Read the Docs build information
Build id: 4205702
Project: datarobot-public-api-client
Version: early-access
Commit: dcf4526fbd0111dba1b8336a753dbfec76f26fa0
Date: 2026-07-13T18:39:14.452680Z
State: finished
Success: True


[rtd-command-info] start-time: 2026-07-13T18:39:15.384108Z, end-time: 2026-07-13T18:39:18.735629Z, duration: 3, exit-code: 0
git clone --depth 1 git@github.com:datarobot/public_api_client.git .
Cloning into '.'...
Warning: Permanently added 'github.com' (ED25519) to the list of known hosts.

[rtd-command-info] start-time: 2026-07-13T18:39:18.815139Z, end-time: 2026-07-13T18:39:21.995153Z, duration: 3, exit-code: 0
git fetch origin --force --prune --prune-tags --depth 50 refs/tags/early-access:refs/tags/early-access
Warning: Permanently added 'github.com' (ED25519) to the list of known hosts.
Warning: Permanently added 'github.com' (ED25519) to the list of known hosts.
From github.com:datarobot/public_api_client
 * [new tag]         v3.17.0    -> v3.17.0
 * [new tag]         v3.17.0rc0 -> v3.17.0rc0
 * [new tag]         v3.17.0rc1 -> v3.17.0rc1

[rtd-command-info] start-time: 2026-07-13T18:39:23.045121Z, end-time: 2026-07-13T18:39:23.651952Z, duration: 0, exit-code: 0
git checkout --force dcf4526fbd0111dba1b8336a753dbfec76f26fa0
Note: switching to 'dcf4526fbd0111dba1b8336a753dbfec76f26fa0'.

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 dcf4526 [APP-6419] [BUGFIX] Allow blank description in Application deserialization (#4106)

[rtd-command-info] start-time: 2026-07-13T18:39:23.738626Z, end-time: 2026-07-13T18:39:23.780756Z, 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: 2026-07-13T18:39:28.842641Z, end-time: 2026-07-13T18:39:28.909393Z, duration: 0, exit-code: 0
asdf global python 3.11.15


[rtd-command-info] start-time: 2026-07-13T18:39:29.358671Z, end-time: 2026-07-13T18:39:30.193185Z, duration: 0, exit-code: 0
python -mvirtualenv $READTHEDOCS_VIRTUALENV_PATH
created virtual environment CPython3.11.15.final.0-64 in 372ms
  creator CPython3Posix(dest=/home/docs/checkouts/readthedocs.org/user_builds/datarobot-public-api-client/envs/early-access, clear=False, no_vcs_ignore=False, global=False)
  seeder FromAppData(download=False, pip=bundle, setuptools=bundle, wheel=bundle, via=copy, app_data_dir=/home/docs/.local/share/virtualenv)
    added seed packages: pip==23.1, setuptools==67.6.1, wheel==0.40.0
  activators BashActivator,CShellActivator,FishActivator,NushellActivator,PowerShellActivator,PythonActivator

[rtd-command-info] start-time: 2026-07-13T18:39:30.287831Z, end-time: 2026-07-13T18:39:36.861951Z, duration: 6, exit-code: 0
python -m pip install --upgrade --no-cache-dir pip setuptools
Requirement already satisfied: pip in /home/docs/checkouts/readthedocs.org/user_builds/datarobot-public-api-client/envs/early-access/lib/python3.11/site-packages (23.1)
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Installing collected packages: setuptools, pip
  Attempting uninstall: setuptools
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      Successfully uninstalled setuptools-67.6.1
  Attempting uninstall: pip
    Found existing installation: pip 23.1
    Uninstalling pip-23.1:
      Successfully uninstalled pip-23.1
Successfully installed pip-26.1.2 setuptools-83.0.0

[rtd-command-info] start-time: 2026-07-13T18:39:37.003210Z, end-time: 2026-07-13T18:39:42.032956Z, duration: 5, exit-code: 0
python -m pip install --upgrade --no-cache-dir sphinx
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Installing collected packages: urllib3, sphinxcontrib-serializinghtml, sphinxcontrib-qthelp, sphinxcontrib-jsmath, sphinxcontrib-htmlhelp, sphinxcontrib-devhelp, sphinxcontrib-applehelp, snowballstemmer, roman-numerals, Pygments, packaging, MarkupSafe, imagesize, idna, docutils, charset_normalizer, certifi, babel, alabaster, requests, Jinja2, sphinx

Successfully installed Jinja2-3.1.6 MarkupSafe-3.0.3 Pygments-2.20.0 alabaster-1.0.0 babel-2.18.0 certifi-2026.6.17 charset_normalizer-3.4.9 docutils-0.22.4 idna-3.18 imagesize-2.0.0 packaging-26.2 requests-2.34.2 roman-numerals-4.1.0 snowballstemmer-3.1.1 sphinx-9.0.4 sphinxcontrib-applehelp-2.0.0 sphinxcontrib-devhelp-2.0.0 sphinxcontrib-htmlhelp-2.1.0 sphinxcontrib-jsmath-1.0.1 sphinxcontrib-qthelp-2.0.0 sphinxcontrib-serializinghtml-2.0.0 urllib3-2.7.0

[rtd-command-info] start-time: 2026-07-13T18:39:42.126553Z, end-time: 2026-07-13T18:40:28.125148Z, duration: 45, exit-code: 0
python -m pip install --upgrade --upgrade-strategy only-if-needed --no-cache-dir .[dev]
Processing ./.
  Installing build dependencies: started
  Installing build dependencies: finished with status 'done'
  Getting requirements to build wheel: started
  Getting requirements to build wheel: finished with status 'done'
  Preparing metadata (pyproject.toml): started
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Requirement already satisfied: requests>=2.28.1 in /home/docs/checkouts/readthedocs.org/user_builds/datarobot-public-api-client/envs/early-access/lib/python3.11/site-packages (from datarobot==3.18.0b0) (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: webencodings, types-urllib3, types-PyYAML, types-pytz, types-python-dateutil, types-decorator, trafaret, strenum, sly, pytz, py4j, pure-eval, ptyprocess, jupyter_highlight_selected_word, ipython_genutils, fastjsonschema, websocket-client, webcolors, wcwidth, vermin, uri-template, tzdata, typing-extensions, types-requests, traitlets, tornado, toolz, tomli, tinycss2, tabulate, soupsieve, six, send2trash, ruff, rpds-py, roman-numerals-py, rfc3986-validator, pyzmq, pyyaml, python-json-logger, python-dotenv, pyjson5, pyenchant, pycparser, pyasn1, pyarrow, py-walk, psutil, protobuf, prometheus-client, pluggy, platformdirs, Pillow, pexpect, pathspec, parso, pandocfilters, overrides, numpy, nest-asyncio2, mypy_extensions, mistune, mdurl, lxml, lark, jupyterlab-pygments, jsonpointer, json5, ipython-pygments-lexers, iniconfig, h11, greenlet, fsspec, fqdn, executing, docutils, defusedxml, decorator, debugpy, coverage, comm, click, bleach, attrs, async-lru, asttokens, annotated-types, typing-inspection, 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, 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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    Found existing installation: docutils 0.22.4
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    Found existing installation: Sphinx 9.0.4
    Uninstalling Sphinx-9.0.4:
      Successfully uninstalled Sphinx-9.0.4

Successfully installed Pillow-10.4.0 Sphinx-8.2.3 annotated-types-0.7.0 anyio-4.14.2 application-file-scanner-0.6.4 application-properties-0.9.3 argon2-cffi-25.1.0 argon2-cffi-bindings-25.1.0 arrow-1.4.0 asttokens-3.0.2 async-lru-2.3.0 attrs-26.1.0 authlib-1.7.2 beautifulsoup4-4.15.0 bleach-6.4.0 cffi-2.1.0 click-8.4.2 columnar-1.4.1 comm-0.2.3 coverage-7.15.1 cryptography-49.0.0 databricks-connect-16.1.7 databricks-sdk-0.120.0 datarobot-3.18.0b0 debugpy-1.8.21 decorator-5.3.1 defusedxml-0.7.1 docutils-0.21.2 executing-2.2.1 fastjsonschema-2.21.2 fqdn-1.5.1 fsspec-2026.6.0 google-auth-2.55.2 googleapis-common-protos-1.75.0 greenlet-3.5.3 grpcio-1.82.1 grpcio-status-1.81.1 h11-0.16.0 httpcore-1.0.9 httpx-0.28.1 iniconfig-2.3.0 ipykernel-7.3.0 ipython-9.15.0 ipython-pygments-lexers-1.1.1 ipython_genutils-0.2.0 isoduration-20.11.0 jedi-0.20.0 joserfc-1.7.3 json5-0.15.0 jsonpointer-3.1.1 jsonschema-4.26.0 jsonschema-specifications-2025.9.1 jupyter-builder-1.1.0 jupyter-client-8.9.1 jupyter-core-5.9.1 jupyter-events-0.12.1 jupyter-lsp-2.3.1 jupyter-server-2.20.0 jupyter-server-terminals-0.5.4 jupyter_contrib_core-0.4.2 jupyter_contrib_nbextensions-0.7.0 jupyter_highlight_selected_word-0.2.0 jupyter_nbextensions_configurator-0.6.4 jupyterlab-4.6.1 jupyterlab-pygments-0.3.0 jupyterlab-server-2.28.0 lark-1.3.1 lxml-6.1.1 markdown-it-py-3.0.0 matplotlib-inline-0.2.2 mdit-py-plugins-0.6.1 mdurl-0.1.2 mistune-3.3.3 mypy-1.16.0 mypy_extensions-1.1.0 myst-parser-4.0.0 nbclient-0.11.0 nbconvert-7.17.1 nbformat-5.10.4 nbsphinx-0.9.8 nest-asyncio2-1.7.2 notebook-7.6.0 notebook-shim-0.2.4 numpy-1.26.4 overrides-7.7.0 pandas-3.0.3 pandocfilters-1.5.1 parso-0.8.7 pathspec-1.1.1 pexpect-4.9.0 platformdirs-4.10.0 pluggy-1.6.0 prometheus-client-0.25.0 prompt_toolkit-3.0.52 protobuf-6.33.6 psutil-7.2.2 ptyprocess-0.7.0 pure-eval-0.2.3 py-walk-0.3.3 py4j-0.10.9.7 pyarrow-25.0.0 pyasn1-0.6.4 pyasn1-modules-0.4.2 pycparser-3.0 pydantic-2.13.4 pydantic-core-2.46.4 pydantic-settings-2.14.2 pyenchant-3.2.2 pyjson5-2.0.1 pymarkdownlnt-0.9.39 pytest-8.3.5 pytest-asyncio-0.21.1 pytest-cov-7.1.0 python-dateutil-2.9.0.post0 python-dotenv-1.2.2 python-json-logger-4.1.0 pytz-2026.2 pyyaml-6.0.3 pyzmq-27.1.0 referencing-0.37.0 requests_toolbelt-1.0.0 responses-0.21.0 respx-0.23.1 rfc3339-validator-0.1.4 rfc3986-validator-0.1.1 rfc3987-syntax-1.1.0 roman-numerals-py-4.1.0 rpds-py-2026.6.3 ruff-0.15.21 send2trash-2.1.0 six-1.17.0 sly-0.5 soupsieve-2.8.4 sphinx-autodoc-typehints-3.5.2 sphinx-copybutton-0.5.2 sphinx-external-toc-1.1.0 sphinx-markdown-builder-0.6.10 sphinx-multitoc-numbering-0.1.3 sphinx_rtd_theme-3.1.0 sphinxcontrib-jquery-4.1 sphinxcontrib-spelling-8.0.2 sqlalchemy-2.0.51 stack_data-0.6.3 strenum-0.4.15 tabulate-0.10.0 terminado-0.18.1 tinycss2-1.5.1 tomli-2.4.1 toolz-1.1.0 tornado-6.5.7 trafaret-2.1.1 traitlets-5.15.1 types-PyYAML-6.0.12 types-decorator-5.1.8 types-python-dateutil-2.8.19 types-pytz-2022.2.1.0 types-requests-2.28.11 types-urllib3-1.26.25 typing-extensions-4.16.0 typing-inspection-0.4.2 tzdata-2026.3 uri-template-1.3.0 vermin-1.8.0 wcwidth-0.8.2 webcolors-25.10.0 webencodings-0.5.1 websocket-client-1.9.0

