Read the Docs build information
Build id: 4386581
Project: datarobot-public-api-client
Version: latest-release
Commit: 394da03f57748f498a205c6ab5ea50b4e6722f7c
Date: 2026-09-01T12:16:23.306962Z
State: finished
Success: True


[rtd-command-info] start-time: 2026-09-01T12:16:23.981529Z, end-time: 2026-09-01T12:16:26.908121Z, duration: 2, 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: 2026-09-01T12:16:26.995166Z, end-time: 2026-09-01T12:16:29.990589Z, duration: 2, exit-code: 0
git fetch origin --force --prune --prune-tags --depth 50 refs/tags/latest-release:refs/tags/latest-release
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]         early-access -> early-access
 * [new tag]         v3.18.0      -> v3.18.0
 * [new tag]         v3.18.0rc0   -> v3.18.0rc0
 * [new tag]         v3.19.0rc0   -> v3.19.0rc0

[rtd-command-info] start-time: 2026-09-01T12:16:30.964618Z, end-time: 2026-09-01T12:16:31.390887Z, duration: 0, exit-code: 0
git checkout --force 394da03f57748f498a205c6ab5ea50b4e6722f7c
Note: switching to '394da03f57748f498a205c6ab5ea50b4e6722f7c'.

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 394da03 [CFX-7224] Finalize v3.18.0 (#4139)

[rtd-command-info] start-time: 2026-09-01T12:16:31.649132Z, end-time: 2026-09-01T12:16:31.681096Z, 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: 2026-09-01T12:16:35.873580Z, end-time: 2026-09-01T12:16:35.918951Z, duration: 0, exit-code: 0
asdf global python 3.11.15


[rtd-command-info] start-time: 2026-09-01T12:16:36.240250Z, end-time: 2026-09-01T12:16:36.701994Z, duration: 0, exit-code: 0
python -mvirtualenv $READTHEDOCS_VIRTUALENV_PATH
created virtual environment CPython3.11.15.final.0-64 in 265ms
  creator CPython3Posix(dest=/home/docs/checkouts/readthedocs.org/user_builds/datarobot-public-api-client/envs/latest-release, 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: 2026-09-01T12:16:36.785271Z, end-time: 2026-09-01T12:16:40.770168Z, duration: 3, 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/latest-release/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/latest-release/lib/python3.11/site-packages (67.6.1)
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Installing collected packages: setuptools, pip
  Attempting uninstall: setuptools
    Found existing installation: setuptools 67.6.1
    Uninstalling setuptools-67.6.1:
      Successfully uninstalled setuptools-67.6.1
  Attempting uninstall: pip
    Found existing installation: pip 23.1
    Uninstalling pip-23.1:
      Successfully uninstalled pip-23.1
Successfully installed pip-26.2.1 setuptools-84.0.0

[rtd-command-info] start-time: 2026-09-01T12:16:40.862428Z, end-time: 2026-09-01T12:16:44.735062Z, duration: 3, exit-code: 0
python -m pip install --upgrade --no-cache-dir sphinx
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Installing collected packages: urllib3, sphinxcontrib-serializinghtml, sphinxcontrib-qthelp, sphinxcontrib-jsmath, sphinxcontrib-htmlhelp, sphinxcontrib-devhelp, sphinxcontrib-applehelp, snowballstemmer, roman-numerals, Pygments, packaging, MarkupSafe, imagesize, idna, docutils, charset_normalizer, certifi, babel, alabaster, requests, Jinja2, sphinx

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

[rtd-command-info] start-time: 2026-09-01T12:16:44.844961Z, end-time: 2026-09-01T12:17:20.278427Z, duration: 35, 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
  Preparing metadata (pyproject.toml): finished with status 'done'
Collecting pandas>=0.15 (from datarobot==3.18.0)
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Requirement already satisfied: requests>=2.28.1 in /home/docs/checkouts/readthedocs.org/user_builds/datarobot-public-api-client/envs/latest-release/lib/python3.11/site-packages (from datarobot==3.18.0) (2.34.2)
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Building wheels for collected packages: datarobot, jupyter_contrib_nbextensions, jupyter_contrib_core
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Successfully built datarobot jupyter_contrib_nbextensions jupyter_contrib_core
Installing collected packages: types-urllib3, types-PyYAML, types-pytz, types-python-dateutil, types-decorator, trafaret, strenum, sly, pytz, py4j, pure-eval, ptyprocess, jupyter_highlight_selected_word, ipython_genutils, websocket-client, webencodings, webcolors, wcwidth, vermin, uri-template, tzdata, typing-extensions, types-requests, traitlets, tornado, toolz, tomli, tabulate, soupsieve, six, send2trash, ruff, rpds-py, roman-numerals-py, rfc3986-validator, pyzmq, pyyaml, python-json-logger, python-dotenv, pyjson5, pyenchant, pycparser, pyasn1, pyarrow, py-walk, psutil, protobuf, prometheus-client, pluggy, platformdirs, Pillow, pexpect, pathspec, parso, pandocfilters, overrides, numpy, nest-asyncio2, mypy_extensions, mistune, mdurl, lxml, lark, jupyterlab-pygments, jsonpointer, json5, ipython-pygments-lexers, iniconfig, h11, greenlet, fsspec, fqdn, fastjsonschema, executing, docutils, defusedxml, debugpy, coverage, comm, click, attrs, async-lru, asttokens, annotated-types, typing-inspection, tinycss2, terminado, stack_data, sqlalchemy, Sphinx, rfc3987-syntax, rfc3339-validator, responses, requests_toolbelt, referencing, python-dateutil, pytest, pydantic-core, pyasn1-modules, prompt_toolkit, mypy, matplotlib-inline, markdown-it-py, jupyter-core, jedi, httpcore, grpcio, googleapis-common-protos, columnar, cffi, bleach, beautifulsoup4, application-properties, application-file-scanner, anyio, sphinxcontrib-spelling, sphinxcontrib-jquery, sphinx-multitoc-numbering, sphinx-markdown-builder, sphinx-copybutton, sphinx-autodoc-typehints, pytest-cov, pytest-asyncio, pymarkdownlnt, pydantic, pandas, mdit-py-plugins, jupyter-server-terminals, jupyter-client, jupyter-builder, jsonschema-specifications, ipython, httpx, grpcio-status, cryptography, arrow, argon2-cffi-bindings, sphinx_rtd_theme, sphinx-external-toc, respx, pydantic-settings, myst-parser, jsonschema, joserfc, isoduration, ipykernel, google-auth, datarobot, argon2-cffi, nbformat, databricks-sdk, authlib, nbclient, jupyter-events, databricks-connect, nbconvert, nbsphinx, jupyter-server, notebook-shim, jupyterlab-server, jupyter-lsp, jupyterlab, notebook, jupyter_contrib_core, jupyter_nbextensions_configurator, jupyter_contrib_nbextensions
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  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-0.8.0 anyio-4.14.2 application-file-scanner-0.6.4 application-properties-0.9.3 argon2-cffi-25.1.0 argon2-cffi-bindings-26.1.0 arrow-1.4.0 asttokens-3.0.2 async-lru-2.3.0 attrs-26.1.0 authlib-1.8.0 beautifulsoup4-4.15.0 bleach-6.4.0 cffi-2.1.1 click-8.5.0 columnar-1.4.1 comm-0.2.3 coverage-7.16.0 cryptography-50.0.1 databricks-connect-16.1.7 databricks-sdk-0.133.0 datarobot-3.18.0 debugpy-1.8.21 defusedxml-0.7.1 docutils-0.21.2 executing-2.2.1 fastjsonschema-2.22.2 fqdn-1.5.1 fsspec-2026.7.0 google-auth-2.57.0 googleapis-common-protos-1.75.2 greenlet-3.5.5 grpcio-1.83.1 grpcio-status-1.83.1 h11-0.16.0 httpcore-1.0.9 httpx-0.28.1 iniconfig-2.3.0 ipykernel-7.3.0 ipython-9.17.1 ipython-pygments-lexers-1.1.1 ipython_genutils-0.2.0 isoduration-20.11.0 jedi-0.20.0 joserfc-1.7.5 json5-0.15.0 jsonpointer-3.1.1 jsonschema-4.26.0 jsonschema-specifications-2025.9.1 jupyter-builder-1.2.2 jupyter-client-8.10.0 jupyter-core-5.9.1 jupyter-events-0.12.1 jupyter-lsp-2.3.1 jupyter-server-2.21.0 jupyter-server-terminals-0.5.4 jupyter_contrib_core-0.4.2 jupyter_contrib_nbextensions-0.7.0 jupyter_highlight_selected_word-0.2.0 jupyter_nbextensions_configurator-0.6.4 jupyterlab-4.6.3 jupyterlab-pygments-0.3.0 jupyterlab-server-2.28.0 lark-1.3.1 lxml-6.1.2 markdown-it-py-3.0.0 matplotlib-inline-0.2.2 mdit-py-plugins-0.6.1 mdurl-0.1.2 mistune-3.3.4 mypy-1.16.0 mypy_extensions-1.1.0 myst-parser-4.0.0 nbclient-0.11.0 nbconvert-7.17.1 nbformat-5.11.1 nbsphinx-0.9.8 nest-asyncio2-1.7.2 notebook-7.6.2 notebook-shim-0.2.4 numpy-1.26.4 overrides-7.7.0 pandas-3.0.5 pandocfilters-1.5.1 parso-0.8.7 pathspec-1.1.1 pexpect-4.9.0 platformdirs-4.11.6 pluggy-1.6.0 prometheus-client-0.26.0 prompt_toolkit-3.0.53 protobuf-6.33.6 psutil-7.2.2 ptyprocess-0.7.0 pure-eval-0.2.3 py-walk-0.3.3 py4j-0.10.9.7 pyarrow-25.0.1 pyasn1-0.6.4 pyasn1-modules-0.4.2 pycparser-3.0 pydantic-2.13.5 pydantic-core-2.46.5 pydantic-settings-2.15.0 pyenchant-3.2.2 pyjson5-2.0.1 pymarkdownlnt-0.9.39 pytest-8.3.5 pytest-asyncio-0.21.1 pytest-cov-7.1.0 python-dateutil-2.9.0.post0 python-dotenv-1.2.3 python-json-logger-4.2.0 pytz-2026.3.post1 pyyaml-6.0.3 pyzmq-27.2.0 referencing-0.37.0 requests_toolbelt-1.0.0 responses-0.21.0 respx-0.23.1 rfc3339-validator-0.1.4 rfc3986-validator-0.1.1 rfc3987-syntax-1.1.0 roman-numerals-py-4.1.0 rpds-py-2026.6.3 ruff-0.15.22 send2trash-2.1.0 six-1.17.0 sly-0.5 soupsieve-2.9.2 sphinx-autodoc-typehints-3.5.2 sphinx-copybutton-0.5.2 sphinx-external-toc-1.1.0 sphinx-markdown-builder-0.6.11 sphinx-multitoc-numbering-0.1.3 sphinx_rtd_theme-3.1.0 sphinxcontrib-jquery-4.1 sphinxcontrib-spelling-8.0.2 sqlalchemy-2.0.52 stack_data-0.6.3 strenum-0.4.15 tabulate-0.10.0 terminado-0.18.1 tinycss2-1.5.1 tomli-2.4.1 toolz-1.1.0 tornado-6.5.8 trafaret-2.1.1 traitlets-5.16.1 types-PyYAML-6.0.12 types-decorator-5.1.8 types-python-dateutil-2.8.19 types-pytz-2022.2.1.0 types-requests-2.28.11 types-urllib3-1.26.25 typing-extensions-4.16.0 typing-inspection-0.4.4 tzdata-2026.3 uri-template-1.3.0 vermin-1.8.0 wcwidth-0.8.3 webcolors-25.10.0 webencodings-0.6.1 websocket-client-1.9.2

[rtd-command-info] start-time: 2026-09-01T12:17:20.447139Z, end-time: 2026-09-01T12:17:20.479225Z, duration: 0, exit-code: 0
cat sdk_docs/conf.py
#
# Copyright 2021-2025 DataRobot, Inc. and its affiliates.
#
# All rights reserved.
#
# DataRobot, Inc.
#
# This is proprietary source code of DataRobot, Inc. and its
# affiliates.
#
# Released under the terms of DataRobot Tool and Utility Agreement.
#
# DataRobot Python API documentation build configuration file, created by
# sphinx-quickstart on Mon Mar 16 10:50:19 2015.
#
# This file is execfile()d with the current directory set to its containing dir.
#
# Note that not all possible configuration values are present in this
# autogenerated file.
#
# All configuration values have a default; values that are commented out
# serve to show the default.
from __future__ import annotations

import os
import shutil
import sys

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

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

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

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

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

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

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

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

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

autosummary_generate = False
autodoc_class_signature = "separated"

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

autodoc_member_order = "bysource"

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

nbsphinx_execute = "never"

