError \T1/qtm/m/n/10 ^^U If at-tempt-ing to up
-load a di-rec-tory and
[794] [795] [796] [797] [798] [799] [800] [801] [802] [803] [804] [805]
[806] [807] [808] [809] [810] [811] [812]
Chapter 34.
[813] [814] [815] [816] [817] [818] [819] [820] [821]
Underfull \hbox (badness 10000) in paragraph at lines 83297--83302
[]\T1/txtt/bx/n/10 vector_database_network_egress_policy \T1/qtm/m/n/10 (\T1/tx
tt/m/n/10 Optional[str]\T1/qtm/m/n/10 ) ^^U Only

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\T1/qtm/m/n/10 used if a new vec-tor database is de-ployed. De-ter-mines whethe
r the

Underfull \hbox (badness 10000) in paragraph at lines 83297--83302
\T1/qtm/m/n/10 new vec-tor database de-ploy-ment is iso-lated or can ac-cess th
e pub-

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\T1/qtm/m/n/10 lic net-work. Val-ues: [\T1/qtm/m/it/10 datarobot.NETWORK_EGRESS
_POLICY.NONE\T1/qtm/m/n/10 ,
[822] [823] [824]
Chapter 35.
[825] [826] [827] [828] [829] [830] [831] [832] [833] [834] [835] [836]
[837] [838] [839] [840] [841] [842] [843] [844]
Chapter 36.
[845] [846]
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[]\T1/txtt/bx/n/10 metadata_combination_strategy \T1/qtm/m/n/10 (\T1/txtt/m/n/1
0 Optional[VectorDatabaseMetadataCombinationStrategy]\T1/qtm/m/n/10 )
[847]
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[]\T1/txtt/bx/n/10 metadata_combination_strategy \T1/qtm/m/n/10 (\T1/txtt/m/n/1
0 Optional[VectorDatabaseMetadataCombinationStrategy]\T1/qtm/m/n/10 )
[848] [849]
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[]\T1/txtt/bx/n/10 metadata_combination_strategy \T1/qtm/m/n/10 (\T1/txtt/m/n/1
0 Optional[VectorDatabaseMetadataCombinationStrategy]\T1/qtm/m/n/10 )
[850]
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[]\T1/txtt/bx/n/10 resource_bundle_id \T1/qtm/m/n/10 (\T1/txtt/m/n/10 Optional[
str]\T1/qtm/m/n/10 ) ^^U The ID of a

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[]\T1/txtt/bx/n/10 network_egress_policy \T1/qtm/m/n/10 (\T1/txtt/m/n/10 Option
al[str]\T1/qtm/m/n/10 ) ^^U De-ter-mines whether

Underfull \hbox (badness 10000) in paragraph at lines 86759--86763
\T1/qtm/m/n/10 the given cus-tom model is iso-lated, or can ac-cess the pub-lic
 net-

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\T1/qtm/m/n/10 work. Val-ues: [\T1/qtm/m/it/10 datarobot.NETWORK_EGRESS_POLICY.
NONE\T1/qtm/m/n/10 ,

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[]\T1/txtt/bx/n/10 resource_bundle_id \T1/qtm/m/n/10 (\T1/txtt/m/n/10 Optional[
str]\T1/qtm/m/n/10 ) ^^U The ID of a

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[]\T1/txtt/bx/n/10 network_egress_policy \T1/qtm/m/n/10 (\T1/txtt/m/n/10 Option
al[str]\T1/qtm/m/n/10 ) ^^U De-ter-mines whether

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\T1/qtm/m/n/10 the given cus-tom model is iso-lated, or can ac-cess the pub-lic
 net-

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\T1/qtm/m/n/10 work. Val-ues: [\T1/qtm/m/it/10 datarobot.NETWORK_EGRESS_POLICY.
NONE\T1/qtm/m/n/10 ,
[851] [852] [853] [854] [855] [856]
Chapter 37.
[857] [858] [859] [860] [861] [862] [863] [864] [865] [866] [867] [868]
[869] [870] [871]
Underfull \hbox (badness 6592) in paragraph at lines 89370--89372
[]\T1/txtt/bx/n/10 prompt_moderation_configuration \T1/qtm/m/n/10 (\T1/txtt/m/n
/10 ModerationConfigurationWithoutID\T1/qtm/m/n/10 , \T1/qtm/m/it/10 op-
[872]
Underfull \hbox (badness 10000) in paragraph at lines 89488--89490
[]\T1/txtt/bx/n/10 response_moderation_configuration \T1/qtm/m/n/10 (\T1/txtt/m
/n/10 ModerationConfigurationWithoutID\T1/qtm/m/n/10 ,
[873] [874] [875] [876]
Chapter 38.
[877]
Underfull \hbox (badness 10000) in paragraph at lines 90039--90041
[]\T1/txtt/bx/n/10 nemo_info \T1/qtm/m/n/10 (\T1/txtt/m/n/10 Optional\T1/qtm/m/
n/10 [[][]\T1/txtt/m/sl/10 GuardNemoInfo[][]\T1/qtm/m/n/10 ]) ^^U Ad-di-tional 
con-fig-u-ra-tion for NeMo

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[]\T1/txtt/bx/n/10 openai_api_key \T1/qtm/m/n/10 (\T1/txtt/m/n/10 str\T1/qtm/m/
n/10 ) ^^U To-ken to use for Ope-nAI. Dep-re-cated; use
[878]
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[]\T1/txtt/bx/n/10 nemo_info \T1/qtm/m/n/10 (\T1/txtt/m/n/10 Optional\T1/qtm/m/
n/10 [[][]\T1/txtt/m/sl/10 GuardNemoInfo[][]\T1/qtm/m/n/10 ]) ^^U Ad-di-tional 
con-fig-u-ra-tion for NeMo

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[]\T1/txtt/bx/n/10 openai_api_key \T1/qtm/m/n/10 (\T1/txtt/m/n/10 str\T1/qtm/m/
n/10 ) ^^U To-ken to use for Ope-nAI. Dep-re-cated; use
[879] [880] [881] [882] [883]
Underfull \hbox (badness 10000) in paragraph at lines 90905--90907
[]\T1/txtt/bx/n/10 nemo_info \T1/qtm/m/n/10 (\T1/txtt/m/n/10 Optional\T1/qtm/m/
n/10 [[][]\T1/txtt/m/sl/10 GuardNemoInfo[][]\T1/qtm/m/n/10 ]) ^^U Ad-di-tional 
con-fig-u-ra-tion for NeMo

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[]\T1/txtt/bx/n/10 nemo_info \T1/qtm/m/n/10 (\T1/txtt/m/n/10 Optional\T1/qtm/m/
n/10 [[][]\T1/txtt/m/sl/10 GuardNemoInfo[][]\T1/qtm/m/n/10 ]) ^^U Ad-di-tional 
con-fig-u-ra-tion for NeMo
[884] [885] [886]
Chapter 39.
[887]
Underfull \hbox (badness 10000) in paragraph at lines 91322--91326
[]\T1/txtt/bx/n/10 max_wait \T1/qtm/m/n/10 (\T1/txtt/m/n/10 int\T1/qtm/m/n/10 ,
 \T1/qtm/m/it/10 op-tional\T1/qtm/m/n/10 ) ^^U Max-i-mum num-ber of sec-onds to
 wait when

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\T1/txtt/m/n/10 wait_for_completion=True\T1/qtm/m/n/10 . De-faults to 10800 (3 
hours). Raises
[888] [889] [890]
Chapter 40.

Underfull \hbox (badness 10000) in paragraph at lines 91526--91538
[]\TS1/txtt/m/n/10 `\T1/txtt/m/n/10 python >>> from datarobot.insights import R
ocCurve >>> RocCurve.compute(

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\T1/txtt/m/n/10 "67643b2d87bb4954d7917323", data_slice_id="6764389b4bdd48581485
a58b

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\T1/txtt/m/n/10 ") <datarobot.models.status_check_job.StatusCheckJob object at

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\T1/txtt/m/n/10 0x7fc0b313cc40> >>> RocCurve.get("67643b2d87bb4954d7917323", da
ta_slice_id=

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\T1/txtt/m/n/10 "6764389b4bdd48581485a58b") <datarobot.insights.roc_curve.RocCu
rve object at

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\T1/txtt/m/n/10 0x7fc0a7549d20> >>> RocCurve.list("67643b2d87bb4954d7917323") [
<datarobot.

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\T1/txtt/m/n/10 insights.roc_curve.RocCurve object at 0x7fc0a7549f60>, ...] >>>
 RocCurve.

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\T1/txtt/m/n/10 list("67643b2d87bb4954d7917323")[0].roc_points [{\TS1/txtt/m/n/
10 '\T1/txtt/m/n/10 accuracy\TS1/txtt/m/n/10 '\T1/txtt/m/n/10 : 0.539375,

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\TS1/txtt/m/n/10 '\T1/txtt/m/n/10 f1_score\TS1/txtt/m/n/10 '\T1/txtt/m/n/10 : 0
.0, \TS1/txtt/m/n/10 '\T1/txtt/m/n/10 false_negative_score\TS1/txtt/m/n/10 '\T1
/txtt/m/n/10 : 737, \TS1/txtt/m/n/10 '\T1/txtt/m/n/10 true_negative_score\TS1/t
xtt/m/n/10 '\T1/txtt/m/n/10 : 863,
[891] [892]
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[]\TS1/txtt/m/n/10 `\T1/txtt/m/n/10 python >>> from datarobot.insights import L
iftChart >>> LiftChart.compute(

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\T1/txtt/m/n/10 "67643b2d87bb4954d7917323", data_slice_id="6764389b4bdd48581485
a58b")

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\T1/txtt/m/n/10 <datarobot.models.status_check_job.StatusCheckJob object at 0x7
fa7f5ba20b0>

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\T1/txtt/m/n/10 >>> LiftChart.list("67643b2d87bb4954d7917323") [<datarobot.insi
ghts.

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\T1/txtt/m/n/10 lift_chart.LiftChart object at 0x7fe242eeaa10>, ... ] >>> LiftC
hart.get(

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\T1/txtt/m/n/10 "67643b2d87bb4954d7917323", data_slice_id="6764389b4bdd48581485
a58b").bins

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\T1/txtt/m/n/10 [{\TS1/txtt/m/n/10 '\T1/txtt/m/n/10 actual\TS1/txtt/m/n/10 '\T1
/txtt/m/n/10 : 0.4, \TS1/txtt/m/n/10 '\T1/txtt/m/n/10 predicted\TS1/txtt/m/n/10
 '\T1/txtt/m/n/10 : 0.22727272727272724, \TS1/txtt/m/n/10 '\T1/txtt/m/n/10 bin_
weight\TS1/txtt/m/n/10 '\T1/txtt/m/n/10 : 5.0}, ... ]
[893] [894] [895]
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[]\TS1/txtt/m/n/10 `\T1/txtt/m/n/10 python >>> from datarobot.insights import R
esiduals >>> Residuals.list(

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\T1/txtt/m/n/10 "672e32de69b0b676ced54d9c") [<datarobot.insights.residuals.Resi
duals

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\T1/txtt/m/n/10 object at 0x7fbce8305ae0>] >>> Residuals.compute("672e32de69b0b
676ced54d9c

Underfull \hbox (badness 10000) in paragraph at lines 92270--92285
\T1/txtt/m/n/10 ", data_slice_id="677ae1249695103ba9feff97") <datarobot.models.


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\T1/txtt/m/n/10 status_check_job.StatusCheckJob object at 0x7fbcf4054b80> >>> R
esiduals.

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\T1/txtt/m/n/10 list("672e32de69b0b676ced54d9c") [<datarobot.insights.residuals
.Residuals

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\T1/txtt/m/n/10 object at 0x7fbce8305870>, <datarobot.insights.residuals.Residu
als

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\T1/txtt/m/n/10 object at 0x7fbce8305690>] >>> Residuals.get("672e32de69b0b676c
ed54d9c

Underfull \hbox (badness 10000) in paragraph at lines 92270--92285
\T1/txtt/m/n/10 ", data_slice_id="677ae1249695103ba9feff97") <datarobot.insight
s.

Underfull \hbox (badness 10000) in paragraph at lines 92270--92285
\T1/txtt/m/n/10 residuals.Residuals object at 0x7fbce83057b0> >>> Residuals.get
(

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\T1/txtt/m/n/10 "672e32de69b0b676ced54d9c", data_slice_id="677ae1249695103ba9fe
ff97").