[rtd-command-info] start-time: 2026-07-13T18:40:28.283440Z, end-time: 2026-07-13T18:40:28.324619Z, duration: 0, exit-code: 0
cat sdk_docs/conf.py
#
# Copyright 2021-2025 DataRobot, Inc. and its affiliates.
#
# All rights reserved.
#
# DataRobot, Inc.
#
# This is proprietary source code of DataRobot, Inc. and its
# affiliates.
#
# Released under the terms of DataRobot Tool and Utility Agreement.
#
# DataRobot Python API documentation build configuration file, created by
# sphinx-quickstart on Mon Mar 16 10:50:19 2015.
#
# This file is execfile()d with the current directory set to its containing dir.
#
# Note that not all possible configuration values are present in this
# autogenerated file.
#
# All configuration values have a default; values that are commented out
# serve to show the default.
from __future__ import annotations

import os
import shutil
import sys

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

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

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

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

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

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

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

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

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

autosummary_generate = False
autodoc_class_signature = "separated"

autodoc_default_options = {
    "exclude-members": "__init__, schema, __new__, __init_subclass__",
}

autodoc_member_order = "bysource"

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

nbsphinx_execute = "never"

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

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

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

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

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

# The master toctree document.
master_doc = "index"

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

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


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

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

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

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

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

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

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

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

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

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


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

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

html_theme = "sphinx_rtd_theme"

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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


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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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


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

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

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


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

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

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

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

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

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

nitpick_ignore = [
    ("py:class", "opentelemetry.sdk.resources.Resource"),
    ("py:data", "typing.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: 2026-07-13T18:40:28.415845Z, end-time: 2026-07-13T18:41:28.708449Z, duration: 60, exit-code: 0
python -m sphinx -T -b html -d _build/doctrees -D language=en . $READTHEDOCS_OUTPUT/html
Running Sphinx v8.2.3
You have imported from the _experimental directory.
This directory is used for unreleased datarobot features.
Unless you specifically know better, you don't have the access to use this functionality in the app, so this code will not work.
loading translations [en]... done
Initializing Spelling Checker 8.0.2
making output directory... done
Writing evaluated template result to /home/docs/checkouts/readthedocs.org/user_builds/datarobot-public-api-client/checkouts/early-access/_readthedocs/html/_static/nbsphinx-code-cells.css
myst v4.0.0: MdParserConfig(commonmark_only=False, gfm_only=False, enable_extensions={'dollarmath', 'html_image', 'tasklist', 'amsmath', 'attrs_inline', 'html_admonition', 'replacements', 'smartquotes', 'strikethrough', 'fieldlist', 'substitution', 'colon_fence', 'deflist'}, 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 93 source files that are out of date
updating environment: [new config] 93 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... [  5%] applications
reading sources... [  6%] 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... [ 15%] custom-application-sources
reading sources... [ 16%] custom-applications
reading sources... [ 17%] custom-metrics
reading sources... [ 18%] custom-models
reading sources... [ 19%] custom_scoring_metrics
reading sources... [ 20%] data-connectivity
reading sources... [ 22%] data-exploration
reading sources... [ 23%] data-registry
reading sources... [ 24%] data-wrangling
reading sources... [ 25%] datarobot-models
reading sources... [ 26%] deployment-management
reading sources... [ 27%] errors
reading sources... [ 28%] experimental/enums
reading sources... [ 29%] experimental/index
reading sources... [ 30%] experimental/query-engine
reading sources... [ 31%] features
reading sources... [ 32%] file-system
reading sources... [ 33%] gen-llm-generation
reading sources... [ 34%] gen-moderation
reading sources... [ 35%] gen-prompting
reading sources... [ 37%] gen-syftr-search
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reading sources... [ 40%] index
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reading sources... [ 48%] reference/admin/credentials
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[rtd-command-info] start-time: 2026-07-13T18:41:28.789412Z, end-time: 2026-07-13T18:42:05.214726Z, duration: 36, 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.
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myst v4.0.0: MdParserConfig(commonmark_only=False, gfm_only=False, enable_extensions={'tasklist', 'amsmath', 'fieldlist', 'html_image', 'dollarmath', 'strikethrough', 'deflist', 'attrs_inline', 'html_admonition', 'replacements', 'colon_fence', 'substitution', '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
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   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/credentials
  reference/admin/sharing
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  reference/use_cases/use_cases
  client-setup
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  batch-predictions
  binary_data_helpers
  blueprints
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  credentials
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  gen-testing
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  insights
  jobs
  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: 2026-07-13T18:42:06.464446Z, end-time: 2026-07-13T18:42:06.504571Z, 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: 2026-07-13T18:42:06.594940Z, end-time: 2026-07-13T18:42:45.116957Z, duration: 38, exit-code: 0
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Chapter 6.

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Chapter 9.
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Chapter 11.

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Chapter 14.

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Chapter 16.

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Chapter 17.

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Chapter 18.

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Chapter 19.

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Chapter 20.
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Chapter 26.

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Chapter 29.

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Chapter 32.

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Chapter 40.

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[956] [957] [958]
Chapter 44.
[959] [960]
Chapter 45.

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[1204] [1205] [1206]
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[1207] [1208] [1209] [1210]

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(see the transcript file for additional information){/usr/share/texlive/texmf-d
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) [6] [1] [2]
Chapter 1.

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

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

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\T1/qtm/m/n/10 Just as with the lift and ROC charts, you can use \T1/txtt/m/n/1
0 Model \T1/qtm/m/n/10 meth-ods \T1/txtt/m/n/10 get_residuals_chart \T1/qtm/m/n
/10 and
[35] [36] [37] [38] [39] [40] [41] [42] [43] [44] [45] [46]
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[]\T1/txtt/m/n/10 PredictionExplanations.get_all_as_dataframe() \T1/qtm/m/n/10 
and \T1/txtt/m/n/10 PredictionExplanations.
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[58] [59] [60] [61] [62] [63] [64] [65] [66]
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[]\T1/qtm/m/n/10 gap_duration (str): A du-ra-tion string such as those re-turne
d by the [][]\T1/txtt/m/sl/10 partitioning_methods.
[67]
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\T1/qtm/m/n/10 and \T1/txtt/m/n/10 validation_start_date\T1/qtm/m/n/10 . Us-ing
 the same date for both \T1/txtt/m/n/10 primary_training_end_date \T1/qtm/m/n/1
0 and
[68]
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\T1/qtm/m/n/10 For date-time par-ti-tioned model you can re-trieve the Ac-cu-ra
cy over Time plot. To do so use

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

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

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

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[96] [97 <./sample1.png>] [98 <./sample2.png>] [99 <./activation_map1.png> <./a
ctivation_map2.png>] [100] [101 <./embeddings.png>] [102] [103] [104]
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Chapter 4.
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[]\T1/qtm/m/n/10 In or-der to sched-ule the ex-e-cu-tion of a batch pre-dic-tio
n job, a def-i-ni-tion must first be cre-ated us-

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[]\T1/qtm/m/n/10 Al-ter-na-tively, use a short-hand ver-sion with [][]\T1/txtt/
m/sl/10 datarobot.models.BatchPredictionJobDefinition.
[124]
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[]|\T1/qtm/m/n/10 The hour(s)

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

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

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[]|\T1/qtm/m/n/10 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 or the full

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

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\T1/qtm/m/n/10 such as
[125]
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[126]
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\T1/qtm/m/n/10 Job def-i-ni-tions are only be ex-e-cuted by the sched-uler if \
T1/txtt/m/n/10 enabled \T1/qtm/m/n/10 is set to \T1/txtt/m/n/10 True\T1/qtm/m/n
/10 . If you have a

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\T1/qtm/m/n/10 job def-i-ni-tion that was pre-vi-ously run-ning as a sched-uled
 job, but should now be stopped, sim-ply
[127] [128]
Chapter 5.
[129] [130] [131] [132] [133] [134] [135] [136] [137] [138] [139] [140]
[141] [142] [143]
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\T1/qtm/m/n/10 of [][]\T1/txtt/m/sl/10 datarobot.models.deployment.DeploymentGr
antSharedRoleWithId[][] \T1/qtm/m/n/10 and [][]\T1/txtt/m/sl/10 datarobot.model
s.
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[152] [153] [154]
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[]\T1/qtm/m/n/10 For deployment-specific met-rics, do not pro-vide model in-for
-ma-tion. For model spe-cific met-rics set
[155] [156]
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\T1/qtm/m/n/10 To re-port ag-gre-gated cus-tom met-rics val-ues from a dataset 
in the Data Reg-istry, use the
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[165]
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[]\T1/qtm/m/n/10 Re-fer to [][]\T1/txtt/m/sl/10 ExecutionEnvironment[][] \T1/qt
m/m/n/10 for prop-er-ties of the ex-e-cu-tion en-vi-ron-ment ob-ject and
[166] [167] [168]
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[181]
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[182] [183] [184]
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\T1/qtm/m/n/10 To cre-ate a hosted cus-tom met-ric job from a gallery tem-plate
, use \T1/txtt/m/n/10 dr.registry.Job.
[185] [186] [187]
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[]\T1/qtm/m/n/10 You can also fil-ter the reg-is-tered model ver-sions that are
 re-turned by pass-ing an in-stance of the
[188] [189] [190] [191] [192] [193] [194] [195] [196]
Chapter 6.
[197] [198] [199] [200] [201] [202] [203] [204] [205] [206]
Chapter 7.
[207] [208] [209] [210]
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[]\T1/qtm/m/n/10 Use Cases sup-port \T1/txtt/m/n/10 SHARING_ROLE.OWNER\T1/qtm/m
/n/10 , \T1/txtt/m/n/10 SHARING_ROLE.EDITOR\T1/qtm/m/n/10 , \T1/txtt/m/n/10 SHA
RING_ROLE.CONSUMER \T1/qtm/m/n/10 and
[211] [212]
Chapter 8.
[213] [214] [215] [216]
Chapter 9.
[217] [218]
Chapter 10.
[219] [220]
Chapter 11.
[221] [222] [223] [224]
Chapter 12.
[225] [226]
Chapter 13.
[227] [228] [229] [230] [231] [232] [233]
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[234] [235] [236]
Chapter 14.
[237] [238] [239] [240] [241] [242] [243]
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[]\T1/txtt/bx/n/10 source_url \T1/qtm/m/n/10 (\T1/txtt/m/n/10 str\T1/qtm/m/n/10
 ) ^^U The URL for the pre-dic-tion dataset (e.g.:

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[]\T1/txtt/bx/n/10 destination_url \T1/qtm/m/n/10 (\T1/txtt/m/n/10 str\T1/qtm/m
/n/10 ) ^^U The URL for the scored dataset (e.g.:
[244]
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[]\T1/txtt/bx/n/10 source_url \T1/qtm/m/n/10 (\T1/txtt/m/n/10 str\T1/qtm/m/n/10
 ) ^^U The URL for the pre-dic-tion dataset (e.g.:

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[]\T1/txtt/bx/n/10 destination_url \T1/qtm/m/n/10 (\T1/txtt/m/n/10 str\T1/qtm/m
/n/10 ) ^^U The URL for the scored dataset (e.g.:
[245]
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[]\T1/qtm/m/n/10 par-ti-tion : sub-set of train-ing data to score, one of \T1/t
xtt/m/n/10 datarobot.enums.
[246] [247] [248] [249] [250] [251] [252] [253] [254] [255]
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\T1/txtt/bx/n/10 ValueError: \T1/qtm/m/n/10 ^^U If the generic Job was not a pr
e-dict job, e.g., job_type !=
[256] [257] [258] [259] [260]
Chapter 15.

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

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\T1/qtm/m/it/10 tinue_on_error=False\T1/qtm/m/n/10 , 
[261]
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\T1/qtm/m/it/10 tinue_on_error=False\T1/qtm/m/n/10 , 
[262] [263] [264]
Chapter 16.
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[]\T1/txtt/bx/n/10 hex_column_name_lookup \T1/qtm/m/n/10 (\T1/txtt/m/n/10 list[
UserBlueprintsHexColumnNameLookupEntry]\T1/qtm/m/n/10 ,

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[]\T1/txtt/bx/n/10 supported_target_types \T1/qtm/m/n/10 (\T1/txtt/m/n/10 list[
enum(\TS1/txtt/m/n/10 ``\T1/qtm/m/n/10 'binary'\T1/txtt/m/n/10 , \TS1/txtt/m/n/
10 ``'\T1/txtt/m/n/10 multiclass\TS1/txtt/m/n/10 '\T1/qtm/m/n/10 ,
[268] [269] [270] [271]
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[]\T1/txtt/bx/n/10 task_parameters \T1/qtm/m/n/10 (\T1/txtt/m/n/10 list(UserBlu
eprintTaskParameterValidationRequestParamItem)\T1/qtm/m/n/10 )
[272]
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[]\T1/txtt/bx/n/10 share_recipient_type \T1/qtm/m/n/10 (\T1/txtt/m/n/10 enum(\T
S1/txtt/m/n/10 ``\T1/qtm/m/n/10 'user'\T1/txtt/m/n/10 , \TS1/txtt/m/n/10 ``'\T1
/txtt/m/n/10 group\TS1/txtt/m/n/10 '\T1/qtm/m/n/10 , \TS1/txtt/m/n/10 '\T1/txtt
/m/n/10 organization\TS1/txtt/m/n/10 '\T1/txtt/m/n/10 )\T1/qtm/m/n/10 ,
[273]
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[]\T1/txtt/bx/n/10 roles \T1/qtm/m/n/10 (\T1/txtt/m/n/10 list(or(GrantAccessCon
trolWithUsernameValidator\T1/qtm/m/n/10 ,

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[]\T1/txtt/bx/n/10 limit \T1/qtm/m/n/10 (\T1/txtt/m/n/10 int\T1/qtm/m/n/10 , \T
1/txtt/m/n/10 Optional. (default\T1/qtm/m/n/10 : \T1/txtt/m/n/10 0)\T1/qtm/m/n/
10 , \T1/txtt/m/n/10 at most this many results are
[274]
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[]\T1/txtt/bx/n/10 added_to_menu \T1/qtm/m/n/10 (\T1/txtt/m/n/10 list(UserBluep
rintAddedToMenuItem)\T1/qtm/m/n/10 ) ^^U The list of
[275]
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[]\T1/txtt/bx/n/10 task_parameters \T1/qtm/m/n/10 (\T1/txtt/m/n/10 list(UserBlu
eprintTaskParameterValidationRequestParamItem)\T1/qtm/m/n/10 )
[276]
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[]\T1/txtt/bx/n/10 description \T1/qtm/m/n/10 (\T1/txtt/m/n/10 Optional[str] (D
efault=None)\T1/qtm/m/n/10 ) ^^U The de-scrip-tion of the user

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[]\T1/txtt/bx/n/10 limit \T1/qtm/m/n/10 (\T1/txtt/m/n/10 int\T1/qtm/m/n/10 , \T
1/txtt/m/n/10 Optional. (default\T1/qtm/m/n/10 : \T1/txtt/m/n/10 0)\T1/qtm/m/n/
10 , \T1/txtt/m/n/10 at most this many results are
[277] [278] [279]
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[]\T1/txtt/bx/n/10 calibrate_predictions \T1/qtm/m/n/10 (\T1/txtt/m/n/10 Option
al[bool]\T1/qtm/m/n/10 ) ^^U whether anomaly pre-dic-tions

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\T1/qtm/m/n/10 should be cal-i-brated to be be-tween 0 and 1 by DR. if None, us
es de-fault
[280] [281] [282] [283] [284] [285] [286] [287] [288] [289] [290] [291]
[292] [293] [294]
Chapter 17.
[295] [296] [297] [298]
Chapter 18.
[299]
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[]\T1/txtt/m/n/10 List \T1/qtm/m/n/10 of \T1/txtt/m/n/10 AutomatedDocument obje
cts\T1/qtm/m/n/10 , \T1/txtt/m/n/10 where each object contains

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[303] [304] [305] [306] [307] [308]
Chapter 19.
[309] [310] [311] [312] [313] [314] [315] [316]
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[]\T1/txtt/bx/n/10 kwargs \T1/qtm/m/n/10 (\T1/txtt/m/n/10 Keyword arguments spe
cific \T1/qtm/m/n/10 to \T1/txtt/m/n/10 the given credential_type that
[317] [318]
Chapter 20.
[319] [320] [321]
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[]\T1/txtt/bx/n/10 time_step \T1/qtm/m/n/10 (\T1/txtt/m/n/10 Optional[CustomMet
ricBucketTimeStep]\T1/qtm/m/n/10 ) ^^U Cus-tom met-ric time
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[]\T1/txtt/bx/n/10 metric_type \T1/qtm/m/n/10 (\T1/txtt/m/n/10 Optional[HostedC
ustomMetricsTemplateMetricTypeQueryParams]\T1/qtm/m/n/10 )
[334]
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\T1/qtm/m/n/10 Cre-ate a hosted cus-tom met-ric from a tem-plate. A short-cut f
or 2 calls:
[335] [336] [337] [338] [339] [340]
Chapter 21.
[341] [342] [343] [344]
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 ,
[345]
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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 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 ] 
[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 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

Underfull \hbox (badness 10000) in paragraph at lines 29908--29918
\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
[370] [371] [372] [373] [374]
Chapter 23.
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Chapter 24.
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Chapter 25.
[385]
Underfull \hbox (badness 10000) in paragraph at lines 33105--33108
[]\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-
[386] [387] [388] [389]
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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:
[390] [391] [392] [393] [394] [395] [396] [397] [398] [399] [400]
Chapter 26.
[401] [402] [403] [404] [405] [406]
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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 35396--35399
\T1/qtm/m/n/10 im-port Train-ing-Data-Ex-port dataset_id = Train-ing-Data-Ex-
[407] [408]
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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(/usr/share/texlive/texmf-dist/tex/latex/fontawesome5/ufontawesomefree2.fd)
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[453] [454] [455] [456]
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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
[477]
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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
[480]
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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
[490]
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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
[491] [492] [493]
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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
[497]
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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
[498] [499] [500] [501] [502] [503] [504] [505] [506] [507]
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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
[508]
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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
[509] [510]
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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
[535]
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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
[538]
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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
[543]
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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
[549] [550] [551]
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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
[552] [553] [554]
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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
[555]
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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 52498--52501
\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
[556] [557]
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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
[558] [559] [560] [561]
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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
[562] [563] [564] [565] [566] [567] [568] [569] [570] [571] [572] [573]
[574]
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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
[575] [576] [577] [578] [579] [580] [581] [582] [583]
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[]\T1/txtt/bx/n/10 source \T1/qtm/m/n/10 (\T1/txtt/m/n/10 str\T1/qtm/m/n/10 ) ^
^U Con-fu-sion chart source. Check
[584]
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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
[585] [586] [587]
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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
[592] [593] [594]
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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
[595]
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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
[596] [597] [598] [599] [600] [601] [602] [603] [604] [605] [606]
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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
[607] [608]
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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
[609]
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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 ,
[610]
Underfull \hbox (badness 10000) in paragraph at lines 58915--58918
\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
[611] [612] [613] [614] [615]
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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
[616] [617] [618] [619]
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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
[620] [621]
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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
[622] [623] [624]
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[]\T1/txtt/bx/n/10 source \T1/qtm/m/n/10 (\T1/txtt/m/n/10 str\T1/qtm/m/n/10 ) ^
^U Resid-u-als chart data source. Check

Underfull \hbox (badness 10000) in paragraph at lines 60728--60730
[]\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
[625] [626] [627]
Underfull \hbox (badness 10000) in paragraph at lines 61054--61063
[]\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
 such as those re-turned by the

