Read the Docs build information
Build id: 4156753
Project: datarobot-public-api-client
Version: early-access
Commit: b1bf731fe1fe441a1fbeac6907145db489b9aaa2
Date: 2026-06-29T17:40:39.656681Z
State: finished
Success: True


[rtd-command-info] start-time: 2026-06-29T17:40:40.398579Z, end-time: 2026-06-29T17:40:43.907958Z, 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: 2026-06-29T17:40:43.997454Z, end-time: 2026-06-29T17:40:47.157815Z, duration: 3, 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]         v3.16.0rc0 -> v3.16.0rc0
 * [new tag]         v3.17.0rc0 -> v3.17.0rc0
 * [new tag]         v3.17.0rc1 -> v3.17.0rc1

[rtd-command-info] start-time: 2026-06-29T17:40:48.242958Z, end-time: 2026-06-29T17:40:48.842777Z, duration: 0, exit-code: 0
git checkout --force b1bf731fe1fe441a1fbeac6907145db489b9aaa2
Note: switching to 'b1bf731fe1fe441a1fbeac6907145db489b9aaa2'.

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 b1bf731 [DM-21571] Drop deprecated methods related to Paxata connectors. (#4103)

[rtd-command-info] start-time: 2026-06-29T17:40:48.931500Z, end-time: 2026-06-29T17:40:48.971435Z, 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: 2026-06-29T17:40:54.356894Z, end-time: 2026-06-29T17:40:54.409770Z, duration: 0, exit-code: 0
asdf global python 3.11.14


[rtd-command-info] start-time: 2026-06-29T17:40:54.750377Z, end-time: 2026-06-29T17:40:55.342764Z, duration: 0, exit-code: 0
python -mvirtualenv $READTHEDOCS_VIRTUALENV_PATH
created virtual environment CPython3.11.14.final.0-64 in 368ms
  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: 2026-06-29T17:40:55.440280Z, end-time: 2026-06-29T17:40:59.813379Z, duration: 4, 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
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      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-26.1.2 setuptools-82.0.1

[rtd-command-info] start-time: 2026-06-29T17:40:59.902391Z, end-time: 2026-06-29T17:41:04.139329Z, 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-2.20.0 alabaster-1.0.0 babel-2.18.0 certifi-2026.6.17 charset_normalizer-3.4.7 docutils-0.22.4 idna-3.18 imagesize-2.0.0 packaging-26.2 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: 2026-06-29T17:41:04.239791Z, end-time: 2026-06-29T17:41:44.383361Z, duration: 40, 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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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: webencodings, 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, fastjsonschema, websocket-client, webcolors, wcwidth, vermin, uri-template, tzdata, typing-extensions, types-requests, traitlets, tornado, toolz, tomli, tinycss2, 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, fsspec, fqdn, executing, docutils, defusedxml, decorator, debugpy, coverage, comm, click, bleach, attrs, async-lru, asttokens, annotated-types, typing-inspection, terminado, stack_data, 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, 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
  Attempting uninstall: docutils
    Found existing installation: docutils 0.22.4
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  Attempting uninstall: Sphinx
    Found existing installation: Sphinx 9.0.4
    Uninstalling Sphinx-9.0.4:
      Successfully uninstalled Sphinx-9.0.4

Successfully installed Pillow-10.4.0 Sphinx-8.2.3 annotated-types-0.7.0 anyio-4.14.1 application-file-scanner-0.6.4 application-properties-0.9.3 argon2-cffi-25.1.0 argon2-cffi-bindings-25.1.0 arrow-1.4.0 asttokens-3.0.1 async-lru-2.3.0 attrs-26.1.0 authlib-1.7.2 beautifulsoup4-4.15.0 bleach-6.4.0 cffi-2.0.0 click-8.4.2 columnar-1.4.1 comm-0.2.3 coverage-7.14.3 cryptography-49.0.0 databricks-connect-16.1.7 databricks-sdk-0.119.0 datarobot-3.17.0rc1 debugpy-1.8.21 decorator-5.3.1 defusedxml-0.7.1 docutils-0.21.2 executing-2.2.1 fastjsonschema-2.21.2 fqdn-1.5.1 fsspec-2026.6.0 google-auth-2.55.1 googleapis-common-protos-1.75.0 grpcio-1.81.1 grpcio-status-1.81.1 h11-0.16.0 httpcore-1.0.9 httpx-0.28.1 iniconfig-2.3.0 ipykernel-7.3.0 ipython-9.15.0 ipython-pygments-lexers-1.1.1 ipython_genutils-0.2.0 isoduration-20.11.0 jedi-0.20.0 joserfc-1.7.2 json5-0.15.0 jsonpointer-3.1.1 jsonschema-4.26.0 jsonschema-specifications-2025.9.1 jupyter-builder-1.0.2 jupyter-client-8.9.1 jupyter-core-5.9.1 jupyter-events-0.12.1 jupyter-lsp-2.3.1 jupyter-server-2.20.0 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-4.6.1 jupyterlab-pygments-0.3.0 jupyterlab-server-2.28.0 lark-1.3.1 lxml-6.1.1 markdown-it-py-3.0.0 matplotlib-inline-0.2.2 mdit-py-plugins-0.6.1 mdurl-0.1.2 mistune-3.3.2 mypy-1.16.0 mypy_extensions-1.1.0 myst-parser-4.0.0 nbclient-0.11.0 nbconvert-7.17.1 nbformat-5.10.4 nbsphinx-0.9.8 nest-asyncio2-1.7.2 notebook-7.6.0 notebook-shim-0.2.4 numpy-1.26.4 overrides-7.7.0 pandas-3.0.3 pandocfilters-1.5.1 parso-0.8.7 pathspec-1.1.1 pexpect-4.9.0 platformdirs-4.10.0 pluggy-1.6.0 prometheus-client-0.25.0 prompt_toolkit-3.0.52 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-24.0.0 pyasn1-0.6.3 pyasn1-modules-0.4.2 pycparser-3.0 pydantic-2.13.4 pydantic-core-2.46.4 pydantic-settings-2.14.2 pyenchant-3.2.2 pyjson5-2.0.1 pymarkdownlnt-0.9.38 pytest-8.3.5 pytest-asyncio-0.21.1 pytest-cov-7.1.0 python-dateutil-2.9.0.post0 python-dotenv-1.2.2 python-json-logger-4.1.0 pytz-2026.2 pyyaml-6.0.3 pyzmq-27.1.0 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-2026.5.1 ruff-0.15.20 send2trash-2.1.0 six-1.17.0 sly-0.5 soupsieve-2.8.4 sphinx-autodoc-typehints-3.5.2 sphinx-copybutton-0.5.2 sphinx-external-toc-1.1.0 sphinx-markdown-builder-0.6.10 sphinx-multitoc-numbering-0.1.3 sphinx_rtd_theme-3.1.0 sphinxcontrib-jquery-4.1 sphinxcontrib-spelling-8.0.2 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-6.5.7 trafaret-2.1.1 traitlets-5.15.1 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-4.15.0 typing-inspection-0.4.2 tzdata-2026.2 uri-template-1.3.0 vermin-1.8.0 wcwidth-0.8.1 webcolors-25.10.0 webencodings-0.5.1 websocket-client-1.9.0

[rtd-command-info] start-time: 2026-06-29T17:41:44.546060Z, end-time: 2026-06-29T17:41:44.586714Z, 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 = {
    "exclude-members": "__init__, schema, __new__, __init_subclass__",
}

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.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: 2026-06-29T17:41:44.673252Z, end-time: 2026-06-29T17:42:35.093869Z, duration: 50, 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={'colon_fence', 'html_admonition', 'fieldlist', 'attrs_inline', 'dollarmath', 'amsmath', 'deflist', 'html_image', 'replacements', 'smartquotes', 'substitution', 'strikethrough', 'tasklist'}, 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 89 source files that are out of date
updating environment: [new config] 89 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... [ 15%] 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%] data-connectivity
reading sources... [ 21%] data-exploration
reading sources... [ 22%] data-registry
reading sources... [ 24%] data-wrangling
reading sources... [ 25%] datarobot-models
reading sources... [ 26%] deployment-management
reading sources... [ 27%] errors
reading sources... [ 28%] features
reading sources... [ 29%] file-system
reading sources... [ 30%] gen-llm-generation
reading sources... [ 31%] gen-moderation
reading sources... [ 33%] gen-prompting
reading sources... [ 34%] gen-syftr-search
reading sources... [ 35%] gen-testing
reading sources... [ 36%] gen-vector-databases
reading sources... [ 37%] index
reading sources... [ 38%] insights
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reading sources... [ 46%] reference/admin/credentials
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dumping search index in English (code: en)... done
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build succeeded.

The HTML pages are in ../_readthedocs/html.

[rtd-command-info] start-time: 2026-06-29T17:42:35.173681Z, end-time: 2026-06-29T17:43:06.369027Z, duration: 31, 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
Initializing Spelling Checker 8.0.2
making output directory... done
loading pickled environment... The configuration has changed (5 options: 'html_permalinks_icon', 'html_static_path', 'jquery_use_sri', 'nbsphinx_requirejs_options', 'nbsphinx_requirejs_path')
done
myst v4.0.0: MdParserConfig(commonmark_only=False, gfm_only=False, enable_extensions={'tasklist', 'html_admonition', 'smartquotes', 'amsmath', 'attrs_inline', 'replacements', 'colon_fence', 'fieldlist', 'strikethrough', 'deflist', 'substitution', 'dollarmath', 'html_image'}, 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
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Writing evaluated template result to /home/docs/checkouts/readthedocs.org/user_builds/datarobot-public-api-client/checkouts/early-access/_readthedocs/pdf/Makefile
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Writing evaluated template result to /home/docs/checkouts/readthedocs.org/user_builds/datarobot-public-api-client/checkouts/early-access/_readthedocs/pdf/latexmkrc
done
copying assets: done
processing DataRobotPython_3.17.0rc1_Docs.tex... 
index
 reference/index
 reference/data/index
  reference/data/dataset
  reference/data/database_connectivity
  reference/data/feature_discovery
 reference/modeling/index
  reference/modeling/project
  reference/modeling/model
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  reference/modeling/insights/index
   reference/modeling/insights/automated_documentation
   reference/modeling/insights/external_testset
   reference/modeling/insights/model_performance_insights
   reference/modeling/insights/prediction_explanations
   reference/modeling/insights/rating_table
   reference/modeling/insights/shap_insights
  reference/modeling/spec/index
   reference/modeling/spec/binary_data
   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-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
  training_predictions
  use-cases
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    CHANGES

resolving references...
processing DataRobotPython_3.17.0rc1_Docs.tex: done
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Writing evaluated template result to /home/docs/checkouts/readthedocs.org/user_builds/datarobot-public-api-client/checkouts/early-access/_readthedocs/pdf/sphinxmessages.sty
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: 2026-06-29T17:43:06.912779Z, end-time: 2026-06-29T17:43:06.950225Z, 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: 2026-06-29T17:43:07.045436Z, end-time: 2026-06-29T17:43:42.172203Z, duration: 35, exit-code: 0
latexmk -r latexmkrc -pdf -f -dvi- -ps- -jobname=datarobot-public-api-client -interaction=nonstopmode
Use of uninitialized value in concatenation (.) or string at (eval 10) line 1.
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Subroutine makeglo redefined at (eval 11) line 7.
Use of uninitialized value in concatenation (.) or string at (eval 11) line 1.
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Rc files read:
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Latexmk: This is Latexmk, John Collins, 20 November 2021, version: 4.76.
Rule 'pdflatex': File changes, etc:
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------------
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Running 'pdflatex   -interaction=nonstopmode -recorder --jobname="datarobot-public-api-client"  "DataRobotPython_3.17.0rc1_Docs.tex"'
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! Critical Package xeCJK Error: The xeCJK package requires XeTeX to function.
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(xeCJK)                         Loading xeCJK will abort!

Type <return> to continue.
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Chapter 1.

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Chapter 2.

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Chapter 3.

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Chapter 6.

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Chapter 7.
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Chapter 9.
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Chapter 11.

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Chapter 13.

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Chapter 17.

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Chapter 18.

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Chapter 24.

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Chapter 28.

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Chapter 32.

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[863] [864]
Chapter 38.
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Chapter 39.

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ta_slice_id=

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<datarobot.

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.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,
[869] [870]
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ghts.