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\T1/txtt/m/n/10 histogram [{\TS1/txtt/m/n/10 '\T1/txtt/m/n/10 interval_start\TS
1/txtt/m/n/10 '\T1/txtt/m/n/10 : []33.37288135593221, \TS1/txtt/m/n/10 '\T1/txt
t/m/n/10 interval_end\TS1/txtt/m/n/10 '\T1/txtt/m/n/10 : []32.
[896] [897] [898] [899] [900] [901] [902] [903] [904]
Underfull \hbox (badness 10000) in paragraph at lines 93626--93630
\T1/txtt/bx/n/10 key_name \T1/qtm/m/n/10 (\T1/txtt/m/n/10 str\T1/qtm/m/n/10 ) ^
^U Item key name to sort data. One of \T1/txtt/m/n/10 feature_name\T1/qtm/m/n/1
0 ,
[905] [906] [907] [908]
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[]\T1/txtt/bx/n/10 status \T1/qtm/m/n/10 (\T1/txtt/m/n/10 str\T1/qtm/m/n/10 ) ^
^U The sta-tus of the in-sight. One of \T1/txtt/m/n/10 datarobot.enums.
[909] [910] [911] [912] [913]
Underfull \hbox (badness 10000) in paragraph at lines 95046--95048
[]\T1/txtt/m/n/10 [ [ True Negative, False Positive ], [ False Negative, True P
ositive
[914] [915] [916]
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[917] [918]
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Underfull \hbox (badness 10000) in paragraph at lines 95701--95704
[]\T1/txtt/bx/n/10 resolutions \T1/qtm/m/n/10 (\T1/txtt/m/n/10 list \T1/qtm/m/n
/10 of \T1/txtt/m/n/10 string\T1/qtm/m/n/10 ) ^^U A list of \T1/txtt/m/n/10 dat
arobot.enums.

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\T1/txtt/m/n/10 DATETIME_TREND_PLOTS_RESOLUTION\T1/qtm/m/n/10 , which rep-re-se
nts avail-able time res-o-lu-tions

Underfull \hbox (badness 10000) in paragraph at lines 95735--95737
\T1/qtm/m/n/10 Sta-tus back-test/holdout train-ing. One of \T1/txtt/m/n/10 data
robot.enums.

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\T1/qtm/m/n/10 Sta-tus back-test/holdout val-i-da-tion. One of \T1/txtt/m/n/10 
datarobot.enums.
[921] [922]
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[]\T1/txtt/bx/n/10 resolutions \T1/qtm/m/n/10 (\T1/txtt/m/n/10 list \T1/qtm/m/n
/10 of \T1/txtt/m/n/10 string\T1/qtm/m/n/10 ) ^^U A list of \T1/txtt/m/n/10 dat
arobot.enums.

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\T1/txtt/m/n/10 DATETIME_TREND_PLOTS_RESOLUTION\T1/qtm/m/n/10 , which rep-re-se
nts avail-able time res-o-lu-tions
[923] [924] [925]
Underfull \hbox (badness 10000) in paragraph at lines 96366--96369
[]\T1/txtt/bx/n/10 resolutions \T1/qtm/m/n/10 (\T1/txtt/m/n/10 list \T1/qtm/m/n
/10 of \T1/txtt/m/n/10 string\T1/qtm/m/n/10 ) ^^U A list of \T1/txtt/m/n/10 dat
arobot.enums.

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\T1/txtt/m/n/10 DATETIME_TREND_PLOTS_RESOLUTION\T1/qtm/m/n/10 , which rep-re-se
nts avail-able time res-o-lu-tions

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\T1/qtm/m/n/10 Sta-tus back-test/holdout train-ing. One of \T1/txtt/m/n/10 data
robot.enums.

Underfull \hbox (badness 10000) in paragraph at lines 96407--96409
\T1/qtm/m/n/10 Sta-tus back-test/holdout val-i-da-tion. One of \T1/txtt/m/n/10 
datarobot.enums.
[926] [927] [928] [929] [930] [931]
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[]\T1/txtt/bx/n/10 metric \T1/qtm/m/n/10 (\T1/txtt/m/n/10 enums.FEATURE_ASSOCIA
TION_METRIC\T1/qtm/m/n/10 ) ^^U The name of a met-

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\T1/qtm/m/n/10 ric to get pair-wise data for. Since `v2.19' this is op-tional a
nd de-faults to

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[]\T1/txtt/bx/n/10 association_type \T1/qtm/m/n/10 (\T1/txtt/m/n/10 enums.FEATU
RE_ASSOCIATION_TYPE\T1/qtm/m/n/10 ) ^^U The type of

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\T1/qtm/m/n/10 de-pen-dence for the data. Since `v2.19' this is op-tional and d
e-faults to
[932] [933] [934] [935] [936] [937] [938] [939]
Underfull \hbox (badness 10000) in paragraph at lines 98281--98284
[]\T1/qtm/m/n/10 Com-pute a Pre-dic-tion-Ex-pla-na-tion-sIni-tial-iza-tion for 
the model via \T1/txtt/m/n/10 datarobot.

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[]\T1/qtm/m/n/10 Com-pute pre-dic-tions for the model and dataset via \T1/txtt/
m/n/10 datarobot.Model.
[940]
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\T1/qtm/m/n/10 Cre-ate the pre-dic-tion ex-pla-na-tions for the dataset used to
 train the model. This can be

Underfull \hbox (badness 6927) in paragraph at lines 98359--98365
\T1/qtm/m/n/10 re-trieved by call-ing \T1/txtt/m/n/10 dr.Model.get().featurelis
t_id\T1/qtm/m/n/10 . For OTV and time-series projects,

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[]\T1/qtm/m/n/10 Com-pute a Pre-dic-tion-Ex-pla-na-tion-sIni-tial-iza-tion for 
the model via \T1/txtt/m/n/10 datarobot.

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[]\T1/qtm/m/n/10 Com-pute pre-dic-tions for the model and dataset via \T1/txtt/
m/n/10 datarobot.Model.
[941] [942] [943] [944] [945] [946] [947] [948] [949] [950] [951] [952]
[953] [954]
Chapter 41.
[955] [956] [957] [958] [959] [960] [961] [962]
Chapter 42.
[963] [964] [965] [966]
Chapter 43.
[967] [968] [969] [970]
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[]\T1/txtt/bx/n/10 deduplication_key \T1/qtm/m/n/10 (\T1/txtt/m/n/10 str \T1/qt
m/m/n/10 or \T1/txtt/m/n/10 None\T1/qtm/m/n/10 ) ^^U Op-tional. A 1-72 char-ac-
ter key that

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[][]\T1/txtt/m/sl/10 MemorySessionDeduplicationError[][]\T1/qtm/m/n/10 , which 
car-ries \T1/txtt/m/n/10 existing_session_id \T1/qtm/m/n/10 so
[971] [972] [973] [974] [975] [976]
Chapter 44.
[977] [978]
Chapter 45.
[979] [980] [981] [982] [983] [984] [985] [986] [987] [988]
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[989] [990] [991] [992] [993] [994]
Chapter 46.
[995]
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[]\T1/txtt/bx/n/10 catalog_version_id \T1/qtm/m/n/10 (\T1/txtt/m/n/10 str\T1/qt
m/m/n/10 ) ^^U (New in ver-sion v3.0) The ob-ject ID of the
[996] [997] [998] [999] [1000] [1001]
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\T1/qtm/m/n/10 the [][]\T1/qtm/m/it/10 Par-ti-tion Classes[][] \T1/qtm/m/n/10 d
e-fined in \T1/txtt/m/n/10 datarobot.helpers.partitioning_methods\T1/qtm/m/n/10
 .

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\T1/qtm/m/n/10 As an al-ter-na-tive, use [][]\T1/txtt/m/sl/10 Project.set_parti
tioning_method[][] \T1/qtm/m/n/10 or [][]\T1/txtt/m/sl/10 Project.

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[]\T1/txtt/bx/n/10 bias_mitigation_technique \T1/qtm/m/n/10 (\T1/txtt/m/n/10 Op
tional[str]\T1/qtm/m/n/10 ) ^^U One of

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\T1/qtm/m/n/10 datarobot.enums.BiasMitigationTechnique Op-tions: - `\T1/qtm/m/i
t/10 pre-pro-cess-in-gReweigh-ing\T1/qtm/m/n/10 ' -

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\T1/qtm/m/n/10 `\T1/qtm/m/it/10 post-Pro-cess-in-gRe-jec-tionOp-tion-Based-Clas
-si-fi-ca-tion\T1/qtm/m/n/10 ' The tech-nique by which we'll
[1002]
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[]\T1/txtt/bx/n/10 include_bias_mitigation_feature_as_predictor_variable
[1003] [1004]
Underfull \hbox (badness 7888) in paragraph at lines 105909--105916
\T1/qtm/m/n/10 and \T1/txtt/m/n/10 AUTOPILOT_MODE.COMPREHENSIVE\T1/qtm/m/n/10 .
 \T1/txtt/m/n/10 COMPREHENSIVE\TS1/txtt/m/n/10 ` \T1/txtt/m/n/10 runs all bluep
rints

Underfull \hbox (badness 10000) in paragraph at lines 105909--105916
\T1/txtt/m/n/10 in the repository (this may be extremely slow). If unspecified,


Underfull \hbox (badness 10000) in paragraph at lines 105932--105938
\T1/qtm/m/n/10 the [][]\T1/qtm/m/it/10 Par-ti-tion Classes[][] \T1/qtm/m/n/10 d
e-fined in \T1/txtt/m/n/10 datarobot.helpers.partitioning_methods\T1/qtm/m/n/10
 .

Underfull \hbox (badness 10000) in paragraph at lines 105932--105938
\T1/qtm/m/n/10 As an al-ter-na-tive, use [][]\T1/txtt/m/sl/10 Project.set_parti
tioning_method[][] \T1/qtm/m/n/10 or [][]\T1/txtt/m/sl/10 Project.
[1005] [1006]
Underfull \hbox (badness 10000) in paragraph at lines 106134--106140
\T1/qtm/m/n/10 the [][]\T1/qtm/m/it/10 Par-ti-tion Classes[][] \T1/qtm/m/n/10 d
e-fined in \T1/txtt/m/n/10 datarobot.helpers.partitioning_methods\T1/qtm/m/n/10
 .

Underfull \hbox (badness 10000) in paragraph at lines 106134--106140
\T1/qtm/m/n/10 As an al-ter-na-tive, use [][]\T1/txtt/m/sl/10 Project.set_parti
tioning_method[][] \T1/qtm/m/n/10 or [][]\T1/txtt/m/sl/10 Project.

Underfull \hbox (badness 10000) in paragraph at lines 106180--106182
[]\T1/txtt/bx/n/10 class_mapping_aggregation_settings \T1/qtm/m/n/10 (\T1/txtt/
m/n/10 ClassMappingAggregationSettings\T1/qtm/m/n/10 ,
[1007] [1008]
Underfull \hbox (badness 10000) in paragraph at lines 106397--106405
[]\T1/txtt/bx/n/10 use_new_models_retrieval \T1/qtm/m/n/10 (\T1/txtt/m/n/10 boo
l\T1/qtm/m/n/10 , \T1/qtm/m/it/10 de-fault \T1/txtt/m/n/10 False\T1/qtm/m/n/10 
) ^^U If \T1/txtt/m/n/10 true\T1/qtm/m/n/10 , new re-

Underfull \hbox (badness 10000) in paragraph at lines 106397--106405
\T1/qtm/m/n/10 trieval route is used, which sup-ports fil-ter-ing and re-turns 
fewer at-tributes

Underfull \hbox (badness 10000) in paragraph at lines 106397--106405
\T1/qtm/m/n/10 per in-di-vid-ual model. Fol-low-ing at-tributes are ab-sent and
 could be re-

Underfull \hbox (badness 10000) in paragraph at lines 106397--106405
\T1/qtm/m/n/10 trieved from the blueprint level: \T1/txtt/m/n/10 monotonic_incr
easing_featurelist_id\T1/qtm/m/n/10 ,

Underfull \hbox (badness 10000) in paragraph at lines 106397--106405
\T1/txtt/m/n/10 monotonic_decreasing_featurelist_id\T1/qtm/m/n/10 , \T1/txtt/m/
n/10 supports_composable_ml \T1/qtm/m/n/10 and

Underfull \hbox (badness 10000) in paragraph at lines 106397--106405
\T1/txtt/m/n/10 supports_monotonic_constraints\T1/qtm/m/n/10 . Fol-low-ing at-t
ributes are ab-sent and

Underfull \hbox (badness 10000) in paragraph at lines 106397--106405
\T1/qtm/m/n/10 could be re-trieved from the in-di-vid-ual model level: \T1/txtt
/m/n/10 has_empty_clusters\T1/qtm/m/n/10 ,