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

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

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

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

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

# The master toctree document.
master_doc = "index"

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

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


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

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

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

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

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

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

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

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

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

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


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

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

html_theme = "sphinx_rtd_theme"

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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


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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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


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

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

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


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

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

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

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

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

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

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

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

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


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

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

[rtd-command-info] start-time: 2026-09-01T12:17:20.584402Z, end-time: 2026-09-01T12:18:03.372806Z, duration: 42, 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/latest-release/_readthedocs/html/_static/nbsphinx-code-cells.css
myst v4.0.0: MdParserConfig(commonmark_only=False, gfm_only=False, enable_extensions={'replacements', 'html_image', 'tasklist', 'attrs_inline', 'colon_fence', 'smartquotes', 'dollarmath', 'html_admonition', 'amsmath', 'substitution', 'fieldlist', 'deflist', 'strikethrough'}, disable_syntax=[], all_links_external=False, links_external_new_tab=False, url_schemes=('http', 'https', 'mailto', 'ftp'), ref_domains=None, fence_as_directive=set(), number_code_blocks=[], title_to_header=False, heading_anchors=0, heading_slug_func=None, html_meta={}, footnote_sort=True, footnote_transition=True, words_per_minute=200, substitutions={}, linkify_fuzzy_links=True, dmath_allow_labels=True, dmath_allow_space=True, dmath_allow_digits=True, dmath_double_inline=False, update_mathjax=True, mathjax_classes='tex2jax_process|mathjax_process|math|output_area', enable_checkboxes=False, suppress_warnings=[], highlight_code_blocks=True)
sphinx-multitoc-numbering v0.1.3: Loaded
building [mo]: targets for 0 po files that are out of date
writing output... 
building [html]: targets for 90 source files that are out of date
updating environment: [new config] 90 added, 0 changed, 0 removed
reading sources... [  1%] CHANGES
reading sources... [  2%] api-object
reading sources... [  3%] app-framework
reading sources... [  4%] application-templates
reading sources... [  6%] applications
reading sources... [  7%] batch-monitoring
reading sources... [  8%] batch-predictions
reading sources... [  9%] binary_data_helpers
reading sources... [ 10%] blueprints
reading sources... [ 11%] challenger-models
reading sources... [ 12%] client-setup
reading sources... [ 13%] compliance-documentation
reading sources... [ 14%] credentials
reading sources... [ 16%] custom-application-sources
reading sources... [ 17%] custom-applications
reading sources... [ 18%] custom-metrics
reading sources... [ 19%] custom-models
reading sources... [ 20%] custom_scoring_metrics
reading sources... [ 21%] data-connectivity
reading sources... [ 22%] data-exploration
reading sources... [ 23%] data-registry
reading sources... [ 24%] data-wrangling
reading sources... [ 26%] datarobot-models
reading sources... [ 27%] deployment-management
reading sources... [ 28%] errors
reading sources... [ 29%] features
reading sources... [ 30%] file-system
reading sources... [ 31%] gen-llm-generation
reading sources... [ 32%] gen-moderation
reading sources... [ 33%] gen-prompting
reading sources... [ 34%] gen-syftr-search
reading sources... [ 36%] gen-testing
reading sources... [ 37%] gen-vector-databases
reading sources... [ 38%] index
reading sources... [ 39%] insights
reading sources... [ 40%] jobs
reading sources... [ 41%] key_values
reading sources... [ 42%] memory
reading sources... [ 43%] mlops_event
reading sources... [ 44%] notebooks
reading sources... [ 46%] projects
reading sources... [ 47%] reference/admin/credentials
reading sources... [ 48%] reference/admin/index
reading sources... [ 49%] reference/admin/sharing
reading sources... [ 50%] reference/data/database_connectivity
reading sources... [ 51%] reference/data/dataset
reading sources... [ 52%] reference/data/feature_discovery
reading sources... [ 53%] reference/data/index
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reading sources... [ 60%] reference/mlops/deployment
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reading sources... [ 64%] reference/mlops/model_registry
reading sources... [ 66%] reference/modeling/blueprint
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reading sources... [ 69%] reference/modeling/insights/external_testset
reading sources... [ 70%] reference/modeling/insights/index
reading sources... [ 71%] reference/modeling/insights/model_performance_insights
reading sources... [ 72%] reference/modeling/insights/prediction_explanations
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[rtd-command-info] start-time: 2026-09-01T12:18:03.467377Z, end-time: 2026-09-01T12:18:34.377358Z, duration: 30, exit-code: 0
python -m sphinx -T -b latex -d _build/doctrees -D language=en . $READTHEDOCS_OUTPUT/pdf
Running Sphinx v8.2.3
You have imported from the _experimental directory.
This directory is used for unreleased datarobot features.
Unless you specifically know better, you don't have the access to use this functionality in the app, so this code will not work.
loading translations [en]... done
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making output directory... done
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done
myst v4.0.0: MdParserConfig(commonmark_only=False, gfm_only=False, enable_extensions={'deflist', 'fieldlist', 'strikethrough', 'html_admonition', 'dollarmath', 'attrs_inline', 'substitution', 'replacements', 'tasklist', 'html_image', 'amsmath', 'colon_fence', 'smartquotes'}, disable_syntax=[], all_links_external=False, links_external_new_tab=False, url_schemes=('http', 'https', 'mailto', 'ftp'), ref_domains=None, fence_as_directive=set(), number_code_blocks=[], title_to_header=False, heading_anchors=0, heading_slug_func=None, html_meta={}, footnote_sort=True, footnote_transition=True, words_per_minute=200, substitutions={}, linkify_fuzzy_links=True, dmath_allow_labels=True, dmath_allow_space=True, dmath_allow_digits=True, dmath_double_inline=False, update_mathjax=True, mathjax_classes='tex2jax_process|mathjax_process|math|output_area', enable_checkboxes=False, suppress_warnings=[], highlight_code_blocks=True)
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index
 reference/index
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 reference/modeling/index
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   reference/modeling/insights/prediction_explanations
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   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
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  reference/mlops/a2a_agents
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  reference/admin/sharing
 reference/use_cases/index
  reference/use_cases/use_cases
  client-setup
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  batch-monitoring
  batch-predictions
  binary_data_helpers
  blueprints
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  compliance-documentation
  credentials
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  custom-application-sources
  data-connectivity
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  data-registry
  data-wrangling
  datarobot-models
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  features
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  gen-vector-databases
  gen-testing
  gen-moderation
  gen-syftr-search
  insights
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  key_values
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build succeeded.

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Run 'make' in that directory to run these through (pdf)latex
(use `make latexpdf' here to do that automatically).

[rtd-command-info] start-time: 2026-09-01T12:18:35.289109Z, end-time: 2026-09-01T12:18:35.320424Z, 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: 2026-09-01T12:18:35.390204Z, end-time: 2026-09-01T12:19:06.364156Z, duration: 30, exit-code: 0
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Chapter 4.

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Chapter 6.

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Chapter 7.
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Chapter 9.
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Chapter 10.

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Chapter 11.

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Chapter 13.

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Chapter 14.

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Chapter 17.

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Chapter 18.

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Chapter 19.

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Chapter 30.

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Chapter 39.
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Chapter 40.

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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
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Chapter 47.
[1065]
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Chapter 48.
[1071]

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Chapter 49.

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Chapter 50.

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t_task_result\T1/qtm/m/n/10 , \T1/txtt/m/n/10 Pipelines.get_task_logs\T1/qtm/m/
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[1181] [1182] [1183] [1184]

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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
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[12]
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[15] [16] [17] [18] [19] [20] [21] [22]
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
 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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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
[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
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l.4790 ...gment\PYGZus{}id}\PYG{l+s+s2}{\PYGZdq{}}
                                                  

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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-
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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/txtt/m/n/10 timeseries_settings \T1/qtm/m/n/10 con-fig-ures time se-ries sc
or-ing for [][]\T1/txtt/m/sl/10 BatchPredictionJob.score[][] \T1/qtm/m/n/10 and


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

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

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

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

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

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\T1/qtm/m/n/10 that the job

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[]|\T1/qtm/m/n/10 Strings, ei-

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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 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 "month":[

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[]|\T1/qtm/m/n/10 The date(s)

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\T1/qtm/m/n/10 that the job

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

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\T1/qtm/m/n/10 job def-i-ni-tion that was pre-vi-ously run-ning as a sched-uled
 job, but should now be stopped, sim-ply
[131] [132]
Chapter 5.
[133] [134] [135] [136] [137] [138] [139] [140] [141] [142] [143] [144]
[145] [146] [147]
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\T1/qtm/m/n/10 of [][]\T1/txtt/m/sl/10 datarobot.models.deployment.DeploymentGr
antSharedRoleWithId[][] \T1/qtm/m/n/10 and [][]\T1/txtt/m/sl/10 datarobot.model
s.
[148] [149] [150] [151] [152] [153] [154] [155]
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[156] [157] [158]
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[]\T1/qtm/m/n/10 For deployment-specific met-rics, do not pro-vide model in-for
-ma-tion. For model spe-cific met-rics set
[159] [160]
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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
[161] [162] [163] [164] [165] [166] [167] [168]
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[169]
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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
[170] [171] [172]
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[185]
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[186] [187] [188]
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\T1/qtm/m/n/10 To cre-ate a hosted cus-tom met-ric job from a gallery tem-plate
, use \T1/txtt/m/n/10 dr.registry.Job.
[189] [190] [191]
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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
[192] [193] [194] [195] [196] [197] [198] [199] [200]
Chapter 6.
[201] [202] [203] [204] [205] [206] [207] [208] [209] [210]
Chapter 7.
[211] [212] [213] [214]
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[]\T1/qtm/m/n/10 Use Cases sup-port \T1/txtt/m/n/10 SHARING_ROLE.OWNER\T1/qtm/m
/n/10 , \T1/txtt/m/n/10 SHARING_ROLE.EDITOR\T1/qtm/m/n/10 , \T1/txtt/m/n/10 SHA
RING_ROLE.CONSUMER \T1/qtm/m/n/10 and
[215] [216]
Chapter 8.
[217] [218] [219] [220]
Chapter 9.
[221] [222]
Chapter 10.

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

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

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

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

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[]\T1/txtt/bx/n/10 destination_url \T1/qtm/m/n/10 (\T1/txtt/m/n/10 str\T1/qtm/m
/n/10 ) ^^U The URL for the scored dataset (e.g.:
[247] [248] [249] [250] [251] [252] [253] [254] [255] [256]
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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 !=
[257] [258] [259] [260] [261] [262]
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 , 
[263]
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\T1/qtm/m/it/10 tinue_on_error=False\T1/qtm/m/n/10 , 
[264] [265] [266]
Chapter 16.
[267] [268] [269]
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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 ,
[270] [271] [272] [273]
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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 )
[274]
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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 ,
[275]
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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
[276]
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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
[277]
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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 )
[278]
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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
[279] [280] [281]
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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
[282] [283] [284] [285] [286] [287] [288] [289] [290] [291] [292] [293]
[294] [295] [296]
Chapter 17.
[297] [298] [299] [300]
Chapter 18.
[301]
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[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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[305] [306] [307] [308] [309] [310]
Chapter 19.
[311] [312] [313] [314] [315] [316] [317] [318]
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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
[319] [320]
Chapter 20.
[321] [322] [323]
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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
[324] [325] [326] [327]
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[328] [329] [330] [331] [332] [333] [334] [335]
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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 )
[336]
Underfull \hbox (badness 10000) in paragraph at lines 27430--27436
\T1/qtm/m/n/10 Cre-ate a hosted cus-tom met-ric from a tem-plate. A short-cut f
or 2 calls:
[337] [338] [339] [340] [341] [342]
Chapter 21.
[343] [344] [345] [346]
Chapter 22.