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[871] [872] [873]
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Chapter 46.
[1057]
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Chapter 47.
[1063]

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Chapter 48.

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Chapter 49.

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[1171] [1172] [1173] [1174]

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Chapter 1.

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[][][]\T1/qtm/m/it/10 Ad-min-is-tra-
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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/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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l.3792     ├── data.csv
                             

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[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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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
[69] [70] [71]

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l.4790 ...gment\PYGZus{}id}\PYG{l+s+s2}{\PYGZdq{}}
                                                  

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l.4790 ...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
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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
[89] [90] [91] [92] [93] [94] [95]

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l.6672     ├── american\PYGZus{}bulldog
                                             

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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]
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Chapter 4.
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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.
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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 is de-fined,

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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
[125]
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[126]
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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
[127] [128]
Chapter 5.
[129] [130] [131] [132] [133] [134] [135] [136] [137] [138] [139] [140]
[141] [142] [143]
Underfull \hbox (badness 10000) in paragraph at lines 9809--9813
\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.
[144] [145] [146] [147] [148] [149] [150] [151]
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[152] [153] [154]
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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
[155] [156]
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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
[157] [158] [159] [160] [161] [162] [163] [164]
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[165]
Underfull \hbox (badness 10000) in paragraph at lines 11316--11319
[]\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
[166] [167] [168]
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[169] [170] [171] [172] [173] [174] [175] [176] [177] [178] [179] [180]
[181]
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[182] [183] [184]
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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.
[185] [186] [187]
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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
[188] [189] [190] [191] [192] [193] [194] [195] [196]
Chapter 6.
[197] [198] [199] [200] [201] [202] [203] [204] [205] [206]
Chapter 7.
[207] [208] [209] [210]
Underfull \hbox (badness 10000) in paragraph at lines 14165--14168
[]\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
[211] [212]
Chapter 8.
[213] [214] [215] [216]
Chapter 9.
[217] [218]
Chapter 10.
[219] [220]
Chapter 11.
[221] [222] [223] [224]
Chapter 12.
[225] [226]
Chapter 13.
[227] [228] [229] [230] [231] [232] [233]
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[234] [235] [236]
Chapter 14.
[237] [238] [239] [240] [241] [242] [243]
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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.:
[244]
Underfull \hbox (badness 10000) in paragraph at lines 17236--17239
[]\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.:

Underfull \hbox (badness 10000) in paragraph at lines 17241--17244
[]\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.:
[245]
Underfull \hbox (badness 10000) in paragraph at lines 17421--17423
[]\T1/qtm/m/n/10 par-ti-tion : sub-set of train-ing data to score, one of \T1/t
xtt/m/n/10 datarobot.enums.
[246] [247] [248] [249] [250] [251] [252] [253] [254] [255]
Underfull \hbox (badness 10000) in paragraph at lines 18455--18457
\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 !=
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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 , 
[261]
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\T1/qtm/m/it/10 tinue_on_error=False\T1/qtm/m/n/10 , 
[262] [263] [264]
Chapter 16.
[265] [266] [267]
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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 ,
[268] [269] [270] [271]
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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 )
[272]
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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 ,
[273]
Underfull \hbox (badness 10000) in paragraph at lines 20542--20544
[]\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 ,

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[]\T1/txtt/bx/n/10 limit \T1/qtm/m/n/10 (\T1/txtt/m/n/10 int\T1/qtm/m/n/10 , \T
1/txtt/m/n/10 Optional. (default\T1/qtm/m/n/10 : \T1/txtt/m/n/10 0)\T1/qtm/m/n/
10 , \T1/txtt/m/n/10 at most this many results are
[274]
Underfull \hbox (badness 10000) in paragraph at lines 20694--20697
[]\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 The list of
[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 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

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[]\T1/txtt/bx/n/10 limit \T1/qtm/m/n/10 (\T1/txtt/m/n/10 int\T1/qtm/m/n/10 , \T
1/txtt/m/n/10 Optional. (default\T1/qtm/m/n/10 : \T1/txtt/m/n/10 0)\T1/qtm/m/n/
10 , \T1/txtt/m/n/10 at most this many results are
[277] [278] [279]
Underfull \hbox (badness 10000) in paragraph at lines 21399--21404
[]\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-tions

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\T1/qtm/m/n/10 should be cal-i-brated to be be-tween 0 and 1 by DR. if None, us
es de-fault
[280] [281] [282] [283] [284] [285] [286] [287] [288] [289] [290] [291]
[292] [293] [294]
Chapter 17.
[295] [296] [297] [298]
Chapter 18.
[299]
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[300]
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[301] [302]
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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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[303] [304] [305] [306] [307] [308]
Chapter 19.
[309] [310] [311] [312] [313] [314] [315] [316]
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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
[317] [318]
Chapter 20.
[319] [320] [321]
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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
[322] [323] [324] [325]
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[326] [327] [328] [329] [330] [331] [332] [333]
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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 )
[334]
Underfull \hbox (badness 10000) in paragraph at lines 27274--27280
\T1/qtm/m/n/10 Cre-ate a hosted cus-tom met-ric from a tem-plate. A short-cut f
or 2 calls:
[335] [336] [337] [338] [339] [340]
Chapter 21.

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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 ,
[341]
Underfull \hbox (badness 10000) in paragraph at lines 28000--28003
[]\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
[342]
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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 ] 
[343]
Underfull \hbox (badness 10000) in paragraph at lines 28230--28233
[]\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 28244--28247
[]\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
[344]
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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
[345] [346]
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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 type of the im-age, 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 28625--28630
\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 ,
[347]
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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 ,
[348] [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 ,
[350]
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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 ^^Pbase_environ
ment_id^^Q and

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[]\T1/txtt/bx/n/10 files \T1/qtm/m/n/10 (\T1/txtt/m/n/10 Optional[List]\T1/qtm/
m/n/10 ) ^^U The list of tu-ples, where val-ues in each

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\T1/qtm/m/n/10 tu-ple are the lo-cal filesys-tem path and the path the file sho
uld be

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\T1/qtm/m/n/10 placed in the model. If the list is of strings, then base-names 
will be

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\T1/qtm/m/n/10 used for tu-ples. Ex-am-ple: [(^^P/home/user/Documents/myModel/f
ile1.txt^^Q,

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\T1/qtm/m/n/10 ^^Pfile1.txt^^Q), (^^P/home/user/Documents/myModel/folder/file2.
txt^^Q,

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\T1/qtm/m/n/10 ^^Pfolder/file2.txt^^Q)] or [^^P/home/user/Documents/myModel/fil
e1.txt^^Q,

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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 ,
[351] [352] [353]
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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 ^^Pbase_environ
ment_id^^Q and

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[]\T1/txtt/bx/n/10 files \T1/qtm/m/n/10 (\T1/txtt/m/n/10 Optional[List]\T1/qtm/
m/n/10 ) ^^U The list of tu-ples, where val-ues in each

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\T1/qtm/m/n/10 tu-ple are the lo-cal filesys-tem path and the path the file sho
uld be

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\T1/qtm/m/n/10 placed in the model. If list is of strings, then base-names will
 be

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\T1/qtm/m/n/10 used for tu-ples Ex-am-ple: [(^^P/home/user/Documents/myModel/fi
le1.txt^^Q,

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\T1/qtm/m/n/10 ^^Pfile1.txt^^Q), (^^P/home/user/Documents/myModel/folder/file2.
txt^^Q,

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\T1/qtm/m/n/10 ^^Pfolder/file2.txt^^Q)] or [^^P/home/user/Documents/myModel/fil
e1.txt^^Q,

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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/qtm/m/n/10 Trans-fer ac-cess to the ex-e-cu-tion en-vi-ron-ment from [][]
old_user@datarobot.com[][] to
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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 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
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Chapter 22.
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Chapter 23.
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Chapter 24.
[381]
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[]\T1/txtt/bx/n/10 database_driver \T1/qtm/m/n/10 (\T1/txtt/m/n/10 str\T1/qtm/m
/n/10 ) ^^U Op-tional. Spec-ify when typ is \T1/qtm/m/it/10 DataDriver-
[382] [383] [384] [385]
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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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[]\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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Chapter 25.
[397] [398] [399] [400] [401] [402]
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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-
[403] [404]
Chapter 26.
[405] [406] [407] [408] [409] [410] [411] [412] [413] [414]
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\T1/qtm/m/n/10 GIVEN _ NAME / SCHEMA . TABLE _ NAME$[][]' - `[][]$jdbc : DATA _
 SOURCE _ GIVEN _
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Chapter 27.
[431]
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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
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(/usr/share/texlive/texmf-dist/tex/latex/fontawesome5/ufontawesomefree2.fd)
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[449] [450] [451] [452]
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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 28.
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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
[473]
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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
[474] [475]
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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 42656--42659
\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
[476]
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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
[482] [483] [484] [485]
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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
[486]
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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
[487] [488] [489]
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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
[493]
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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 44877--44880
\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/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
[504]
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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
[505] [506]
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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 ,

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\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
[512]
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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
[513] [514] [515]
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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
[516] [517] [518]
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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 source \T1/qtm/m/n/10 (\T1/txtt/m/n/10 str\T1/qtm/m/n/10 ) ^
^U Con-fu-sion chart source. Check
[531]
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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
[532] [533]
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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 ,

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\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
[534]
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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
[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
[540] [541] [542]
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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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[][]\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/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
[551]
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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
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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/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/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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[570]
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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
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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
[580]
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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/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 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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[][]\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/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
[591]
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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
[592] [593] [594] [595] [596] [597] [598] [599] [600] [601] [602]
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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
[603] [604]
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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
[605]
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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 ,
[606]
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\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
[607] [608] [609] [610] [611]
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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
[612] [613] [614] [615]
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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
[616] [617]
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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
[618] [619] [620]
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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
[621] [622] [623]
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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

Underfull \hbox (badness 10000) in paragraph at lines 60600--60605
[]\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
[624] [625] [626] [627] [628] [629] [630]
Underfull \hbox (badness 10000) in paragraph at lines 61540--61542
[]\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
[631]
Underfull \hbox (badness 10000) in paragraph at lines 61603--61615
[]\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 61603--61615
\T1/qtm/m/n/10 ply when run-ning the grid search. This is only ap-pli-ca-ble if
 the search

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\T1/qtm/m/n/10 type is spec-i-fied and the search de-ter-mines which al-go-rith
m to use.

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\T1/qtm/m/n/10 The fol-low-ing are the valid com-bi-na-tions of search type and
 al-go-rithm:

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\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 61603--61615
\T1/qtm/m/n/10 | Grid-SearchAl-go-rithm.EXHAUSTIVE_SEARCH (de-fault) | | Grid-S
earch-
[632] [633] [634] [635] [636] [637] [638] [639] [640] [641] [642] [643]
[644] [645] [646] [647] [648] [649] [650]
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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
[651] [652] [653] [654] [655] [656]
Chapter 29.
[657] [658] [659] [660] [661] [662] [663] [664]
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[665] [666] [667] [668] [669] [670] [671]
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\T1/qtm/m/n/10 If pre-dic-tions data col-lec-tion is en-abled for this de-ploy-
ment.

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\T1/qtm/m/n/10 To up-date ex-ist-ing `'pre-dic-tions_data_collection'' set-ting
s, see
[672] [673] [674] [675] [676] [677] [678] [679] [680] [681]
Underfull \hbox (badness 10000) in paragraph at lines 67670--67672
[]\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 ,

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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-
[682] [683] [684] [685] [686] [687] [688] [689] [690] [691] [692] [693]
[694] [695] [696] [697] [698] [699] [700] [701]
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[]\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

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\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

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[]\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 70223--70227
\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 70247--70251
\T1/qtm/m/n/10 ment. To cre-ate or up-date ex-ist-ing `'pre-dic-tion_warning'' 
set-tings, see
[702] [703] [704] [705]
Underfull \hbox (badness 10000) in paragraph at lines 70716--70718
[]\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-
[706] [707] [708]
Chapter 30.
[709] [710] [711] [712]
Chapter 31.
[713]
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[]\T1/qtm/m/n/10 {`key':'DataRobot', `sum-mary':{`min':0, `max':29815.0, `std-D
ev':6498.029,
[714] [715] [716] [717]
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[]\T1/qtm/m/n/10 {`key':'DataRobot', `sum-mary':{`min':0, `max':29815.0, `std-D
ev':6498.029,
[718] [719] [720]
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[]\T1/txtt/bx/n/10 values \T1/qtm/m/n/10 (\T1/txtt/m/n/10 list(dict)\T1/qtm/m/n
/10 ) ^^U List of His-togram val-ues with a schema de-scribed as
[721] [722]
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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 ,
[723]
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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 72976--72979
\T1/txtt/m/n/10 pairwise_conditional_probabilities.statistic_dataframes[(0,1)].