Underfull \hbox (badness 10000) in paragraph at lines 106397--106405
\T1/txtt/m/n/10 is_n_clusters_dynamically_determined\T1/qtm/m/n/10 , \T1/txtt/m
/n/10 prediction_threshold \T1/qtm/m/n/10 and
[1009] [1010] [1011] [1012]
Underfull \hbox (badness 10000) in paragraph at lines 106755--106757
[]\T1/txtt/bx/n/10 credentials \T1/qtm/m/n/10 (\T1/txtt/m/n/10 Optional[List] a
 list \T1/qtm/m/n/10 of \T1/txtt/m/n/10 credentials for the datasets

Underfull \hbox (badness 7649) in paragraph at lines 106794--106797
[]\T1/txtt/bx/n/10 ValueError \T1/qtm/m/n/10 ^^U Raised if \T1/txtt/m/n/10 fore
cast_point \T1/qtm/m/n/10 or \T1/txtt/m/n/10 predictions_start_date \T1/qtm/m/n
/10 and
[1013]
Underfull \hbox (badness 10000) in paragraph at lines 106849--106851
[]\T1/txtt/bx/n/10 credentials \T1/qtm/m/n/10 (\T1/txtt/m/n/10 Optional[List] a
 list \T1/qtm/m/n/10 of \T1/txtt/m/n/10 credentials for the datasets

Underfull \hbox (badness 10000) in paragraph at lines 106914--106920
[]\T1/txtt/bx/n/10 credential_data \T1/qtm/m/n/10 (\T1/txtt/m/n/10 BasicCredent
ialsDataDict | S3CredentialsDataDict |
[1014] [1015] [1016]
Overfull \hbox (0.89392pt too wide) in paragraph at lines 107198--107202
[]\T1/txtt/bx/n/10 credentials \T1/qtm/m/n/10 (\T1/txtt/m/n/10 list[BasicCreden
tialsDict | CredentialIdCredentialsDict]\T1/qtm/m/n/10 ,
[1017] [1018] [1019] [1020] [1021] [1022] [1023] [1024] [1025]
Underfull \hbox (badness 10000) in paragraph at lines 108287--108296
[]\T1/txtt/bx/n/10 scoring_type \T1/qtm/m/n/10 (\T1/txtt/m/n/10 Optional[str]\T
1/qtm/m/n/10 ) ^^U Ei-ther \T1/txtt/m/n/10 validation \T1/qtm/m/n/10 or \T1/txt
t/m/n/10 crossValidation
[1026]
Underfull \hbox (badness 10000) in paragraph at lines 108386--108391
[]\T1/qtm/m/n/10 All du-ra-tions should be spec-i-fied with a du-ra-tion string
 such as those re-turned by the

Underfull \hbox (badness 8075) in paragraph at lines 108386--108391
[][]\T1/txtt/m/sl/10 partitioning_methods.construct_duration_string[][] \T1/qtm
/m/n/10 helper method. Please see [][]\T1/qtm/m/it/10 date-time

Underfull \hbox (badness 7133) in paragraph at lines 108403--108406
\T1/qtm/m/n/10 be used to train the model. If spec-i-fied, nei-ther \T1/txtt/m/
n/10 training_duration \T1/qtm/m/n/10 nor
[1027] [1028]
Underfull \hbox (badness 10000) in paragraph at lines 108605--108610
\T1/txtt/bx/n/10 status \T1/qtm/m/n/10 (\T1/txtt/m/n/10 QUEUE_STATUS enum\T1/qt
m/m/n/10 , \T1/qtm/m/it/10 op-tional\T1/qtm/m/n/10 ) ^^U If called with
[1029]
Underfull \hbox (badness 10000) in paragraph at lines 108783--108788
\T1/txtt/bx/n/10 status \T1/qtm/m/n/10 (\T1/txtt/m/n/10 QUEUE_STATUS enum\T1/qt
m/m/n/10 , \T1/qtm/m/it/10 op-tional\T1/qtm/m/n/10 ) ^^U If called with

Underfull \hbox (badness 5345) in paragraph at lines 108783--108788
\T1/qtm/m/n/10 QUEUE_STATUS.INPROGRESS, will re-turn the mod-el-ing jobs that a
re cur-rently

Underfull \hbox (badness 10000) in paragraph at lines 108828--108833
\T1/txtt/bx/n/10 status \T1/qtm/m/n/10 (\T1/txtt/m/n/10 QUEUE_STATUS enum\T1/qt
m/m/n/10 , \T1/qtm/m/it/10 op-tional\T1/qtm/m/n/10 ) ^^U If called with
[1030] [1031] [1032] [1033]
Underfull \hbox (badness 10000) in paragraph at lines 109222--109228
[]\T1/txtt/bx/n/10 fairness_metrics_set \T1/qtm/m/n/10 (\T1/txtt/m/n/10 Optiona
l[str].\T1/qtm/m/n/10 ) ^^U (New in ver-sion v2.24) Met-

Underfull \hbox (badness 10000) in paragraph at lines 109222--109228
\T1/qtm/m/n/10 ric to use for cal-cu-lat-ing fair-ness. Can be one of \T1/txtt/
m/n/10 proportionalParity\T1/qtm/m/n/10 ,

Underfull \hbox (badness 10000) in paragraph at lines 109241--109248
[]\T1/txtt/bx/n/10 bias_mitigation_technique \T1/qtm/m/n/10 (\T1/txtt/m/n/10 Op
tional[str]\T1/qtm/m/n/10 ) ^^U One of

Underfull \hbox (badness 10000) in paragraph at lines 109241--109248
\T1/qtm/m/n/10 datarobot.enums.BiasMitigationTechnique Op-tions: - `\T1/qtm/m/i
t/10 pre-pro-cess-in-gReweigh-ing\T1/qtm/m/n/10 ' -

Underfull \hbox (badness 6876) in paragraph at lines 109241--109248
\T1/qtm/m/n/10 `\T1/qtm/m/it/10 post-Pro-cess-in-gRe-jec-tionOp-tion-Based-Clas
-si-fi-ca-tion\T1/qtm/m/n/10 ' The tech-nique by which we'll

Underfull \hbox (badness 10000) in paragraph at lines 109250--109254
[]\T1/txtt/bx/n/10 include_bias_mitigation_feature_as_predictor_variable
[1034]
Overfull \hbox (3.89389pt too wide) in paragraph at lines 109285--109289
[]\T1/txtt/bx/n/10 number_of_incremental_learning_iterations_before_best_model_
selection
[1035]
Underfull \hbox (badness 10000) in paragraph at lines 109411--109414
[]\T1/txtt/bx/n/10 partitioning_method \T1/qtm/m/n/10 (\T1/txtt/m/n/10 Partitio
ningMethod\T1/qtm/m/n/10 , \T1/qtm/m/it/10 op-tional\T1/qtm/m/n/10 ) ^^U An in-
stance of

Underfull \hbox (badness 10000) in paragraph at lines 109411--109414
\T1/txtt/m/n/10 datarobot.helpers.partitioning_methods.PartitioningMethod \T1/q
tm/m/n/10 that will
[1036] [1037]
Underfull \hbox (badness 10000) in paragraph at lines 109705--109707
[]\T1/txtt/bx/n/10 ValueError \T1/qtm/m/n/10 ^^U If value of \T1/txtt/m/n/10 va
riable_type \T1/qtm/m/n/10 is not from \T1/txtt/m/n/10 datarobot.enums.
[1038] [1039] [1040] [1041]
Underfull \hbox (badness 10000) in paragraph at lines 110206--110213
[]\T1/txtt/bx/n/10 bias_mitigation_technique \T1/qtm/m/n/10 (\T1/txtt/m/n/10 Op
tional[str]\T1/qtm/m/n/10 ) ^^U One of

Underfull \hbox (badness 10000) in paragraph at lines 110206--110213
\T1/qtm/m/n/10 datarobot.enums.BiasMitigationTechnique Op-tions: - `\T1/qtm/m/i
t/10 pre-pro-cess-in-gReweigh-ing\T1/qtm/m/n/10 ' -

Underfull \hbox (badness 6876) in paragraph at lines 110206--110213
\T1/qtm/m/n/10 `\T1/qtm/m/it/10 post-Pro-cess-in-gRe-jec-tionOp-tion-Based-Clas
-si-fi-ca-tion\T1/qtm/m/n/10 ' The tech-nique by which we'll
[1042] [1043]
Underfull \hbox (badness 10000) in paragraph at lines 110413--110419
[]\T1/qtm/m/n/10 This is an al-ter-na-tive to pass-ing a spec-i-fi-ca-tion to [
][]\T1/txtt/m/sl/10 Project.analyze_and_model[][] \T1/qtm/m/n/10 via the

Underfull \hbox (badness 10000) in paragraph at lines 110424--110429
\T1/txtt/bx/n/10 datetime_partition_spec \T1/qtm/m/n/10 ([][]\T1/txtt/m/sl/10 D
atetimePartitioningSpecification[][]\T1/qtm/m/n/10 ) ^^U
[1044] [1045]
Underfull \hbox (badness 6364) in paragraph at lines 110628--110631
[]\T1/txtt/bx/n/10 consider_blenders_in_recommendation \T1/qtm/m/n/10 (\T1/txtt
/m/n/10 Optional[bool]\T1/qtm/m/n/10 ) ^^U (New in ver-sion

Underfull \hbox (badness 10000) in paragraph at lines 110699--110705
[]\T1/txtt/bx/n/10 fairness_metrics_set \T1/qtm/m/n/10 (\T1/txtt/m/n/10 Optiona
l[str].\T1/qtm/m/n/10 ) ^^U (New in ver-sion v2.24) Met-

Underfull \hbox (badness 10000) in paragraph at lines 110699--110705
\T1/qtm/m/n/10 ric to use for cal-cu-lat-ing fair-ness. Can be one of \T1/txtt/
m/n/10 proportionalParity\T1/qtm/m/n/10 ,
[1046]
Underfull \hbox (badness 10000) in paragraph at lines 110718--110725
[]\T1/txtt/bx/n/10 bias_mitigation_technique \T1/qtm/m/n/10 (\T1/txtt/m/n/10 Op
tional[str]\T1/qtm/m/n/10 ) ^^U One of

Underfull \hbox (badness 10000) in paragraph at lines 110718--110725
\T1/qtm/m/n/10 datarobot.enums.BiasMitigationTechnique Op-tions: - `pre-pro-ces
s-in-gReweigh-ing' -

Underfull \hbox (badness 6741) in paragraph at lines 110733--110735
[]\T1/txtt/bx/n/10 default_monotonic_increasing_featurelist_id \T1/qtm/m/n/10 (
\T1/txtt/m/n/10 Optional[str]\T1/qtm/m/n/10 ) ^^U Re-turned

Underfull \hbox (badness 6741) in paragraph at lines 110737--110739
[]\T1/txtt/bx/n/10 default_monotonic_decreasing_featurelist_id \T1/qtm/m/n/10 (
\T1/txtt/m/n/10 Optional[str]\T1/qtm/m/n/10 ) ^^U Re-turned

Underfull \hbox (badness 10000) in paragraph at lines 110782--110786
[]\T1/txtt/bx/n/10 number_of_incremental_learning_iterations_before_best_model_
selection
[1047] [1048] [1049]
Underfull \hbox (badness 10000) in paragraph at lines 111191--111194
[]\T1/qtm/m/n/10 This is the spec-i-fi-ca-tion that should be passed to [][]\T1
/txtt/m/sl/10 Project.analyze_and_model[][] \T1/qtm/m/n/10 via the

Underfull \hbox (badness 10000) in paragraph at lines 111201--111204
[]\T1/qtm/m/n/10 Note that ei-ther (\T1/txtt/m/n/10 holdout_start_date\T1/qtm/m
/n/10 , \T1/txtt/m/n/10 holdout_duration\T1/qtm/m/n/10 ) or (\T1/txtt/m/n/10 ho
ldout_start_date\T1/qtm/m/n/10 ,

Underfull \hbox (badness 10000) in paragraph at lines 111212--111215
[]\T1/txtt/bx/n/10 autopilot_data_selection_method \T1/qtm/m/n/10 (\T1/txtt/m/n
/10 str\T1/qtm/m/n/10 ) ^^U one of \T1/txtt/m/n/10 datarobot.enums.