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

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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
[348]
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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 ] 
[349]
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[]\T1/txtt/bx/n/10 network_egress_policy \T1/qtm/m/n/10 (\T1/txtt/m/n/10 dataro
bot.NETWORK_EGRESS_POLICY\T1/qtm/m/n/10 , \T1/qtm/m/it/10 op-tional\T1/qtm/m/n/
10 )

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

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

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[]\T1/txtt/bx/n/10 is_training_data_for_versions_permanently_enabled \T1/qtm/m/
n/10 (\T1/txtt/m/n/10 Optional[bool]\T1/qtm/m/n/10 ) ^^U
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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
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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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\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 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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\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 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 ,
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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 23.
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Chapter 24.
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Chapter 25.
[387]
Underfull \hbox (badness 10000) in paragraph at lines 33336--33339
[]\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-
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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:
[392] [393] [394] [395] [396] [397] [398] [399] [400] [401] [402]
Chapter 26.
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[] \T1/txtt/m/n/10 code[]block:\T1/qtm/m/n/10 : \T1/txtt/m/n/10 python \T1/qtm/
m/n/10 ^^U from datarobot.models.deployment

Underfull \hbox (badness 10000) in paragraph at lines 35627--35630
\T1/qtm/m/n/10 im-port Train-ing-Data-Ex-port dataset_id = Train-ing-Data-Ex-
[409] [410]
Chapter 27.
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\T1/qtm/m/n/10 GIVEN _ NAME / SCHEMA . TABLE _ NAME$[][]' - `[][]$jdbc : DATA _
 SOURCE _ GIVEN _
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Chapter 28.
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[]\T1/txtt/bx/n/10 materialization_destination \T1/qtm/m/n/10 (\T1/txtt/m/n/10 
Optional\T1/qtm/m/n/10 [\T1/txtt/m/n/10 MaterializationDestination\T1/qtm/m/n/1
0 ]) ^^U
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[455] [456] [457] [458]
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[]\T1/txtt/bx/n/10 methods \T1/qtm/m/n/10 (\T1/txtt/m/n/10 List\T1/qtm/m/n/10 [
[][]\T1/txtt/m/sl/10 CategoricalStatsMethods[][]\T1/qtm/m/n/10 ]) ^^U List of m
eth-

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

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Chapter 29.
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[]\T1/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
[479]
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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
[482]
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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
[492]
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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
[493] [494] [495]
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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
[499]
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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
[510]
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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 ) ^
^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
[537]
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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
[540]
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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
[545]
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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
 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
[551] [552] [553]
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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
[554] [555] [556]
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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
[557]
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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 52729--52732
\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
[558] [559]
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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
[560] [561] [562] [563]
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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 53492--53497
[][]\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
[564] [565] [566] [567] [568] [569] [570] [571] [572] [573] [574] [575]
[576]
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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
[577] [578] [579] [580] [581] [582] [583] [584] [585]
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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
[586]
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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
[587] [588] [589]
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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
[594] [595] [596]
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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
[597]
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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
[598] [599] [600] [601] [602] [603] [604] [605] [606] [607] [608]
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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
[609] [610]
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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
[611]
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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 ,
[612]
Underfull \hbox (badness 10000) in paragraph at lines 59146--59149
\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
[613] [614] [615] [616] [617]
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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
[618] [619] [620] [621]
Underfull \hbox (badness 10000) in paragraph at lines 60427--60430
\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
[622] [623]
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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
[624] [625] [626]
Underfull \hbox (badness 10000) in paragraph at lines 60923--60925
[]\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 60959--60961
[]\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
[627] [628] [629]
Underfull \hbox (badness 10000) in paragraph at lines 61285--61294
[]\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 61354--61359
[]\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 61354--61359
[][]\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 61367--61370
\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
[630] [631] [632] [633] [634] [635] [636]
Underfull \hbox (badness 10000) in paragraph at lines 62294--62296
[]\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
[637]
Underfull \hbox (badness 10000) in paragraph at lines 62357--62369
[]\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 62357--62369
\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 62357--62369
\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 62357--62369
\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 62357--62369
\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 62357--62369
\T1/qtm/m/n/10 | Grid-SearchAl-go-rithm.EXHAUSTIVE_SEARCH (de-fault) | | Grid-S
earch-
[638] [639] [640] [641] [642] [643] [644] [645] [646] [647] [648] [649]
[650] [651] [652] [653] [654] [655] [656]
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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
[657] [658] [659] [660] [661] [662]
Chapter 30.
[663] [664] [665] [666] [667] [668] [669] [670]
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[671] [672] [673] [674] [675] [676] [677]
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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 67092--67096
\T1/qtm/m/n/10 To up-date ex-ist-ing `'pre-dic-tions_data_collection'' set-ting
s, see
[678] [679] [680] [681] [682] [683] [684] [685] [686] [687]
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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 68459--68461
\T1/txtt/bx/n/10 roles \T1/qtm/m/n/10 (\T1/txtt/m/n/10 list(or(GrantAccessContr
olWithUsernameValidator\T1/qtm/m/n/10 ,

Underfull \hbox (badness 10000) in paragraph at lines 68459--68461
\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-
[688] [689] [690] [691] [692] [693] [694] [695] [696] [697] [698] [699]
[700] [701] [702] [703] [704] [705] [706] [707]
Underfull \hbox (badness 10000) in paragraph at lines 70971--70975
[]\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 70971--70975
\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 70977--70981
[]\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 70977--70981
\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 71001--71005
[]\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 71001--71005
\T1/qtm/m/n/10 ment. To cre-ate or up-date ex-ist-ing `'pre-dic-tion_warning'' 
set-tings, see
[708] [709] [710] [711]
Underfull \hbox (badness 10000) in paragraph at lines 71470--71472
[]\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-
[712] [713] [714]
Chapter 31.
[715] [716] [717] [718]
Chapter 32.
[719]
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[]\T1/qtm/m/n/10 {`key':'DataRobot', `sum-mary':{`min':0, `max':29815.0, `std-D
ev':6498.029,
[720] [721] [722] [723]
Underfull \hbox (badness 10000) in paragraph at lines 72925--72930
[]\T1/qtm/m/n/10 {`key':'DataRobot', `sum-mary':{`min':0, `max':29815.0, `std-D
ev':6498.029,
[724] [725] [726]
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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
[727] [728]
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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 73619--73622
\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 ,
[729]
Underfull \hbox (badness 10000) in paragraph at lines 73767--73770
[]\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 73767--73770
\T1/txtt/m/n/10 pairwise_conditional_probabilities.statistic_dataframes[(0,1)].

[730] [731] [732] [733] [734] [735] [736] [737]
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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-
[738]
Underfull \hbox (badness 10000) in paragraph at lines 74849--74852
\T1/qtm/m/n/10 Time unit of the fea-ture deriva-tion win-dow. One of \T1/txtt/m
/n/10 datarobot.enums.
[739] [740]
Underfull \hbox (badness 5771) in paragraph at lines 75098--75102
\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-

Underfull \hbox (badness 10000) in paragraph at lines 75130--75133
\T1/qtm/m/n/10 Time unit of the fea-ture deriva-tion win-dow. One of \T1/txtt/m
/n/10 datarobot.enums.
[741]
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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

Underfull \hbox (badness 10000) in paragraph at lines 75179--75181
[]\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.
[742]
Underfull \hbox (badness 10000) in paragraph at lines 75294--75296
[]\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 75302--75306
\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.
[743] [744] [745] [746] [747] [748] [749] [750] [751] [752] [753] [754]
Chapter 33.

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Type  H <return>  for immediate help.
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l.77573 \PYG{g+go}{└── finance/}
                                      

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l.77573 \PYG{g+go}{└── finance/}
                                      

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Type  H <return>  for immediate help.
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l.77573 \PYG{g+go}{└── finance/}
                                      

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Type  H <return>  for immediate help.
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l.77574 \PYG{g+go}{    ├── fy\PYGZhy{}2024/}
                                                  

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See the LaTeX manual or LaTeX Companion for explanation.
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l.77574 \PYG{g+go}{    ├── fy\PYGZhy{}2024/}
                                                  

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l.77574 \PYG{g+go}{    ├── fy\PYGZhy{}2024/}
                                                  

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l.77575 \PYG{g+go}{    │   └── budgets/}
                                                

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l.77575 \PYG{g+go}{    │   └── budgets/}
                                                

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l.77575 \PYG{g+go}{    │   └── budgets/}
                                                

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l.77575 \PYG{g+go}{    │   └── budgets/}
                                                

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l.77576 ...─ Q2\PYGZus{}budget\PYGZus{}2024.pdf}
                                                  

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               not set up for use with LaTeX.

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l.77576 ...─ 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.77576 ...─ 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.77576 ...─ 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.77577 ...   └── 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.77577 ...   └── 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.77577 ...   └── 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
[774]
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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
[778] [779]
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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
[780] [781] [782] [783] [784] [785] [786] [787] [788] [789] [790] [791]
[792] [793] [794] [795] [796] [797] [798]
Chapter 34.
[799] [800] [801] [802] [803] [804] [805] [806]
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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 ,
[807] [808]
Chapter 35.
[809] [810] [811] [812] [813] [814] [815] [816] [817] [818] [819] [820]
[821] [822] [823] [824] [825] [826] [827] [828]
Chapter 36.
[829] [830]
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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 )
[831]
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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 )
[832] [833]
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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 )
[834]
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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 ,
[835] [836] [837] [838] [839] [840]
Chapter 37.
[841] [842] [843] [844] [845] [846] [847] [848] [849] [850] [851] [852]
[853] [854] [855]
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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-
[856]
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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 ,
[857] [858] [859] [860]
Chapter 38.
[861]
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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
[862]
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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 39.
[871]
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[]\T1/txtt/bx/n/10 max_wait \T1/qtm/m/n/10 (\T1/txtt/m/n/10 int\T1/qtm/m/n/10 ,
 \T1/qtm/m/it/10 op-tional\T1/qtm/m/n/10 ) ^^U Max-i-mum num-ber of sec-onds to
 wait when

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hours). Raises
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Chapter 40.

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

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

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

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

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

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

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

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

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\TS1/txtt/m/n/10 '\T1/txtt/m/n/10 f1_score\TS1/txtt/m/n/10 '\T1/txtt/m/n/10 : 0
.0, \TS1/txtt/m/n/10 '\T1/txtt/m/n/10 false_negative_score\TS1/txtt/m/n/10 '\T1
/txtt/m/n/10 : 737, \TS1/txtt/m/n/10 '\T1/txtt/m/n/10 true_negative_score\TS1/t
xtt/m/n/10 '\T1/txtt/m/n/10 : 863,
[875] [876]
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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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[892] [893]
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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.
[894] [895] [896] [897]
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[]\T1/txtt/m/n/10 [ [ True Negative, False Positive ], [ False Negative, True P
ositive
[898] [899] [900] [901] [902] [903] [904]
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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
[905]
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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.
[906] [907]
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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
[908] [909]
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[]\T1/txtt/bx/n/10 resolutions \T1/qtm/m/n/10 (\T1/txtt/m/n/10 list \T1/qtm/m/n
/10 of \T1/txtt/m/n/10 string\T1/qtm/m/n/10 ) ^^U A list of \T1/txtt/m/n/10 dat
arobot.enums.

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

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

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\T1/qtm/m/n/10 Sta-tus back-test/holdout val-i-da-tion. One of \T1/txtt/m/n/10 
datarobot.enums.
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[]\T1/txtt/bx/n/10 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

Underfull \hbox (badness 10000) in paragraph at lines 96480--96483
[]\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 96480--96483
\T1/qtm/m/n/10 de-pen-dence for the data. Since `v2.19' this is op-tional and d
e-faults to
[916] [917] [918] [919] [920] [921] [922] [923] [924]
Underfull \hbox (badness 10000) in paragraph at lines 97607--97610
[]\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 97612--97615
[]\T1/qtm/m/n/10 Com-pute pre-dic-tions for the model and dataset via \T1/txtt/
m/n/10 datarobot.Model.
[925]
Underfull \hbox (badness 6708) in paragraph at lines 97685--97691
\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 97685--97691
\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 97701--97704
[]\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 97706--97709
[]\T1/qtm/m/n/10 Com-pute pre-dic-tions for the model and dataset via \T1/txtt/
m/n/10 datarobot.Model.
[926] [927] [928] [929] [930] [931] [932] [933] [934] [935] [936] [937]
[938]
Chapter 41.
[939] [940] [941] [942] [943] [944] [945] [946]
Chapter 42.
[947] [948] [949] [950]
Chapter 43.
[951] [952] [953] [954]
Underfull \hbox (badness 5696) in paragraph at lines 101374--101382
[]\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 101374--101382
[][]\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
[955] [956] [957] [958] [959] [960]
Chapter 44.
[961] [962]
Chapter 45.
[963] [964] [965] [966] [967] [968] [969] [970] [971] [972]
Overfull \vbox (1.64996pt too high) detected at line 103403
[973] [974] [975] [976] [977] [978]
Chapter 46.
[979]
Underfull \hbox (badness 10000) in paragraph at lines 104275--104277
[]\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
[980] [981] [982] [983] [984] [985]
Underfull \hbox (badness 10000) in paragraph at lines 104909--104915
\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 104909--104915
\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 104993--105000
[]\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 104993--105000
\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 104993--105000
\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
[986]
Underfull \hbox (badness 10000) in paragraph at lines 105002--105006
[]\T1/txtt/bx/n/10 include_bias_mitigation_feature_as_predictor_variable
[987] [988]
Underfull \hbox (badness 7888) in paragraph at lines 105232--105239
\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 105232--105239
\T1/txtt/m/n/10 in the repository (this may be extremely slow). If unspecified,