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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-
[732]
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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.
[733] [734]
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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 in
t\T1/qtm/m/n/10 , or \T1/txtt/m/n/10 None\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.
[735]
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[]\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.
[736]
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[]\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.
[737] [738] [739] [740] [741] [742] [743] [744] [745] [746] [747] [748]
Chapter 32.

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l.76782 \PYG{g+go}{└── finance/}
                                      

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l.76782 \PYG{g+go}{└── finance/}
                                      

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l.76782 \PYG{g+go}{└── finance/}
                                      

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l.76783 \PYG{g+go}{    ├── fy\PYGZhy{}2024/}
                                                  

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l.76783 \PYG{g+go}{    ├── fy\PYGZhy{}2024/}
                                                  

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l.76783 \PYG{g+go}{    ├── fy\PYGZhy{}2024/}
                                                  

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l.76784 \PYG{g+go}{    │   └── budgets/}
                                                

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l.76784 \PYG{g+go}{    │   └── budgets/}
                                                

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l.76784 \PYG{g+go}{    │   └── budgets/}
                                                

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l.76784 \PYG{g+go}{    │   └── budgets/}
                                                

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l.76785 ...─ Q2\PYGZus{}budget\PYGZus{}2024.pdf}
                                                  

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l.76785 ...─ Q2\PYGZus{}budget\PYGZus{}2024.pdf}
                                                  

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l.76785 ...─ Q2\PYGZus{}budget\PYGZus{}2024.pdf}
                                                  

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l.76785 ...─ Q2\PYGZus{}budget\PYGZus{}2024.pdf}
                                                  

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l.76786 ...   └── employee\PYGZhy{}list.csv}
                                                  

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l.76786 ...   └── employee\PYGZhy{}list.csv}
                                                  

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l.76786 ...   └── employee\PYGZhy{}list.csv}
                                                  
[758] [759] [760] [761] [762] [763] [764] [765] [766] [767]
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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
[768]
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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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[769] [770] [771]
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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
[772] [773]
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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
[774] [775] [776] [777] [778] [779] [780] [781] [782] [783] [784] [785]
[786] [787] [788] [789] [790] [791] [792]
Chapter 33.
[793] [794] [795] [796] [797] [798] [799] [800]
Underfull \hbox (badness 10000) in paragraph at lines 81822--81827
[]\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

Underfull \hbox (badness 10000) in paragraph at lines 81822--81827
\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 81822--81827
\T1/qtm/m/n/10 new vec-tor database de-ploy-ment is iso-lated or can ac-cess th
e pub-

Underfull \hbox (badness 10000) in paragraph at lines 81822--81827
\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 ,
[801] [802]
Chapter 34.
[803] [804] [805] [806] [807] [808] [809] [810] [811] [812] [813] [814]
[815] [816] [817] [818] [819] [820] [821] [822]
Chapter 35.
[823] [824]
Overfull \hbox (63.27374pt too wide) in paragraph at lines 84783--84786
[]\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 )
[825]
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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 )
[826] [827]
Overfull \hbox (69.97372pt too wide) in paragraph at lines 85157--85160
[]\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 )
[828]
Underfull \hbox (badness 10000) in paragraph at lines 85276--85279
[]\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

Underfull \hbox (badness 10000) in paragraph at lines 85285--85289
[]\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 85285--85289
\T1/qtm/m/n/10 the given cus-tom model is iso-lated, or can ac-cess the pub-lic
 net-

Underfull \hbox (badness 10000) in paragraph at lines 85285--85289
\T1/qtm/m/n/10 work. Val-ues: [\T1/qtm/m/it/10 datarobot.NETWORK_EGRESS_POLICY.
NONE\T1/qtm/m/n/10 ,

Underfull \hbox (badness 10000) in paragraph at lines 85335--85338
[]\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

Underfull \hbox (badness 10000) in paragraph at lines 85344--85348
[]\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 85344--85348
\T1/qtm/m/n/10 the given cus-tom model is iso-lated, or can ac-cess the pub-lic
 net-

Underfull \hbox (badness 10000) in paragraph at lines 85344--85348
\T1/qtm/m/n/10 work. Val-ues: [\T1/qtm/m/it/10 datarobot.NETWORK_EGRESS_POLICY.
NONE\T1/qtm/m/n/10 ,
[829] [830] [831] [832] [833] [834]
Chapter 36.
[835] [836] [837] [838] [839] [840] [841] [842] [843] [844] [845] [846]
[847] [848] [849]
Underfull \hbox (badness 6592) in paragraph at lines 87908--87910
[]\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-
[850]
Underfull \hbox (badness 10000) in paragraph at lines 88026--88028
[]\T1/txtt/bx/n/10 response_moderation_configuration \T1/qtm/m/n/10 (\T1/txtt/m
/n/10 ModerationConfigurationWithoutID\T1/qtm/m/n/10 ,
[851] [852] [853] [854]
Chapter 37.
[855]
Underfull \hbox (badness 10000) in paragraph at lines 88577--88579
[]\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
[856]
Underfull \hbox (badness 10000) in paragraph at lines 88662--88664
[]\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
[857] [858] [859] [860] [861]
Underfull \hbox (badness 10000) in paragraph at lines 89443--89445
[]\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

Underfull \hbox (badness 10000) in paragraph at lines 89521--89523
[]\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
[862] [863] [864]
Chapter 38.
[865]
Underfull \hbox (badness 10000) in paragraph at lines 89852--89856
[]\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

Underfull \hbox (badness 10000) in paragraph at lines 89852--89856
\T1/txtt/m/n/10 wait_for_completion=True\T1/qtm/m/n/10 . De-faults to 10800 (3 
hours). Raises
[866] [867] [868]
Chapter 39.

Underfull \hbox (badness 10000) in paragraph at lines 90046--90058
[]\TS1/txtt/m/n/10 `\T1/txtt/m/n/10 python >>> from datarobot.insights import R
ocCurve >>> RocCurve.compute(

Underfull \hbox (badness 10000) in paragraph at lines 90046--90058
\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

Underfull \hbox (badness 10000) in paragraph at lines 90046--90058
\T1/txtt/m/n/10 0x7fc0b313cc40> >>> RocCurve.get("67643b2d87bb4954d7917323", da
ta_slice_id=

Underfull \hbox (badness 10000) in paragraph at lines 90046--90058
\T1/txtt/m/n/10 "6764389b4bdd48581485a58b") <datarobot.insights.roc_curve.RocCu
rve object at

Underfull \hbox (badness 10000) in paragraph at lines 90046--90058
\T1/txtt/m/n/10 0x7fc0a7549d20> >>> RocCurve.list("67643b2d87bb4954d7917323") [
<datarobot.

Underfull \hbox (badness 10000) in paragraph at lines 90046--90058
\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,

Underfull \hbox (badness 10000) in paragraph at lines 90046--90058
\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,
[869] [870]
Underfull \hbox (badness 10000) in paragraph at lines 90445--90455
[]\TS1/txtt/m/n/10 `\T1/txtt/m/n/10 python >>> from datarobot.insights import L
iftChart >>> LiftChart.compute(

Underfull \hbox (badness 10000) in paragraph at lines 90445--90455
\T1/txtt/m/n/10 "67643b2d87bb4954d7917323", data_slice_id="6764389b4bdd48581485
a58b")

Underfull \hbox (badness 10000) in paragraph at lines 90445--90455
\T1/txtt/m/n/10 <datarobot.models.status_check_job.StatusCheckJob object at 0x7
fa7f5ba20b0>

Underfull \hbox (badness 10000) in paragraph at lines 90445--90455
\T1/txtt/m/n/10 >>> LiftChart.list("67643b2d87bb4954d7917323") [<datarobot.insi
ghts.

Underfull \hbox (badness 10000) in paragraph at lines 90445--90455
\T1/txtt/m/n/10 lift_chart.LiftChart object at 0x7fe242eeaa10>, ... ] >>> LiftC
hart.get(

Underfull \hbox (badness 10000) in paragraph at lines 90445--90455
\T1/txtt/m/n/10 "67643b2d87bb4954d7917323", data_slice_id="6764389b4bdd48581485
a58b").bins

Underfull \hbox (badness 10000) in paragraph at lines 90445--90455
\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}, ... ]
[871] [872] [873]
Underfull \hbox (badness 10000) in paragraph at lines 90790--90805
[]\TS1/txtt/m/n/10 `\T1/txtt/m/n/10 python >>> from datarobot.insights import R
esiduals >>> Residuals.list(

Underfull \hbox (badness 10000) in paragraph at lines 90790--90805
\T1/txtt/m/n/10 "672e32de69b0b676ced54d9c") [<datarobot.insights.residuals.Resi
duals

Underfull \hbox (badness 10000) in paragraph at lines 90790--90805
\T1/txtt/m/n/10 object at 0x7fbce8305ae0>] >>> Residuals.compute("672e32de69b0b
676ced54d9c

Underfull \hbox (badness 10000) in paragraph at lines 90790--90805
\T1/txtt/m/n/10 ", data_slice_id="677ae1249695103ba9feff97") <datarobot.models.


Underfull \hbox (badness 10000) in paragraph at lines 90790--90805
\T1/txtt/m/n/10 status_check_job.StatusCheckJob object at 0x7fbcf4054b80> >>> R
esiduals.

Underfull \hbox (badness 10000) in paragraph at lines 90790--90805
\T1/txtt/m/n/10 list("672e32de69b0b676ced54d9c") [<datarobot.insights.residuals
.Residuals

Underfull \hbox (badness 10000) in paragraph at lines 90790--90805
\T1/txtt/m/n/10 object at 0x7fbce8305870>, <datarobot.insights.residuals.Residu
als

Underfull \hbox (badness 10000) in paragraph at lines 90790--90805
\T1/txtt/m/n/10 object at 0x7fbce8305690>] >>> Residuals.get("672e32de69b0b676c
ed54d9c

Underfull \hbox (badness 10000) in paragraph at lines 90790--90805
\T1/txtt/m/n/10 ", data_slice_id="677ae1249695103ba9feff97") <datarobot.insight
s.

Underfull \hbox (badness 10000) in paragraph at lines 90790--90805
\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").