Underfull \hbox (badness 7133) in paragraph at lines 111212--111215
\T1/txtt/m/n/10 DATETIME_AUTOPILOT_DATA_SELECTION_METHOD\T1/qtm/m/n/10 . Whethe
r mod-els cre-ated by the
[1050] [1051]
Underfull \hbox (badness 6927) in paragraph at lines 111329--111332
[]\T1/txtt/bx/n/10 periodicities \T1/qtm/m/n/10 (\T1/txtt/m/n/10 list \T1/qtm/m
/n/10 of [][]\T1/txtt/m/sl/10 Periodicity[][]\T1/qtm/m/n/10 , \T1/qtm/m/it/10 o
p-tional\T1/qtm/m/n/10 ) ^^U (New in ver-sion v2.9) a
[1052]
Underfull \hbox (badness 10000) in paragraph at lines 111503--111508
[]\T1/qtm/m/n/10 Op-tion 2 (New in ver-sion v2.20): Use \T1/txtt/m/n/10 index\T
1/qtm/m/n/10 , \T1/txtt/m/n/10 primary_training_start_date\T1/qtm/m/n/10 ,
[1053] [1054]
Underfull \hbox (badness 10000) in paragraph at lines 111645--111647
[]\T1/txtt/bx/n/10 time_unit \T1/qtm/m/n/10 (\T1/txtt/m/n/10 string\T1/qtm/m/n/
10 ) ^^U Time step unit, valid op-tions are val-ues from

Underfull \hbox (badness 10000) in paragraph at lines 111724--111727
[]\T1/txtt/bx/n/10 autopilot_data_selection_method \T1/qtm/m/n/10 (\T1/txtt/m/n
/10 str\T1/qtm/m/n/10 ) ^^U one of \T1/txtt/m/n/10 datarobot.enums.

Underfull \hbox (badness 7133) in paragraph at lines 111724--111727
\T1/txtt/m/n/10 DATETIME_AUTOPILOT_DATA_SELECTION_METHOD\T1/qtm/m/n/10 . Whethe
r mod-els cre-ated by the
[1055] [1056]
Underfull \hbox (badness 6927) in paragraph at lines 111897--111900
[]\T1/txtt/bx/n/10 periodicities \T1/qtm/m/n/10 (\T1/txtt/m/n/10 list \T1/qtm/m
/n/10 of [][]\T1/txtt/m/sl/10 Periodicity[][]\T1/qtm/m/n/10 , \T1/qtm/m/it/10 o
p-tional\T1/qtm/m/n/10 ) ^^U (New in ver-sion v2.9) a
[1057] [1058] [1059] [1060] [1061]
Underfull \hbox (badness 10000) in paragraph at lines 112544--112547
[]\T1/qtm/m/n/10 This is the spec-i-fi-ca-tion that should be passed to [][]\T1
/txtt/m/sl/10 Project.analyze_and_model[][] \T1/qtm/m/n/10 via the

Underfull \hbox (badness 10000) in paragraph at lines 112544--112547
\T1/txtt/m/n/10 partitioning_method \T1/qtm/m/n/10 pa-ram-e-ter. To see the ful
l par-ti-tion-ing use [][]\T1/txtt/m/sl/10 DatetimePartitioning.
[1062] [1063]
Underfull \hbox (badness 5741) in paragraph at lines 112763--112771
\T1/qtm/m/n/10 and \T1/txtt/m/n/10 validation_duration\T1/qtm/m/n/10 ). If \T1/
txtt/m/n/10 True\T1/qtm/m/n/10 , will use a start/end date ap-proach for
[1064] [1065] [1066] [1067] [1068] [1069] [1070] [1071] [1072]
Underfull \hbox (badness 10000) in paragraph at lines 114013--114015
[]\T1/txtt/bx/n/10 backtests \T1/qtm/m/n/10 (\T1/txtt/m/n/10 list \T1/qtm/m/n/1
0 of \T1/txtt/m/n/10 dicts containing validation_start_date \T1/qtm/m/n/10 and
[1073] [1074] [1075] [1076]
Underfull \hbox (badness 10000) in paragraph at lines 114406--114409
[]\T1/txtt/m/n/10 code \T1/qtm/m/n/10 : (str) The code for this coun-try; sup-p
ly it to \T1/txtt/m/n/10 CalendarFile.
[1077] [1078] [1079] [1080]
Chapter 47.
[1081]
Underfull \vbox (badness 10000) detected at line 114934
[1082]
Underfull \hbox (badness 10000) in paragraph at lines 115015--115019
[]\T1/txtt/bx/n/10 shap_warnings \T1/qtm/m/n/10 ([][]\T1/txtt/m/sl/10 list[][]\
T1/qtm/m/n/10 ) ^^U (New in ver-sion v2.21) Will

Underfull \hbox (badness 10000) in paragraph at lines 115015--115019
\T1/qtm/m/n/10 be present if \T1/txtt/m/n/10 explanation_algorithm \T1/qtm/m/n/
10 was set to
[1083] [1084] [1085] [1086]
Chapter 48.
[1087] [1088]
Underfull \hbox (badness 7099) in paragraph at lines 115708--115711
[]\T1/txtt/bx/n/10 entity \T1/qtm/m/n/10 (\T1/txtt/m/n/10 Union[UseCaseReferenc
eEntity\T1/qtm/m/n/10 , \T1/txtt/m/n/10 Project\T1/qtm/m/n/10 , \T1/txtt/m/n/10
 Dataset\T1/qtm/m/n/10 , [][]\T1/txtt/m/sl/10 Application[][]\T1/qtm/m/n/10 ,
[1089]
Underfull \hbox (badness 7099) in paragraph at lines 115750--115753
[]\T1/txtt/bx/n/10 entity \T1/qtm/m/n/10 (\T1/txtt/m/n/10 Union[UseCaseReferenc
eEntity\T1/qtm/m/n/10 , \T1/txtt/m/n/10 Project\T1/qtm/m/n/10 , \T1/txtt/m/n/10
 Dataset\T1/qtm/m/n/10 , [][]\T1/txtt/m/sl/10 Application[][]\T1/qtm/m/n/10 ,
[1090] [1091] [1092] [1093] [1094]
Chapter 49.
[1095] [1096] [1097] [1098] [1099] [1100] [1101] [1102] [1103] [1104]
Chapter 50.
[1105] [1106]
Underfull \hbox (badness 8075) in paragraph at lines 117545--117547
[]\T1/qtm/m/n/10 Sched-ules are now flat un-der the pipeline: \T1/txtt/m/n/10 P
ipelines.list_schedules \T1/qtm/m/n/10 and \T1/txtt/m/n/10 Pipelines.

Underfull \hbox (badness 10000) in paragraph at lines 117549--117551
[]\T1/txtt/m/n/10 Pipelines.create_image \T1/qtm/m/n/10 and \T1/txtt/m/n/10 Pip
elines.update_image \T1/qtm/m/n/10 ac-cept \T1/txtt/m/n/10 python_base_image\T1
/qtm/m/n/10 ;

Underfull \hbox (badness 6559) in paragraph at lines 117583--117585
[]\T1/qtm/m/n/10 Fixed the ex-per-i-men-tal pipelines \T1/txtt/m/n/10 list_* \T
1/qtm/m/n/10 meth-ods (\T1/txtt/m/n/10 Pipelines.list\T1/qtm/m/n/10 , \T1/txtt/
m/n/10 Pipelines.list_versions\T1/qtm/m/n/10 ,

Underfull \hbox (badness 6691) in paragraph at lines 117583--117585
\T1/txtt/m/n/10 Pipelines.list_inputs\T1/qtm/m/n/10 , \T1/txtt/m/n/10 Pipelines
.list_runs\T1/qtm/m/n/10 , \T1/txtt/m/n/10 Pipelines.list_schedules\T1/qtm/m/n/
10 , and \T1/txtt/m/n/10 Pipelines.

Underfull \hbox (badness 10000) in paragraph at lines 117591--117593
[]\T1/qtm/m/n/10 Added \T1/txtt/m/n/10 node_id \T1/qtm/m/n/10 sup-port to the e
x-per-i-men-tal pipelines per-task read meth-ods (\T1/txtt/m/n/10 Pipelines.

Underfull \hbox (badness 10000) in paragraph at lines 117591--117593
\T1/txtt/m/n/10 get_task_execution\T1/qtm/m/n/10 , \T1/txtt/m/n/10 Pipelines.ge
t_task_result\T1/qtm/m/n/10 , \T1/txtt/m/n/10 Pipelines.get_task_logs\T1/qtm/m/
n/10 , \T1/txtt/m/n/10 Pipelines.
[1107]
Underfull \hbox (badness 10000) in paragraph at lines 117607--117609
[]\T1/qtm/m/n/10 Added the \T1/txtt/m/n/10 [pipelines] \T1/qtm/m/n/10 in-stall 
ex-tra for \T1/txtt/m/n/10 datarobot[]early[]access\T1/qtm/m/n/10 : \T1/txtt/m/
n/10 pip install

Overfull \hbox (46.20569pt too wide) in paragraph at lines 117653--117655
[]\T1/qtm/m/n/10 Moved [][]\T1/txtt/m/sl/10 CustomScoringMetric[][]\T1/qtm/m/n/
10 , [][]\T1/txtt/m/sl/10 CustomScoringMetricVersion[][]\T1/qtm/m/n/10 , and []
[]\T1/txtt/m/sl/10 CustomScoringMetricVersionFileContents[][]

Underfull \hbox (badness 10000) in paragraph at lines 117690--117692
[]\T1/qtm/m/n/10 Added Mul-ti-l-abel as an op-tion for \T1/txtt/m/n/10 Custom M
odel Target Types <datarobot.enums.
[1108]
Underfull \hbox (badness 10000) in paragraph at lines 117694--117696
[]\T1/qtm/m/n/10 Added [][]\T1/txtt/m/sl/10 CustomScoringMetricVersionFileConte
nts[][] \T1/qtm/m/n/10 and [][]\T1/txtt/m/sl/10 CustomScoringMetricVersion.

Underfull \hbox (badness 7064) in paragraph at lines 117698--117700
[]\T1/qtm/m/n/10 Fixed [][]\T1/txtt/m/sl/10 CustomScoringMetric.list[][] \T1/qt
m/m/n/10 so \T1/txtt/m/n/10 isArchived \T1/qtm/m/n/10 is omit-ted when list-ing
 non-archived met-rics

Underfull \hbox (badness 10000) in paragraph at lines 117727--117729
[]\T1/qtm/m/n/10 Re-named \T1/txtt/m/n/10 PipelineEnvironment \T1/qtm/m/n/10 / 
\T1/txtt/m/n/10 PipelineEnvironmentVersion \T1/qtm/m/n/10 to \T1/txtt/m/n/10 Pi
pelineImage \T1/qtm/m/n/10 /

Underfull \hbox (badness 10000) in paragraph at lines 117727--117729
\T1/txtt/m/n/10 PipelineImageVersion\T1/qtm/m/n/10 , \T1/txtt/m/n/10 PipelineEn
vironmentStatus \T1/qtm/m/n/10 to \T1/txtt/m/n/10 PipelineImageStatus\T1/qtm/m/
n/10 , and field
[1109]
Underfull \hbox (badness 10000) in paragraph at lines 117829--117831
\T1/txtt/m/n/10 share_recipient_type=SHARING_RECIPIENT_TYPE.ORGANIZATION \T1/qt
m/m/n/10 or \T1/txtt/m/n/10 SHARING_RECIPIENT_TYPE.
[1110]
Underfull \hbox (badness 10000) in paragraph at lines 117948--117951
[]\T1/qtm/m/n/10 Ex-tended the project ad-vanced op-tions avail-able when set-t
ing a tar-get to in-clude new pa-

Underfull \hbox (badness 10000) in paragraph at lines 117948--117951
\T1/qtm/m/n/10 ram-e-ter \T1/txtt/bx/n/10 custom_metrics_losses_info \T1/qtm/m/
n/10 (part of the [][]\T1/txtt/m/sl/10 AdvancedOptions[][] \T1/qtm/m/n/10 ob-je
ct; API field
[1111]
Underfull \hbox (badness 10000) in paragraph at lines 117995--117997
[]\T1/qtm/m/n/10 Fixed an is-sue which caused an er-ror when Fea-ture Lists had
 an empty de-scrip-tion in

Underfull \hbox (badness 10000) in paragraph at lines 117999--118001
[]\T1/qtm/m/n/10 Fixed de-se-ri-al-iza-tion of \T1/txtt/m/n/10 ProjectOptions \
T1/qtm/m/n/10 when load-ing project op-tions from the server:

Underfull \hbox (badness 10000) in paragraph at lines 117999--118001
\T1/txtt/m/n/10 feature_engineering_prediction_point\T1/qtm/m/n/10 , \T1/txtt/m
/n/10 user_partition_col\T1/qtm/m/n/10 , and each en-try in
[1112] [1113]
Underfull \hbox (badness 10000) in paragraph at lines 118248--118251
[]\T1/qtm/m/n/10 Added ini-tial sup-port for DataRobot file sys-tem and Files A
PI with fsspec im-ple-men-ta-tion
[1114]
Underfull \hbox (badness 10000) in paragraph at lines 118325--118328
[]\T1/qtm/m/n/10 Added sup-port for ex-ter-nal OAuth provider cre-den-tials, in
-clud-ing the new \T1/txtt/m/n/10 CredentialTypes.