Underfull \hbox (badness 10000) in paragraph at lines 105255--105261
\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 105255--105261
\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.
[989] [990]
Underfull \hbox (badness 10000) in paragraph at lines 105457--105463
\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 105457--105463
\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 105503--105505
[]\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 ,
[991] [992]
Underfull \hbox (badness 10000) in paragraph at lines 105720--105728
[]\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 105720--105728
\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 105720--105728
\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 105720--105728
\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 105720--105728
\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 105720--105728
\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 105720--105728
\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 105720--105728
\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
[993] [994] [995] [996]
Underfull \hbox (badness 10000) in paragraph at lines 106078--106080
[]\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 106117--106120
[]\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
[997]
Underfull \hbox (badness 10000) in paragraph at lines 106172--106174
[]\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
[998]
Underfull \hbox (badness 10000) in paragraph at lines 106237--106243
[]\T1/txtt/bx/n/10 credential_data \T1/qtm/m/n/10 (\T1/txtt/m/n/10 BasicCredent
ialsDataDict | S3CredentialsDataDict |
[999] [1000]
Overfull \hbox (0.89392pt too wide) in paragraph at lines 106521--106525
[]\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 ,
[1001] [1002] [1003] [1004] [1005] [1006] [1007] [1008] [1009]
Underfull \hbox (badness 10000) in paragraph at lines 107611--107620
[]\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
[1010]
Underfull \hbox (badness 10000) in paragraph at lines 107710--107715
[]\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 107710--107715
[][]\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 107727--107730
\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
[1011] [1012]
Underfull \hbox (badness 10000) in paragraph at lines 107929--107934
\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
[1013]
Underfull \hbox (badness 10000) in paragraph at lines 108107--108112
\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 108107--108112
\T1/qtm/m/n/10 QUEUE_STATUS.INPROGRESS, will re-turn the mod-el-ing jobs that a
re cur-rently
[1014]
Underfull \hbox (badness 10000) in paragraph at lines 108152--108157
\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
[1015] [1016] [1017]
Underfull \hbox (badness 10000) in paragraph at lines 108546--108552
[]\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 108546--108552
\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 ,
[1018]
Underfull \hbox (badness 10000) in paragraph at lines 108565--108572
[]\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 108565--108572
\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 108565--108572
\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 108574--108578
[]\T1/txtt/bx/n/10 include_bias_mitigation_feature_as_predictor_variable

Overfull \hbox (3.89389pt too wide) in paragraph at lines 108609--108613
[]\T1/txtt/bx/n/10 number_of_incremental_learning_iterations_before_best_model_
selection
[1019]
Underfull \hbox (badness 10000) in paragraph at lines 108735--108738
[]\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 108735--108738
\T1/txtt/m/n/10 datarobot.helpers.partitioning_methods.PartitioningMethod \T1/q
tm/m/n/10 that will
[1020] [1021] [1022]
Underfull \hbox (badness 10000) in paragraph at lines 109029--109031
[]\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.
[1023] [1024] [1025]
Underfull \hbox (badness 10000) in paragraph at lines 109530--109537
[]\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 109530--109537
\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 109530--109537
\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
[1026] [1027]
Underfull \hbox (badness 10000) in paragraph at lines 109738--109744
[]\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 109749--109754
\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
[1028] [1029]
Underfull \hbox (badness 6364) in paragraph at lines 109953--109956
[]\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
[1030]
Underfull \hbox (badness 10000) in paragraph at lines 110024--110030
[]\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 110024--110030
\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 110043--110050
[]\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 110043--110050
\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 110058--110060
[]\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 110062--110064
[]\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
[1031]
Underfull \hbox (badness 10000) in paragraph at lines 110107--110111
[]\T1/txtt/bx/n/10 number_of_incremental_learning_iterations_before_best_model_
selection
[1032] [1033]
Underfull \hbox (badness 10000) in paragraph at lines 110516--110519
[]\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 110526--110529
[]\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 ,
[1034]
Underfull \hbox (badness 10000) in paragraph at lines 110537--110540
[]\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 110537--110540
\T1/txtt/m/n/10 DATETIME_AUTOPILOT_DATA_SELECTION_METHOD\T1/qtm/m/n/10 . Whethe
r mod-els cre-ated by the
[1035]
Underfull \hbox (badness 6927) in paragraph at lines 110654--110657
[]\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
[1036] [1037]
Underfull \hbox (badness 10000) in paragraph at lines 110828--110833
[]\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 ,
[1038]
Underfull \hbox (badness 10000) in paragraph at lines 110970--110972
[]\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
[1039]
Underfull \hbox (badness 10000) in paragraph at lines 111049--111052
[]\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 111049--111052
\T1/txtt/m/n/10 DATETIME_AUTOPILOT_DATA_SELECTION_METHOD\T1/qtm/m/n/10 . Whethe
r mod-els cre-ated by the
[1040] [1041]
Underfull \hbox (badness 6927) in paragraph at lines 111222--111225
[]\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
[1042] [1043] [1044] [1045] [1046]
Underfull \hbox (badness 10000) in paragraph at lines 111869--111872
[]\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 111869--111872
\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.
[1047] [1048]
Underfull \hbox (badness 5741) in paragraph at lines 112088--112096
\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
[1049] [1050] [1051] [1052] [1053] [1054] [1055] [1056]
Underfull \hbox (badness 10000) in paragraph at lines 113337--113339
[]\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
[1057] [1058] [1059] [1060] [1061] [1062] [1063] [1064]
Chapter 47.
[1065]
Underfull \vbox (badness 10000) detected at line 114257
[1066]
Underfull \hbox (badness 10000) in paragraph at lines 114338--114342
[]\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 114338--114342
\T1/qtm/m/n/10 be present if \T1/txtt/m/n/10 explanation_algorithm \T1/qtm/m/n/
10 was set to
[1067] [1068] [1069] [1070]
Chapter 48.
[1071] [1072]
Underfull \hbox (badness 7099) in paragraph at lines 115032--115035
[]\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 ,
[1073]
Underfull \hbox (badness 7099) in paragraph at lines 115074--115077
[]\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 ,
[1074] [1075] [1076] [1077] [1078]
Chapter 49.
[1079] [1080] [1081] [1082] [1083] [1084] [1085] [1086] [1087] [1088]
Chapter 50.

Underfull \hbox (badness 8075) in paragraph at lines 116768--116770
[]\T1/qtm/m/n/10 Sched-ules are now flat un-der the pipeline: \T1/txtt/m/n/10 P
ipelines.list_schedules \T1/qtm/m/n/10 and \T1/txtt/m/n/10 Pipelines.

Underfull \hbox (badness 10000) in paragraph at lines 116772--116774
[]\T1/txtt/m/n/10 Pipelines.create_image \T1/qtm/m/n/10 and \T1/txtt/m/n/10 Pip
elines.update_image \T1/qtm/m/n/10 ac-cept \T1/txtt/m/n/10 python_base_image\T1
/qtm/m/n/10 ;
[1089]
Underfull \hbox (badness 6559) in paragraph at lines 116802--116804
[]\T1/qtm/m/n/10 Fixed the ex-per-i-men-tal pipelines \T1/txtt/m/n/10 list_* \T
1/qtm/m/n/10 meth-ods (\T1/txtt/m/n/10 Pipelines.list\T1/qtm/m/n/10 , \T1/txtt/
m/n/10 Pipelines.list_versions\T1/qtm/m/n/10 ,

Underfull \hbox (badness 6691) in paragraph at lines 116802--116804
\T1/txtt/m/n/10 Pipelines.list_inputs\T1/qtm/m/n/10 , \T1/txtt/m/n/10 Pipelines
.list_runs\T1/qtm/m/n/10 , \T1/txtt/m/n/10 Pipelines.list_schedules\T1/qtm/m/n/
10 , and \T1/txtt/m/n/10 Pipelines.

Underfull \hbox (badness 10000) in paragraph at lines 116810--116812
[]\T1/qtm/m/n/10 Added \T1/txtt/m/n/10 node_id \T1/qtm/m/n/10 sup-port to the e
x-per-i-men-tal pipelines per-task read meth-ods (\T1/txtt/m/n/10 Pipelines.

Underfull \hbox (badness 10000) in paragraph at lines 116810--116812
\T1/txtt/m/n/10 get_task_execution\T1/qtm/m/n/10 , \T1/txtt/m/n/10 Pipelines.ge
t_task_result\T1/qtm/m/n/10 , \T1/txtt/m/n/10 Pipelines.get_task_logs\T1/qtm/m/
n/10 , \T1/txtt/m/n/10 Pipelines.

Underfull \hbox (badness 10000) in paragraph at lines 116826--116828
[]\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
[1090]
Overfull \hbox (46.20569pt too wide) in paragraph at lines 116872--116874
[]\T1/qtm/m/n/10 Moved [][]\T1/txtt/m/sl/10 CustomScoringMetric[][]\T1/qtm/m/n/
10 , [][]\T1/txtt/m/sl/10 CustomScoringMetricVersion[][]\T1/qtm/m/n/10 , and []
[]\T1/txtt/m/sl/10 CustomScoringMetricVersionFileContents[][]

Underfull \hbox (badness 10000) in paragraph at lines 116909--116911
[]\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 116913--116915
[]\T1/qtm/m/n/10 Added [][]\T1/txtt/m/sl/10 CustomScoringMetricVersionFileConte
nts[][] \T1/qtm/m/n/10 and [][]\T1/txtt/m/sl/10 CustomScoringMetricVersion.

Underfull \hbox (badness 7064) in paragraph at lines 116917--116919
[]\T1/qtm/m/n/10 Fixed [][]\T1/txtt/m/sl/10 CustomScoringMetric.list[][] \T1/qt
m/m/n/10 so \T1/txtt/m/n/10 isArchived \T1/qtm/m/n/10 is omit-ted when list-ing
 non-archived met-rics
[1091]
Underfull \hbox (badness 10000) in paragraph at lines 116946--116948
[]\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 116946--116948
\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
[1092]
Underfull \hbox (badness 10000) in paragraph at lines 117048--117050
\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.
[1093]
Underfull \hbox (badness 10000) in paragraph at lines 117167--117170
[]\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 117167--117170
\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

Underfull \hbox (badness 10000) in paragraph at lines 117214--117216
[]\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 117218--117220
[]\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 117218--117220
\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
[1094] [1095] [1096]
Underfull \hbox (badness 10000) in paragraph at lines 117467--117470
[]\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
[1097]
Underfull \hbox (badness 10000) in paragraph at lines 117544--117547
[]\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 117544--117547
\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.
[1098]
Underfull \hbox (badness 10000) in paragraph at lines 117663--117665
[]\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 117679--117681
[]\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.
[1099]
Underfull \hbox (badness 10000) in paragraph at lines 117767--117769
[]\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 117771--117773
[]\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
[1100]
Underfull \hbox (badness 8038) in paragraph at lines 117863--117865
[]\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 117899--117901
[]\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
[1101]
Underfull \hbox (badness 10000) in paragraph at lines 117998--118000
[]\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 117998--118000
\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 117998--118000
\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 117998--118000
\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
[1102]
Overfull \hbox (1.74904pt too wide) in paragraph at lines 118145--118147
[]\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[][]
[1103]
Underfull \hbox (badness 10000) in paragraph at lines 118194--118196
[]\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

Underfull \hbox (badness 10000) in paragraph at lines 118231--118233
[]\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
[1104] [1105]
Underfull \hbox (badness 10000) in paragraph at lines 118406--118408
[]\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 118454--118456
[]\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-

Underfull \hbox (badness 10000) in paragraph at lines 118466--118469
[]\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 118466--118469
[][]\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 118471--118473
[]\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
[1106]
Underfull \hbox (badness 10000) in paragraph at lines 118541--118543
[]\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 ,

Underfull \hbox (badness 10000) in paragraph at lines 118554--118556
[]\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
[1107] [1108] [1109]
Underfull \hbox (badness 10000) in paragraph at lines 118966--118969
[]\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 ,
[1110]
Underfull \hbox (badness 10000) in paragraph at lines 119032--119034
[]\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
[1111]
Underfull \hbox (badness 10000) in paragraph at lines 119110--119112
[]\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 119119--119126
[]\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 119146--119148
[]\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.