Underfull \hbox (badness 10000) in paragraph at lines 90790--90805
\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.
[874] [875] [876] [877] [878] [879] [880] [881] [882] [883] [884] [885]
[886] [887]
Underfull \hbox (badness 10000) in paragraph at lines 92885--92887
[]\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.
[888] [889] [890] [891]
Underfull \hbox (badness 10000) in paragraph at lines 93565--93567
[]\T1/txtt/m/n/10 [ [ True Negative, False Positive ], [ False Negative, True P
ositive
[892] [893] [894] [895] [896] [897] [898]
Underfull \hbox (badness 10000) in paragraph at lines 94219--94222
[]\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
[899]
Underfull \hbox (badness 10000) in paragraph at lines 94253--94255
\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 94260--94262
\T1/qtm/m/n/10 Sta-tus back-test/holdout val-i-da-tion. One of \T1/txtt/m/n/10 
datarobot.enums.
[900] [901]
Underfull \hbox (badness 10000) in paragraph at lines 94550--94553
[]\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
[902] [903]
Underfull \hbox (badness 10000) in paragraph at lines 94884--94887
[]\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 94918--94920
\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 94925--94927
\T1/qtm/m/n/10 Sta-tus back-test/holdout val-i-da-tion. One of \T1/txtt/m/n/10 
datarobot.enums.
[904] [905] [906] [907] [908] [909]
Underfull \hbox (badness 10000) in paragraph at lines 95684--95687
[]\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

Underfull \hbox (badness 10000) in paragraph at lines 95689--95692
\T1/qtm/m/n/10 de-pen-dence for the data. Since `v2.19' this is op-tional and d
e-faults to
[910] [911] [912] [913] [914] [915] [916] [917] [918]
Underfull \hbox (badness 10000) in paragraph at lines 96816--96819
[]\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 96821--96824
[]\T1/qtm/m/n/10 Com-pute pre-dic-tions for the model and dataset via \T1/txtt/
m/n/10 datarobot.Model.
[919]
Underfull \hbox (badness 6708) in paragraph at lines 96894--96900
\T1/qtm/m/n/10 Cre-ate pre-dic-tion ex-pla-na-tions for the the dataset used to
 train the model. This can be

Underfull \hbox (badness 6927) in paragraph at lines 96894--96900
\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 96910--96913
[]\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 96915--96918
[]\T1/qtm/m/n/10 Com-pute pre-dic-tions for the model and dataset via \T1/txtt/
m/n/10 datarobot.Model.
[920] [921] [922] [923] [924] [925] [926] [927] [928] [929] [930] [931]
[932]
Chapter 40.
[933] [934] [935] [936] [937] [938] [939] [940]
Chapter 41.
[941] [942] [943] [944]
Chapter 42.
[945] [946] [947] [948]
Underfull \hbox (badness 5696) in paragraph at lines 100551--100559
[]\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 100551--100559
[][]\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
[949] [950] [951] [952]
Chapter 43.
[953] [954]
Chapter 44.
[955] [956] [957] [958] [959] [960] [961] [962] [963] [964]
Overfull \vbox (1.64996pt too high) detected at line 102580
[965] [966] [967] [968] [969] [970]
Chapter 45.
[971]
Underfull \hbox (badness 10000) in paragraph at lines 103452--103454
[]\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
[972] [973] [974] [975] [976] [977]
Underfull \hbox (badness 10000) in paragraph at lines 104086--104092
\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 104086--104092
\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 104170--104177
[]\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 104170--104177
\T1/qtm/m/n/10 datarobot.enums.BiasMitigationTechnique Op-tions: - `pre-pro-ces
s-in-gReweigh-ing' -

Underfull \hbox (badness 7944) in paragraph at lines 104170--104177
\T1/qtm/m/n/10 `post-Pro-cess-in-gRe-jec-tionOp-tion-Based-Clas-si-fi-ca-tion' 
The tech-nique by which we'll
[978]
Underfull \hbox (badness 10000) in paragraph at lines 104179--104183
[]\T1/txtt/bx/n/10 include_bias_mitigation_feature_as_predictor_variable
[979] [980]
Underfull \hbox (badness 7888) in paragraph at lines 104409--104416
\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 104409--104416
\T1/txtt/m/n/10 in the repository (this may be extremely slow). If unspecified,


Underfull \hbox (badness 10000) in paragraph at lines 104432--104438
\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 104432--104438
\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.
[981] [982]
Underfull \hbox (badness 10000) in paragraph at lines 104634--104640
\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 104634--104640
\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 104680--104682
[]\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 ,
[983] [984]
Underfull \hbox (badness 10000) in paragraph at lines 104897--104905
[]\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 104897--104905
\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 104897--104905
\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 104897--104905
\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 104897--104905
\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 104897--104905
\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 104897--104905
\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 104897--104905
\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
[985] [986] [987] [988]
Underfull \hbox (badness 10000) in paragraph at lines 105255--105257
[]\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 105294--105297
[]\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
[989]
Underfull \hbox (badness 10000) in paragraph at lines 105349--105351
[]\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
[990]
Underfull \hbox (badness 10000) in paragraph at lines 105414--105420
[]\T1/txtt/bx/n/10 credential_data \T1/qtm/m/n/10 (\T1/txtt/m/n/10 BasicCredent
ialsDataDict | S3CredentialsDataDict |
[991] [992]
Overfull \hbox (0.89392pt too wide) in paragraph at lines 105698--105702
[]\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 ,
[993] [994] [995] [996] [997] [998] [999] [1000] [1001]
Underfull \hbox (badness 10000) in paragraph at lines 106788--106797
[]\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
[1002]
Underfull \hbox (badness 10000) in paragraph at lines 106887--106892
[]\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 106887--106892
[][]\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 106904--106907
\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
[1003] [1004]
Underfull \hbox (badness 10000) in paragraph at lines 107106--107111
\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
[1005]
Underfull \hbox (badness 10000) in paragraph at lines 107284--107289
\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 107284--107289
\T1/qtm/m/n/10 QUEUE_STATUS.INPROGRESS, will re-turn the mod-el-ing jobs that a
re cur-rently
[1006]
Underfull \hbox (badness 10000) in paragraph at lines 107329--107334
\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
[1007] [1008] [1009]
Underfull \hbox (badness 10000) in paragraph at lines 107723--107729
[]\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 107723--107729
\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 ,
[1010]
Underfull \hbox (badness 10000) in paragraph at lines 107742--107749
[]\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 107742--107749
\T1/qtm/m/n/10 datarobot.enums.BiasMitigationTechnique Op-tions: - `pre-pro-ces
s-in-gReweigh-ing' -

Underfull \hbox (badness 7944) in paragraph at lines 107742--107749
\T1/qtm/m/n/10 `post-Pro-cess-in-gRe-jec-tionOp-tion-Based-Clas-si-fi-ca-tion' 
The tech-nique by which we'll

Underfull \hbox (badness 10000) in paragraph at lines 107751--107755
[]\T1/txtt/bx/n/10 include_bias_mitigation_feature_as_predictor_variable

Overfull \hbox (3.89389pt too wide) in paragraph at lines 107786--107790
[]\T1/txtt/bx/n/10 number_of_incremental_learning_iterations_before_best_model_
selection
[1011]
Underfull \hbox (badness 10000) in paragraph at lines 107912--107915
[]\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 107912--107915
\T1/txtt/m/n/10 datarobot.helpers.partitioning_methods.PartitioningMethod \T1/q
tm/m/n/10 that will
[1012] [1013] [1014]
Underfull \hbox (badness 10000) in paragraph at lines 108206--108208
[]\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.
[1015] [1016] [1017]
Underfull \hbox (badness 10000) in paragraph at lines 108707--108714
[]\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 108707--108714
\T1/qtm/m/n/10 datarobot.enums.BiasMitigationTechnique Op-tions: - `pre-pro-ces
s-in-gReweigh-ing' -

Underfull \hbox (badness 7944) in paragraph at lines 108707--108714
\T1/qtm/m/n/10 `post-Pro-cess-in-gRe-jec-tionOp-tion-Based-Clas-si-fi-ca-tion' 
The tech-nique by which we'll
[1018] [1019]
Underfull \hbox (badness 10000) in paragraph at lines 108915--108921
[]\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 108926--108931
\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
[1020] [1021]
Underfull \hbox (badness 6364) in paragraph at lines 109130--109133
[]\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
[1022]
Underfull \hbox (badness 10000) in paragraph at lines 109201--109207
[]\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 109201--109207
\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 109220--109227
[]\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 109220--109227
\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 109235--109237
[]\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 109239--109241
[]\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
[1023]
Underfull \hbox (badness 10000) in paragraph at lines 109284--109288
[]\T1/txtt/bx/n/10 number_of_incremental_learning_iterations_before_best_model_
selection
[1024] [1025]
Underfull \hbox (badness 10000) in paragraph at lines 109693--109696
[]\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 109703--109706
[]\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 ,
[1026]
Underfull \hbox (badness 10000) in paragraph at lines 109714--109717
[]\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 109714--109717
\T1/txtt/m/n/10 DATETIME_AUTOPILOT_DATA_SELECTION_METHOD\T1/qtm/m/n/10 . Whethe
r mod-els cre-ated by the
[1027]
Underfull \hbox (badness 6927) in paragraph at lines 109831--109834
[]\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
[1028] [1029]
Underfull \hbox (badness 10000) in paragraph at lines 110005--110010
[]\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 ,
[1030]
Underfull \hbox (badness 10000) in paragraph at lines 110147--110149
[]\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
[1031]
Underfull \hbox (badness 10000) in paragraph at lines 110226--110229
[]\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 110226--110229
\T1/txtt/m/n/10 DATETIME_AUTOPILOT_DATA_SELECTION_METHOD\T1/qtm/m/n/10 . Whethe
r mod-els cre-ated by the
[1032] [1033]
Underfull \hbox (badness 6927) in paragraph at lines 110399--110402
[]\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
[1034] [1035] [1036] [1037] [1038]
Underfull \hbox (badness 10000) in paragraph at lines 111046--111049
[]\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 111046--111049
\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.
[1039] [1040]
Underfull \hbox (badness 5741) in paragraph at lines 111265--111273
\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
[1041] [1042] [1043] [1044] [1045] [1046] [1047] [1048]
Underfull \hbox (badness 10000) in paragraph at lines 112514--112516
[]\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
[1049] [1050] [1051] [1052] [1053] [1054] [1055] [1056]
Chapter 46.
[1057]
Underfull \vbox (badness 10000) detected at line 113434
[1058]
Underfull \hbox (badness 10000) in paragraph at lines 113515--113519
[]\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 113515--113519
\T1/qtm/m/n/10 be present if \T1/txtt/m/n/10 explanation_algorithm \T1/qtm/m/n/
10 was set to
[1059] [1060] [1061] [1062]
Chapter 47.
[1063] [1064]
Underfull \hbox (badness 7099) in paragraph at lines 114209--114212
[]\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 ,
[1065]
Underfull \hbox (badness 7099) in paragraph at lines 114251--114254
[]\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 ,
[1066] [1067] [1068] [1069] [1070]
Chapter 48.
[1071] [1072] [1073] [1074] [1075] [1076] [1077] [1078] [1079] [1080]
Chapter 49.

Underfull \hbox (badness 10000) in paragraph at lines 115898--115900
[]\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
[1081]
Underfull \hbox (badness 10000) in paragraph at lines 115973--115975
[]\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.

Underfull \hbox (badness 10000) in paragraph at lines 115991--115993
[]\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 115991--115993
\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

Underfull \hbox (badness 10000) in paragraph at lines 115999--116001
[]\T1/qtm/m/n/10 Added \T1/txtt/m/n/10 CustomScoringMetricVersionFileContents \
T1/qtm/m/n/10 and \T1/txtt/m/n/10 CustomScoringMetricVersion.