Underfull \hbox (badness 10000) in paragraph at lines 118325--118328
\T1/txtt/m/n/10 EXTERNAL_OAUTH_PROVIDER \T1/qtm/m/n/10 enum value and the cre-a
tion helper \T1/txtt/m/n/10 Credential.
[1115]
Underfull \hbox (badness 10000) in paragraph at lines 118444--118446
[]\T1/qtm/m/n/10 Up-dated [][]\T1/txtt/m/sl/10 MetricInsights.list[][] \T1/qtm/
m/n/10 to add ad-di-tional pa-ram-e-ters \T1/txtt/m/n/10 with_aggregation_types
_only\T1/qtm/m/n/10 ,

Underfull \hbox (badness 7081) in paragraph at lines 118460--118462
[]\T1/qtm/m/n/10 Made \T1/txtt/m/n/10 variables \T1/qtm/m/n/10 pa-ram-e-ter op-
tional in [][]\T1/txtt/m/sl/10 PromptTemplateVersion.create[][] \T1/qtm/m/n/10 
and [][]\T1/txtt/m/sl/10 PromptTemplate.
[1116]
Underfull \hbox (badness 10000) in paragraph at lines 118548--118550
[]\T1/qtm/m/n/10 Im-proved doc-u-men-ta-tion for recipe cre-ation meth-ods [][]
\T1/txtt/m/sl/10 Recipe.from_dataset[][] \T1/qtm/m/n/10 and [][]\T1/txtt/m/sl/1
0 Recipe.

Underfull \hbox (badness 10000) in paragraph at lines 118552--118554
[]\T1/qtm/m/n/10 Im-proved doc-u-men-ta-tion for the recipe in-put wrap-per cla
sses [][]\T1/txtt/m/sl/10 RecipeDatasetInput[][] \T1/qtm/m/n/10 and
[1117]
Underfull \hbox (badness 8038) in paragraph at lines 118644--118646
[]\T1/qtm/m/n/10 Up-dated \T1/txtt/m/n/10 CustomTemplate.list \T1/qtm/m/n/10 to
 ac-cept ad-di-tional pa-ram-e-ters for \T1/txtt/m/n/10 publisher\T1/qtm/m/n/10
 , \T1/txtt/m/n/10 category\T1/qtm/m/n/10 , and

Underfull \hbox (badness 10000) in paragraph at lines 118680--118682
[]\T1/qtm/m/n/10 Added op-tional pa-ram-e-ters \T1/txtt/m/n/10 retrieval_mode \
T1/qtm/m/n/10 and \T1/txtt/m/n/10 maximal_marginal_relevance_lambda \T1/qtm/m/n
/10 to
[1118]
Underfull \hbox (badness 10000) in paragraph at lines 118779--118781
[]\T1/qtm/m/n/10 Added op-tional pa-ram-e-ters \T1/txtt/m/n/10 vector_database_
default_prediction_server_id\T1/qtm/m/n/10 ,

Underfull \hbox (badness 10000) in paragraph at lines 118779--118781
\T1/txtt/m/n/10 vector_database_prediction_environment_id\T1/qtm/m/n/10 , \T1/t
xtt/m/n/10 vector_database_maximum_memory\T1/qtm/m/n/10 ,

Underfull \hbox (badness 10000) in paragraph at lines 118779--118781
\T1/txtt/m/n/10 vector_database_resource_bundle_id\T1/qtm/m/n/10 , \T1/txtt/m/n
/10 vector_database_replicas\T1/qtm/m/n/10 , and

Underfull \hbox (badness 10000) in paragraph at lines 118779--118781
\T1/txtt/m/n/10 vector_database_network_egress_policy \T1/qtm/m/n/10 to [][]\T1
/txtt/m/sl/10 LLMBlueprint.register_custom_model[][] \T1/qtm/m/n/10 to al-low
[1119] [1120]
Overfull \hbox (1.74904pt too wide) in paragraph at lines 118926--118928
[]\T1/qtm/m/n/10 Added op-tional pa-ram-e-ter \T1/txtt/m/n/10 chunk_definition_
id \T1/qtm/m/n/10 in [][]\T1/txtt/m/sl/10 Model.start_incremental_learning_from
_sample[][]

Underfull \hbox (badness 10000) in paragraph at lines 118975--118977
[]\T1/qtm/m/n/10 Ex-tended [][]\T1/txtt/m/sl/10 VectorDatabase.create[][] \T1/q
tm/m/n/10 to sup-port an ad-di-tional meta-data dataset via in-put params
[1121]
Underfull \hbox (badness 10000) in paragraph at lines 119012--119014
[]\T1/qtm/m/n/10 Fixed [][]\T1/txtt/m/sl/10 PlaygroundOOTBMetricConfiguration.c
reate[][] \T1/qtm/m/n/10 by us-ing the right pay-load for
[1122]
Underfull \hbox (badness 10000) in paragraph at lines 119187--119189
[]\T1/qtm/m/n/10 Added new at-tributes \T1/txtt/m/n/10 prediction_point\T1/qtm/
m/n/10 , \T1/txtt/m/n/10 relationships_configuration_id \T1/qtm/m/n/10 and

Underfull \hbox (badness 10000) in paragraph at lines 119235--119237
[]\T1/qtm/m/n/10 Ex-tended the ad-vanced op-tions avail-able when set-ting a ta
r-get to in-clude pa-ram-e-ter: `fea-
[1123]
Underfull \hbox (badness 10000) in paragraph at lines 119247--119250
[]\T1/qtm/m/n/10 Added \T1/txtt/m/n/10 NonChatAwareCustomModelValidation \T1/qt
m/m/n/10 as the base class for

Underfull \hbox (badness 7777) in paragraph at lines 119247--119250
[][]\T1/txtt/m/sl/10 CustomModelVectorDatabaseValidation[][] \T1/qtm/m/n/10 and
 [][]\T1/txtt/m/sl/10 CustomModelEmbeddingValidation[][]\T1/qtm/m/n/10 . In con
-trast,

Underfull \hbox (badness 10000) in paragraph at lines 119252--119254
[]\T1/qtm/m/n/10 Added op-tional pa-ram-e-ter \T1/txtt/m/n/10 chat_model_id \T1
/qtm/m/n/10 to [][]\T1/txtt/m/sl/10 CustomModelLLMValidation.create[][] \T1/qtm
/m/n/10 and

Underfull \hbox (badness 10000) in paragraph at lines 119322--119324
[]\T1/qtm/m/n/10 Fixed a Use Case query pa-ram-e-ter name in \T1/txtt/m/n/10 Cu
stomModelLLMValidation.list\T1/qtm/m/n/10 ,
[1124]
Underfull \hbox (badness 10000) in paragraph at lines 119335--119337
[]\T1/qtm/m/n/10 Method [][]\T1/txtt/m/sl/10 CustomModelLLMValidation.create[][
] \T1/qtm/m/n/10 no longer re-quires the \T1/txtt/m/n/10 prompt_column_name \T1
/qtm/m/n/10 and
[1125] [1126] [1127]
Underfull \hbox (badness 10000) in paragraph at lines 119747--119750
[]\T1/qtm/m/n/10 Add new at-tributes to [][]\T1/txtt/m/sl/10 VectorDatabase[][]
\T1/qtm/m/n/10 : \T1/txtt/m/n/10 parent_id\T1/qtm/m/n/10 , \T1/txtt/m/n/10 fami
ly_id\T1/qtm/m/n/10 , \T1/txtt/m/n/10 metadata_columns\T1/qtm/m/n/10 ,

Underfull \hbox (badness 10000) in paragraph at lines 119813--119815
[]\T1/qtm/m/n/10 Up-dated the schema for [][]\T1/txtt/m/sl/10 EvaluationDataset
MetricAggregation[][] \T1/qtm/m/n/10 to in-clude the new at-tributes
[1128]
Underfull \hbox (badness 10000) in paragraph at lines 119891--119893
[]\T1/qtm/m/n/10 Added the pa-ram-e-ter \T1/txtt/m/n/10 base_path \T1/qtm/m/n/1
0 to [][]\T1/txtt/m/sl/10 get_encoded_file_contents_from_paths[][] \T1/qtm/m/n/
10 and

Underfull \hbox (badness 10000) in paragraph at lines 119900--119907
[]\T1/qtm/m/n/10 Fixed field in [][]\T1/txtt/m/sl/10 CustomTaskVersion[][] \T1/
qtm/m/n/10 for con-trol-ling net-work poli-cies. This is changed from

Underfull \hbox (badness 10000) in paragraph at lines 119927--119929
[]\T1/qtm/m/n/10 Dep-re-cated [][]\T1/txtt/m/sl/10 Model.request_fairness_insig
hts[][]\T1/qtm/m/n/10 . Please use [][]\T1/txtt/m/sl/10 Model.
[1129]
Underfull \hbox (badness 10000) in paragraph at lines 119947--119949
[]\T1/qtm/m/n/10 Re-named \T1/txtt/m/n/10 datarobot.enums.CustomTaskOutgoingNet
workPolicy \T1/qtm/m/n/10 to [][]\T1/txtt/m/sl/10 datarobot.enums.

Overfull \hbox (27.38004pt too wide) in paragraph at lines 120009--120011
[]\T1/qtm/m/n/10 Up-dated the de-scrip-tion for the pa-ram-e-ter: `num-ber_of_i
ncremental_learning_iterations_before_best_model_selection'
[1130]
Underfull \hbox (badness 10000) in paragraph at lines 120072--120075
[]\T1/txtt/m/n/10 datarobot._experimental.models.time_series_wrangling_template
.user_flow_template
[1131]
Underfull \hbox (badness 10000) in paragraph at lines 120243--120246
[]\T1/qtm/m/n/10 Added a new class \T1/txtt/m/n/10 SyntheticEvaluationDataset \
T1/qtm/m/n/10 for syn-thetic dataset gen-er-a-tion. Use
[1132]
Underfull \hbox (badness 10000) in paragraph at lines 120373--120375
[]\T1/qtm/m/n/10 Added a new pa-ram-e-ter \T1/txtt/m/n/10 entity_type \T1/qtm/m
/n/10 to the \T1/txtt/m/n/10 compute \T1/qtm/m/n/10 and \T1/txtt/m/n/10 create 
\T1/qtm/m/n/10 meth-ods of the classes
[1133]
Underfull \hbox (badness 10000) in paragraph at lines 120512--120516
[]\T1/qtm/m/n/10 Ex-tended the ad-vanced op-tions avail-able when set-ting a ta
r-get to in-clude new pa-ram-e-ter:
[1134]
Underfull \hbox (badness 10000) in paragraph at lines 120592--120594
[][][]\T1/txtt/m/sl/10 RuntimeParameterValue[][] \T1/qtm/m/n/10 to de-fine run-
time pa-ram-e-ter over-ride value, to be as-signed to
[1135]
Underfull \hbox (badness 10000) in paragraph at lines 120667--120670
[]\T1/qtm/m/n/10 Added new pa-ram-e-ter \T1/txtt/m/n/10 prediction_threshold \T
1/qtm/m/n/10 to [][]\T1/txtt/m/sl/10 BatchPredictionJob.