Underfull \hbox (badness 8075) in paragraph at lines 61123--61128
[][]\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 61136--61139
\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
[628] [629] [630] [631] [632] [633] [634]
Underfull \hbox (badness 10000) in paragraph at lines 62063--62065
[]\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
[635]
Underfull \hbox (badness 10000) in paragraph at lines 62126--62138
[]\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 62126--62138
\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 62126--62138
\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 62126--62138
\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 62126--62138
\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 62126--62138
\T1/qtm/m/n/10 | Grid-SearchAl-go-rithm.EXHAUSTIVE_SEARCH (de-fault) | | Grid-S
earch-
[636] [637] [638] [639] [640] [641] [642] [643] [644] [645] [646] [647]
[648] [649] [650] [651] [652] [653] [654]
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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
[655] [656] [657] [658] [659] [660]
Chapter 30.
[661] [662] [663] [664] [665] [666] [667] [668]
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[669] [670] [671] [672] [673] [674] [675]
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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 66861--66865
\T1/qtm/m/n/10 To up-date ex-ist-ing `'pre-dic-tions_data_collection'' set-ting
s, see
[676] [677] [678] [679] [680] [681] [682] [683] [684] [685]
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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 68228--68230
\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 68228--68230
\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-
[686] [687] [688] [689] [690] [691] [692] [693] [694] [695] [696] [697]
[698] [699] [700] [701] [702] [703] [704] [705]
Underfull \hbox (badness 10000) in paragraph at lines 70740--70744
[]\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 70740--70744
\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 70746--70750
[]\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 70746--70750
\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 70770--70774
[]\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 70770--70774
\T1/qtm/m/n/10 ment. To cre-ate or up-date ex-ist-ing `'pre-dic-tion_warning'' 
set-tings, see
[706] [707] [708] [709]
Underfull \hbox (badness 10000) in paragraph at lines 71239--71241
[]\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-
[710] [711] [712]
Chapter 31.
[713] [714] [715] [716]
Chapter 32.
[717]
Underfull \hbox (badness 10000) in paragraph at lines 72152--72157
[]\T1/qtm/m/n/10 {`key':'DataRobot', `sum-mary':{`min':0, `max':29815.0, `std-D
ev':6498.029,
[718] [719] [720] [721]
Underfull \hbox (badness 10000) in paragraph at lines 72694--72699
[]\T1/qtm/m/n/10 {`key':'DataRobot', `sum-mary':{`min':0, `max':29815.0, `std-D
ev':6498.029,
[722] [723] [724]
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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
[725] [726]
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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 73388--73391
\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 ,
[727]
Underfull \hbox (badness 10000) in paragraph at lines 73536--73539
[]\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 73536--73539
\T1/txtt/m/n/10 pairwise_conditional_probabilities.statistic_dataframes[(0,1)].

[728] [729] [730] [731] [732] [733] [734] [735]
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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-
[736]
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\T1/qtm/m/n/10 Time unit of the fea-ture deriva-tion win-dow. One of \T1/txtt/m
/n/10 datarobot.enums.
[737] [738]
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\T1/qtm/m/n/10 tion win-dows set-tings. If present, time-aware joins will be us
ed. Only al-

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[]\T1/txtt/bx/n/10 prediction_point_rounding \T1/qtm/m/n/10 (\T1/txtt/m/n/10 in
t\T1/qtm/m/n/10 , or \T1/txtt/m/n/10 None\T1/qtm/m/n/10 ) ^^U Clos-est value of
 pre-dic-

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\T1/qtm/m/n/10 Time unit of the fea-ture deriva-tion win-dow. One of \T1/txtt/m
/n/10 datarobot.enums.
[739]
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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 74948--74950
[]\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.
[740]
Underfull \hbox (badness 10000) in paragraph at lines 75063--75065
[]\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 75071--75075
\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.
[741] [742] [743] [744] [745] [746] [747] [748] [749] [750] [751] [752]
Chapter 33.

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l.77342 \PYG{g+go}{└── finance/}
                                      

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Type  H <return>  for immediate help.
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l.77342 \PYG{g+go}{└── finance/}
                                      

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l.77342 \PYG{g+go}{└── finance/}
                                      

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Type  H <return>  for immediate help.
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l.77343 \PYG{g+go}{    ├── fy\PYGZhy{}2024/}
                                                  

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l.77343 \PYG{g+go}{    ├── fy\PYGZhy{}2024/}
                                                  

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l.77343 \PYG{g+go}{    ├── fy\PYGZhy{}2024/}
                                                  

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 ...                                              
                                                  
l.77344 \PYG{g+go}{    │   └── budgets/}
                                                

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l.77344 \PYG{g+go}{    │   └── budgets/}
                                                

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l.77344 \PYG{g+go}{    │   └── budgets/}
                                                

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               not set up for use with LaTeX.

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Type  H <return>  for immediate help.
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l.77344 \PYG{g+go}{    │   └── budgets/}
                                                

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               not set up for use with LaTeX.

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Type  H <return>  for immediate help.
 ...                                              
                                                  
l.77345 ...─ Q2\PYGZus{}budget\PYGZus{}2024.pdf}
                                                  

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

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Type  H <return>  for immediate help.
 ...                                              
                                                  
l.77345 ...─ 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.77345 ...─ 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.77345 ...─ 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.77346 ...   └── 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.77346 ...   └── 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.77346 ...   └── 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
[772]
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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
[776] [777]
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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
[778] [779] [780] [781] [782] [783] [784] [785] [786] [787] [788] [789]
[790] [791] [792] [793] [794] [795] [796]
Chapter 34.
[797] [798] [799] [800] [801] [802] [803] [804]
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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 ,
[805] [806]
Chapter 35.
[807] [808] [809] [810] [811] [812] [813] [814] [815] [816] [817] [818]
[819] [820] [821] [822] [823] [824] [825] [826]
Chapter 36.
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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 )
[829]
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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 )
[830] [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]
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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 work. Val-ues: [\T1/qtm/m/it/10 datarobot.NETWORK_EGRESS_POLICY.
NONE\T1/qtm/m/n/10 ,
[833] [834] [835] [836] [837] [838]
Chapter 37.
[839] [840] [841] [842] [843] [844] [845] [846] [847] [848] [849] [850]
[851] [852] [853]
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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-
[854]
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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 ,
[855] [856] [857] [858]
Chapter 38.
[859]
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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
[860]
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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.
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[]\T1/txtt/bx/n/10 max_wait \T1/qtm/m/n/10 (\T1/txtt/m/n/10 int\T1/qtm/m/n/10 ,
 \T1/qtm/m/it/10 op-tional\T1/qtm/m/n/10 ) ^^U Max-i-mum num-ber of sec-onds to
 wait when

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hours). Raises
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Chapter 40.

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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


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

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

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

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

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

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

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

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\T1/txtt/m/n/10 histogram [{\TS1/txtt/m/n/10 '\T1/txtt/m/n/10 interval_start\TS
1/txtt/m/n/10 '\T1/txtt/m/n/10 : []33.37288135593221, \TS1/txtt/m/n/10 '\T1/txt
t/m/n/10 interval_end\TS1/txtt/m/n/10 '\T1/txtt/m/n/10 : []32.
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[]\T1/txtt/bx/n/10 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.
[892] [893] [894] [895]
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[]\T1/txtt/m/n/10 [ [ True Negative, False Positive ], [ False Negative, True P
ositive
[896] [897] [898] [899] [900] [901] [902]
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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
[903]
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\T1/qtm/m/n/10 Sta-tus back-test/holdout train-ing. One of \T1/txtt/m/n/10 data
robot.enums.

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\T1/qtm/m/n/10 Sta-tus back-test/holdout val-i-da-tion. One of \T1/txtt/m/n/10 
datarobot.enums.
[904] [905]
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[]\T1/txtt/bx/n/10 resolutions \T1/qtm/m/n/10 (\T1/txtt/m/n/10 list \T1/qtm/m/n
/10 of \T1/txtt/m/n/10 string\T1/qtm/m/n/10 ) ^^U A list of \T1/txtt/m/n/10 dat
arobot.enums.

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

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nts avail-able time res-o-lu-tions

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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

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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 96249--96252
\T1/qtm/m/n/10 de-pen-dence for the data. Since `v2.19' this is op-tional and d
e-faults to
[914] [915] [916] [917] [918] [919] [920] [921] [922]
Underfull \hbox (badness 10000) in paragraph at lines 97376--97379
[]\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 97381--97384
[]\T1/qtm/m/n/10 Com-pute pre-dic-tions for the model and dataset via \T1/txtt/
m/n/10 datarobot.Model.
[923]
Underfull \hbox (badness 6708) in paragraph at lines 97454--97460
\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 97454--97460
\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 97470--97473
[]\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 97475--97478
[]\T1/qtm/m/n/10 Com-pute pre-dic-tions for the model and dataset via \T1/txtt/
m/n/10 datarobot.Model.
[924] [925] [926] [927] [928] [929] [930] [931] [932] [933] [934] [935]
[936]
Chapter 41.
[937] [938] [939] [940] [941] [942] [943] [944]
Chapter 42.
[945] [946] [947] [948]
Chapter 43.
[949] [950] [951] [952]
Underfull \hbox (badness 5696) in paragraph at lines 101143--101151
[]\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 101143--101151
[][]\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
[953] [954] [955] [956] [957] [958]
Chapter 44.
[959] [960]
Chapter 45.
[961] [962] [963] [964] [965] [966] [967] [968] [969] [970]
Overfull \vbox (1.64996pt too high) detected at line 103172
[971] [972] [973] [974] [975] [976]
Chapter 46.
[977]
Underfull \hbox (badness 10000) in paragraph at lines 104044--104046
[]\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
[978] [979] [980] [981] [982] [983]
Underfull \hbox (badness 10000) in paragraph at lines 104678--104684
\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 104678--104684
\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 104762--104769
[]\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 104762--104769
\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 104762--104769
\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
[984]
Underfull \hbox (badness 10000) in paragraph at lines 104771--104775
[]\T1/txtt/bx/n/10 include_bias_mitigation_feature_as_predictor_variable
[985] [986]
Underfull \hbox (badness 7888) in paragraph at lines 105001--105008
\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 105001--105008
\T1/txtt/m/n/10 in the repository (this may be extremely slow). If unspecified,


Underfull \hbox (badness 10000) in paragraph at lines 105024--105030
\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 105024--105030
\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.
[987] [988]
Underfull \hbox (badness 10000) in paragraph at lines 105226--105232
\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 105226--105232
\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 105272--105274
[]\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 ,
[989] [990]
Underfull \hbox (badness 10000) in paragraph at lines 105489--105497
[]\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 105489--105497
\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 105489--105497
\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 105489--105497
\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 105489--105497
\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 105489--105497
\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 105489--105497
\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 105489--105497
\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
[991] [992] [993] [994]
Underfull \hbox (badness 10000) in paragraph at lines 105847--105849
[]\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 105886--105889
[]\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
[995]
Underfull \hbox (badness 10000) in paragraph at lines 105941--105943
[]\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
[996]
Underfull \hbox (badness 10000) in paragraph at lines 106006--106012
[]\T1/txtt/bx/n/10 credential_data \T1/qtm/m/n/10 (\T1/txtt/m/n/10 BasicCredent
ialsDataDict | S3CredentialsDataDict |
[997] [998]
Overfull \hbox (0.89392pt too wide) in paragraph at lines 106290--106294
[]\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 ,
[999] [1000] [1001] [1002] [1003] [1004] [1005] [1006] [1007]
Underfull \hbox (badness 10000) in paragraph at lines 107380--107389
[]\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
[1008]
Underfull \hbox (badness 10000) in paragraph at lines 107479--107484
[]\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 107479--107484
[][]\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 107496--107499
\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
[1009] [1010]
Underfull \hbox (badness 10000) in paragraph at lines 107698--107703
\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
[1011]
Underfull \hbox (badness 10000) in paragraph at lines 107876--107881
\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 107876--107881
\T1/qtm/m/n/10 QUEUE_STATUS.INPROGRESS, will re-turn the mod-el-ing jobs that a
re cur-rently
[1012]
Underfull \hbox (badness 10000) in paragraph at lines 107921--107926
\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] [1014] [1015]
Underfull \hbox (badness 10000) in paragraph at lines 108315--108321
[]\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 108315--108321
\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 ,
[1016]
Underfull \hbox (badness 10000) in paragraph at lines 108334--108341
[]\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 108334--108341
\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 108334--108341
\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 108343--108347
[]\T1/txtt/bx/n/10 include_bias_mitigation_feature_as_predictor_variable