Underfull \hbox (badness 7133) in paragraph at lines 116003--116005
[]\T1/qtm/m/n/10 Fixed \T1/txtt/m/n/10 CustomScoringMetric.list \T1/qtm/m/n/10 
so \T1/txtt/m/n/10 isArchived \T1/qtm/m/n/10 is omit-ted when list-ing non-arch
ived met-rics
[1082]
Underfull \hbox (badness 10000) in paragraph at lines 116093--116095
\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.
[1083]
Underfull \hbox (badness 10000) in paragraph at lines 116212--116215
[]\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 116212--116215
\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
[1084]
Underfull \hbox (badness 10000) in paragraph at lines 116259--116261
[]\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 116263--116265
[]\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 116263--116265
\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
[1085] [1086]
Underfull \hbox (badness 10000) in paragraph at lines 116512--116515
[]\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
[1087]
Underfull \hbox (badness 10000) in paragraph at lines 116589--116592
[]\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 116589--116592
\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.
[1088]
Underfull \hbox (badness 10000) in paragraph at lines 116708--116710
[]\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 116724--116726
[]\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.
[1089]
Underfull \hbox (badness 10000) in paragraph at lines 116812--116814
[]\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 116816--116818
[]\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
[1090]
Underfull \hbox (badness 8038) in paragraph at lines 116908--116910
[]\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 116944--116946
[]\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
[1091]
Underfull \hbox (badness 10000) in paragraph at lines 117043--117045
[]\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 117043--117045
\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 117043--117045
\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 117043--117045
\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
[1092] [1093]
Overfull \hbox (1.74904pt too wide) in paragraph at lines 117190--117192
[]\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 117239--117241
[]\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
[1094]
Underfull \hbox (badness 10000) in paragraph at lines 117276--117278
[]\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
[1095]
Underfull \hbox (badness 10000) in paragraph at lines 117451--117453
[]\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 117499--117501
[]\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-
[1096]
Underfull \hbox (badness 10000) in paragraph at lines 117511--117514
[]\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 117511--117514
[][]\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 117516--117518
[]\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 117586--117588
[]\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 ,
[1097]
Underfull \hbox (badness 10000) in paragraph at lines 117599--117601
[]\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
[1098] [1099] [1100]
Underfull \hbox (badness 10000) in paragraph at lines 118011--118014
[]\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 118077--118079
[]\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
[1101]
Underfull \hbox (badness 10000) in paragraph at lines 118155--118157
[]\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 118164--118171
[]\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 118191--118193
[]\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.
[1102]
Underfull \hbox (badness 10000) in paragraph at lines 118211--118213
[]\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 118273--118275
[]\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'
[1103]
Underfull \hbox (badness 10000) in paragraph at lines 118336--118339
[]\T1/txtt/m/n/10 datarobot._experimental.models.time_series_wrangling_template
.user_flow_template
[1104]
Underfull \hbox (badness 10000) in paragraph at lines 118507--118510
[]\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
[1105]
Underfull \hbox (badness 10000) in paragraph at lines 118637--118639
[]\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
[1106]
Underfull \hbox (badness 10000) in paragraph at lines 118776--118780
[]\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:
[1107]
Underfull \hbox (badness 10000) in paragraph at lines 118856--118858
[][][]\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
[1108]
Underfull \hbox (badness 10000) in paragraph at lines 118931--118934
[]\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 118931--118934
\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 119003--119005
[]\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.
[1109]
Underfull \hbox (badness 10000) in paragraph at lines 119163--119165
[]\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.
[1110] [1111] [1112]
Underfull \hbox (badness 10000) in paragraph at lines 119518--119520
[]\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.
[1113] [1114]
Underfull \hbox (badness 10000) in paragraph at lines 119745--119747
\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
[1115] [1116] [1117] [1118]
Underfull \hbox (badness 10000) in paragraph at lines 120202--120204
[]\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 120206--120208
[]\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 120210--120212
[]\T1/qtm/m/n/10 If the user con-fig-ures the client via env vars, then set the
 env var
[1119]
Underfull \hbox (badness 10000) in paragraph at lines 120385--120387
[]\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 120409--120411
\T1/txtt/m/sl/10 PredictionExplanations.get_all_as_dataframe()[][] \T1/qtm/m/n/
10 and [][]\T1/txtt/m/sl/10 datarobot.PredictionExplanations.
[1120] [1121]
Underfull \hbox (badness 10000) in paragraph at lines 120538--120541
[]\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 120548--120551
[]\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 120563--120566
[]\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 120568--120571
[]\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.
[1122]
Underfull \hbox (badness 10000) in paragraph at lines 120730--120734
[]\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 120730--120734
[][]\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 120736--120741
[]\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 120736--120741
[][]\T1/txtt/m/sl/10 DataEngineQueryGenerator.prepare_prediction_dataset_from_c
atalog[][] \T1/qtm/m/n/10 that ap-ply time se-ries
[1123]
Underfull \hbox (badness 10000) in paragraph at lines 120846--120848
[]\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
[1124] [1125] [1126]
Underfull \hbox (badness 10000) in paragraph at lines 121131--121134
[]\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 121136--121138
[]\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 121219--121221
[][][]\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 121223--121225
[][][]\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
[1127]
Underfull \hbox (badness 6364) in paragraph at lines 121255--121257
[]\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.
[1128]
Underfull \hbox (badness 10000) in paragraph at lines 121378--121385
[]\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 121378--121385
[][]\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
[1129]
Underfull \hbox (badness 10000) in paragraph at lines 121578--121580
[]\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 121596--121599
[]\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
[1130] [1131]
Underfull \hbox (badness 10000) in paragraph at lines 121848--121851
[]\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 ,
[1132]
Underfull \hbox (badness 6268) in paragraph at lines 121949--121952
[]\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 121984--121988
[]\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
[1133]
Underfull \hbox (badness 10000) in paragraph at lines 121994--122002
[]\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 121994--122002
\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 121994--122002
\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 121994--122002
\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 121994--122002
\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 121994--122002
[][]\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.
[1134]
Underfull \hbox (badness 10000) in paragraph at lines 122144--122147
[]\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 122220--122223
[]\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.
[1135] [1136]
Underfull \hbox (badness 10000) in paragraph at lines 122465--122468
[]\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 122470--122473
[]\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.
[1137]
Underfull \hbox (badness 7907) in paragraph at lines 122641--122646
[]\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:
[1138]
Underfull \hbox (badness 10000) in paragraph at lines 122683--122686
[]\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 122759--122764
[]\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 122759--122764
\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.
[1139]
Underfull \hbox (badness 10000) in paragraph at lines 122784--122792
[][]\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 122784--122792
\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 122860--122863
[]\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 122865--122871
[]\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 122865--122871
\T1/txtt/m/sl/10 FeatureAssociationMatrixDetails[][] \T1/qtm/m/n/10 and [][]\T1
/txtt/m/sl/10 datarobot.models.FeatureAssociationFeaturelists[][]
[1140]
Underfull \hbox (badness 10000) in paragraph at lines 122895--122902
[]\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 122895--122902
\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 ,
[1141]
Underfull \hbox (badness 8170) in paragraph at lines 123031--123034
[]\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 123036--123039
\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
[1142]
Underfull \hbox (badness 10000) in paragraph at lines 123119--123124
[]\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 123144--123146
[]\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 123223--123227
[]\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
[1143]
Underfull \hbox (badness 10000) in paragraph at lines 123266--123269
[]\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:
[1144]
Underfull \hbox (badness 10000) in paragraph at lines 123409--123418
[]\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 123420--123427
[]\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.
[1145] [1146]
Underfull \hbox (badness 10000) in paragraph at lines 123611--123615
[]\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 123649--123654
[]\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 123669--123673
[]\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 123669--123673
[][]\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 123693--123695
[]\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 .
[1147] [1148]
Underfull \hbox (badness 10000) in paragraph at lines 123937--123941
[]\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.
[1149]
Underfull \hbox (badness 10000) in paragraph at lines 124010--124012
[]\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 124010--124012
[][]\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 124043--124045
[]\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 124063--124066
[]\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.
[1150]
Underfull \hbox (badness 7925) in paragraph at lines 124100--124102
[]\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 124108--124113
[]\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
[1151]
Underfull \hbox (badness 10000) in paragraph at lines 124199--124201
[]\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 124199--124201
\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
[1152]
Underfull \hbox (badness 7451) in paragraph at lines 124288--124291
[]\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 124288--124291
\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
[1153] [1154]
Underfull \hbox (badness 10000) in paragraph at lines 124495--124504
[]\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 124495--124504
[][]\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 124534--124536
[][][]\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
[1155]
Underfull \hbox (badness 10000) in paragraph at lines 124656--124659
[]\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 124675--124680
[]\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 124675--124680
\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.
[1156]
Underfull \hbox (badness 10000) in paragraph at lines 124706--124710
[]\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 124799--124807
[]\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 124799--124807
\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
[1157]
Underfull \hbox (badness 10000) in paragraph at lines 124822--124825
[]\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 124832--124834
[]\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 124874--124878
[][][]\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.
[1158]
Underfull \hbox (badness 10000) in paragraph at lines 124991--124995
[]\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 124991--124995
\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 125011--125015
[]\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.
[1159]
Underfull \hbox (badness 5302) in paragraph at lines 125037--125041
\T1/qtm/m/n/10 re-cated and will be re-moved in 2.14. Use [][]\T1/txtt/m/sl/10 
datarobot.DatetimePartitioningSpecification.
[1160] [1161]
Underfull \hbox (badness 10000) in paragraph at lines 125311--125314
[]\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.
[1162] [1163]
Underfull \hbox (badness 10000) in paragraph at lines 125504--125506
[]\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,
[1164]
Underfull \hbox (badness 10000) in paragraph at lines 125608--125612
[]\T1/qtm/m/n/10 (Only rel-e-vant for on-premise users with a Stan-dalone Scor-
ing clus-ter.) Meth-ods
[1165]
Underfull \hbox (badness 6268) in paragraph at lines 125723--125727
[]\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.
[1166] [1167]
Underfull \hbox (badness 10000) in paragraph at lines 125859--125861
[]\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.
[1168] [1169] [1170]
Underfull \hbox (badness 6016) in paragraph at lines 126202--126206
[]\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 126222--126227
[]\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 126293--126296
[]\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
[1171] [1172] [1173] [1174] (./datarobot-public-api-client.ind [1175] [1176]
[1177]
Underfull \hbox (badness 10000) in paragraph at lines 84--86
[]\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 130--132
[]\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 132--134
[]\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 ),
[1178] [1179]
Underfull \hbox (badness 10000) in paragraph at lines 296--298
[]\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 304--306
[]\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
[1180]
Underfull \hbox (badness 10000) in paragraph at lines 382--384
[]\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 384--386
[]\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
[1181]
Underfull \hbox (badness 10000) in paragraph at lines 406--408
[]\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 443--445
[]\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 ),
[1182] [1183] [1184] [1185]
Underfull \hbox (badness 10000) in paragraph at lines 793--795
[]\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 801--803
[]\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
[1186] [1187]
Overfull \hbox (6.44446pt too wide) in paragraph at lines 989--991
[]\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 ),
[1188]
Underfull \hbox (badness 10000) in paragraph at lines 1078--1080
[]\T1/txtt/m/n/10 find_anomalous_regions() \T1/qtm/m/n/10 (\T1/qtm/m/it/10 data
robot.models.anomaly_assessment.AnomalyAssessmentPredictionsPreview
[1189]
Underfull \hbox (badness 10000) in paragraph at lines 1132--1134
[]\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
[1190]
Underfull \hbox (badness 10000) in paragraph at lines 1219--1221
[]\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

Underfull \hbox (badness 10000) in paragraph at lines 1221--1223
[]\T1/txtt/m/n/10 from_server_data() \T1/qtm/m/n/10 (\T1/qtm/m/it/10 datarobot.
models.user_mcp_server_deployment.ToolInUserMCPServerDeployment class

Underfull \hbox (badness 10000) in paragraph at lines 1223--1225
[]\T1/txtt/m/n/10 from_server_data() \T1/qtm/m/n/10 (\T1/qtm/m/it/10 datarobot.
models.user_mcp_server_version.PromptInUserMCPServerVersion class

Underfull \hbox (badness 10000) in paragraph at lines 1225--1227
[]\T1/txtt/m/n/10 from_server_data() \T1/qtm/m/n/10 (\T1/qtm/m/it/10 datarobot.
models.user_mcp_server_version.ResourceInUserMCPServerVersion class
[1191] [1192]
Underfull \hbox (badness 10000) in paragraph at lines 1385--1387
[]\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
[1193] [1194] [1195]
Underfull \hbox (badness 10000) in paragraph at lines 1627--1629
[]\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

Underfull \hbox (badness 10000) in paragraph at lines 1629--1631
[]\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

Overfull \hbox (51.0944pt too wide) in paragraph at lines 1712--1714
[]\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
[1196]
Underfull \hbox (badness 10000) in paragraph at lines 1731--1733
[]\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
[1197] [1198] [1199] [1200]
Underfull \hbox (badness 10000) in paragraph at lines 2193--2195
[]\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
[1201] [1202]
Underfull \hbox (badness 10000) in paragraph at lines 2337--2339
[]\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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) [6] [1] [2]
Chapter 1.