Underfull \hbox (badness 7344) in paragraph at lines 120667--120670
\T1/txtt/m/sl/10 score_with_leaderboard_model[][] \T1/qtm/m/n/10 and [][]\T1/tx
tt/m/sl/10 BatchPredictionJob.score[][] \T1/qtm/m/n/10 that au-to-mat-i-cally a
s-signs the

Underfull \hbox (badness 10000) in paragraph at lines 120739--120741
[]\T1/qtm/m/n/10 Added new enum value to \T1/txtt/m/n/10 datarobot.enums.TARGET
_TYPE \T1/qtm/m/n/10 and \T1/txtt/m/n/10 datarobot.enums.
[1136]
Underfull \hbox (badness 10000) in paragraph at lines 120899--120901
[]\T1/qtm/m/n/10 Added a new pa-ram-e-ter \T1/txtt/m/n/10 base_environment_vers
ion_id \T1/qtm/m/n/10 to [][]\T1/txtt/m/sl/10 CustomModelVersion.
[1137] [1138] [1139]
Underfull \hbox (badness 10000) in paragraph at lines 121254--121256
[]\T1/qtm/m/n/10 Added new meth-ods to the class \T1/txtt/m/n/10 Notebook \T1/q
tm/m/n/10 which in-cludes \T1/txtt/m/n/10 Notebook.run \T1/qtm/m/n/10 and \T1/t
xtt/m/n/10 Notebook.
[1140] [1141]
Underfull \hbox (badness 10000) in paragraph at lines 121481--121483
\T1/qtm/m/n/10 All in-ter-ac-tions with \T1/txtt/m/n/10 Project.advanced_option
s \T1/qtm/m/n/10 should be ex-pected to be through the
[1142] [1143] [1144] [1145]
Underfull \hbox (badness 10000) in paragraph at lines 121938--121940
[]\T1/qtm/m/n/10 If the user con-fig-ures the client via \T1/txtt/m/n/10 Client
(...)\T1/qtm/m/n/10 , then in-voke \T1/txtt/m/n/10 Client(...,

Underfull \hbox (badness 10000) in paragraph at lines 121942--121944
[]\T1/qtm/m/n/10 If the user con-fig-ures the client via dr.config.yaml, then a
dd the prop-erty

Underfull \hbox (badness 10000) in paragraph at lines 121946--121948
[]\T1/qtm/m/n/10 If the user con-fig-ures the client via env vars, then set the
 env var
[1146]
Underfull \hbox (badness 10000) in paragraph at lines 122121--122123
[]\T1/qtm/m/n/10 Added new method for re-triev-ing all avail-able fea-ture im-p
acts for the model [][]\T1/txtt/m/sl/10 Model.

Underfull \hbox (badness 10000) in paragraph at lines 122145--122147
\T1/txtt/m/sl/10 PredictionExplanations.get_all_as_dataframe()[][] \T1/qtm/m/n/
10 and [][]\T1/txtt/m/sl/10 datarobot.PredictionExplanations.
[1147] [1148]
Underfull \hbox (badness 10000) in paragraph at lines 122274--122277
[]\T1/txtt/m/n/10 DatetimeModel.get_feature_fit_metadata() \T1/qtm/m/n/10 has b
een re-moved. Use [][]\T1/txtt/m/sl/10 DatetimeModel.

Underfull \hbox (badness 10000) in paragraph at lines 122284--122287
[]\T1/txtt/m/n/10 DatetimeModel.request_feature_fit \T1/qtm/m/n/10 has been re-
moved. Use [][]\T1/txtt/m/sl/10 DatetimeModel.

Underfull \hbox (badness 10000) in paragraph at lines 122299--122302
[]\T1/txtt/m/n/10 Model.get_or_request_feature_fit \T1/qtm/m/n/10 has been re-m
oved. Use [][]\T1/txtt/m/sl/10 Model.

Underfull \hbox (badness 10000) in paragraph at lines 122304--122307
[]\T1/txtt/m/n/10 DatetimeModel.get_or_request_feature_fit \T1/qtm/m/n/10 has b
een re-moved. Use [][]\T1/txtt/m/sl/10 DatetimeModel.
[1149]
Underfull \hbox (badness 10000) in paragraph at lines 122466--122470
[]\T1/qtm/m/n/10 Added new meth-ods [][]\T1/txtt/m/sl/10 BatchPredictionJob.app
ly_time_series_data_prep_and_score[][] \T1/qtm/m/n/10 and

Underfull \hbox (badness 7221) in paragraph at lines 122466--122470
[][]\T1/txtt/m/sl/10 BatchPredictionJob.apply_time_series_data_prep_and_score_t
o_file[][] \T1/qtm/m/n/10 that ap-ply time se-ries

Underfull \hbox (badness 10000) in paragraph at lines 122472--122477
[]\T1/qtm/m/n/10 Added new meth-ods [][]\T1/txtt/m/sl/10 DataEngineQueryGenerat
or.prepare_prediction_dataset[][] \T1/qtm/m/n/10 and

Underfull \hbox (badness 7308) in paragraph at lines 122472--122477
[][]\T1/txtt/m/sl/10 DataEngineQueryGenerator.prepare_prediction_dataset_from_c
atalog[][] \T1/qtm/m/n/10 that ap-ply time se-ries
[1150]
Underfull \hbox (badness 10000) in paragraph at lines 122582--122584
[]\T1/qtm/m/n/10 Up-date the doc-u-men-ta-tion to sug-gest that set-ting \T1/tx
tt/m/n/10 use_backtest_start_end_format \T1/qtm/m/n/10 of
[1151] [1152] [1153]
Underfull \hbox (badness 10000) in paragraph at lines 122867--122870
[]\T1/qtm/m/n/10 Added sup-port for cre-at-ing mono-tonic fea-ture lists for ti
me se-ries projects. Set

Underfull \hbox (badness 10000) in paragraph at lines 122872--122874
[]\T1/qtm/m/n/10 Added in-for-ma-tion about ver-tex to ad-vanced tun-ing pa-ram
-e-ters [][]\T1/txtt/m/sl/10 datarobot.models.Model.

Underfull \hbox (badness 10000) in paragraph at lines 122955--122957
[][][]\T1/txtt/m/sl/10 CustomModelVersion[][]\T1/qtm/m/n/10 's \T1/txtt/m/n/10 
required_metadata \T1/qtm/m/n/10 pa-ram-e-ter has been re-moved. Use

Underfull \hbox (badness 10000) in paragraph at lines 122959--122961
[][][]\T1/txtt/m/sl/10 CustomTaskVersion[][]\T1/qtm/m/n/10 's \T1/txtt/m/n/10 r
equired_metadata \T1/qtm/m/n/10 pa-ram-e-ter has been re-moved. Use
[1154]
Underfull \hbox (badness 6364) in paragraph at lines 122991--122993
[]\T1/qtm/m/n/10 The [][]\T1/txtt/m/sl/10 Deployment[][] \T1/qtm/m/n/10 method 
\T1/txtt/m/n/10 create_from_custom_model_image \T1/qtm/m/n/10 was re-moved. Use
 [][]\T1/txtt/m/sl/10 Deployment.
[1155]
Underfull \hbox (badness 10000) in paragraph at lines 123114--123121
[]\T1/qtm/m/n/10 Added sup-port to pass cal-cu-la-tion mode to pre-dic-tion ex-
pla-na-tions (\T1/txtt/m/n/10 mode \T1/qtm/m/n/10 pa-ram-e-ter in

Underfull \hbox (badness 10000) in paragraph at lines 123114--123121
[][]\T1/txtt/m/sl/10 PredictionExplanations.create[][]\T1/qtm/m/n/10 ) as well 
as batch scor-ing (\T1/txtt/m/n/10 explanations_mode \T1/qtm/m/n/10 in
[1156]
Underfull \hbox (badness 10000) in paragraph at lines 123314--123316
[]\T1/qtm/m/n/10 Up-date the doc-u-men-ta-tion to sug-gest that \T1/txtt/m/n/10
 feature_derivation_window_end \T1/qtm/m/n/10 of [][]\T1/txtt/m/sl/10 datarobot
.

Underfull \hbox (badness 10000) in paragraph at lines 123332--123335
[]\T1/qtm/m/n/10 Added the abil-ity to turn off su-per-vised fea-ture re-duc-ti
on for Time Se-ries projects. Op-tion
[1157] [1158]
Underfull \hbox (badness 10000) in paragraph at lines 123584--123587
[]\T1/qtm/m/n/10 Dep-re-cat-ing sca-le-out pa-ram-e-ters for projects / mod-els
. In-cludes \T1/txtt/m/n/10 scaleout_modeling_mode\T1/qtm/m/n/10 ,
[1159]
Underfull \hbox (badness 6268) in paragraph at lines 123685--123688
[]\T1/qtm/m/n/10 Added the abil-ity to up-load a pre-dic-tion dataset into a pr
oject from the AI cat-a-log [][]\T1/txtt/m/sl/10 Project.

Underfull \hbox (badness 10000) in paragraph at lines 123720--123724
[]\T1/qtm/m/n/10 Added the abil-ity to con-trol class map-ping ag-gre-ga-tion i
n mul-ti-class projects via
[1160]
Underfull \hbox (badness 10000) in paragraph at lines 123730--123738
[]\T1/qtm/m/n/10 Added the abil-ity to com-pute and re-trieve Fea-ture Ef-fects
 for a Mul-ti-class model us-

Underfull \hbox (badness 10000) in paragraph at lines 123730--123738
\T1/qtm/m/n/10 ing [][]\T1/txtt/m/sl/10 datarobot.models.Model.request_feature_
effects_multiclass()[][]\T1/qtm/m/n/10 , [][]\T1/txtt/m/sl/10 datarobot.

Underfull \hbox (badness 10000) in paragraph at lines 123730--123738
\T1/txtt/m/sl/10 models.Model.get_feature_effects_multiclass()[][] \T1/qtm/m/n/
10 or [][]\T1/txtt/m/sl/10 datarobot.models.Model.

Underfull \hbox (badness 10000) in paragraph at lines 123730--123738
\T1/txtt/m/sl/10 get_or_request_feature_effects_multiclass()[][] \T1/qtm/m/n/10
 meth-ods. For date-time mod-els use fol-low-

Underfull \hbox (badness 10000) in paragraph at lines 123730--123738
\T1/qtm/m/n/10 ing meth-ods [][]\T1/txtt/m/sl/10 datarobot.models.DatetimeModel
.request_feature_effects_multiclass()[][]\T1/qtm/m/n/10 ,

Underfull \hbox (badness 10000) in paragraph at lines 123730--123738
[][]\T1/txtt/m/sl/10 datarobot.models.DatetimeModel.get_feature_effects_multicl
ass()[][] \T1/qtm/m/n/10 or [][]\T1/txtt/m/sl/10 datarobot.models.
[1161]
Underfull \hbox (badness 10000) in paragraph at lines 123880--123883
[]\T1/qtm/m/n/10 Fix [][]\T1/txtt/m/sl/10 datarobot.CustomTaskVersion[][] \T1/q
tm/m/n/10 and [][]\T1/txtt/m/sl/10 datarobot.CustomModelVersion[][] \T1/qtm/m/n
/10 to cor-rectly for-mat

Underfull \hbox (badness 10000) in paragraph at lines 123956--123959
[]\T1/qtm/m/n/10 Added the abil-ity to re-quest a spe-cific model be pre-pared 
for de-ploy-ment us-ing [][]\T1/txtt/m/sl/10 Project.
[1162] [1163]
Underfull \hbox (badness 10000) in paragraph at lines 124201--124204
[]\T1/qtm/m/n/10 The \T1/txtt/m/n/10 required_metadata \T1/qtm/m/n/10 prop-erty
 of [][]\T1/txtt/m/sl/10 datarobot.CustomModelVersion[][] \T1/qtm/m/n/10 has be
en dep-re-cated.

Underfull \hbox (badness 10000) in paragraph at lines 124206--124209
[]\T1/qtm/m/n/10 The \T1/txtt/m/n/10 required_metadata \T1/qtm/m/n/10 prop-erty
 of [][]\T1/txtt/m/sl/10 datarobot.CustomTaskVersion[][] \T1/qtm/m/n/10 has bee
n dep-re-cated.
[1164]
Underfull \hbox (badness 7907) in paragraph at lines 124377--124382
[]\T1/qtm/m/n/10 Sup-port for Batch Pre-dic-tion Job Def-i-ni-tions has now bee
n added through the fol-low-ing class:
[1165]
Underfull \hbox (badness 10000) in paragraph at lines 124419--124422
[]\T1/qtm/m/n/10 Added method to down-load fea-ture dis-cov-ery recipe SQLs (li
m-ited beta fea-ture). [][]\T1/txtt/m/sl/10 Project.

Underfull \hbox (badness 10000) in paragraph at lines 124495--124500
[]\T1/qtm/m/n/10 Par-tial his-tory pre-dic-tions can be made with time se-ries 
time se-ries mul-ti-series mod-els us-

Underfull \hbox (badness 10000) in paragraph at lines 124495--124500
\T1/qtm/m/n/10 ing the \T1/txtt/m/n/10 allow_partial_history_time_series_predic
tions \T1/qtm/m/n/10 at-tribute of the [][]\T1/txtt/m/sl/10 datarobot.
[1166]
Underfull \hbox (badness 10000) in paragraph at lines 124520--124528
[][]\T1/txtt/m/sl/10 PairwiseJointProbabilities[][] \T1/qtm/m/n/10 and [][]\T1/
txtt/m/sl/10 PairwiseConditionalProbabilities[][] \T1/qtm/m/n/10 or [][]\T1/txt
t/m/sl/10 Feature.

Underfull \hbox (badness 10000) in paragraph at lines 124520--124528
\T1/txtt/m/sl/10 get_pairwise_correlations[][]\T1/qtm/m/n/10 , [][]\T1/txtt/m/s
l/10 Feature.get_pairwise_joint_probabilities[][] \T1/qtm/m/n/10 and [][]\T1/tx
tt/m/sl/10 Feature.