Underfull \hbox (badness 10000) in paragraph at lines 119166--119168
[]\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.
[1112]
Overfull \hbox (27.38004pt too wide) in paragraph at lines 119228--119230
[]\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'

Underfull \hbox (badness 10000) in paragraph at lines 119291--119294
[]\T1/txtt/m/n/10 datarobot._experimental.models.time_series_wrangling_template
.user_flow_template
[1113] [1114]
Underfull \hbox (badness 10000) in paragraph at lines 119462--119465
[]\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

Underfull \hbox (badness 10000) in paragraph at lines 119592--119594
[]\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
[1115] [1116]
Underfull \hbox (badness 10000) in paragraph at lines 119731--119735
[]\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:

Underfull \hbox (badness 10000) in paragraph at lines 119811--119813
[][][]\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
[1117]
Underfull \hbox (badness 10000) in paragraph at lines 119886--119889
[]\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 119886--119889
\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
[1118]
Underfull \hbox (badness 10000) in paragraph at lines 119958--119960
[]\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.
[1119]
Underfull \hbox (badness 10000) in paragraph at lines 120118--120120
[]\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.
[1120] [1121] [1122]
Underfull \hbox (badness 10000) in paragraph at lines 120473--120475
[]\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.
[1123] [1124]
Underfull \hbox (badness 10000) in paragraph at lines 120700--120702
\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
[1125] [1126] [1127]
Underfull \hbox (badness 10000) in paragraph at lines 121157--121159
[]\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 121161--121163
[]\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 121165--121167
[]\T1/qtm/m/n/10 If the user con-fig-ures the client via env vars, then set the
 env var
[1128] [1129]
Underfull \hbox (badness 10000) in paragraph at lines 121340--121342
[]\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 121364--121366
\T1/txtt/m/sl/10 PredictionExplanations.get_all_as_dataframe()[][] \T1/qtm/m/n/
10 and [][]\T1/txtt/m/sl/10 datarobot.PredictionExplanations.
[1130]
Underfull \hbox (badness 10000) in paragraph at lines 121493--121496
[]\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 121503--121506
[]\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 121518--121521
[]\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 121523--121526
[]\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.
[1131] [1132]
Underfull \hbox (badness 10000) in paragraph at lines 121685--121689
[]\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 121685--121689
[][]\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 121691--121696
[]\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 121691--121696
[][]\T1/txtt/m/sl/10 DataEngineQueryGenerator.prepare_prediction_dataset_from_c
atalog[][] \T1/qtm/m/n/10 that ap-ply time se-ries
[1133]
Underfull \hbox (badness 10000) in paragraph at lines 121801--121803
[]\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
[1134] [1135]
Underfull \hbox (badness 10000) in paragraph at lines 122086--122089
[]\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 122091--122093
[]\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.
[1136]
Underfull \hbox (badness 10000) in paragraph at lines 122174--122176
[][][]\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 122178--122180
[][][]\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

Underfull \hbox (badness 6364) in paragraph at lines 122210--122212
[]\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.
[1137]
Underfull \hbox (badness 10000) in paragraph at lines 122333--122340
[]\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 122333--122340
[][]\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
[1138] [1139]
Underfull \hbox (badness 10000) in paragraph at lines 122533--122535
[]\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 122551--122554
[]\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
[1140] [1141]
Underfull \hbox (badness 10000) in paragraph at lines 122803--122806
[]\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 ,
[1142]
Underfull \hbox (badness 6268) in paragraph at lines 122904--122907
[]\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 122939--122943
[]\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

Underfull \hbox (badness 10000) in paragraph at lines 122949--122957
[]\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 122949--122957
\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 122949--122957
\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 122949--122957
\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 122949--122957
\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 122949--122957
[][]\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.
[1143]
Underfull \hbox (badness 10000) in paragraph at lines 123099--123102
[]\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
[1144]
Underfull \hbox (badness 10000) in paragraph at lines 123175--123178
[]\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.
[1145] [1146]
Underfull \hbox (badness 10000) in paragraph at lines 123420--123423
[]\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 123425--123428
[]\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.
[1147]
Underfull \hbox (badness 7907) in paragraph at lines 123596--123601
[]\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:

Underfull \hbox (badness 10000) in paragraph at lines 123638--123641
[]\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.
[1148]
Underfull \hbox (badness 10000) in paragraph at lines 123714--123719
[]\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 123714--123719
\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.

Underfull \hbox (badness 10000) in paragraph at lines 123739--123747
[][]\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 123739--123747
\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.
[1149]
Underfull \hbox (badness 10000) in paragraph at lines 123815--123818
[]\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 123820--123826
[]\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 123820--123826
\T1/txtt/m/sl/10 FeatureAssociationMatrixDetails[][] \T1/qtm/m/n/10 and [][]\T1
/txtt/m/sl/10 datarobot.models.FeatureAssociationFeaturelists[][]

Underfull \hbox (badness 10000) in paragraph at lines 123850--123857
[]\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 123850--123857
\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 ,
[1150]
Underfull \hbox (badness 8170) in paragraph at lines 123986--123989
[]\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 123991--123994
\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
[1151]
Underfull \hbox (badness 10000) in paragraph at lines 124074--124079
[]\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 124099--124101
[]\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.
[1152]
Underfull \hbox (badness 10000) in paragraph at lines 124178--124182
[]\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

Underfull \hbox (badness 10000) in paragraph at lines 124221--124224
[]\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:
[1153]
Underfull \hbox (badness 10000) in paragraph at lines 124364--124373
[]\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.
[1154]
Underfull \hbox (badness 10000) in paragraph at lines 124375--124382
[]\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.
[1155]
Underfull \hbox (badness 10000) in paragraph at lines 124566--124570
[]\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
[1156]
Underfull \hbox (badness 8132) in paragraph at lines 124604--124609
[]\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 124624--124628
[]\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 124624--124628
[][]\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 124648--124650
[]\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 .
[1157] [1158]
Underfull \hbox (badness 10000) in paragraph at lines 124892--124896
[]\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.

Underfull \hbox (badness 10000) in paragraph at lines 124965--124967
[]\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 124965--124967
[][]\T1/txtt/m/sl/10 Deployment.get_prediction_intervals_settings[][] \T1/qtm/m
/n/10 and [][]\T1/txtt/m/sl/10 Deployment.
[1159]
Overfull \hbox (7.70421pt too wide) in paragraph at lines 124998--125000
[]\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 125018--125021
[]\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.

Underfull \hbox (badness 7925) in paragraph at lines 125055--125057
[]\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 125063--125068
[]\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
[1160]
Underfull \hbox (badness 10000) in paragraph at lines 125154--125156
[]\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 125154--125156
\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
[1161]
Underfull \hbox (badness 7451) in paragraph at lines 125243--125246
[]\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 125243--125246
\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
[1162] [1163]
Underfull \hbox (badness 10000) in paragraph at lines 125450--125459
[]\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 125450--125459
[][]\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 125489--125491
[][][]\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
[1164] [1165]
Underfull \hbox (badness 10000) in paragraph at lines 125611--125614
[]\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 125630--125635
[]\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 125630--125635
\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.

Underfull \hbox (badness 10000) in paragraph at lines 125661--125665
[]\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.
[1166]
Underfull \hbox (badness 10000) in paragraph at lines 125754--125762
[]\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 125754--125762
\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

Underfull \hbox (badness 10000) in paragraph at lines 125777--125780
[]\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 125787--125789
[]\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.
[1167]
Underfull \hbox (badness 10000) in paragraph at lines 125829--125833
[][][]\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.
[1168]
Underfull \hbox (badness 10000) in paragraph at lines 125946--125950
[]\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 125946--125950
\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 125966--125970
[]\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.

Underfull \hbox (badness 5302) in paragraph at lines 125992--125996
\T1/qtm/m/n/10 re-cated and will be re-moved in 2.14. Use [][]\T1/txtt/m/sl/10 
datarobot.DatetimePartitioningSpecification.
[1169] [1170] [1171]
Underfull \hbox (badness 10000) in paragraph at lines 126266--126269
[]\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.
[1172] [1173]
Underfull \hbox (badness 10000) in paragraph at lines 126459--126461
[]\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,
[1174]
Underfull \hbox (badness 10000) in paragraph at lines 126563--126567
[]\T1/qtm/m/n/10 (Only rel-e-vant for on-premise users with a Stan-dalone Scor-
ing clus-ter.) Meth-ods
[1175]
Underfull \hbox (badness 6268) in paragraph at lines 126678--126682
[]\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.
[1176]
Underfull \hbox (badness 10000) in paragraph at lines 126814--126816
[]\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.
[1177] [1178] [1179]
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(./datarobot-public-api-client.out) (./datarobot-public-api-client.out)
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(/usr/share/texlive/texmf-dist/tex/latex/amsfonts/umsb.fd) [1{/var/lib/texmf/fo
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) [6] [1] [2]
Chapter 1.

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[][][]\T1/qtm/m/it/10 Ad-min-is-tra-
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Chapter 2.
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[][][]\T1/txtt/m/sl/10 Dataset.create_from_url[][] \T1/qtm/m/n/10 takes CSV dat
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
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[15] [16] [17] [18] [19] [20] [21] [22]
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
 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
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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
[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-
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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/txtt/m/n/10 timeseries_settings \T1/qtm/m/n/10 con-fig-ures time se-ries sc
or-ing for [][]\T1/txtt/m/sl/10 BatchPredictionJob.score[][] \T1/qtm/m/n/10 and


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

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[]\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/qtm/m/n/10 The hour(s)

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[129]
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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
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Chapter 5.
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[145] [146] [147]
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\T1/qtm/m/n/10 of [][]\T1/txtt/m/sl/10 datarobot.models.deployment.DeploymentGr
antSharedRoleWithId[][] \T1/qtm/m/n/10 and [][]\T1/txtt/m/sl/10 datarobot.model
s.
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[]\T1/qtm/m/n/10 For deployment-specific met-rics, do not pro-vide model in-for
-ma-tion. For model spe-cific met-rics set
[159] [160]
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\T1/qtm/m/n/10 To re-port ag-gre-gated cus-tom met-rics val-ues from a dataset 
in the Data Reg-istry, use the
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[169]
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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
[170] [171] [172]
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\T1/qtm/m/n/10 To cre-ate a hosted cus-tom met-ric job from a gallery tem-plate
, use \T1/txtt/m/n/10 dr.registry.Job.
[189] [190] [191]
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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
[192] [193] [194] [195] [196] [197] [198] [199] [200]
Chapter 6.
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Chapter 7.
[211] [212] [213] [214]
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[]\T1/qtm/m/n/10 Use Cases sup-port \T1/txtt/m/n/10 SHARING_ROLE.OWNER\T1/qtm/m
/n/10 , \T1/txtt/m/n/10 SHARING_ROLE.EDITOR\T1/qtm/m/n/10 , \T1/txtt/m/n/10 SHA
RING_ROLE.CONSUMER \T1/qtm/m/n/10 and
[215] [216]
Chapter 8.
[217] [218] [219] [220]
Chapter 9.
[221] [222]
Chapter 10.

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

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[]\T1/txtt/bx/n/10 llm_default_model \T1/qtm/m/n/10 (\T1/txtt/m/n/10 str \T1/qt
m/m/n/10 or \T1/txtt/m/n/10 None\T1/qtm/m/n/10 ) ^^U Model name to re-quest. De
-faults to
[225] [226]
Chapter 11.
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Chapter 12.
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Chapter 13.
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Chapter 14.
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[]\T1/txtt/bx/n/10 source_url \T1/qtm/m/n/10 (\T1/txtt/m/n/10 str\T1/qtm/m/n/10
 ) ^^U The URL for the pre-dic-tion dataset (e.g.:

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

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

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[]\T1/txtt/bx/n/10 destination_url \T1/qtm/m/n/10 (\T1/txtt/m/n/10 str\T1/qtm/m
/n/10 ) ^^U The URL for the scored dataset (e.g.:
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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 , 
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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 ,
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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 )
[274]
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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 ,
[275]
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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
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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
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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 )
[278]
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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
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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
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[294] [295] [296]
Chapter 17.
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Chapter 18.
[301]
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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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[305] [306] [307] [308] [309] [310]
Chapter 19.
[311] [312] [313] [314] [315] [316] [317] [318]
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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
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Chapter 20.
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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 )
[336]
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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:
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Chapter 21.
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Chapter 22.