Overfull \hbox (3.89389pt too wide) in paragraph at lines 108378--108382
[]\T1/txtt/bx/n/10 number_of_incremental_learning_iterations_before_best_model_
selection
[1017]
Underfull \hbox (badness 10000) in paragraph at lines 108504--108507
[]\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 108504--108507
\T1/txtt/m/n/10 datarobot.helpers.partitioning_methods.PartitioningMethod \T1/q
tm/m/n/10 that will
[1018] [1019] [1020]
Underfull \hbox (badness 10000) in paragraph at lines 108798--108800
[]\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.
[1021] [1022] [1023]
Underfull \hbox (badness 10000) in paragraph at lines 109299--109306
[]\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 109299--109306
\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 109299--109306
\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
[1024] [1025]
Underfull \hbox (badness 10000) in paragraph at lines 109507--109513
[]\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 109518--109523
\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
[1026] [1027]
Underfull \hbox (badness 6364) in paragraph at lines 109722--109725
[]\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
[1028]
Underfull \hbox (badness 10000) in paragraph at lines 109793--109799
[]\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 109793--109799
\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 109812--109819
[]\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 109812--109819
\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 109827--109829
[]\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 109831--109833
[]\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
[1029]
Underfull \hbox (badness 10000) in paragraph at lines 109876--109880
[]\T1/txtt/bx/n/10 number_of_incremental_learning_iterations_before_best_model_
selection
[1030] [1031]
Underfull \hbox (badness 10000) in paragraph at lines 110285--110288
[]\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 110295--110298
[]\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 ,
[1032]
Underfull \hbox (badness 10000) in paragraph at lines 110306--110309
[]\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 110306--110309
\T1/txtt/m/n/10 DATETIME_AUTOPILOT_DATA_SELECTION_METHOD\T1/qtm/m/n/10 . Whethe
r mod-els cre-ated by the
[1033]
Underfull \hbox (badness 6927) in paragraph at lines 110423--110426
[]\T1/txtt/bx/n/10 periodicities \T1/qtm/m/n/10 (\T1/txtt/m/n/10 list \T1/qtm/m
/n/10 of [][]\T1/txtt/m/sl/10 Periodicity[][]\T1/qtm/m/n/10 , \T1/qtm/m/it/10 o
p-tional\T1/qtm/m/n/10 ) ^^U (New in ver-sion v2.9) a
[1034] [1035]
Underfull \hbox (badness 10000) in paragraph at lines 110597--110602
[]\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 ,
[1036]
Underfull \hbox (badness 10000) in paragraph at lines 110739--110741
[]\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
[1037]
Underfull \hbox (badness 10000) in paragraph at lines 110818--110821
[]\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 110818--110821
\T1/txtt/m/n/10 DATETIME_AUTOPILOT_DATA_SELECTION_METHOD\T1/qtm/m/n/10 . Whethe
r mod-els cre-ated by the
[1038] [1039]
Underfull \hbox (badness 6927) in paragraph at lines 110991--110994
[]\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
[1040] [1041] [1042] [1043] [1044]
Underfull \hbox (badness 10000) in paragraph at lines 111638--111641
[]\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 111638--111641
\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.
[1045] [1046]
Underfull \hbox (badness 5741) in paragraph at lines 111857--111865
\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
[1047] [1048] [1049] [1050] [1051] [1052] [1053] [1054]
Underfull \hbox (badness 10000) in paragraph at lines 113106--113108
[]\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
[1055] [1056] [1057] [1058] [1059] [1060] [1061] [1062]
Chapter 47.
[1063]
Underfull \vbox (badness 10000) detected at line 114026
[1064]
Underfull \hbox (badness 10000) in paragraph at lines 114107--114111
[]\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 114107--114111
\T1/qtm/m/n/10 be present if \T1/txtt/m/n/10 explanation_algorithm \T1/qtm/m/n/
10 was set to
[1065] [1066] [1067] [1068]
Chapter 48.
[1069] [1070]
Underfull \hbox (badness 7099) in paragraph at lines 114801--114804
[]\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 ,
[1071]
Underfull \hbox (badness 7099) in paragraph at lines 114843--114846
[]\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 ,
[1072] [1073] [1074] [1075] [1076]
Chapter 49.
[1077] [1078] [1079] [1080] [1081] [1082] [1083] [1084] [1085] [1086]
Chapter 50.
[1087] [1088] [1089] [1090] [1091] [1092] [1093] [1094] [1095] [1096] [1097]
[1098] [1099] [1100] [1101] [1102] [1103] [1104]
Underfull \hbox (badness 10000) in paragraph at lines 118855--118857
[]\T1/txtt/bx/n/10 datasource_info \T1/qtm/m/n/10 (\T1/txtt/m/n/10 Union[Dataso
urceDataWarehouseInfo\T1/qtm/m/n/10 ,
[1105] [1106] [1107] [1108]
Chapter 51.
[1109] [1110]
Chapter 52.
[1111] [1112] [1113] [1114] [1115] [1116]
Chapter 53.

Underfull \hbox (badness 10000) in paragraph at lines 119833--119835
[]\T1/qtm/m/n/10 Added the \T1/txtt/m/n/10 [pipelines] \T1/qtm/m/n/10 in-stall 
ex-tra for \T1/txtt/m/n/10 datarobot[]early[]access\T1/qtm/m/n/10 : \T1/txtt/m/
n/10 pip install

Overfull \hbox (46.20569pt too wide) in paragraph at lines 119879--119881
[]\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[][]
[1117]
Underfull \hbox (badness 10000) in paragraph at lines 119916--119918
[]\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 119920--119922
[]\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 119924--119926
[]\T1/qtm/m/n/10 Fixed [][]\T1/txtt/m/sl/10 CustomScoringMetric.list[][] \T1/qt
m/m/n/10 so \T1/txtt/m/n/10 isArchived \T1/qtm/m/n/10 is omit-ted when list-ing
 non-archived met-rics

Underfull \hbox (badness 10000) in paragraph at lines 119955--119957
[]\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 119955--119957
\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
[1118]
Underfull \hbox (badness 10000) in paragraph at lines 120057--120059
\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.
[1119] [1120]
Underfull \hbox (badness 10000) in paragraph at lines 120176--120179
[]\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 120176--120179
\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 120223--120225
[]\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 120227--120229
[]\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 120227--120229
\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
[1121] [1122] [1123]
Underfull \hbox (badness 10000) in paragraph at lines 120476--120479
[]\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

Underfull \hbox (badness 10000) in paragraph at lines 120553--120556
[]\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 120553--120556
\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.
[1124]
Underfull \hbox (badness 10000) in paragraph at lines 120672--120674
[]\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 ,
[1125]
Underfull \hbox (badness 7081) in paragraph at lines 120688--120690
[]\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.

Underfull \hbox (badness 10000) in paragraph at lines 120776--120778
[]\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 120780--120782
[]\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
[1126]
Underfull \hbox (badness 8038) in paragraph at lines 120872--120874
[]\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
[1127]
Underfull \hbox (badness 10000) in paragraph at lines 120908--120910
[]\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
[1128]
Underfull \hbox (badness 10000) in paragraph at lines 121007--121009
[]\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 121007--121009
\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 121007--121009
\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 121007--121009
\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
[1129]
Overfull \hbox (1.74904pt too wide) in paragraph at lines 121154--121156
[]\T1/qtm/m/n/10 Added op-tional pa-ram-e-ter \T1/txtt/m/n/10 chunk_definition_
id \T1/qtm/m/n/10 in [][]\T1/txtt/m/sl/10 Model.start_incremental_learning_from
_sample[][]

Underfull \hbox (badness 10000) in paragraph at lines 121203--121205
[]\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
[1130]
Underfull \hbox (badness 10000) in paragraph at lines 121240--121242
[]\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
[1131]
Underfull \hbox (badness 10000) in paragraph at lines 121415--121417
[]\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
[1132]
Underfull \hbox (badness 10000) in paragraph at lines 121463--121465
[]\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 121475--121478
[]\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 121475--121478
[][]\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 121480--121482
[]\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
[1133]
Underfull \hbox (badness 10000) in paragraph at lines 121550--121552
[]\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 121563--121565
[]\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
[1134] [1135] [1136]
Underfull \hbox (badness 10000) in paragraph at lines 121975--121978
[]\T1/qtm/m/n/10 Add new at-tributes to [][]\T1/txtt/m/sl/10 VectorDatabase[][]
\T1/qtm/m/n/10 : \T1/txtt/m/n/10 parent_id\T1/qtm/m/n/10 , \T1/txtt/m/n/10 fami
ly_id\T1/qtm/m/n/10 , \T1/txtt/m/n/10 metadata_columns\T1/qtm/m/n/10 ,

Underfull \hbox (badness 10000) in paragraph at lines 122041--122043
[]\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
[1137]
Underfull \hbox (badness 10000) in paragraph at lines 122119--122121
[]\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 122128--122135
[]\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
[1138]
Underfull \hbox (badness 10000) in paragraph at lines 122155--122157
[]\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 122175--122177
[]\T1/qtm/m/n/10 Re-named \T1/txtt/m/n/10 datarobot.enums.CustomTaskOutgoingNet
workPolicy \T1/qtm/m/n/10 to [][]\T1/txtt/m/sl/10 datarobot.enums.