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[][][]\T1/qtm/m/it/10 Ad-min-is-tra-
[3] [4]
Chapter 2.
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[][][]\T1/txtt/m/sl/10 Dataset.create_from_url[][] \T1/qtm/m/n/10 takes CSV dat
a from a URL. If you have set

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[][][]\T1/txtt/m/sl/10 Dataset.create_from_data_source[][] \T1/qtm/m/n/10 takes
 data from a data source. If you have set
[6] [7] [8] (/usr/share/texmf/tex/latex/tex-gyre/ts1qtm.fd) [9] [10] [11]
[12]
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[15] [16] [17] [18] [19] [20] [21] [22]
Chapter 3.
[23] [24] [25] [26] [27] [28] [29]
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[]\T1/qtm/m/n/10 For mul-ti-class mod-els, you can get a list of per-class lift
 charts us-ing the \T1/txtt/m/n/10 Model \T1/qtm/m/n/10 method

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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
[35] [36] [37] [38] [39] [40] [41] [42] [43] [44] [45] [46]
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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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[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
[68]
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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
[69] [70] [71]

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l.4790 ...gment\PYGZus{}id}\PYG{l+s+s2}{\PYGZdq{}}
                                                  

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[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.
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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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[96] [97 <./sample1.png>] [98 <./sample2.png>] [99 <./activation_map1.png> <./a
ctivation_map2.png>] [100] [101 <./embeddings.png>] [102] [103] [104]
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Chapter 4.
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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.
[124]
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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 that the job

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\T1/qtm/m/n/10 ther 3-letter

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\T1/qtm/m/n/10 ab-bre-vi-a-tions

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

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\T1/qtm/m/n/10 month, can

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\T1/qtm/m/n/10 change-ably

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[]\T1/qtm/m/n/10 Months that

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\T1/qtm/m/n/10 pat-i-ble with

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\T1/txtt/m/n/10 day_of_month

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\T1/qtm/m/n/10 such as
[125]
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[126]
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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
[127] [128]
Chapter 5.
[129] [130] [131] [132] [133] [134] [135] [136] [137] [138] [139] [140]
[141] [142] [143]
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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.
[144] [145] [146] [147] [148] [149] [150] [151]
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[152] [153] [154]
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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
[155] [156]
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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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[165]
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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
[166] [167] [168]
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[181]
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[182] [183] [184]
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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.
[185] [186] [187]
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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
[188] [189] [190] [191] [192] [193] [194] [195] [196]
Chapter 6.
[197] [198] [199] [200] [201] [202] [203] [204] [205] [206]
Chapter 7.
[207] [208] [209] [210]
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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
[211] [212]
Chapter 8.
[213] [214] [215] [216]
Chapter 9.
[217] [218]
Chapter 10.
[219] [220]
Chapter 11.
[221] [222] [223] [224]
Chapter 12.
[225] [226]
Chapter 13.
[227] [228] [229] [230] [231] [232] [233]
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[234] [235] [236]
Chapter 14.
[237] [238] [239] [240] [241] [242] [243]
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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.:
[244]
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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.:
[245]
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[]\T1/qtm/m/n/10 par-ti-tion : sub-set of train-ing data to score, one of \T1/t
xtt/m/n/10 datarobot.enums.
[246] [247] [248] [249] [250] [251] [252] [253] [254] [255]
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\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 !=
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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 , 
[261]
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\T1/qtm/m/it/10 tinue_on_error=False\T1/qtm/m/n/10 , 
[262] [263] [264]
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 ,
[268] [269] [270] [271]
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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 )
[272]
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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 ,
[273]
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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 ,

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[]\T1/txtt/bx/n/10 limit \T1/qtm/m/n/10 (\T1/txtt/m/n/10 int\T1/qtm/m/n/10 , \T
1/txtt/m/n/10 Optional. (default\T1/qtm/m/n/10 : \T1/txtt/m/n/10 0)\T1/qtm/m/n/
10 , \T1/txtt/m/n/10 at most this many results are
[274]
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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 The list of
[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 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

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[]\T1/txtt/bx/n/10 limit \T1/qtm/m/n/10 (\T1/txtt/m/n/10 int\T1/qtm/m/n/10 , \T
1/txtt/m/n/10 Optional. (default\T1/qtm/m/n/10 : \T1/txtt/m/n/10 0)\T1/qtm/m/n/
10 , \T1/txtt/m/n/10 at most this many results are
[277] [278] [279]
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[]\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-tions

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\T1/qtm/m/n/10 should be cal-i-brated to be be-tween 0 and 1 by DR. if None, us
es de-fault
[280] [281] [282] [283] [284] [285] [286] [287] [288] [289] [290] [291]
[292] [293] [294]
Chapter 17.
[295] [296] [297] [298]
Chapter 18.
[299]
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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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[303] [304] [305] [306] [307] [308]
Chapter 19.
[309] [310] [311] [312] [313] [314] [315] [316]
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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
[317] [318]
Chapter 20.
[319] [320] [321]
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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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[]\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 )
[334]
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\T1/qtm/m/n/10 Cre-ate a hosted cus-tom met-ric from a tem-plate. A short-cut f
or 2 calls:
[335] [336] [337] [338] [339] [340]
Chapter 21.

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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 ,
[341]
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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
[342]
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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 ] 
[343]
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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
[344]
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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
[345] [346]
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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 type of the im-age, ei-ther CUS-

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

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\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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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 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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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 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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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 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 ^^Pbase_environ
ment_id^^Q and

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[]\T1/txtt/bx/n/10 files \T1/qtm/m/n/10 (\T1/txtt/m/n/10 Optional[List]\T1/qtm/
m/n/10 ) ^^U The list of tu-ples, where val-ues in each

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\T1/qtm/m/n/10 tu-ple are the lo-cal filesys-tem path and the path the file sho
uld be

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\T1/qtm/m/n/10 placed in the model. If the list is of strings, then base-names 
will be

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\T1/qtm/m/n/10 used for tu-ples. Ex-am-ple: [(^^P/home/user/Documents/myModel/f
ile1.txt^^Q,

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\T1/qtm/m/n/10 ^^Pfile1.txt^^Q), (^^P/home/user/Documents/myModel/folder/file2.
txt^^Q,

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\T1/qtm/m/n/10 ^^Pfolder/file2.txt^^Q)] or [^^P/home/user/Documents/myModel/fil
e1.txt^^Q,

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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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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 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 ^^Pbase_environ
ment_id^^Q and

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[]\T1/txtt/bx/n/10 files \T1/qtm/m/n/10 (\T1/txtt/m/n/10 Optional[List]\T1/qtm/
m/n/10 ) ^^U The list of tu-ples, where val-ues in each

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\T1/qtm/m/n/10 tu-ple are the lo-cal filesys-tem path and the path the file sho
uld be

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\T1/qtm/m/n/10 placed in the model. If list is of strings, then base-names will
 be

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\T1/qtm/m/n/10 used for tu-ples Ex-am-ple: [(^^P/home/user/Documents/myModel/fi
le1.txt^^Q,

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\T1/qtm/m/n/10 ^^Pfile1.txt^^Q), (^^P/home/user/Documents/myModel/folder/file2.
txt^^Q,

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\T1/qtm/m/n/10 ^^Pfolder/file2.txt^^Q)] or [^^P/home/user/Documents/myModel/fil
e1.txt^^Q,

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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/qtm/m/n/10 Trans-fer ac-cess to the ex-e-cu-tion en-vi-ron-ment from [][]
old_user@datarobot.com[][] to
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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 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
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Chapter 22.
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Chapter 23.
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Chapter 24.
[381]
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[]\T1/txtt/bx/n/10 database_driver \T1/qtm/m/n/10 (\T1/txtt/m/n/10 str\T1/qtm/m
/n/10 ) ^^U Op-tional. Spec-ify when typ is \T1/qtm/m/it/10 DataDriver-
[382] [383] [384] [385]
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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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[]\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:
[386] [387] [388] [389] [390] [391] [392] [393] [394] [395] [396]
Chapter 25.
[397] [398] [399] [400] [401] [402]
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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-
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Chapter 26.
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\T1/qtm/m/n/10 GIVEN _ NAME / SCHEMA . TABLE _ NAME$[][]' - `[][]$jdbc : DATA _
 SOURCE _ GIVEN _
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Chapter 27.
[431]
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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
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(/usr/share/texlive/texmf-dist/tex/latex/fontawesome5/ufontawesomefree2.fd)
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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 28.
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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
[473]
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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 42656--42659
\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
[476]
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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
[482] [483] [484] [485]
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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
[486]
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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
[487] [488] [489]
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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
[493]
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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/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
[504]
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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 ,

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\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/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 ) ^
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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 Con-fu-sion chart source. Check
[531]
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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 ,

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\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
[534]
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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
[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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\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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[][]\T1/txtt/m/sl/10 partitioning_methods.construct_duration_string[][] \T1/qtm
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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
[551]
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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 51962--51967
[][]\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
[552] [553]
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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/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
[558] [559] [560] [561] [562] [563] [564] [565] [566] [567] [568] [569]
[570]
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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
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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
[580]
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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/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
[581] [582] [583]
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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 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
[588] [589] [590]
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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
[591]
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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
[592] [593] [594] [595] [596] [597] [598] [599] [600] [601] [602]
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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
[603] [604]
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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
[605]
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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 ,
[606]
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\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
[607] [608] [609] [610] [611]
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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
[612] [613] [614] [615]
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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
[616] [617]
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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 59864--59869
[][]\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
[618] [619] [620]
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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

Underfull \hbox (badness 10000) in paragraph at lines 60205--60207
[]\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
[621] [622] [623]
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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

Underfull \hbox (badness 10000) in paragraph at lines 60600--60605
[]\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 60600--60605
[][]\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 60613--60616
\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
[624] [625] [626] [627] [628] [629] [630]
Underfull \hbox (badness 10000) in paragraph at lines 61540--61542
[]\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
[631]
Underfull \hbox (badness 10000) in paragraph at lines 61603--61615
[]\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 61603--61615
\T1/qtm/m/n/10 ply when run-ning the grid search. This is only ap-pli-ca-ble if
 the search

Underfull \hbox (badness 10000) in paragraph at lines 61603--61615
\T1/qtm/m/n/10 type is spec-i-fied and the search de-ter-mines which al-go-rith
m to use.

Underfull \hbox (badness 10000) in paragraph at lines 61603--61615
\T1/qtm/m/n/10 The fol-low-ing are the valid com-bi-na-tions of search type and
 al-go-rithm:

Underfull \hbox (badness 10000) in paragraph at lines 61603--61615
\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 61603--61615
\T1/qtm/m/n/10 | Grid-SearchAl-go-rithm.EXHAUSTIVE_SEARCH (de-fault) | | Grid-S
earch-
[632] [633] [634] [635] [636] [637] [638] [639] [640] [641] [642] [643]
[644] [645] [646] [647] [648] [649] [650]
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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
[651] [652] [653] [654] [655] [656]
Chapter 29.
[657] [658] [659] [660] [661] [662] [663] [664]
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[665] [666] [667] [668] [669] [670] [671]
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\T1/qtm/m/n/10 If pre-dic-tions data col-lec-tion is en-abled for this de-ploy-
ment.

Underfull \hbox (badness 10000) in paragraph at lines 66338--66342
\T1/qtm/m/n/10 To up-date ex-ist-ing `'pre-dic-tions_data_collection'' set-ting
s, see
[672] [673] [674] [675] [676] [677] [678] [679] [680] [681]
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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 ,

Underfull \hbox (badness 10000) in paragraph at lines 67705--67707
\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-
[682] [683] [684] [685] [686] [687] [688] [689] [690] [691] [692] [693]
[694] [695] [696] [697] [698] [699] [700] [701]
Underfull \hbox (badness 10000) in paragraph at lines 70217--70221
[]\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 70217--70221
\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 70223--70227
[]\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 70223--70227
\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 70247--70251
[]\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 70247--70251
\T1/qtm/m/n/10 ment. To cre-ate or up-date ex-ist-ing `'pre-dic-tion_warning'' 
set-tings, see
[702] [703] [704] [705]
Underfull \hbox (badness 10000) in paragraph at lines 70716--70718
[]\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-
[706] [707] [708]
Chapter 30.
[709] [710] [711] [712]
Chapter 31.
[713]
Underfull \hbox (badness 10000) in paragraph at lines 71592--71597
[]\T1/qtm/m/n/10 {`key':'DataRobot', `sum-mary':{`min':0, `max':29815.0, `std-D
ev':6498.029,
[714] [715] [716] [717]
Underfull \hbox (badness 10000) in paragraph at lines 72134--72139
[]\T1/qtm/m/n/10 {`key':'DataRobot', `sum-mary':{`min':0, `max':29815.0, `std-D
ev':6498.029,
[718] [719] [720]
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[]\T1/txtt/bx/n/10 values \T1/qtm/m/n/10 (\T1/txtt/m/n/10 list(dict)\T1/qtm/m/n
/10 ) ^^U List of His-togram val-ues with a schema de-scribed as
[721] [722]
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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 72828--72831
\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 ,
[723]
Underfull \hbox (badness 10000) in paragraph at lines 72976--72979
[]\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 72976--72979
\T1/txtt/m/n/10 pairwise_conditional_probabilities.statistic_dataframes[(0,1)].

[724] [725] [726] [727] [728] [729] [730] [731]
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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-
[732]
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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.
[733] [734]
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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 in
t\T1/qtm/m/n/10 , or \T1/txtt/m/n/10 None\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.
[735]
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[]\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.
[736]
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[]\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

Underfull \hbox (badness 6641) in paragraph at lines 74511--74515
\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.
[737] [738] [739] [740] [741] [742] [743] [744] [745] [746] [747] [748]
Chapter 32.