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

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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
[348]
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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 ] 
[349]
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[]\T1/txtt/bx/n/10 network_egress_policy \T1/qtm/m/n/10 (\T1/txtt/m/n/10 dataro
bot.NETWORK_EGRESS_POLICY\T1/qtm/m/n/10 , \T1/qtm/m/it/10 op-tional\T1/qtm/m/n/
10 )

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

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

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[]\T1/txtt/bx/n/10 is_training_data_for_versions_permanently_enabled \T1/qtm/m/
n/10 (\T1/txtt/m/n/10 Optional[bool]\T1/qtm/m/n/10 ) ^^U
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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
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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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\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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\T1/qtm/m/n/10 pub-lic net-work. Val-ues: [\T1/qtm/m/it/10 datarobot.NETWORK_EG
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[356]
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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
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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 placed in the model. If the list is of strings, then base-names 
will be

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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 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/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/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 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 datarobot.enums.EXECUTION_ENVIRONMENT_VERSION_BUILD_STATUS
[372] [373] [374] [375] [376]
Chapter 23.
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Chapter 24.
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Chapter 25.
[387]
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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-
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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:
[392] [393] [394] [395] [396] [397] [398] [399] [400] [401] [402]
Chapter 26.
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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 27.
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\T1/qtm/m/n/10 GIVEN _ NAME / SCHEMA . TABLE _ NAME$[][]' - `[][]$jdbc : DATA _
 SOURCE _ GIVEN _
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Chapter 28.
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[]\T1/txtt/bx/n/10 materialization_destination \T1/qtm/m/n/10 (\T1/txtt/m/n/10 
Optional\T1/qtm/m/n/10 [\T1/txtt/m/n/10 MaterializationDestination\T1/qtm/m/n/1
0 ]) ^^U
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[]\T1/txtt/bx/n/10 methods \T1/qtm/m/n/10 (\T1/txtt/m/n/10 List\T1/qtm/m/n/10 [
[][]\T1/txtt/m/sl/10 CategoricalStatsMethods[][]\T1/qtm/m/n/10 ]) ^^U List of m
eth-

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

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Chapter 29.
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[]\T1/txtt/bx/n/10 source \T1/qtm/m/n/10 (\T1/txtt/m/n/10 str\T1/qtm/m/n/10 ) ^
^U Con-fu-sion chart source. Check
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[]\T1/txtt/bx/n/10 fairness_metrics_set \T1/qtm/m/n/10 (\T1/txtt/m/n/10 Optiona
l[str]\T1/qtm/m/n/10 ) ^^U Can be one of
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[]\T1/qtm/m/n/10 Each list item is a dict with the keys \T1/txtt/m/n/10 feature
Name\T1/qtm/m/n/10 , \T1/txtt/m/n/10 impactNormalized\T1/qtm/m/n/10 ,

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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 ) ^
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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
/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 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
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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
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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 ) ^
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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 ) ^
^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 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/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 ) ^
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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
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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/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 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
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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/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/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 source \T1/qtm/m/n/10 (\T1/txtt/m/n/10 str\T1/qtm/m/n/10 ) ^
^U Con-fu-sion chart source. Check
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[]\T1/txtt/bx/n/10 fairness_metrics_set \T1/qtm/m/n/10 (\T1/txtt/m/n/10 Optiona
l[str]\T1/qtm/m/n/10 ) ^^U Can be one of
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[]\T1/qtm/m/n/10 Each list item is a dict with the keys \T1/txtt/m/n/10 feature
Name\T1/qtm/m/n/10 , \T1/txtt/m/n/10 impactNormalized\T1/qtm/m/n/10 ,
[612]
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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/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

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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

Underfull \hbox (badness 7133) in paragraph at lines 61367--61370
\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
[630] [631] [632] [633] [634] [635] [636]
Underfull \hbox (badness 10000) in paragraph at lines 62294--62296
[]\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
[637]
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[]\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 62357--62369
\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 62357--62369
\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 62357--62369
\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 62357--62369
\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 62357--62369
\T1/qtm/m/n/10 | Grid-SearchAl-go-rithm.EXHAUSTIVE_SEARCH (de-fault) | | Grid-S
earch-
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[650] [651] [652] [653] [654] [655] [656]
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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
[657] [658] [659] [660] [661] [662]
Chapter 30.
[663] [664] [665] [666] [667] [668] [669] [670]
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[671] [672] [673] [674] [675] [676] [677]
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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 67092--67096
\T1/qtm/m/n/10 To up-date ex-ist-ing `'pre-dic-tions_data_collection'' set-ting
s, see
[678] [679] [680] [681] [682] [683] [684] [685] [686] [687]
Underfull \hbox (badness 10000) in paragraph at lines 68424--68426
[]\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 68459--68461
\T1/txtt/bx/n/10 roles \T1/qtm/m/n/10 (\T1/txtt/m/n/10 list(or(GrantAccessContr
olWithUsernameValidator\T1/qtm/m/n/10 ,

Underfull \hbox (badness 10000) in paragraph at lines 68459--68461
\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-
[688] [689] [690] [691] [692] [693] [694] [695] [696] [697] [698] [699]
[700] [701] [702] [703] [704] [705] [706] [707]
Underfull \hbox (badness 10000) in paragraph at lines 70971--70975
[]\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 70971--70975
\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 70977--70981
[]\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 70977--70981
\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 71001--71005
\T1/qtm/m/n/10 ment. To cre-ate or up-date ex-ist-ing `'pre-dic-tion_warning'' 
set-tings, see
[708] [709] [710] [711]
Underfull \hbox (badness 10000) in paragraph at lines 71470--71472
[]\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-
[712] [713] [714]
Chapter 31.
[715] [716] [717] [718]
Chapter 32.
[719]
Underfull \hbox (badness 10000) in paragraph at lines 72383--72388
[]\T1/qtm/m/n/10 {`key':'DataRobot', `sum-mary':{`min':0, `max':29815.0, `std-D
ev':6498.029,
[720] [721] [722] [723]
Underfull \hbox (badness 10000) in paragraph at lines 72925--72930
[]\T1/qtm/m/n/10 {`key':'DataRobot', `sum-mary':{`min':0, `max':29815.0, `std-D
ev':6498.029,
[724] [725] [726]
Underfull \hbox (badness 5331) in paragraph at lines 73378--73380
[]\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
[727] [728]
Underfull \hbox (badness 10000) in paragraph at lines 73619--73622
[]\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 73619--73622
\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 ,
[729]
Underfull \hbox (badness 10000) in paragraph at lines 73767--73770
[]\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 73767--73770
\T1/txtt/m/n/10 pairwise_conditional_probabilities.statistic_dataframes[(0,1)].

[730] [731] [732] [733] [734] [735] [736] [737]
Underfull \hbox (badness 5771) in paragraph at lines 74817--74821
\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-
[738]
Underfull \hbox (badness 10000) in paragraph at lines 74849--74852
\T1/qtm/m/n/10 Time unit of the fea-ture deriva-tion win-dow. One of \T1/txtt/m
/n/10 datarobot.enums.
[739] [740]
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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-

Underfull \hbox (badness 10000) in paragraph at lines 75130--75133
\T1/qtm/m/n/10 Time unit of the fea-ture deriva-tion win-dow. One of \T1/txtt/m
/n/10 datarobot.enums.
[741]
Underfull \hbox (badness 10000) in paragraph at lines 75150--75152
[]\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

Underfull \hbox (badness 10000) in paragraph at lines 75179--75181
[]\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

Underfull \hbox (badness 6641) in paragraph at lines 75187--75191
\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.
[742]
Underfull \hbox (badness 10000) in paragraph at lines 75294--75296
[]\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 75302--75306
\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.
[743] [744] [745] [746] [747] [748] [749] [750] [751] [752] [753] [754]
Chapter 33.

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Type  H <return>  for immediate help.
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l.77573 \PYG{g+go}{└── finance/}
                                      

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l.77573 \PYG{g+go}{└── finance/}
                                      

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l.77573 \PYG{g+go}{└── finance/}
                                      

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l.77574 \PYG{g+go}{    ├── fy\PYGZhy{}2024/}
                                                  

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l.77574 \PYG{g+go}{    ├── fy\PYGZhy{}2024/}
                                                  

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l.77574 \PYG{g+go}{    ├── fy\PYGZhy{}2024/}
                                                  

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l.77575 \PYG{g+go}{    │   └── budgets/}
                                                

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l.77575 \PYG{g+go}{    │   └── budgets/}
                                                

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l.77575 \PYG{g+go}{    │   └── budgets/}
                                                

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l.77575 \PYG{g+go}{    │   └── budgets/}
                                                

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 ...                                              
                                                  
l.77576 ...─ Q2\PYGZus{}budget\PYGZus{}2024.pdf}
                                                  

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l.77576 ...─ Q2\PYGZus{}budget\PYGZus{}2024.pdf}
                                                  

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l.77576 ...─ 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.77576 ...─ 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.77577 ...   └── employee\PYGZhy{}list.csv}
                                                  

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Type  H <return>  for immediate help.
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l.77577 ...   └── employee\PYGZhy{}list.csv}
                                                  

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Type  H <return>  for immediate help.
 ...                                              
                                                  
l.77577 ...   └── employee\PYGZhy{}list.csv}
                                                  
[764] [765] [766] [767] [768] [769] [770] [771] [772] [773]
Underfull \hbox (badness 10000) in paragraph at lines 78658--78665
\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.

Underfull \hbox (badness 6961) in paragraph at lines 78658--78665
\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
[774]
Underfull \hbox (badness 10000) in paragraph at lines 78799--78801
[]\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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[775] [776] [777]
Underfull \hbox (badness 10000) in paragraph at lines 78895--78902
\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.

Underfull \hbox (badness 6961) in paragraph at lines 78895--78902
\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
[778] [779]
Underfull \hbox (badness 10000) in paragraph at lines 79146--79148
[]\T1/txtt/bx/n/10 NotImplementedError \T1/qtm/m/n/10 ^^U If at-tempt-ing to up
-load a di-rec-tory and
[780] [781] [782] [783] [784] [785] [786] [787] [788] [789] [790] [791]
[792] [793] [794] [795] [796] [797] [798]
Chapter 34.
[799] [800] [801] [802] [803] [804] [805] [806]
Underfull \hbox (badness 10000) in paragraph at lines 82613--82618
[]\T1/txtt/bx/n/10 vector_database_network_egress_policy \T1/qtm/m/n/10 (\T1/tx
tt/m/n/10 Optional[str]\T1/qtm/m/n/10 ) ^^U Only

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

Underfull \hbox (badness 10000) in paragraph at lines 82613--82618
\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 82613--82618
\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 ,
[807] [808]
Chapter 35.
[809] [810] [811] [812] [813] [814] [815] [816] [817] [818] [819] [820]
[821] [822] [823] [824] [825] [826] [827] [828]
Chapter 36.
[829] [830]
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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 )
[831]
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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 )
[832] [833]
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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 )
[834]
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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-

Underfull \hbox (badness 10000) in paragraph at lines 86076--86080
\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-

Underfull \hbox (badness 10000) in paragraph at lines 86135--86139
\T1/qtm/m/n/10 work. Val-ues: [\T1/qtm/m/it/10 datarobot.NETWORK_EGRESS_POLICY.
NONE\T1/qtm/m/n/10 ,
[835] [836] [837] [838] [839] [840]
Chapter 37.
[841] [842] [843] [844] [845] [846] [847] [848] [849] [850] [851] [852]
[853] [854] [855]
Underfull \hbox (badness 6592) in paragraph at lines 88699--88701
[]\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-
[856]
Underfull \hbox (badness 10000) in paragraph at lines 88817--88819
[]\T1/txtt/bx/n/10 response_moderation_configuration \T1/qtm/m/n/10 (\T1/txtt/m
/n/10 ModerationConfigurationWithoutID\T1/qtm/m/n/10 ,
[857] [858] [859] [860]
Chapter 38.
[861]
Underfull \hbox (badness 10000) in paragraph at lines 89368--89370
[]\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]
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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
[863] [864] [865] [866] [867]
Underfull \hbox (badness 10000) in paragraph at lines 90234--90236
[]\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
[868] [869] [870]
Chapter 39.
[871]
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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

Underfull \hbox (badness 10000) in paragraph at lines 90643--90647
\T1/txtt/m/n/10 wait_for_completion=True\T1/qtm/m/n/10 . De-faults to 10800 (3 
hours). Raises
[872] [873] [874]
Chapter 40.