Overfull \hbox (27.38004pt too wide) in paragraph at lines 122237--122239
[]\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'
[1139]
Underfull \hbox (badness 10000) in paragraph at lines 122300--122303
[]\T1/txtt/m/n/10 datarobot._experimental.models.time_series_wrangling_template
.user_flow_template
[1140]
Underfull \hbox (badness 10000) in paragraph at lines 122471--122474
[]\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
[1141]
Underfull \hbox (badness 10000) in paragraph at lines 122601--122603
[]\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
[1142]
Underfull \hbox (badness 10000) in paragraph at lines 122740--122744
[]\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:
[1143]
Underfull \hbox (badness 10000) in paragraph at lines 122820--122822
[][][]\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
[1144]
Underfull \hbox (badness 10000) in paragraph at lines 122895--122898
[]\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 122895--122898
\T1/txtt/m/sl/10 score_with_leaderboard_model[][] \T1/qtm/m/n/10 and [][]\T1/tx
tt/m/sl/10 BatchPredictionJob.score[][] \T1/qtm/m/n/10 that au-to-mat-i-cally a
s-signs the

Underfull \hbox (badness 10000) in paragraph at lines 122967--122969
[]\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.
[1145] [1146]
Underfull \hbox (badness 10000) in paragraph at lines 123127--123129
[]\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.
[1147] [1148] [1149]
Underfull \hbox (badness 10000) in paragraph at lines 123482--123484
[]\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.
[1150] [1151]
Underfull \hbox (badness 10000) in paragraph at lines 123709--123711
\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
[1152] [1153] [1154]
Underfull \hbox (badness 10000) in paragraph at lines 124166--124168
[]\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 124170--124172
[]\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 124174--124176
[]\T1/qtm/m/n/10 If the user con-fig-ures the client via env vars, then set the
 env var
[1155]
Underfull \hbox (badness 10000) in paragraph at lines 124349--124351
[]\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 124373--124375
\T1/txtt/m/sl/10 PredictionExplanations.get_all_as_dataframe()[][] \T1/qtm/m/n/
10 and [][]\T1/txtt/m/sl/10 datarobot.PredictionExplanations.
[1156] [1157]
Underfull \hbox (badness 10000) in paragraph at lines 124502--124505
[]\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 124512--124515
[]\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 124527--124530
[]\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 124532--124535
[]\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.
[1158]
Underfull \hbox (badness 10000) in paragraph at lines 124694--124698
[]\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 124694--124698
[][]\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 124700--124705
[]\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 124700--124705
[][]\T1/txtt/m/sl/10 DataEngineQueryGenerator.prepare_prediction_dataset_from_c
atalog[][] \T1/qtm/m/n/10 that ap-ply time se-ries
[1159]
Underfull \hbox (badness 10000) in paragraph at lines 124810--124812
[]\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
[1160] [1161] [1162]
Underfull \hbox (badness 10000) in paragraph at lines 125095--125098
[]\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 125100--125102
[]\T1/qtm/m/n/10 Added in-for-ma-tion about ver-tex to ad-vanced tun-ing pa-ram
-e-ters [][]\T1/txtt/m/sl/10 datarobot.models.Model.

Underfull \hbox (badness 10000) in paragraph at lines 125183--125185
[][][]\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 125187--125189
[][][]\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
[1163]
Underfull \hbox (badness 6364) in paragraph at lines 125219--125221
[]\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.
[1164]
Underfull \hbox (badness 10000) in paragraph at lines 125342--125349
[]\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 125342--125349
[][]\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
[1165]
Underfull \hbox (badness 10000) in paragraph at lines 125542--125544
[]\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 125560--125563
[]\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
[1166] [1167]
Underfull \hbox (badness 10000) in paragraph at lines 125812--125815
[]\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 ,
[1168]
Underfull \hbox (badness 6268) in paragraph at lines 125913--125916
[]\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 125948--125952
[]\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
[1169]
Underfull \hbox (badness 10000) in paragraph at lines 125958--125966
[]\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 125958--125966
\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 125958--125966
\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 125958--125966
\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 125958--125966
\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 125958--125966
[][]\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.
[1170]
Underfull \hbox (badness 10000) in paragraph at lines 126108--126111
[]\T1/qtm/m/n/10 Fix [][]\T1/txtt/m/sl/10 datarobot.CustomTaskVersion[][] \T1/q
tm/m/n/10 and [][]\T1/txtt/m/sl/10 datarobot.CustomModelVersion[][] \T1/qtm/m/n
/10 to cor-rectly for-mat

Underfull \hbox (badness 10000) in paragraph at lines 126184--126187
[]\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.
[1171] [1172]
Underfull \hbox (badness 10000) in paragraph at lines 126429--126432
[]\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 126434--126437
[]\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.
[1173]
Underfull \hbox (badness 7907) in paragraph at lines 126605--126610
[]\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:
[1174]
Underfull \hbox (badness 10000) in paragraph at lines 126647--126650
[]\T1/qtm/m/n/10 Added method to down-load fea-ture dis-cov-ery recipe SQLs (li
m-ited beta fea-ture). [][]\T1/txtt/m/sl/10 Project.

Underfull \hbox (badness 10000) in paragraph at lines 126723--126728
[]\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 126723--126728
\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.
[1175]
Underfull \hbox (badness 10000) in paragraph at lines 126748--126756
[][]\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 126748--126756
\T1/txtt/m/sl/10 get_pairwise_correlations[][]\T1/qtm/m/n/10 , [][]\T1/txtt/m/s
l/10 Feature.get_pairwise_joint_probabilities[][] \T1/qtm/m/n/10 and [][]\T1/tx
tt/m/sl/10 Feature.

Underfull \hbox (badness 10000) in paragraph at lines 126824--126827
[]\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 126829--126835
[]\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 126829--126835
\T1/txtt/m/sl/10 FeatureAssociationMatrixDetails[][] \T1/qtm/m/n/10 and [][]\T1
/txtt/m/sl/10 datarobot.models.FeatureAssociationFeaturelists[][]
[1176]
Underfull \hbox (badness 10000) in paragraph at lines 126859--126866
[]\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 126859--126866
\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 ,
[1177]
Underfull \hbox (badness 8170) in paragraph at lines 126995--126998
[]\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 127000--127003
\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
[1178]
Underfull \hbox (badness 10000) in paragraph at lines 127083--127088
[]\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 127108--127110
[]\T1/qtm/m/n/10 Class \T1/txtt/m/n/10 FeatureEngineeringGraph \T1/qtm/m/n/10 h
as been re-moved. Use [][]\T1/txtt/m/sl/10 datarobot.models.

Underfull \hbox (badness 10000) in paragraph at lines 127187--127191
[]\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
[1179]
Underfull \hbox (badness 10000) in paragraph at lines 127230--127233
[]\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:
[1180]
Underfull \hbox (badness 10000) in paragraph at lines 127373--127382
[]\T1/qtm/m/n/10 Added new ar-gu-ments \T1/txtt/m/n/10 explanation_algorithm \T
1/qtm/m/n/10 and \T1/txtt/m/n/10 max_explanations \T1/qtm/m/n/10 to method [][]
\T1/txtt/m/sl/10 Model.

Underfull \hbox (badness 10000) in paragraph at lines 127384--127391
[]\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.
[1181] [1182]
Underfull \hbox (badness 10000) in paragraph at lines 127575--127579
[]\T1/qtm/m/n/10 Batch Pre-dic-tion jobs now sup-port scor-ing to Azure and Goo
gle Cloud Stor-age with meth-ods

Underfull \hbox (badness 8132) in paragraph at lines 127613--127618
[]\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 127633--127637
[]\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 127633--127637
[][]\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 127657--127659
[]\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 .
[1183] [1184]
Underfull \hbox (badness 10000) in paragraph at lines 127901--127905
[]\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.
[1185]
Underfull \hbox (badness 10000) in paragraph at lines 127974--127976
[]\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 127974--127976
[][]\T1/txtt/m/sl/10 Deployment.get_prediction_intervals_settings[][] \T1/qtm/m
/n/10 and [][]\T1/txtt/m/sl/10 Deployment.

Overfull \hbox (7.70421pt too wide) in paragraph at lines 128007--128009
[]\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 128027--128030
[]\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.
[1186]
Underfull \hbox (badness 7925) in paragraph at lines 128064--128066
[]\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 128072--128077
[]\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
[1187]
Underfull \hbox (badness 10000) in paragraph at lines 128163--128165
[]\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 128163--128165
\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
[1188]
Underfull \hbox (badness 7451) in paragraph at lines 128252--128255
[]\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 128252--128255
\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
[1189] [1190]
Underfull \hbox (badness 10000) in paragraph at lines 128459--128468
[]\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 128459--128468
[][]\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 128498--128500
[][][]\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
[1191]
Underfull \hbox (badness 10000) in paragraph at lines 128620--128623
[]\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 128639--128644
[]\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 128639--128644
\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.
[1192]
Underfull \hbox (badness 10000) in paragraph at lines 128670--128674
[]\T1/qtm/m/n/10 New \T1/txtt/m/n/10 number_of_known_in_advance_features \T1/qt
m/m/n/10 at-tribute has been added to the [][]\T1/txtt/m/sl/10 datarobot.

Underfull \hbox (badness 10000) in paragraph at lines 128763--128771
[]\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 128763--128771
\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
[1193]
Underfull \hbox (badness 10000) in paragraph at lines 128786--128789
[]\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 128796--128798
[]\T1/qtm/m/n/10 In-di-vid-ual cross val-i-da-tion scores can be re-trieved for
 new mod-els us-ing [][]\T1/txtt/m/sl/10 Model.

Underfull \hbox (badness 10000) in paragraph at lines 128838--128842
[][][]\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.
[1194]
Underfull \hbox (badness 10000) in paragraph at lines 128955--128959
[]\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 128955--128959
\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 128975--128979
[]\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.
[1195]
Underfull \hbox (badness 5302) in paragraph at lines 129001--129005
\T1/qtm/m/n/10 re-cated and will be re-moved in 2.14. Use [][]\T1/txtt/m/sl/10 
datarobot.DatetimePartitioningSpecification.
[1196] [1197]
Underfull \hbox (badness 10000) in paragraph at lines 129275--129278
[]\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.
[1198] [1199]
Underfull \hbox (badness 10000) in paragraph at lines 129468--129470
[]\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,
[1200]
Underfull \hbox (badness 10000) in paragraph at lines 129572--129576
[]\T1/qtm/m/n/10 (Only rel-e-vant for on-premise users with a Stan-dalone Scor-
ing clus-ter.) Meth-ods
[1201]
Underfull \hbox (badness 6268) in paragraph at lines 129687--129691
[]\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.
[1202] [1203]
Underfull \hbox (badness 10000) in paragraph at lines 129823--129825
[]\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.
[1204] [1205] [1206]
Underfull \hbox (badness 6016) in paragraph at lines 130166--130170
[]\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 130186--130191
[]\T1/qtm/m/n/10 If a \T1/txtt/m/n/10 ClientError \T1/qtm/m/n/10 or \T1/txtt/m/
n/10 ServerError \T1/qtm/m/n/10 oc-curs dur-ing a call to \T1/txtt/m/n/10 Proje
ct.from_async\T1/qtm/m/n/10 , then a

Underfull \hbox (badness 10000) in paragraph at lines 130257--130260
[]\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
[1207] [1208] [1209] [1210] (./datarobot-public-api-client.ind [1211] [1212]
[1213]
Underfull \hbox (badness 10000) in paragraph at lines 88--90
[]\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

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) [6] [1] [2]
Chapter 1.