Underfull \hbox (badness 10000) in paragraph at lines 124596--124599
[]\T1/qtm/m/n/10 Sup-port for down-load-ing fea-ture dis-cov-ery train-ing or p
re-dic-tion dataset us-ing [][]\T1/txtt/m/sl/10 Project.

Underfull \hbox (badness 10000) in paragraph at lines 124601--124607
[]\T1/qtm/m/n/10 Added [][]\T1/txtt/m/sl/10 datarobot.models.FeatureAssociation
Matrix[][]\T1/qtm/m/n/10 , [][]\T1/txtt/m/sl/10 datarobot.models.

Underfull \hbox (badness 10000) in paragraph at lines 124601--124607
\T1/txtt/m/sl/10 FeatureAssociationMatrixDetails[][] \T1/qtm/m/n/10 and [][]\T1
/txtt/m/sl/10 datarobot.models.FeatureAssociationFeaturelists[][]
[1167]
Underfull \hbox (badness 10000) in paragraph at lines 124631--124638
[]\T1/qtm/m/n/10 Re-move \T1/txtt/m/n/10 desired_memory \T1/qtm/m/n/10 param fr
om the fol-low-ing meth-ods: [][]\T1/txtt/m/sl/10 CustomInferenceModel.

Underfull \hbox (badness 10000) in paragraph at lines 124631--124638
\T1/txtt/m/sl/10 create[][]\T1/qtm/m/n/10 , [][]\T1/txtt/m/sl/10 CustomModelVer
sion.create_clean[][]\T1/qtm/m/n/10 , [][]\T1/txtt/m/sl/10 CustomModelVersion.c
reate_from_previous[][]\T1/qtm/m/n/10 ,
[1168]
Underfull \hbox (badness 8170) in paragraph at lines 124767--124770
[]\T1/qtm/m/n/10 Fea-ture dis-cov-ery projects can now be cre-ated us-ing the [
][]\T1/txtt/m/sl/10 Project.start[][] \T1/qtm/m/n/10 method by pro-vid-ing

Underfull \hbox (badness 10000) in paragraph at lines 124772--124775
\T1/txtt/m/sl/10 get[][] \T1/qtm/m/n/10 Cor-re-spond-ing fea-ture lin-eage id i
s avail-able as a new [][]\T1/txtt/m/sl/10 datarobot.models.Feature[][] \T1/qtm
/m/n/10 field
[1169]
Underfull \hbox (badness 10000) in paragraph at lines 124855--124860
[]\T1/qtm/m/n/10 New \T1/txtt/m/n/10 sampling_method \T1/qtm/m/n/10 param in []
[]\T1/txtt/m/sl/10 Model.train_datetime[][]\T1/qtm/m/n/10 , [][]\T1/txtt/m/sl/1
0 Project.train_datetime[][]\T1/qtm/m/n/10 , [][]\T1/txtt/m/sl/10 Model.

Underfull \hbox (badness 10000) in paragraph at lines 124880--124882
[]\T1/qtm/m/n/10 Class \T1/txtt/m/n/10 FeatureEngineeringGraph \T1/qtm/m/n/10 h
as been re-moved. Use [][]\T1/txtt/m/sl/10 datarobot.models.

Underfull \hbox (badness 10000) in paragraph at lines 124959--124963
[]\T1/qtm/m/n/10 Added sup-port for Cus-tom Model De-pen-dency Man-age-ment. Pl
ease see :ref:\T1/txtt/m/n/10 custom model
[1170]
Underfull \hbox (badness 10000) in paragraph at lines 125002--125005
[]\T1/qtm/m/n/10 Added a new method to trig-ger Fea-ture Im-pact cal-cu-la-tion
 for a Cus-tom In-fer-ence Im-age:
[1171]
Underfull \hbox (badness 10000) in paragraph at lines 125145--125154
[]\T1/qtm/m/n/10 Added new ar-gu-ments \T1/txtt/m/n/10 explanation_algorithm \T
1/qtm/m/n/10 and \T1/txtt/m/n/10 max_explanations \T1/qtm/m/n/10 to method [][]
\T1/txtt/m/sl/10 Model.

Underfull \hbox (badness 10000) in paragraph at lines 125156--125163
[]\T1/qtm/m/n/10 Added new ar-gu-ments \T1/txtt/m/n/10 explanation_algorithm \T
1/qtm/m/n/10 and \T1/txtt/m/n/10 max_explanations \T1/qtm/m/n/10 to method [][]
\T1/txtt/m/sl/10 Model.
[1172] [1173]
Underfull \hbox (badness 10000) in paragraph at lines 125347--125351
[]\T1/qtm/m/n/10 Batch Pre-dic-tion jobs now sup-port scor-ing to Azure and Goo
gle Cloud Stor-age with meth-ods

Underfull \hbox (badness 8132) in paragraph at lines 125385--125390
[]\T1/qtm/m/n/10 These meth-ods now pro-vide ad-di-tional meta-data fields in F
ea-ture Im-pact re-sults if called with

Underfull \hbox (badness 10000) in paragraph at lines 125405--125409
[]\T1/qtm/m/n/10 Sec-ondary dataset con-fig-u-ra-tion re-trieve and dele-tion i
s eas-ier now though new

Underfull \hbox (badness 10000) in paragraph at lines 125405--125409
[][]\T1/txtt/m/sl/10 SecondaryDatasetConfigurations.delete[][] \T1/qtm/m/n/10 s
oft deletes a Sec-ondary dataset con-fig-u-ra-tion.

Underfull \hbox (badness 10000) in paragraph at lines 125429--125431
[]\T1/qtm/m/n/10 Batch Pre-dic-tion jobs that used other out-put types than \T1
/txtt/m/n/10 local_file \T1/qtm/m/n/10 failed when us-ing \T1/txtt/m/n/10 .
[1174] [1175]
Underfull \hbox (badness 10000) in paragraph at lines 125673--125677
[]\T1/qtm/m/n/10 A new boolean at-tribute \T1/txtt/m/n/10 unsupervised_mode \T1
/qtm/m/n/10 was added to [][]\T1/txtt/m/sl/10 datarobot.
[1176]
Underfull \hbox (badness 10000) in paragraph at lines 125746--125748
[]\T1/qtm/m/n/10 Time se-ries model de-ploy-ments now sup-port pre-dic-tion in-
ter-vals. See

Underfull \hbox (badness 10000) in paragraph at lines 125746--125748
[][]\T1/txtt/m/sl/10 Deployment.get_prediction_intervals_settings[][] \T1/qtm/m
/n/10 and [][]\T1/txtt/m/sl/10 Deployment.

Overfull \hbox (7.70421pt too wide) in paragraph at lines 125779--125781
[]\T1/qtm/m/n/10 Re-gres-sion de-ploy-ments now sup-port :ref:\T1/txtt/m/n/10 p
rediction warnings<deployment_prediction_warning>\T1/qtm/m/n/10 . 

Underfull \hbox (badness 10000) in paragraph at lines 125799--125802
[]\T1/qtm/m/n/10 It's now pos-si-ble to get fea-ture as-so-ci-a-tion sta-tuses 
for fea-turelists us-ing [][]\T1/txtt/m/sl/10 Project.
[1177]
Underfull \hbox (badness 7925) in paragraph at lines 125836--125838
[]\T1/qtm/m/n/10 Method [][]\T1/txtt/m/sl/10 Project.set_target[][] \T1/qtm/m/n
/10 sup-port new op-tional pa-ram-e-ters \T1/txtt/m/n/10 featureEngineeringGrap
hs \T1/qtm/m/n/10 and

Underfull \hbox (badness 10000) in paragraph at lines 125844--125849
[]\T1/qtm/m/n/10 Se-ries ac-cu-racy re-trieval meth-ods ([][]\T1/txtt/m/sl/10 D
atetimeModel.get_series_accuracy_as_dataframe[][] \T1/qtm/m/n/10 and
[1178]
Underfull \hbox (badness 10000) in paragraph at lines 125935--125937
[]\T1/qtm/m/n/10 Mono-tonic con-straints are now sup-ported for OTV projects. T
o that end, the pa-ram-e-ters

Underfull \hbox (badness 10000) in paragraph at lines 125935--125937
\T1/txtt/m/n/10 monotonic_increasing_featurelist_id \T1/qtm/m/n/10 and \T1/txtt
/m/n/10 monotonic_decreasing_featurelist_id \T1/qtm/m/n/10 can be
[1179]
Underfull \hbox (badness 7451) in paragraph at lines 126024--126027
[]\T1/qtm/m/n/10 When [][]\T1/txtt/m/sl/10 specifying datetime partitioning[][]
 \T1/qtm/m/n/10 set-tings , :ref:\T1/txtt/m/n/10 time series <time_series> \T1/
qtm/m/n/10 projects

Underfull \hbox (badness 10000) in paragraph at lines 126024--126027
\T1/txtt/m/sl/10 do_not_derive[][] \T1/qtm/m/n/10 at-tribute. Any fea-tures not
 spec-i-fied will be as-signed ac-cord-ing to the
[1180] [1181]
Underfull \hbox (badness 10000) in paragraph at lines 126231--126240
[]\T1/qtm/m/n/10 Pre-vi-ously avail-able for only Eu-reqa mod-els, Ad-vanced Tu
n-ing meth-ods and ob-jects, in-clud-ing

Underfull \hbox (badness 10000) in paragraph at lines 126231--126240
[][]\T1/txtt/m/sl/10 Model.start_advanced_tuning_session[][]\T1/qtm/m/n/10 , []
[]\T1/txtt/m/sl/10 Model.get_advanced_tuning_parameters[][]\T1/qtm/m/n/10 , [][
]\T1/txtt/m/sl/10 Model.

Underfull \hbox (badness 10000) in paragraph at lines 126270--126272
[][][]\T1/txtt/m/sl/10 Project.upload_dataset[][] \T1/qtm/m/n/10 and [][]\T1/tx
tt/m/sl/10 Project.upload_dataset_from_data_source[][] \T1/qtm/m/n/10 will re-t
urn a
[1182]
Underfull \hbox (badness 10000) in paragraph at lines 126392--126395
[]\T1/qtm/m/n/10 New class for work-ing with model com-pli-ance doc-u-men-ta-ti
on fea-ture of DataRobot: class

Underfull \hbox (badness 10000) in paragraph at lines 126411--126416
[]\T1/qtm/m/n/10 Cross se-ries fea-tures can now be cre-ated within time se-rie
s mul-ti-series projects us-ing

Underfull \hbox (badness 10000) in paragraph at lines 126411--126416
\T1/qtm/m/n/10 the \T1/txtt/m/n/10 use_cross_series_features \T1/qtm/m/n/10 and
 \T1/txtt/m/n/10 aggregation_type \T1/qtm/m/n/10 at-tributes of the [][]\T1/txt
t/m/sl/10 datarobot.
[1183]
Underfull \hbox (badness 10000) in paragraph at lines 126442--126446
[]\T1/qtm/m/n/10 New \T1/txtt/m/n/10 number_of_known_in_advance_features \T1/qt
m/m/n/10 at-tribute has been added to the [][]\T1/txtt/m/sl/10 datarobot.

Underfull \hbox (badness 10000) in paragraph at lines 126535--126543
[]\T1/qtm/m/n/10 New meth-ods and ob-jects, in-clud-ing [][]\T1/txtt/m/sl/10 Mo
del.start_advanced_tuning_session[][]\T1/qtm/m/n/10 , [][]\T1/txtt/m/sl/10 Mode
l.

Underfull \hbox (badness 7504) in paragraph at lines 126535--126543
\T1/txtt/m/sl/10 get_advanced_tuning_parameters[][]\T1/qtm/m/n/10 , [][]\T1/txt
t/m/sl/10 Model.advanced_tune[][]\T1/qtm/m/n/10 , and [][]\T1/txtt/m/sl/10 Adva
ncedTuningSession[][]\T1/qtm/m/n/10 , were
[1184]
Underfull \hbox (badness 10000) in paragraph at lines 126558--126561
[]\T1/qtm/m/n/10 A cus-tom pre-dic-tion thresh-old may now be con-fig-ured for 
each model via [][]\T1/txtt/m/sl/10 Model.

Underfull \hbox (badness 10000) in paragraph at lines 126568--126570
[]\T1/qtm/m/n/10 In-di-vid-ual cross val-i-da-tion scores can be re-trieved for
 new mod-els us-ing [][]\T1/txtt/m/sl/10 Model.