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

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

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

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

Underfull \hbox (badness 10000) in paragraph at lines 90837--90849
\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,
[875] [876]
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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}, ... ]
[877] [878] [879]
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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.
[880] [881] [882] [883] [884] [885] [886] [887] [888] [889] [890] [891]
[892] [893]
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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.
[894] [895] [896] [897]
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[]\T1/txtt/m/n/10 [ [ True Negative, False Positive ], [ False Negative, True P
ositive
[898] [899] [900] [901] [902] [903] [904]
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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
[905]
Underfull \hbox (badness 10000) in paragraph at lines 95044--95046
\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.
[906] [907]
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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
[908] [909]
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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.
[910] [911] [912] [913] [914] [915]
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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

Underfull \hbox (badness 10000) in paragraph at lines 96480--96483
\T1/qtm/m/n/10 de-pen-dence for the data. Since `v2.19' this is op-tional and d
e-faults to
[916] [917] [918] [919] [920] [921] [922] [923] [924]
Underfull \hbox (badness 10000) in paragraph at lines 97607--97610
[]\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 97612--97615
[]\T1/qtm/m/n/10 Com-pute pre-dic-tions for the model and dataset via \T1/txtt/
m/n/10 datarobot.Model.
[925]
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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

Underfull \hbox (badness 6927) in paragraph at lines 97685--97691
\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 97701--97704
[]\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 97706--97709
[]\T1/qtm/m/n/10 Com-pute pre-dic-tions for the model and dataset via \T1/txtt/
m/n/10 datarobot.Model.
[926] [927] [928] [929] [930] [931] [932] [933] [934] [935] [936] [937]
[938]
Chapter 41.
[939] [940] [941] [942] [943] [944] [945] [946]
Chapter 42.
[947] [948] [949] [950]
Chapter 43.
[951] [952] [953] [954]
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[]\T1/txtt/bx/n/10 deduplication_key \T1/qtm/m/n/10 (\T1/txtt/m/n/10 str \T1/qt
m/m/n/10 or \T1/txtt/m/n/10 None\T1/qtm/m/n/10 ) ^^U Op-tional. A 1-72 char-ac-
ter key that

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[][]\T1/txtt/m/sl/10 MemorySessionDeduplicationError[][]\T1/qtm/m/n/10 , which 
car-ries \T1/txtt/m/n/10 existing_session_id \T1/qtm/m/n/10 so
[955] [956] [957] [958] [959] [960]
Chapter 44.
[961] [962]
Chapter 45.
[963] [964] [965] [966] [967] [968] [969] [970] [971] [972]
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[973] [974] [975] [976] [977] [978]
Chapter 46.
[979]
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[]\T1/txtt/bx/n/10 catalog_version_id \T1/qtm/m/n/10 (\T1/txtt/m/n/10 str\T1/qt
m/m/n/10 ) ^^U (New in ver-sion v3.0) The ob-ject ID of the
[980] [981] [982] [983] [984] [985]
Underfull \hbox (badness 10000) in paragraph at lines 104909--104915
\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 104909--104915
\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 104993--105000
[]\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 104993--105000
\T1/qtm/m/n/10 datarobot.enums.BiasMitigationTechnique Op-tions: - `pre-pro-ces
s-in-gReweigh-ing' -

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\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
[986]
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[]\T1/txtt/bx/n/10 include_bias_mitigation_feature_as_predictor_variable
[987] [988]
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\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

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\T1/txtt/m/n/10 in the repository (this may be extremely slow). If unspecified,


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\T1/qtm/m/n/10 the [][]\T1/qtm/m/it/10 Par-ti-tion Classes[][] \T1/qtm/m/n/10 d
e-fined in \T1/txtt/m/n/10 datarobot.helpers.partitioning_methods\T1/qtm/m/n/10
 .

Underfull \hbox (badness 10000) in paragraph at lines 105255--105261
\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.
[989] [990]
Underfull \hbox (badness 10000) in paragraph at lines 105457--105463
\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 105457--105463
\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 105503--105505
[]\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 ,
[991] [992]
Underfull \hbox (badness 10000) in paragraph at lines 105720--105728
[]\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 105720--105728
\T1/qtm/m/n/10 trieval route is used, which sup-ports fil-ter-ing and re-turns 
fewer at-tributes

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\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 105720--105728
\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 105720--105728
\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 105720--105728
\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 105720--105728
\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 105720--105728
\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
[993] [994] [995] [996]
Underfull \hbox (badness 10000) in paragraph at lines 106078--106080
[]\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

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[]\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
[997]
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[]\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
[998]
Underfull \hbox (badness 10000) in paragraph at lines 106237--106243
[]\T1/txtt/bx/n/10 credential_data \T1/qtm/m/n/10 (\T1/txtt/m/n/10 BasicCredent
ialsDataDict | S3CredentialsDataDict |
[999] [1000]
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[]\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 ,
[1001] [1002] [1003] [1004] [1005] [1006] [1007] [1008] [1009]
Underfull \hbox (badness 10000) in paragraph at lines 107611--107620
[]\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
[1010]
Underfull \hbox (badness 10000) in paragraph at lines 107710--107715
[]\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 107710--107715
[][]\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
[1011] [1012]
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\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
[1013]
Underfull \hbox (badness 10000) in paragraph at lines 108107--108112
\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 108107--108112
\T1/qtm/m/n/10 QUEUE_STATUS.INPROGRESS, will re-turn the mod-el-ing jobs that a
re cur-rently
[1014]
Underfull \hbox (badness 10000) in paragraph at lines 108152--108157
\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
[1015] [1016] [1017]
Underfull \hbox (badness 10000) in paragraph at lines 108546--108552
[]\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 108546--108552
\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 ,
[1018]
Underfull \hbox (badness 10000) in paragraph at lines 108565--108572
[]\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 108565--108572
\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 108565--108572
\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 108574--108578
[]\T1/txtt/bx/n/10 include_bias_mitigation_feature_as_predictor_variable

Overfull \hbox (3.89389pt too wide) in paragraph at lines 108609--108613
[]\T1/txtt/bx/n/10 number_of_incremental_learning_iterations_before_best_model_
selection
[1019]
Underfull \hbox (badness 10000) in paragraph at lines 108735--108738
[]\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 108735--108738
\T1/txtt/m/n/10 datarobot.helpers.partitioning_methods.PartitioningMethod \T1/q
tm/m/n/10 that will
[1020] [1021] [1022]
Underfull \hbox (badness 10000) in paragraph at lines 109029--109031
[]\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.
[1023] [1024] [1025]
Underfull \hbox (badness 10000) in paragraph at lines 109530--109537
[]\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 109530--109537
\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 109530--109537
\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
[1026] [1027]
Underfull \hbox (badness 10000) in paragraph at lines 109738--109744
[]\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 109749--109754
\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
[1028] [1029]
Underfull \hbox (badness 6364) in paragraph at lines 109953--109956
[]\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
[1030]
Underfull \hbox (badness 10000) in paragraph at lines 110024--110030
[]\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 110024--110030
\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 110043--110050
[]\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 110043--110050
\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 110058--110060
[]\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 110062--110064
[]\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
[1031]
Underfull \hbox (badness 10000) in paragraph at lines 110107--110111
[]\T1/txtt/bx/n/10 number_of_incremental_learning_iterations_before_best_model_
selection
[1032] [1033]
Underfull \hbox (badness 10000) in paragraph at lines 110516--110519
[]\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 110526--110529
[]\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 ,
[1034]
Underfull \hbox (badness 10000) in paragraph at lines 110537--110540
[]\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 110537--110540
\T1/txtt/m/n/10 DATETIME_AUTOPILOT_DATA_SELECTION_METHOD\T1/qtm/m/n/10 . Whethe
r mod-els cre-ated by the
[1035]
Underfull \hbox (badness 6927) in paragraph at lines 110654--110657
[]\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
[1036] [1037]
Underfull \hbox (badness 10000) in paragraph at lines 110828--110833
[]\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 ,
[1038]
Underfull \hbox (badness 10000) in paragraph at lines 110970--110972
[]\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
[1039]
Underfull \hbox (badness 10000) in paragraph at lines 111049--111052
[]\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 111049--111052
\T1/txtt/m/n/10 DATETIME_AUTOPILOT_DATA_SELECTION_METHOD\T1/qtm/m/n/10 . Whethe
r mod-els cre-ated by the
[1040] [1041]
Underfull \hbox (badness 6927) in paragraph at lines 111222--111225
[]\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
[1042] [1043] [1044] [1045] [1046]
Underfull \hbox (badness 10000) in paragraph at lines 111869--111872
[]\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 111869--111872
\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.
[1047] [1048]
Underfull \hbox (badness 5741) in paragraph at lines 112088--112096
\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
[1049] [1050] [1051] [1052] [1053] [1054] [1055] [1056]
Underfull \hbox (badness 10000) in paragraph at lines 113337--113339
[]\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
[1057] [1058] [1059] [1060] [1061] [1062] [1063] [1064]
Chapter 47.
[1065]
Underfull \vbox (badness 10000) detected at line 114257
[1066]
Underfull \hbox (badness 10000) in paragraph at lines 114338--114342
[]\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 114338--114342
\T1/qtm/m/n/10 be present if \T1/txtt/m/n/10 explanation_algorithm \T1/qtm/m/n/
10 was set to
[1067] [1068] [1069] [1070]
Chapter 48.
[1071] [1072]
Underfull \hbox (badness 7099) in paragraph at lines 115032--115035
[]\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 ,
[1073]
Underfull \hbox (badness 7099) in paragraph at lines 115074--115077
[]\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 ,
[1074] [1075] [1076] [1077] [1078]
Chapter 49.
[1079] [1080] [1081] [1082] [1083] [1084] [1085] [1086] [1087] [1088]
Chapter 50.

Underfull \hbox (badness 8075) in paragraph at lines 116768--116770
[]\T1/qtm/m/n/10 Sched-ules are now flat un-der the pipeline: \T1/txtt/m/n/10 P
ipelines.list_schedules \T1/qtm/m/n/10 and \T1/txtt/m/n/10 Pipelines.

Underfull \hbox (badness 10000) in paragraph at lines 116772--116774
[]\T1/txtt/m/n/10 Pipelines.create_image \T1/qtm/m/n/10 and \T1/txtt/m/n/10 Pip
elines.update_image \T1/qtm/m/n/10 ac-cept \T1/txtt/m/n/10 python_base_image\T1
/qtm/m/n/10 ;
[1089]
Underfull \hbox (badness 6559) in paragraph at lines 116802--116804
[]\T1/qtm/m/n/10 Fixed the ex-per-i-men-tal pipelines \T1/txtt/m/n/10 list_* \T
1/qtm/m/n/10 meth-ods (\T1/txtt/m/n/10 Pipelines.list\T1/qtm/m/n/10 , \T1/txtt/
m/n/10 Pipelines.list_versions\T1/qtm/m/n/10 ,

Underfull \hbox (badness 6691) in paragraph at lines 116802--116804
\T1/txtt/m/n/10 Pipelines.list_inputs\T1/qtm/m/n/10 , \T1/txtt/m/n/10 Pipelines
.list_runs\T1/qtm/m/n/10 , \T1/txtt/m/n/10 Pipelines.list_schedules\T1/qtm/m/n/
10 , and \T1/txtt/m/n/10 Pipelines.

Underfull \hbox (badness 10000) in paragraph at lines 116810--116812
[]\T1/qtm/m/n/10 Added \T1/txtt/m/n/10 node_id \T1/qtm/m/n/10 sup-port to the e
x-per-i-men-tal pipelines per-task read meth-ods (\T1/txtt/m/n/10 Pipelines.

Underfull \hbox (badness 10000) in paragraph at lines 116810--116812
\T1/txtt/m/n/10 get_task_execution\T1/qtm/m/n/10 , \T1/txtt/m/n/10 Pipelines.ge
t_task_result\T1/qtm/m/n/10 , \T1/txtt/m/n/10 Pipelines.get_task_logs\T1/qtm/m/
n/10 , \T1/txtt/m/n/10 Pipelines.

Underfull \hbox (badness 10000) in paragraph at lines 116826--116828
[]\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
[1090]
Overfull \hbox (46.20569pt too wide) in paragraph at lines 116872--116874
[]\T1/qtm/m/n/10 Moved [][]\T1/txtt/m/sl/10 CustomScoringMetric[][]\T1/qtm/m/n/
10 , [][]\T1/txtt/m/sl/10 CustomScoringMetricVersion[][]\T1/qtm/m/n/10 , and []
[]\T1/txtt/m/sl/10 CustomScoringMetricVersionFileContents[][]

Underfull \hbox (badness 10000) in paragraph at lines 116909--116911
[]\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 116913--116915
[]\T1/qtm/m/n/10 Added [][]\T1/txtt/m/sl/10 CustomScoringMetricVersionFileConte
nts[][] \T1/qtm/m/n/10 and [][]\T1/txtt/m/sl/10 CustomScoringMetricVersion.

Underfull \hbox (badness 7064) in paragraph at lines 116917--116919
[]\T1/qtm/m/n/10 Fixed [][]\T1/txtt/m/sl/10 CustomScoringMetric.list[][] \T1/qt
m/m/n/10 so \T1/txtt/m/n/10 isArchived \T1/qtm/m/n/10 is omit-ted when list-ing
 non-archived met-rics
[1091]
Underfull \hbox (badness 10000) in paragraph at lines 116946--116948
[]\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 116946--116948
\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
[1092]
Underfull \hbox (badness 10000) in paragraph at lines 117048--117050
\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.
[1093]
Underfull \hbox (badness 10000) in paragraph at lines 117167--117170
[]\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 117167--117170
\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

Underfull \hbox (badness 10000) in paragraph at lines 117214--117216
[]\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 117218--117220
[]\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 117218--117220
\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
[1094] [1095] [1096]
Underfull \hbox (badness 10000) in paragraph at lines 117467--117470
[]\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
[1097]
Underfull \hbox (badness 10000) in paragraph at lines 117544--117547
[]\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 117544--117547
\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.
[1098]
Underfull \hbox (badness 10000) in paragraph at lines 117663--117665
[]\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 117679--117681
[]\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.
[1099]
Underfull \hbox (badness 10000) in paragraph at lines 117767--117769
[]\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 117771--117773
[]\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
[1100]
Underfull \hbox (badness 8038) in paragraph at lines 117863--117865
[]\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 117899--117901
[]\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
[1101]
Underfull \hbox (badness 10000) in paragraph at lines 117998--118000
[]\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 117998--118000
\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 117998--118000
\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 117998--118000
\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
[1102]
Overfull \hbox (1.74904pt too wide) in paragraph at lines 118145--118147
[]\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[][]
[1103]
Underfull \hbox (badness 10000) in paragraph at lines 118194--118196
[]\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

Underfull \hbox (badness 10000) in paragraph at lines 118231--118233
[]\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
[1104] [1105]
Underfull \hbox (badness 10000) in paragraph at lines 118406--118408
[]\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 118454--118456
[]\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-

Underfull \hbox (badness 10000) in paragraph at lines 118466--118469
[]\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 118466--118469
[][]\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 118471--118473
[]\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
[1106]
Underfull \hbox (badness 10000) in paragraph at lines 118541--118543
[]\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 ,

Underfull \hbox (badness 10000) in paragraph at lines 118554--118556
[]\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
[1107] [1108] [1109]
Underfull \hbox (badness 10000) in paragraph at lines 118966--118969
[]\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 ,
[1110]
Underfull \hbox (badness 10000) in paragraph at lines 119032--119034
[]\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
[1111]
Underfull \hbox (badness 10000) in paragraph at lines 119110--119112
[]\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 119119--119126
[]\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 119146--119148
[]\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.