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

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[][][]\T1/txtt/m/sl/10 Dataset.create_from_data_source[][] \T1/qtm/m/n/10 takes
 data from a data source. If you have set
[6] [7] [8] (/usr/share/texmf/tex/latex/tex-gyre/ts1qtm.fd) [9] [10] [11]
[12]
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[15] [16] [17] [18] [19] [20] [21] [22]
Chapter 3.
[23] [24] [25] [26] [27] [28] [29]
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[30] [31] [32] [33] [34]
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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
[69] [70] [71]

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

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

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[96] [97 <./sample1.png>] [98 <./sample2.png>] [99 <./activation_map1.png> <./a
ctivation_map2.png>] [100] [101 <./embeddings.png>] [102] [103] [104]
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Chapter 4.
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[]\T1/qtm/m/n/10 In or-der to sched-ule the ex-e-cu-tion of a batch pre-dic-tio
n job, a def-i-ni-tion must first be cre-ated us-

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

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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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[141] [142] [143]
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\T1/qtm/m/n/10 of [][]\T1/txtt/m/sl/10 datarobot.models.deployment.DeploymentGr
antSharedRoleWithId[][] \T1/qtm/m/n/10 and [][]\T1/txtt/m/sl/10 datarobot.model
s.
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[]\T1/qtm/m/n/10 For deployment-specific met-rics, do not pro-vide model in-for
-ma-tion. For model spe-cific met-rics set
[155] [156]
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\T1/qtm/m/n/10 To re-port ag-gre-gated cus-tom met-rics val-ues from a dataset 
in the Data Reg-istry, use the
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[]\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
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\T1/qtm/m/n/10 To cre-ate a hosted cus-tom met-ric job from a gallery tem-plate
, use \T1/txtt/m/n/10 dr.registry.Job.
[185] [186] [187]
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[]\T1/qtm/m/n/10 You can also fil-ter the reg-is-tered model ver-sions that are
 re-turned by pass-ing an in-stance of the
[188] [189] [190] [191] [192] [193] [194] [195] [196]
Chapter 6.
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Chapter 7.
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[]\T1/qtm/m/n/10 Use Cases sup-port \T1/txtt/m/n/10 SHARING_ROLE.OWNER\T1/qtm/m
/n/10 , \T1/txtt/m/n/10 SHARING_ROLE.EDITOR\T1/qtm/m/n/10 , \T1/txtt/m/n/10 SHA
RING_ROLE.CONSUMER \T1/qtm/m/n/10 and
[211] [212]
Chapter 8.
[213] [214] [215] [216]
Chapter 9.
[217] [218]
Chapter 10.
[219] [220]
Chapter 11.
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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.:
[244]
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[]\T1/txtt/bx/n/10 source_url \T1/qtm/m/n/10 (\T1/txtt/m/n/10 str\T1/qtm/m/n/10
 ) ^^U The URL for the pre-dic-tion dataset (e.g.:

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[]\T1/txtt/bx/n/10 destination_url \T1/qtm/m/n/10 (\T1/txtt/m/n/10 str\T1/qtm/m
/n/10 ) ^^U The URL for the scored dataset (e.g.:
[245]
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[]\T1/qtm/m/n/10 par-ti-tion : sub-set of train-ing data to score, one of \T1/t
xtt/m/n/10 datarobot.enums.
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\T1/txtt/bx/n/10 ValueError: \T1/qtm/m/n/10 ^^U If the generic Job was not a pr
e-dict job, e.g., job_type !=
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Chapter 15.

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

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\T1/qtm/m/it/10 tinue_on_error=False\T1/qtm/m/n/10 , 
[261]
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\T1/qtm/m/it/10 tinue_on_error=False\T1/qtm/m/n/10 , 
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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 ,
[268] [269] [270] [271]
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[]\T1/txtt/bx/n/10 task_parameters \T1/qtm/m/n/10 (\T1/txtt/m/n/10 list(UserBlu
eprintTaskParameterValidationRequestParamItem)\T1/qtm/m/n/10 )
[272]
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[]\T1/txtt/bx/n/10 share_recipient_type \T1/qtm/m/n/10 (\T1/txtt/m/n/10 enum(\T
S1/txtt/m/n/10 ``\T1/qtm/m/n/10 'user'\T1/txtt/m/n/10 , \TS1/txtt/m/n/10 ``'\T1
/txtt/m/n/10 group\TS1/txtt/m/n/10 '\T1/qtm/m/n/10 , \TS1/txtt/m/n/10 '\T1/txtt
/m/n/10 organization\TS1/txtt/m/n/10 '\T1/txtt/m/n/10 )\T1/qtm/m/n/10 ,
[273]
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[]\T1/txtt/bx/n/10 roles \T1/qtm/m/n/10 (\T1/txtt/m/n/10 list(or(GrantAccessCon
trolWithUsernameValidator\T1/qtm/m/n/10 ,

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[]\T1/txtt/bx/n/10 limit \T1/qtm/m/n/10 (\T1/txtt/m/n/10 int\T1/qtm/m/n/10 , \T
1/txtt/m/n/10 Optional. (default\T1/qtm/m/n/10 : \T1/txtt/m/n/10 0)\T1/qtm/m/n/
10 , \T1/txtt/m/n/10 at most this many results are
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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 )
[276]
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[]\T1/txtt/bx/n/10 description \T1/qtm/m/n/10 (\T1/txtt/m/n/10 Optional[str] (D
efault=None)\T1/qtm/m/n/10 ) ^^U The de-scrip-tion of the user

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[]\T1/txtt/bx/n/10 limit \T1/qtm/m/n/10 (\T1/txtt/m/n/10 int\T1/qtm/m/n/10 , \T
1/txtt/m/n/10 Optional. (default\T1/qtm/m/n/10 : \T1/txtt/m/n/10 0)\T1/qtm/m/n/
10 , \T1/txtt/m/n/10 at most this many results are
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[]\T1/txtt/bx/n/10 calibrate_predictions \T1/qtm/m/n/10 (\T1/txtt/m/n/10 Option
al[bool]\T1/qtm/m/n/10 ) ^^U whether anomaly pre-dic-tions

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\T1/qtm/m/n/10 should be cal-i-brated to be be-tween 0 and 1 by DR. if None, us
es de-fault
[280] [281] [282] [283] [284] [285] [286] [287] [288] [289] [290] [291]
[292] [293] [294]
Chapter 17.
[295] [296] [297] [298]
Chapter 18.
[299]
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[]\T1/txtt/m/n/10 List \T1/qtm/m/n/10 of \T1/txtt/m/n/10 AutomatedDocument obje
cts\T1/qtm/m/n/10 , \T1/txtt/m/n/10 where each object contains

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[303] [304] [305] [306] [307] [308]
Chapter 19.
[309] [310] [311] [312] [313] [314] [315] [316]
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[]\T1/txtt/bx/n/10 kwargs \T1/qtm/m/n/10 (\T1/txtt/m/n/10 Keyword arguments spe
cific \T1/qtm/m/n/10 to \T1/txtt/m/n/10 the given credential_type that
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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 )
[334]
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\T1/qtm/m/n/10 Cre-ate a hosted cus-tom met-ric from a tem-plate. A short-cut f
or 2 calls:
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Chapter 21.
[341] [342] [343] [344]
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 ,
[345]
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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
[346]
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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 ] 
[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 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
[349] [350]
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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 ,
[351]
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[]\T1/txtt/bx/n/10 network_egress_policy \T1/qtm/m/n/10 (\T1/txtt/m/n/10 dataro
bot.NETWORK_EGRESS_POLICY\T1/qtm/m/n/10 , \T1/qtm/m/it/10 op-tional\T1/qtm/m/n/
10 )

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

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\T1/qtm/m/n/10 pub-lic net-work. Val-ues: [\T1/qtm/m/it/10 datarobot.NETWORK_EG
RESS_POLICY.NONE\T1/qtm/m/n/10 ,
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[]\T1/txtt/bx/n/10 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 ,
[354]
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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 ,
[355] [356] [357]
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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 ,
[358]
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[359] [360] [361] [362] [363] [364] [365] [366] [367]
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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
[368] [369]
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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
[370] [371] [372] [373] [374]
Chapter 23.
[375] [376] [377] [378]
Chapter 24.
[379] [380] [381] [382] [383] [384]
Chapter 25.
[385]
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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-
[386] [387] [388] [389]
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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:
[390] [391] [392] [393] [394] [395] [396] [397] [398] [399] [400]
Chapter 26.
[401] [402] [403] [404] [405] [406]
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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-
[407] [408]
Chapter 27.
[409] [410] [411] [412] [413] [414] [415] [416] [417] [418]
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\T1/qtm/m/n/10 GIVEN _ NAME / SCHEMA . TABLE _ NAME$[][]' - `[][]$jdbc : DATA _
 SOURCE _ GIVEN _
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Chapter 28.
[435]
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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
[440]
(/usr/share/texlive/texmf-dist/tex/latex/fontawesome5/ufontawesomefree2.fd)
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[453] [454] [455] [456]
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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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[473]
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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
[477]
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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
[478] [479]
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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
[480]
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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
[481] [482] [483] [484]
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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
[485]
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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
[486] [487] [488] [489]
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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
[490]
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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
[491] [492] [493]
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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
[494] [495] [496]
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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
[497]
Underfull \hbox (badness 10000) in paragraph at lines 45387--45392
[]\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 45387--45392
[][]\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 45400--45403
\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
[498] [499] [500] [501] [502] [503] [504] [505] [506] [507]
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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
[508]
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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
[509] [510]
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[]\T1/qtm/m/n/10 Each list item is a dict with the keys \T1/txtt/m/n/10 feature
Name\T1/qtm/m/n/10 , \T1/txtt/m/n/10 impactNormalized\T1/qtm/m/n/10 ,

Underfull \hbox (badness 10000) in paragraph at lines 46879--46882
\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

Underfull \hbox (badness 10000) in paragraph at lines 47005--47007
[]\T1/txtt/bx/n/10 source \T1/qtm/m/n/10 (\T1/txtt/m/n/10 str\T1/qtm/m/n/10 ) ^
^U ROC curve data source. Check
[511] [512] [513] [514] [515]
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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
[516]
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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
[517] [518] [519]
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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
[520] [521] [522]
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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
[535]
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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
[536] [537]
Underfull \hbox (badness 10000) in paragraph at lines 50268--50271
[]\T1/qtm/m/n/10 Each list item is a dict with the keys \T1/txtt/m/n/10 feature
Name\T1/qtm/m/n/10 , \T1/txtt/m/n/10 impactNormalized\T1/qtm/m/n/10 ,

Underfull \hbox (badness 10000) in paragraph at lines 50277--50280
\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
[538]
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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
[539] [540] [541] [542]
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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
[543]
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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
[544] [545] [546]
Underfull \hbox (badness 10000) in paragraph at lines 51558--51561
\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
[547] [548]
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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 51749--51754
[][]\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
[549] [550] [551]
Underfull \hbox (badness 10000) in paragraph at lines 52054--52056
[]\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
[552] [553] [554]
Underfull \hbox (badness 10000) in paragraph at lines 52416--52425
[]\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
[555]
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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 52485--52490
[][]\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 52498--52501
\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
[556] [557]
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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
[558] [559] [560] [561]
Underfull \hbox (badness 10000) in paragraph at lines 53261--53266
[]\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 53261--53266
[][]\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
[562] [563] [564] [565] [566] [567] [568] [569] [570] [571] [572] [573]
[574]
Underfull \hbox (badness 10000) in paragraph at lines 54640--54643
\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
[575] [576] [577] [578] [579] [580] [581] [582] [583]
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[]\T1/txtt/bx/n/10 source \T1/qtm/m/n/10 (\T1/txtt/m/n/10 str\T1/qtm/m/n/10 ) ^
^U Con-fu-sion chart source. Check
[584]
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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