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l.76782 \PYG{g+go}{└── finance/}
                                      

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l.76782 \PYG{g+go}{└── finance/}
                                      

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l.76782 \PYG{g+go}{└── finance/}
                                      

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l.76783 \PYG{g+go}{    ├── fy\PYGZhy{}2024/}
                                                  

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l.76783 \PYG{g+go}{    ├── fy\PYGZhy{}2024/}
                                                  

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l.76784 \PYG{g+go}{    │   └── budgets/}
                                                

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l.76784 \PYG{g+go}{    │   └── budgets/}
                                                

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l.76784 \PYG{g+go}{    │   └── budgets/}
                                                

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l.76784 \PYG{g+go}{    │   └── budgets/}
                                                

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l.76785 ...─ Q2\PYGZus{}budget\PYGZus{}2024.pdf}
                                                  

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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.76785 ...─ 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.
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l.76785 ...─ 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.76785 ...─ 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.76786 ...   └── 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.76786 ...   └── 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.76786 ...   └── 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
[768]
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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
[772] [773]
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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
[774] [775] [776] [777] [778] [779] [780] [781] [782] [783] [784] [785]
[786] [787] [788] [789] [790] [791] [792]
Chapter 33.
[793] [794] [795] [796] [797] [798] [799] [800]
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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 ,
[801] [802]
Chapter 34.
[803] [804] [805] [806] [807] [808] [809] [810] [811] [812] [813] [814]
[815] [816] [817] [818] [819] [820] [821] [822]
Chapter 35.
[823] [824]
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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 )
[825]
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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 )
[826] [827]
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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 )
[828]
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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 ,
[829] [830] [831] [832] [833] [834]
Chapter 36.
[835] [836] [837] [838] [839] [840] [841] [842] [843] [844] [845] [846]
[847] [848] [849]
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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-
[850]
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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 ,
[851] [852] [853] [854]
Chapter 37.
[855]
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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
[856]
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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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[]\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 38.
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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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\T1/txtt/m/n/10 wait_for_completion=True\T1/qtm/m/n/10 . De-faults to 10800 (3 
hours). Raises
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Chapter 39.

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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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[886] [887]
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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.
[888] [889] [890] [891]
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[]\T1/txtt/m/n/10 [ [ True Negative, False Positive ], [ False Negative, True P
ositive
[892] [893] [894] [895] [896] [897] [898]
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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
[899]
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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
[902] [903]
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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.
[904] [905] [906] [907] [908] [909]
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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
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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.
[919]
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\T1/qtm/m/n/10 Cre-ate pre-dic-tion ex-pla-na-tions for the the dataset used to
 train the model. This can be

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\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 96910--96913
[]\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 96915--96918
[]\T1/qtm/m/n/10 Com-pute pre-dic-tions for the model and dataset via \T1/txtt/
m/n/10 datarobot.Model.
[920] [921] [922] [923] [924] [925] [926] [927] [928] [929] [930] [931]
[932]
Chapter 40.
[933] [934] [935] [936] [937] [938] [939] [940]
Chapter 41.
[941] [942] [943] [944]
Chapter 42.
[945] [946] [947] [948]
Underfull \hbox (badness 5696) in paragraph at lines 100551--100559
[]\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 100551--100559
[][]\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
[949] [950] [951] [952]
Chapter 43.
[953] [954]
Chapter 44.
[955] [956] [957] [958] [959] [960] [961] [962] [963] [964]
Overfull \vbox (1.64996pt too high) detected at line 102580
[965] [966] [967] [968] [969] [970]
Chapter 45.
[971]
Underfull \hbox (badness 10000) in paragraph at lines 103452--103454
[]\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
[972] [973] [974] [975] [976] [977]
Underfull \hbox (badness 10000) in paragraph at lines 104086--104092
\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 104086--104092
\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 104170--104177
[]\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 104170--104177
\T1/qtm/m/n/10 datarobot.enums.BiasMitigationTechnique Op-tions: - `pre-pro-ces
s-in-gReweigh-ing' -

Underfull \hbox (badness 7944) in paragraph at lines 104170--104177
\T1/qtm/m/n/10 `post-Pro-cess-in-gRe-jec-tionOp-tion-Based-Clas-si-fi-ca-tion' 
The tech-nique by which we'll
[978]
Underfull \hbox (badness 10000) in paragraph at lines 104179--104183
[]\T1/txtt/bx/n/10 include_bias_mitigation_feature_as_predictor_variable
[979] [980]
Underfull \hbox (badness 7888) in paragraph at lines 104409--104416
\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 104409--104416
\T1/txtt/m/n/10 in the repository (this may be extremely slow). If unspecified,


Underfull \hbox (badness 10000) in paragraph at lines 104432--104438
\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 104432--104438
\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.
[981] [982]
Underfull \hbox (badness 10000) in paragraph at lines 104634--104640
\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 104634--104640
\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 104680--104682
[]\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 ,
[983] [984]
Underfull \hbox (badness 10000) in paragraph at lines 104897--104905
[]\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 104897--104905
\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 104897--104905
\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 104897--104905
\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 104897--104905
\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 104897--104905
\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 104897--104905
\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 104897--104905
\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
[985] [986] [987] [988]
Underfull \hbox (badness 10000) in paragraph at lines 105255--105257
[]\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 105294--105297
[]\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
[989]
Underfull \hbox (badness 10000) in paragraph at lines 105349--105351
[]\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
[990]
Underfull \hbox (badness 10000) in paragraph at lines 105414--105420
[]\T1/txtt/bx/n/10 credential_data \T1/qtm/m/n/10 (\T1/txtt/m/n/10 BasicCredent
ialsDataDict | S3CredentialsDataDict |
[991] [992]
Overfull \hbox (0.89392pt too wide) in paragraph at lines 105698--105702
[]\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 ,
[993] [994] [995] [996] [997] [998] [999] [1000] [1001]
Underfull \hbox (badness 10000) in paragraph at lines 106788--106797
[]\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
[1002]
Underfull \hbox (badness 10000) in paragraph at lines 106887--106892
[]\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 106887--106892
[][]\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 106904--106907
\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
[1003] [1004]
Underfull \hbox (badness 10000) in paragraph at lines 107106--107111
\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
[1005]
Underfull \hbox (badness 10000) in paragraph at lines 107284--107289
\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 107284--107289
\T1/qtm/m/n/10 QUEUE_STATUS.INPROGRESS, will re-turn the mod-el-ing jobs that a
re cur-rently
[1006]
Underfull \hbox (badness 10000) in paragraph at lines 107329--107334
\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
[1007] [1008] [1009]
Underfull \hbox (badness 10000) in paragraph at lines 107723--107729
[]\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 107723--107729
\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 ,
[1010]
Underfull \hbox (badness 10000) in paragraph at lines 107742--107749
[]\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 107742--107749
\T1/qtm/m/n/10 datarobot.enums.BiasMitigationTechnique Op-tions: - `pre-pro-ces
s-in-gReweigh-ing' -

Underfull \hbox (badness 7944) in paragraph at lines 107742--107749
\T1/qtm/m/n/10 `post-Pro-cess-in-gRe-jec-tionOp-tion-Based-Clas-si-fi-ca-tion' 
The tech-nique by which we'll

Underfull \hbox (badness 10000) in paragraph at lines 107751--107755
[]\T1/txtt/bx/n/10 include_bias_mitigation_feature_as_predictor_variable

Overfull \hbox (3.89389pt too wide) in paragraph at lines 107786--107790
[]\T1/txtt/bx/n/10 number_of_incremental_learning_iterations_before_best_model_
selection
[1011]
Underfull \hbox (badness 10000) in paragraph at lines 107912--107915
[]\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 107912--107915
\T1/txtt/m/n/10 datarobot.helpers.partitioning_methods.PartitioningMethod \T1/q
tm/m/n/10 that will
[1012] [1013] [1014]
Underfull \hbox (badness 10000) in paragraph at lines 108206--108208
[]\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.
[1015] [1016] [1017]
Underfull \hbox (badness 10000) in paragraph at lines 108707--108714
[]\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 108707--108714
\T1/qtm/m/n/10 datarobot.enums.BiasMitigationTechnique Op-tions: - `pre-pro-ces
s-in-gReweigh-ing' -

Underfull \hbox (badness 7944) in paragraph at lines 108707--108714
\T1/qtm/m/n/10 `post-Pro-cess-in-gRe-jec-tionOp-tion-Based-Clas-si-fi-ca-tion' 
The tech-nique by which we'll
[1018] [1019]
Underfull \hbox (badness 10000) in paragraph at lines 108915--108921
[]\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 108926--108931
\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
[1020] [1021]
Underfull \hbox (badness 6364) in paragraph at lines 109130--109133
[]\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
[1022]
Underfull \hbox (badness 10000) in paragraph at lines 109201--109207
[]\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 109201--109207
\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 109220--109227
[]\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 109220--109227
\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 109235--109237
[]\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 109239--109241
[]\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
[1023]
Underfull \hbox (badness 10000) in paragraph at lines 109284--109288
[]\T1/txtt/bx/n/10 number_of_incremental_learning_iterations_before_best_model_
selection
[1024] [1025]
Underfull \hbox (badness 10000) in paragraph at lines 109693--109696
[]\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 109703--109706
[]\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 ,
[1026]
Underfull \hbox (badness 10000) in paragraph at lines 109714--109717
[]\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 109714--109717
\T1/txtt/m/n/10 DATETIME_AUTOPILOT_DATA_SELECTION_METHOD\T1/qtm/m/n/10 . Whethe
r mod-els cre-ated by the
[1027]
Underfull \hbox (badness 6927) in paragraph at lines 109831--109834
[]\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
[1028] [1029]
Underfull \hbox (badness 10000) in paragraph at lines 110005--110010
[]\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 ,
[1030]
Underfull \hbox (badness 10000) in paragraph at lines 110147--110149
[]\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
[1031]
Underfull \hbox (badness 10000) in paragraph at lines 110226--110229
[]\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 110226--110229
\T1/txtt/m/n/10 DATETIME_AUTOPILOT_DATA_SELECTION_METHOD\T1/qtm/m/n/10 . Whethe
r mod-els cre-ated by the
[1032] [1033]
Underfull \hbox (badness 6927) in paragraph at lines 110399--110402
[]\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
[1034] [1035] [1036] [1037] [1038]
Underfull \hbox (badness 10000) in paragraph at lines 111046--111049
[]\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 111046--111049
\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.
[1039] [1040]
Underfull \hbox (badness 5741) in paragraph at lines 111265--111273
\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
[1041] [1042] [1043] [1044] [1045] [1046] [1047] [1048]
Underfull \hbox (badness 10000) in paragraph at lines 112514--112516
[]\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
[1049] [1050] [1051] [1052] [1053] [1054] [1055] [1056]
Chapter 46.
[1057]
Underfull \vbox (badness 10000) detected at line 113434
[1058]
Underfull \hbox (badness 10000) in paragraph at lines 113515--113519
[]\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 113515--113519
\T1/qtm/m/n/10 be present if \T1/txtt/m/n/10 explanation_algorithm \T1/qtm/m/n/
10 was set to
[1059] [1060] [1061] [1062]
Chapter 47.
[1063] [1064]
Underfull \hbox (badness 7099) in paragraph at lines 114209--114212
[]\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 ,
[1065]
Underfull \hbox (badness 7099) in paragraph at lines 114251--114254
[]\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 ,
[1066] [1067] [1068] [1069] [1070]
Chapter 48.
[1071] [1072] [1073] [1074] [1075] [1076] [1077] [1078] [1079] [1080]
Chapter 49.

Underfull \hbox (badness 10000) in paragraph at lines 115898--115900
[]\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
[1081]
Underfull \hbox (badness 10000) in paragraph at lines 115973--115975
[]\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.

Underfull \hbox (badness 10000) in paragraph at lines 115991--115993
[]\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 115991--115993
\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

Underfull \hbox (badness 10000) in paragraph at lines 115999--116001
[]\T1/qtm/m/n/10 Added \T1/txtt/m/n/10 CustomScoringMetricVersionFileContents \
T1/qtm/m/n/10 and \T1/txtt/m/n/10 CustomScoringMetricVersion.