Underfull \hbox (badness 10000) in paragraph at lines 119166--119168
[]\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.
[1112]
Overfull \hbox (27.38004pt too wide) in paragraph at lines 119228--119230
[]\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'

Underfull \hbox (badness 10000) in paragraph at lines 119291--119294
[]\T1/txtt/m/n/10 datarobot._experimental.models.time_series_wrangling_template
.user_flow_template
[1113] [1114]
Underfull \hbox (badness 10000) in paragraph at lines 119462--119465
[]\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

Underfull \hbox (badness 10000) in paragraph at lines 119592--119594
[]\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
[1115] [1116]
Underfull \hbox (badness 10000) in paragraph at lines 119731--119735
[]\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:

Underfull \hbox (badness 10000) in paragraph at lines 119811--119813
[][][]\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
[1117]
Underfull \hbox (badness 10000) in paragraph at lines 119886--119889
[]\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 119886--119889
\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
[1118]
Underfull \hbox (badness 10000) in paragraph at lines 119958--119960
[]\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.
[1119]
Underfull \hbox (badness 10000) in paragraph at lines 120118--120120
[]\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.
[1120] [1121] [1122]
Underfull \hbox (badness 10000) in paragraph at lines 120473--120475
[]\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.
[1123] [1124]
Underfull \hbox (badness 10000) in paragraph at lines 120700--120702
\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
[1125] [1126] [1127]
Underfull \hbox (badness 10000) in paragraph at lines 121157--121159
[]\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 121161--121163
[]\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 121165--121167
[]\T1/qtm/m/n/10 If the user con-fig-ures the client via env vars, then set the
 env var
[1128] [1129]
Underfull \hbox (badness 10000) in paragraph at lines 121340--121342
[]\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 121364--121366
\T1/txtt/m/sl/10 PredictionExplanations.get_all_as_dataframe()[][] \T1/qtm/m/n/
10 and [][]\T1/txtt/m/sl/10 datarobot.PredictionExplanations.
[1130]
Underfull \hbox (badness 10000) in paragraph at lines 121493--121496
[]\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 121503--121506
[]\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 121518--121521
[]\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 121523--121526
[]\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.
[1131] [1132]
Underfull \hbox (badness 10000) in paragraph at lines 121685--121689
[]\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 121685--121689
[][]\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 121691--121696
[]\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 121691--121696
[][]\T1/txtt/m/sl/10 DataEngineQueryGenerator.prepare_prediction_dataset_from_c
atalog[][] \T1/qtm/m/n/10 that ap-ply time se-ries
[1133]
Underfull \hbox (badness 10000) in paragraph at lines 121801--121803
[]\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
[1134] [1135]
Underfull \hbox (badness 10000) in paragraph at lines 122086--122089
[]\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 122091--122093
[]\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.
[1136]
Underfull \hbox (badness 10000) in paragraph at lines 122174--122176
[][][]\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 122178--122180
[][][]\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

Underfull \hbox (badness 6364) in paragraph at lines 122210--122212
[]\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.
[1137]
Underfull \hbox (badness 10000) in paragraph at lines 122333--122340
[]\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 122333--122340
[][]\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
[1138] [1139]
Underfull \hbox (badness 10000) in paragraph at lines 122533--122535
[]\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 122551--122554
[]\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
[1140] [1141]
Underfull \hbox (badness 10000) in paragraph at lines 122803--122806
[]\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 ,
[1142]
Underfull \hbox (badness 6268) in paragraph at lines 122904--122907
[]\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 122939--122943
[]\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

Underfull \hbox (badness 10000) in paragraph at lines 122949--122957
[]\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 122949--122957
\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 122949--122957
\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 122949--122957
\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 122949--122957
\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 122949--122957
[][]\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.
[1143]
Underfull \hbox (badness 10000) in paragraph at lines 123099--123102
[]\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
[1144]
Underfull \hbox (badness 10000) in paragraph at lines 123175--123178
[]\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.
[1145] [1146]
Underfull \hbox (badness 10000) in paragraph at lines 123420--123423
[]\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 123425--123428
[]\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.
[1147]
Underfull \hbox (badness 7907) in paragraph at lines 123596--123601
[]\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:

Underfull \hbox (badness 10000) in paragraph at lines 123638--123641
[]\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.
[1148]
Underfull \hbox (badness 10000) in paragraph at lines 123714--123719
[]\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 123714--123719
\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.

Underfull \hbox (badness 10000) in paragraph at lines 123739--123747
[][]\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 123739--123747
\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.
[1149]
Underfull \hbox (badness 10000) in paragraph at lines 123815--123818
[]\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 123820--123826
[]\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 123820--123826
\T1/txtt/m/sl/10 FeatureAssociationMatrixDetails[][] \T1/qtm/m/n/10 and [][]\T1
/txtt/m/sl/10 datarobot.models.FeatureAssociationFeaturelists[][]

Underfull \hbox (badness 10000) in paragraph at lines 123850--123857
[]\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 123850--123857
\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 ,
[1150]
Underfull \hbox (badness 8170) in paragraph at lines 123986--123989
[]\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 123991--123994
\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
[1151]
Underfull \hbox (badness 10000) in paragraph at lines 124074--124079
[]\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 124099--124101
[]\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.
[1152]
Underfull \hbox (badness 10000) in paragraph at lines 124178--124182
[]\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

Underfull \hbox (badness 10000) in paragraph at lines 124221--124224
[]\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:
[1153]
Underfull \hbox (badness 10000) in paragraph at lines 124364--124373
[]\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.
[1154]
Underfull \hbox (badness 10000) in paragraph at lines 124375--124382
[]\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.
[1155]
Underfull \hbox (badness 10000) in paragraph at lines 124566--124570
[]\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
[1156]
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[]\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 124624--124628
[]\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 124624--124628
[][]\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 124648--124650
[]\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 .
[1157] [1158]
Underfull \hbox (badness 10000) in paragraph at lines 124892--124896
[]\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.

Underfull \hbox (badness 10000) in paragraph at lines 124965--124967
[]\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 124965--124967
[][]\T1/txtt/m/sl/10 Deployment.get_prediction_intervals_settings[][] \T1/qtm/m
/n/10 and [][]\T1/txtt/m/sl/10 Deployment.
[1159]
Overfull \hbox (7.70421pt too wide) in paragraph at lines 124998--125000
[]\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 125018--125021
[]\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.

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[]\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 125063--125068
[]\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
[1160]
Underfull \hbox (badness 10000) in paragraph at lines 125154--125156
[]\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 125154--125156
\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
[1161]
Underfull \hbox (badness 7451) in paragraph at lines 125243--125246
[]\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 125243--125246
\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
[1162] [1163]
Underfull \hbox (badness 10000) in paragraph at lines 125450--125459
[]\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 125450--125459
[][]\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 125489--125491
[][][]\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
[1164] [1165]
Underfull \hbox (badness 10000) in paragraph at lines 125611--125614
[]\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 125630--125635
[]\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 125630--125635
\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.

Underfull \hbox (badness 10000) in paragraph at lines 125661--125665
[]\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.
[1166]
Underfull \hbox (badness 10000) in paragraph at lines 125754--125762
[]\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 125754--125762
\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

Underfull \hbox (badness 10000) in paragraph at lines 125777--125780
[]\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 125787--125789
[]\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.
[1167]
Underfull \hbox (badness 10000) in paragraph at lines 125829--125833
[][][]\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.
[1168]
Underfull \hbox (badness 10000) in paragraph at lines 125946--125950
[]\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 125946--125950
\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 125966--125970
[]\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.

Underfull \hbox (badness 5302) in paragraph at lines 125992--125996
\T1/qtm/m/n/10 re-cated and will be re-moved in 2.14. Use [][]\T1/txtt/m/sl/10 
datarobot.DatetimePartitioningSpecification.
[1169] [1170] [1171]
Underfull \hbox (badness 10000) in paragraph at lines 126266--126269
[]\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.
[1172] [1173]
Underfull \hbox (badness 10000) in paragraph at lines 126459--126461
[]\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,
[1174]
Underfull \hbox (badness 10000) in paragraph at lines 126563--126567
[]\T1/qtm/m/n/10 (Only rel-e-vant for on-premise users with a Stan-dalone Scor-
ing clus-ter.) Meth-ods
[1175]
Underfull \hbox (badness 6268) in paragraph at lines 126678--126682
[]\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.
[1176]
Underfull \hbox (badness 10000) in paragraph at lines 126814--126816
[]\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.
[1177] [1178] [1179]
Underfull \hbox (badness 6016) in paragraph at lines 127157--127161
[]\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 127177--127182
[]\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
[1180]
Underfull \hbox (badness 10000) in paragraph at lines 127248--127251
[]\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
[1181] [1182] [1183] [1184] (./datarobot-public-api-client.ind [1185] [1186]
[1187]
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 ),
[1188] [1189]
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
[1190]
Underfull \hbox (badness 10000) in paragraph at lines 386--388
[]\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 388--390
[]\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
[1191]
Underfull \hbox (badness 10000) in paragraph at lines 410--412
[]\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 447--449
[]\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 ),
[1192] [1193] [1194] [1195]
Underfull \hbox (badness 10000) in paragraph at lines 810--812
[]\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 818--820
[]\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
[1196] [1197]
Overfull \hbox (6.44446pt too wide) in paragraph at lines 1006--1008
[]\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 ),
[1198] [1199]
Underfull \hbox (badness 10000) in paragraph at lines 1095--1097
[]\T1/txtt/m/n/10 find_anomalous_regions() \T1/qtm/m/n/10 (\T1/qtm/m/it/10 data
robot.models.anomaly_assessment.AnomalyAssessmentPredictionsPreview

Underfull \hbox (badness 10000) in paragraph at lines 1149--1151
[]\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
[1200]
Underfull \hbox (badness 10000) in paragraph at lines 1236--1238
[]\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
[1201] [1202]
Underfull \hbox (badness 10000) in paragraph at lines 1406--1408
[]\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
[1203] [1204] [1205]
Underfull \hbox (badness 10000) in paragraph at lines 1648--1650
[]\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 1650--1652
[]\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
[1206]
Overfull \hbox (51.0944pt too wide) in paragraph at lines 1733--1735
[]\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

Underfull \hbox (badness 10000) in paragraph at lines 1752--1754
[]\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
[1207] [1208] [1209] [1210] [1211]
Underfull \hbox (badness 10000) in paragraph at lines 2219--2221
[]\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
[1212]
Underfull \hbox (badness 10000) in paragraph at lines 2363--2365
[]\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-
[1213] [1214] [1215]
Underfull \hbox (badness 10000) in paragraph at lines 2549--2551
[]\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

Underfull \hbox (badness 10000) in paragraph at lines 2603--2605
[]\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 ),
[1216]
Underfull \hbox (badness 10000) in paragraph at lines 2637--2639
[]\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

Underfull \hbox (badness 10000) in paragraph at lines 2644--2646
[]\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
[1217] [1218]
Overfull \hbox (33.2344pt too wide) in paragraph at lines 2799--2801
[]\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
[1219] [1220] [1221] [1222] [1223] [1224] [1225] [1226] [1227] [1228]
Underfull \hbox (badness 10000) in paragraph at lines 3741--3743
[]\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
[1229] [1230]
Underfull \hbox (badness 7722) in paragraph at lines 3889--3891
[]\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
[1231]) [1232] (./datarobot-public-api-client.aux) )
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8a.pfb>
Output written on datarobot-public-api-client.pdf (1240 pages, 5133952 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'
Collected error summary (may duplicate other messages):
  pdflatex: Command for 'pdflatex' gave return code 1
      Refer to 'datarobot-public-api-client.log' for details
Latexmk: Examining 'datarobot-public-api-client.log'
=== TeX engine is 'pdfTeX'
Latexmk: Errors, in force_mode: so I tried finishing targets