Underfull \hbox (badness 10000) in paragraph at lines 126610--126614
[][][]\T1/txtt/m/sl/10 ModelRecommendation.get[][] \T1/qtm/m/n/10 now ac-cepts 
an op-tional pa-ram-e-ter of type \T1/txtt/m/n/10 datarobot.enums.
[1185]
Underfull \hbox (badness 10000) in paragraph at lines 126727--126731
[]\T1/qtm/m/n/10 Added a new fea-ture to re-trieve fea-ture logs for time se-ri
es projects. Check [][]\T1/txtt/m/sl/10 datarobot.

Underfull \hbox (badness 10000) in paragraph at lines 126727--126731
\T1/txtt/m/sl/10 DatetimePartitioning.feature_log_list()[][] \T1/qtm/m/n/10 and
 [][]\T1/txtt/m/sl/10 datarobot.DatetimePartitioning.

Underfull \hbox (badness 10000) in paragraph at lines 126747--126751
[]\T1/qtm/m/n/10 New pa-ram-e-ters \T1/txtt/m/n/10 predictions_start_date \T1/q
tm/m/n/10 and \T1/txtt/m/n/10 predictions_end_date \T1/qtm/m/n/10 added to [][]
\T1/txtt/m/sl/10 Project.
[1186]
Underfull \hbox (badness 5302) in paragraph at lines 126773--126777
\T1/qtm/m/n/10 re-cated and will be re-moved in 2.14. Use [][]\T1/txtt/m/sl/10 
datarobot.DatetimePartitioningSpecification.
[1187] [1188]
Underfull \hbox (badness 10000) in paragraph at lines 127047--127050
[]\T1/qtm/m/n/10 Lift chart data for mod-els can be re-trieved us-ing the \T1/t
xtt/m/n/10 Model.get_lift_chart \T1/qtm/m/n/10 and \T1/txtt/m/n/10 Model.
[1189] [1190]
Underfull \hbox (badness 10000) in paragraph at lines 127240--127242
[]\T1/qtm/m/n/10 When call-ing \T1/txtt/m/n/10 get_result \T1/qtm/m/n/10 for a 
Job, Mod-elJob, or Pre-dic-tJob that has er-rored,
[1191]
Underfull \hbox (badness 10000) in paragraph at lines 127344--127348
[]\T1/qtm/m/n/10 (Only rel-e-vant for on-premise users with a Stan-dalone Scor-
ing clus-ter.) Meth-ods
[1192]
Underfull \hbox (badness 6268) in paragraph at lines 127459--127463
[]\T1/qtm/m/n/10 A new im-proved work-flow for pre-dic-tions now sup-ports firs
t up-load-ing a dataset via \T1/txtt/m/n/10 Project.
[1193] [1194]
Underfull \hbox (badness 10000) in paragraph at lines 127595--127597
[]\T1/txtt/m/n/10 PredictJob.create \T1/qtm/m/n/10 has been dep-re-cated in fa-
vor of the al-ter-nate work-flow us-ing \T1/txtt/m/n/10 Model.
[1195] [1196] [1197]
Underfull \hbox (badness 6016) in paragraph at lines 127938--127942
[]\T1/qtm/m/n/10 In sev-eral places where \T1/txtt/m/n/10 AppPlatformError \T1/
qtm/m/n/10 was be-ing raised, now \T1/txtt/m/n/10 TypeError\T1/qtm/m/n/10 , \T1
/txtt/m/n/10 ValueError \T1/qtm/m/n/10 or

Underfull \hbox (badness 10000) in paragraph at lines 127958--127963
[]\T1/qtm/m/n/10 If a \T1/txtt/m/n/10 ClientError \T1/qtm/m/n/10 or \T1/txtt/m/
n/10 ServerError \T1/qtm/m/n/10 oc-curs dur-ing a call to \T1/txtt/m/n/10 Proje
ct.from_async\T1/qtm/m/n/10 , then a

Underfull \hbox (badness 10000) in paragraph at lines 128029--128032
[]\T1/txtt/m/n/10 recommendation_settings \T1/qtm/m/n/10 pa-ram-e-ter of \T1/tx
tt/m/n/10 Project.start \T1/qtm/m/n/10 is dep-re-cated in fa-vor of
[1198] [1199] [1200] [1201] [1202] (./datarobot-public-api-client.ind [1203]
[1204] [1205]
Underfull \hbox (badness 10000) in paragraph at lines 85--87
[]\T1/txtt/m/n/10 assign_environment() \T1/qtm/m/n/10 (\T1/qtm/m/it/10 datarobo
t.models.notebooks.execution_environment.ExecutionEnvironment class

Underfull \hbox (badness 5548) in paragraph at lines 131--133
[]\T1/txtt/m/n/10 bucket_sample_sizes \T1/qtm/m/n/10 (\T1/qtm/m/it/10 datarobot
.models.deployment.custom_metrics.CustomMetricValuesOverBatch prop-erty\T1/qtm/
m/n/10 ),

Underfull \hbox (badness 10000) in paragraph at lines 133--135
[]\T1/txtt/m/n/10 bucket_sample_sizes \T1/qtm/m/n/10 (\T1/qtm/m/it/10 datarobot
.models.deployment.custom_metrics.CustomMetricValuesOverTime prop-erty\T1/qtm/m
/n/10 ),
[1206] [1207]
Underfull \hbox (badness 10000) in paragraph at lines 297--299
[]\T1/txtt/m/n/10 continue_incremental_learning_from_incremental_model() \T1/qt
m/m/n/10 (\T1/qtm/m/it/10 datarobot.models.BlenderModel method\T1/qtm/m/n/10 ),


Underfull \hbox (badness 10000) in paragraph at lines 305--307
[]\T1/txtt/m/n/10 continue_incremental_learning_from_incremental_model() \T1/qt
m/m/n/10 (\T1/qtm/m/it/10 datarobot.models.RatingTableModel
[1208]
Underfull \hbox (badness 10000) in paragraph at lines 387--389
[]\T1/txtt/m/n/10 create() \T1/qtm/m/n/10 (\T1/qtm/m/it/10 datarobot.models.gen
ai.evaluation_dataset_configuration.EvaluationDatasetConfiguration class

Underfull \hbox (badness 10000) in paragraph at lines 389--391
[]\T1/txtt/m/n/10 create() \T1/qtm/m/n/10 (\T1/qtm/m/it/10 datarobot.models.gen
ai.evaluation_dataset_metric_aggregation.EvaluationDatasetMetricAggregation
[1209]
Underfull \hbox (badness 10000) in paragraph at lines 411--413
[]\T1/txtt/m/n/10 create() \T1/qtm/m/n/10 (\T1/qtm/m/it/10 datarobot.models.gen
ai.synthetic_evaluation_dataset_generation.SyntheticEvaluationDataset class

Underfull \hbox (badness 5077) in paragraph at lines 448--450
[]\T1/txtt/m/n/10 create() \T1/qtm/m/n/10 (\T1/qtm/m/it/10 datarobot.models.use
r_mcp_server_deployment.PromptInUserMCPServerDeployment class method\T1/qtm/m/n
/10 ),
[1210] [1211] [1212] [1213]
Underfull \hbox (badness 10000) in paragraph at lines 812--814
[]\T1/txtt/m/n/10 delete() \T1/qtm/m/n/10 (\T1/qtm/m/it/10 datarobot.models.gen
ai.evaluation_dataset_metric_aggregation.EvaluationDatasetMetricAggregation

Underfull \hbox (badness 10000) in paragraph at lines 820--822
[]\T1/txtt/m/n/10 delete() \T1/qtm/m/n/10 (\T1/qtm/m/it/10 datarobot.models.gen
ai.openai_embedding_model_validation.OpenAIEmbeddingModelValidation
[1214] [1215] [1216]
Overfull \hbox (6.44446pt too wide) in paragraph at lines 1009--1011
[]\T1/txtt/m/n/10 EvaluationDatasetMetricAggregation \T1/qtm/m/n/10 (\T1/qtm/m/
it/10 class in datarobot.models.genai.evaluation_dataset_metric_aggregation\T1/
qtm/m/n/10 ),
[1217]
Underfull \hbox (badness 10000) in paragraph at lines 1106--1108
[]\T1/txtt/m/n/10 find_anomalous_regions() \T1/qtm/m/n/10 (\T1/qtm/m/it/10 data
robot.models.anomaly_assessment.AnomalyAssessmentPredictionsPreview

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[]\T1/txtt/m/n/10 from_data() \T1/qtm/m/n/10 (\T1/qtm/m/it/10 datarobot.models.
user_mcp_server_deployment.ResourceInUserMCPServerDeployment class
[1218]
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[]\T1/txtt/m/n/10 from_server_data() \T1/qtm/m/n/10 (\T1/qtm/m/it/10 datarobot.
models.user_mcp_server_deployment.ResourceInUserMCPServerDeployment

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models.user_mcp_server_deployment.ToolInUserMCPServerDeployment class

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models.user_mcp_server_version.PromptInUserMCPServerVersion class

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models.user_mcp_server_version.ResourceInUserMCPServerVersion class
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[]\T1/txtt/m/n/10 get() \T1/qtm/m/n/10 (\T1/qtm/m/it/10 datarobot.models.genai.
openai_embedding_model_validation.OpenAIEmbeddingModelValidation class
[1221] [1222] [1223]
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[]\T1/txtt/m/n/10 get_buckets_as_dataframe() \T1/qtm/m/n/10 (\T1/qtm/m/it/10 da
tarobot.models.deployment.custom_metrics.CustomMetricValuesOverBatch

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[]\T1/txtt/m/n/10 get_buckets_as_dataframe() \T1/qtm/m/n/10 (\T1/qtm/m/it/10 da
tarobot.models.deployment.custom_metrics.CustomMetricValuesOverTime
[1224]
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[]\T1/txtt/m/n/10 get_document_page_with_text_locations() \T1/qtm/m/n/10 (\T1/q
tm/m/it/10 datarobot.models.documentai.document.DocumentTextExtractionSamplePag
e

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[]\T1/txtt/m/n/10 get_explanations_data_in_regions() \T1/qtm/m/n/10 (\T1/qtm/m/
it/10 datarobot.models.anomaly_assessment.AnomalyAssessmentRecord
[1225] [1226] [1227] [1228] [1229]
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[]\T1/txtt/m/n/10 get_supported_retrieval_settings() \T1/qtm/m/n/10 (\T1/qtm/m/
it/10 datarobot.models.genai.vector_database.VectorDatabase class
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[]\T1/txtt/m/n/10 is_model_compliance_initialized \T1/qtm/m/n/10 (\T1/qtm/m/it/
10 datarobot.models.automated_documentation.AutomatedDocument prop-
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[]\T1/txtt/m/n/10 list() \T1/qtm/m/n/10 (\T1/qtm/m/it/10 datarobot.models.genai
.openai_embedding_model_validation.OpenAIEmbeddingModelValidation class
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[]\T1/txtt/m/n/10 list() \T1/qtm/m/n/10 (\T1/qtm/m/it/10 datarobot.models.user_
mcp_server_deployment.ResourceInUserMCPServerDeployment class method\T1/qtm/m/n
/10 ),

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/it/10 datarobot.models.automated_documentation.AutomatedDocument

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[]\T1/txtt/m/n/10 list_available_document_types() \T1/qtm/m/n/10 (\T1/qtm/m/it/
10 datarobot.models.automated_documentation.AutomatedDocument class
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[]\T1/txtt/m/n/10 new_custom_model_version_with_config() \T1/qtm/m/n/10 (\T1/qt
m/m/it/10 datarobot.models.moderation.model_version_update.ModelVersionUpdate
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[]\T1/txtt/m/n/10 update() \T1/qtm/m/n/10 (\T1/qtm/m/it/10 datarobot.models.gen
ai.openai_embedding_model_validation.OpenAIEmbeddingModelValidation
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[]\T1/txtt/m/n/10 validate_task_parameters() \T1/qtm/m/n/10 (\T1/qtm/m/it/10 da
tarobot.models.user_blueprints.models.UserBlueprintValidateTaskParameters
[1249]) [1250] (./datarobot-public-api-client.aux) )
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Output written on datarobot-public-api-client.pdf (1258 pages, 5189794 bytes).
Transcript written on datarobot-public-api-client.log.
Latexmk: Index file 'datarobot-public-api-client.idx' was written
Latexmk: Log file says output to 'datarobot-public-api-client.pdf'
Latexmk: Examining 'datarobot-public-api-client.log'
=== TeX engine is 'pdfTeX'
Latexmk: Errors, in force_mode: so I tried finishing targets
Collected error summary (may duplicate other messages):
  pdflatex: Command for 'pdflatex' gave return code 1
      Refer to 'datarobot-public-api-client.log' for details