Underfull \hbox (badness 7133) in paragraph at lines 116003--116005
[]\T1/qtm/m/n/10 Fixed \T1/txtt/m/n/10 CustomScoringMetric.list \T1/qtm/m/n/10 
so \T1/txtt/m/n/10 isArchived \T1/qtm/m/n/10 is omit-ted when list-ing non-arch
ived met-rics
[1082]
Underfull \hbox (badness 10000) in paragraph at lines 116093--116095
\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.
[1083]
Underfull \hbox (badness 10000) in paragraph at lines 116212--116215
[]\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 116212--116215
\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
[1084]
Underfull \hbox (badness 10000) in paragraph at lines 116259--116261
[]\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 116263--116265
[]\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 116263--116265
\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
[1085] [1086]
Underfull \hbox (badness 10000) in paragraph at lines 116512--116515
[]\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
[1087]
Underfull \hbox (badness 10000) in paragraph at lines 116589--116592
[]\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 116589--116592
\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.
[1088]
Underfull \hbox (badness 10000) in paragraph at lines 116708--116710
[]\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 116724--116726
[]\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.
[1089]
Underfull \hbox (badness 10000) in paragraph at lines 116812--116814
[]\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 116816--116818
[]\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
[1090]
Underfull \hbox (badness 8038) in paragraph at lines 116908--116910
[]\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 116944--116946
[]\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
[1091]
Underfull \hbox (badness 10000) in paragraph at lines 117043--117045
[]\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 117043--117045
\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 117043--117045
\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 117043--117045
\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
[1092] [1093]
Overfull \hbox (1.74904pt too wide) in paragraph at lines 117190--117192
[]\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 117239--117241
[]\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
[1094]
Underfull \hbox (badness 10000) in paragraph at lines 117276--117278
[]\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
[1095]
Underfull \hbox (badness 10000) in paragraph at lines 117451--117453
[]\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 117499--117501
[]\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-
[1096]
Underfull \hbox (badness 10000) in paragraph at lines 117511--117514
[]\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 117511--117514
[][]\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 117516--117518
[]\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 117586--117588
[]\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 ,
[1097]
Underfull \hbox (badness 10000) in paragraph at lines 117599--117601
[]\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
[1098] [1099] [1100]
Underfull \hbox (badness 10000) in paragraph at lines 118011--118014
[]\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 118077--118079
[]\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
[1101]
Underfull \hbox (badness 10000) in paragraph at lines 118155--118157
[]\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 118164--118171
[]\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 118191--118193
[]\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.
[1102]
Underfull \hbox (badness 10000) in paragraph at lines 118211--118213
[]\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 118273--118275
[]\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'
[1103]
Underfull \hbox (badness 10000) in paragraph at lines 118336--118339
[]\T1/txtt/m/n/10 datarobot._experimental.models.time_series_wrangling_template
.user_flow_template
[1104]
Underfull \hbox (badness 10000) in paragraph at lines 118507--118510
[]\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
[1105]
Underfull \hbox (badness 10000) in paragraph at lines 118637--118639
[]\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
[1106]
Underfull \hbox (badness 10000) in paragraph at lines 118776--118780
[]\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:
[1107]
Underfull \hbox (badness 10000) in paragraph at lines 118856--118858
[][][]\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
[1108]
Underfull \hbox (badness 10000) in paragraph at lines 118931--118934
[]\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 118931--118934
\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 119003--119005
[]\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.
[1109]
Underfull \hbox (badness 10000) in paragraph at lines 119163--119165
[]\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.
[1110] [1111] [1112]
Underfull \hbox (badness 10000) in paragraph at lines 119518--119520
[]\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.
[1113] [1114]
Underfull \hbox (badness 10000) in paragraph at lines 119745--119747
\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
[1115] [1116] [1117] [1118]
Underfull \hbox (badness 10000) in paragraph at lines 120202--120204
[]\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 120206--120208
[]\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 120210--120212
[]\T1/qtm/m/n/10 If the user con-fig-ures the client via env vars, then set the
 env var
[1119]
Underfull \hbox (badness 10000) in paragraph at lines 120385--120387
[]\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 120409--120411
\T1/txtt/m/sl/10 PredictionExplanations.get_all_as_dataframe()[][] \T1/qtm/m/n/
10 and [][]\T1/txtt/m/sl/10 datarobot.PredictionExplanations.
[1120] [1121]
Underfull \hbox (badness 10000) in paragraph at lines 120538--120541
[]\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 120548--120551
[]\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 120563--120566
[]\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 120568--120571
[]\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.
[1122]
Underfull \hbox (badness 10000) in paragraph at lines 120730--120734
[]\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 120730--120734
[][]\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 120736--120741
[]\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 120736--120741
[][]\T1/txtt/m/sl/10 DataEngineQueryGenerator.prepare_prediction_dataset_from_c
atalog[][] \T1/qtm/m/n/10 that ap-ply time se-ries
[1123]
Underfull \hbox (badness 10000) in paragraph at lines 120846--120848
[]\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
[1124] [1125] [1126]
Underfull \hbox (badness 10000) in paragraph at lines 121131--121134
[]\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 121136--121138
[]\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 121219--121221
[][][]\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 121223--121225
[][][]\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
[1127]
Underfull \hbox (badness 6364) in paragraph at lines 121255--121257
[]\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.
[1128]
Underfull \hbox (badness 10000) in paragraph at lines 121378--121385
[]\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 121378--121385
[][]\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
[1129]
Underfull \hbox (badness 10000) in paragraph at lines 121578--121580
[]\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 121596--121599
[]\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
[1130] [1131]
Underfull \hbox (badness 10000) in paragraph at lines 121848--121851
[]\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 ,
[1132]
Underfull \hbox (badness 6268) in paragraph at lines 121949--121952
[]\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 121984--121988
[]\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
[1133]
Underfull \hbox (badness 10000) in paragraph at lines 121994--122002
[]\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 121994--122002
\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 121994--122002
\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 121994--122002
\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 121994--122002
\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 121994--122002
[][]\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.
[1134]
Underfull \hbox (badness 10000) in paragraph at lines 122144--122147
[]\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 122220--122223
[]\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.
[1135] [1136]
Underfull \hbox (badness 10000) in paragraph at lines 122465--122468
[]\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 122470--122473
[]\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.
[1137]
Underfull \hbox (badness 7907) in paragraph at lines 122641--122646
[]\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:
[1138]
Underfull \hbox (badness 10000) in paragraph at lines 122683--122686
[]\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 122759--122764
[]\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 122759--122764
\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.
[1139]
Underfull \hbox (badness 10000) in paragraph at lines 122784--122792
[][]\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 122784--122792
\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 122860--122863
[]\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 122865--122871
[]\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 122865--122871
\T1/txtt/m/sl/10 FeatureAssociationMatrixDetails[][] \T1/qtm/m/n/10 and [][]\T1
/txtt/m/sl/10 datarobot.models.FeatureAssociationFeaturelists[][]
[1140]
Underfull \hbox (badness 10000) in paragraph at lines 122895--122902
[]\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 122895--122902
\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 ,
[1141]
Underfull \hbox (badness 8170) in paragraph at lines 123031--123034
[]\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 123036--123039
\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
[1142]
Underfull \hbox (badness 10000) in paragraph at lines 123119--123124
[]\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 123144--123146
[]\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 123223--123227
[]\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
[1143]
Underfull \hbox (badness 10000) in paragraph at lines 123266--123269
[]\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:
[1144]
Underfull \hbox (badness 10000) in paragraph at lines 123409--123418
[]\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 123420--123427
[]\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.
[1145] [1146]
Underfull \hbox (badness 10000) in paragraph at lines 123611--123615
[]\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 123649--123654
[]\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 123669--123673
[]\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 123669--123673
[][]\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 123693--123695
[]\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 .
[1147] [1148]
Underfull \hbox (badness 10000) in paragraph at lines 123937--123941
[]\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.
[1149]
Underfull \hbox (badness 10000) in paragraph at lines 124010--124012
[]\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 124010--124012
[][]\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 124043--124045
[]\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 124063--124066
[]\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.
[1150]
Underfull \hbox (badness 7925) in paragraph at lines 124100--124102
[]\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 124108--124113
[]\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
[1151]
Underfull \hbox (badness 10000) in paragraph at lines 124199--124201
[]\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 124199--124201
\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
[1152]
Underfull \hbox (badness 7451) in paragraph at lines 124288--124291
[]\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 124288--124291
\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
[1153] [1154]
Underfull \hbox (badness 10000) in paragraph at lines 124495--124504
[]\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 124495--124504
[][]\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 124534--124536
[][][]\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
[1155]
Underfull \hbox (badness 10000) in paragraph at lines 124656--124659
[]\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 124675--124680
[]\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 124675--124680
\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.
[1156]
Underfull \hbox (badness 10000) in paragraph at lines 124706--124710
[]\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 124799--124807
[]\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 124799--124807
\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
[1157]
Underfull \hbox (badness 10000) in paragraph at lines 124822--124825
[]\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 124832--124834
[]\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 124874--124878
[][][]\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.
[1158]
Underfull \hbox (badness 10000) in paragraph at lines 124991--124995
[]\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 124991--124995
\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 125011--125015
[]\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.
[1159]
Underfull \hbox (badness 5302) in paragraph at lines 125037--125041
\T1/qtm/m/n/10 re-cated and will be re-moved in 2.14. Use [][]\T1/txtt/m/sl/10 
datarobot.DatetimePartitioningSpecification.
[1160] [1161]
Underfull \hbox (badness 10000) in paragraph at lines 125311--125314
[]\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.
[1162] [1163]
Underfull \hbox (badness 10000) in paragraph at lines 125504--125506
[]\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,
[1164]
Underfull \hbox (badness 10000) in paragraph at lines 125608--125612
[]\T1/qtm/m/n/10 (Only rel-e-vant for on-premise users with a Stan-dalone Scor-
ing clus-ter.) Meth-ods
[1165]
Underfull \hbox (badness 6268) in paragraph at lines 125723--125727
[]\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.
[1166] [1167]
Underfull \hbox (badness 10000) in paragraph at lines 125859--125861
[]\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.
[1168] [1169] [1170]
Underfull \hbox (badness 6016) in paragraph at lines 126202--126206
[]\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 126222--126227
[]\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 126293--126296
[]\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
[1171] [1172] [1173] [1174] (./datarobot-public-api-client.ind [1175] [1176]
[1177]
Underfull \hbox (badness 10000) in paragraph at lines 84--86
[]\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 130--132
[]\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 132--134
[]\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 ),
[1178] [1179]
Underfull \hbox (badness 10000) in paragraph at lines 296--298
[]\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 304--306
[]\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
[1180]
Underfull \hbox (badness 10000) in paragraph at lines 382--384
[]\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 384--386
[]\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
[1181]
Underfull \hbox (badness 10000) in paragraph at lines 406--408
[]\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 443--445
[]\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 ),
[1182] [1183] [1184] [1185]
Underfull \hbox (badness 10000) in paragraph at lines 793--795
[]\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 801--803
[]\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
[1186] [1187]
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[]\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 ),
[1188]
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[]\T1/txtt/m/n/10 find_anomalous_regions() \T1/qtm/m/n/10 (\T1/qtm/m/it/10 data
robot.models.anomaly_assessment.AnomalyAssessmentPredictionsPreview
[1189]
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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
[1190]
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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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[]\T1/txtt/m/n/10 from_server_data() \T1/qtm/m/n/10 (\T1/qtm/m/it/10 datarobot.
models.user_mcp_server_deployment.ToolInUserMCPServerDeployment class

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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_version.PromptInUserMCPServerVersion class

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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_version.ResourceInUserMCPServerVersion class
[1191] [1192]
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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
[1193] [1194] [1195]
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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

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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
[1196]
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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
[1197] [1198] [1199] [1200]
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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
[1205]
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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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[]\T1/txtt/m/n/10 list_all_available_document_types() \T1/qtm/m/n/10 (\T1/qtm/m
/it/10 datarobot.models.automated_documentation.AutomatedDocument
[1206]
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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
[1207]
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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
[1208] [1209] [1210] [1211] [1212] [1213] [1214] [1215] [1216] [1217] [1218]
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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
[1219]
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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
[1220]) [1221] (./datarobot-public-api-client.aux) )
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Output written on datarobot-public-api-client.pdf (1229 pages, 5112025 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