Underfull \hbox (badness 10000) in paragraph at lines 55890--55892
[]\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
[585] [586] [587]
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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
[588] [589] [590] [591]
Underfull \hbox (badness 10000) in paragraph at lines 56777--56780
\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

Underfull \hbox (badness 10000) in paragraph at lines 56824--56829
[]\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 56824--56829
[][]\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
[592] [593] [594]
Underfull \hbox (badness 10000) in paragraph at lines 57043--57045
[]\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
[595]
Underfull \hbox (badness 10000) in paragraph at lines 57210--57215
[]\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 57210--57215
[][]\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 57223--57226
\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
[596] [597] [598] [599] [600] [601] [602] [603] [604] [605] [606]
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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
[607] [608]
Underfull \hbox (badness 10000) in paragraph at lines 58664--58667
[]\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
[609]
Underfull \hbox (badness 10000) in paragraph at lines 58906--58909
[]\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 ,
[610]
Underfull \hbox (badness 10000) in paragraph at lines 58915--58918
\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

Underfull \hbox (badness 10000) in paragraph at lines 59041--59043
[]\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
[611] [612] [613] [614] [615]
Underfull \hbox (badness 10000) in paragraph at lines 59660--59663
[]\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 59719--59723
[]\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
[616] [617] [618] [619]
Underfull \hbox (badness 10000) in paragraph at lines 60196--60199
\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
[620] [621]
Underfull \hbox (badness 10000) in paragraph at lines 60387--60392
[]\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 60387--60392
[][]\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
[622] [623] [624]
Underfull \hbox (badness 10000) in paragraph at lines 60692--60694
[]\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 60728--60730
[]\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
[625] [626] [627]
Underfull \hbox (badness 10000) in paragraph at lines 61054--61063
[]\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 61123--61128
[]\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 61123--61128
[][]\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 61136--61139
\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
[628] [629] [630] [631] [632] [633] [634]
Underfull \hbox (badness 10000) in paragraph at lines 62063--62065
[]\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
[635]
Underfull \hbox (badness 10000) in paragraph at lines 62126--62138
[]\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 62126--62138
\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 62126--62138
\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 62126--62138
\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 62126--62138
\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 62126--62138
\T1/qtm/m/n/10 | Grid-SearchAl-go-rithm.EXHAUSTIVE_SEARCH (de-fault) | | Grid-S
earch-
[636] [637] [638] [639] [640] [641] [642] [643] [644] [645] [646] [647]
[648] [649] [650] [651] [652] [653] [654]
Underfull \hbox (badness 10000) in paragraph at lines 64716--64718
[]\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
[655] [656] [657] [658] [659] [660]
Chapter 30.
[661] [662] [663] [664] [665] [666] [667] [668]
Overfull \vbox (0.61996pt too high) detected at line 66120
[669] [670] [671] [672] [673] [674] [675]
Underfull \hbox (badness 10000) in paragraph at lines 66861--66865
\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 66861--66865
\T1/qtm/m/n/10 To up-date ex-ist-ing `'pre-dic-tions_data_collection'' set-ting
s, see
[676] [677] [678] [679] [680] [681] [682] [683] [684] [685]
Underfull \hbox (badness 10000) in paragraph at lines 68193--68195
[]\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 68228--68230
\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 68228--68230
\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-
[686] [687] [688] [689] [690] [691] [692] [693] [694] [695] [696] [697]
[698] [699] [700] [701] [702] [703] [704] [705]
Underfull \hbox (badness 10000) in paragraph at lines 70740--70744
[]\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 70740--70744
\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 70746--70750
[]\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 70746--70750
\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 70770--70774
[]\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 70770--70774
\T1/qtm/m/n/10 ment. To cre-ate or up-date ex-ist-ing `'pre-dic-tion_warning'' 
set-tings, see
[706] [707] [708] [709]
Underfull \hbox (badness 10000) in paragraph at lines 71239--71241
[]\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-
[710] [711] [712]
Chapter 31.
[713] [714] [715] [716]
Chapter 32.
[717]
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[]\T1/qtm/m/n/10 {`key':'DataRobot', `sum-mary':{`min':0, `max':29815.0, `std-D
ev':6498.029,
[718] [719] [720] [721]
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[]\T1/qtm/m/n/10 {`key':'DataRobot', `sum-mary':{`min':0, `max':29815.0, `std-D
ev':6498.029,
[722] [723] [724]
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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
[725] [726]
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[]\T1/qtm/m/n/10 E.g. The prob-a-bil-ity P(A=0,B=1) can be re-trieved via:

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\T1/txtt/m/n/10 pairwise_joint_probabilities.statistic_dataframes[(0,1)].loc[\T
S1/txtt/m/n/10 '\T1/txtt/m/n/10 A\TS1/txtt/m/n/10 '\T1/txtt/m/n/10 ,
[727]
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[]\T1/qtm/m/n/10 E.g. The prob-a-bil-ity P(A=0|B=1) can be re-trieved via:

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\T1/txtt/m/n/10 pairwise_conditional_probabilities.statistic_dataframes[(0,1)].

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\T1/qtm/m/n/10 tion win-dows set-tings. If present, time-aware joins will be us
ed. Only al-

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[]\T1/txtt/bx/n/10 prediction_point_rounding \T1/qtm/m/n/10 (\T1/txtt/m/n/10 Op
tional[int]\T1/qtm/m/n/10 ) ^^U Clos-est value of pre-dic-
[736]
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\T1/qtm/m/n/10 Time unit of the fea-ture deriva-tion win-dow. One of \T1/txtt/m
/n/10 datarobot.enums.
[737] [738]
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\T1/qtm/m/n/10 tion win-dows set-tings. If present, time-aware joins will be us
ed. Only al-

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[]\T1/txtt/bx/n/10 prediction_point_rounding \T1/qtm/m/n/10 (\T1/txtt/m/n/10 in
t\T1/qtm/m/n/10 , or \T1/txtt/m/n/10 None\T1/qtm/m/n/10 ) ^^U Clos-est value of
 pre-dic-

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/n/10 datarobot.enums.
[739]
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[]\T1/txtt/bx/n/10 specifying \T1/qtm/m/n/10 (\T1/txtt/m/sl/10 To see the list 
of possible settings, create a

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

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\T1/qtm/m/n/10 Each el-e-ment is a dic-tio-nary or a \T1/txtt/m/n/10 datarobot.
helpers.feature_discovery.
[740]
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[]\T1/txtt/bx/n/10 dataset_definitions \T1/qtm/m/n/10 (\T1/txtt/m/n/10 List[Dat
asetDefinition]\T1/qtm/m/n/10 ) ^^U Each el-e-ment is a

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\T1/qtm/m/n/10 Each el-e-ment is a dic-tio-nary or a \T1/txtt/m/n/10 datarobot.
helpers.feature_discovery.
[741] [742] [743] [744] [745] [746] [747] [748] [749] [750] [751] [752]
Chapter 33.

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l.77342 \PYG{g+go}{└── finance/}
                                      

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l.77342 \PYG{g+go}{└── finance/}
                                      

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l.77342 \PYG{g+go}{└── finance/}
                                      

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l.77343 \PYG{g+go}{    ├── fy\PYGZhy{}2024/}
                                                  

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l.77343 \PYG{g+go}{    ├── fy\PYGZhy{}2024/}
                                                  

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l.77344 \PYG{g+go}{    │   └── budgets/}
                                                

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l.77344 \PYG{g+go}{    │   └── budgets/}
                                                

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l.77344 \PYG{g+go}{    │   └── budgets/}
                                                

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l.77344 \PYG{g+go}{    │   └── budgets/}
                                                

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l.77345 ...─ Q2\PYGZus{}budget\PYGZus{}2024.pdf}
                                                  

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l.77345 ...─ Q2\PYGZus{}budget\PYGZus{}2024.pdf}
                                                  

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l.77345 ...─ Q2\PYGZus{}budget\PYGZus{}2024.pdf}
                                                  

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l.77345 ...─ Q2\PYGZus{}budget\PYGZus{}2024.pdf}
                                                  

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l.77346 ...   └── employee\PYGZhy{}list.csv}
                                                  

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l.77346 ...   └── employee\PYGZhy{}list.csv}
                                                  

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l.77346 ...   └── 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
[772]
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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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 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
[776] [777]
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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
[778] [779] [780] [781] [782] [783] [784] [785] [786] [787] [788] [789]
[790] [791] [792] [793] [794] [795] [796]
Chapter 34.
[797] [798] [799] [800] [801] [802] [803] [804]
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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 ,
[805] [806]
Chapter 35.
[807] [808] [809] [810] [811] [812] [813] [814] [815] [816] [817] [818]
[819] [820] [821] [822] [823] [824] [825] [826]
Chapter 36.
[827] [828]
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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 )
[829]
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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 )
[830] [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]
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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 ,
[833] [834] [835] [836] [837] [838]
Chapter 37.
[839] [840] [841] [842] [843] [844] [845] [846] [847] [848] [849] [850]
[851] [852] [853]
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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-
[854]
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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 ,
[855] [856] [857] [858]
Chapter 38.
[859]
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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
[860]
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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
[861] [862] [863] [864] [865]
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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.
[869]
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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,
[873] [874]
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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}, ... ]
[875] [876] [877]
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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

Underfull \hbox (badness 10000) in paragraph at lines 91350--91365
\T1/txtt/m/n/10 object at 0x7fbce8305ae0>] >>> Residuals.compute("672e32de69b0b
676ced54d9c

Underfull \hbox (badness 10000) in paragraph at lines 91350--91365
\T1/txtt/m/n/10 ", data_slice_id="677ae1249695103ba9feff97") <datarobot.models.


Underfull \hbox (badness 10000) in paragraph at lines 91350--91365
\T1/txtt/m/n/10 status_check_job.StatusCheckJob object at 0x7fbcf4054b80> >>> R
esiduals.

Underfull \hbox (badness 10000) in paragraph at lines 91350--91365
\T1/txtt/m/n/10 list("672e32de69b0b676ced54d9c") [<datarobot.insights.residuals
.Residuals

Underfull \hbox (badness 10000) in paragraph at lines 91350--91365
\T1/txtt/m/n/10 object at 0x7fbce8305870>, <datarobot.insights.residuals.Residu
als

Underfull \hbox (badness 10000) in paragraph at lines 91350--91365
\T1/txtt/m/n/10 object at 0x7fbce8305690>] >>> Residuals.get("672e32de69b0b676c
ed54d9c

Underfull \hbox (badness 10000) in paragraph at lines 91350--91365
\T1/txtt/m/n/10 ", data_slice_id="677ae1249695103ba9feff97") <datarobot.insight
s.

Underfull \hbox (badness 10000) in paragraph at lines 91350--91365
\T1/txtt/m/n/10 residuals.Residuals object at 0x7fbce83057b0> >>> Residuals.get
(

Underfull \hbox (badness 10000) in paragraph at lines 91350--91365
\T1/txtt/m/n/10 "672e32de69b0b676ced54d9c", data_slice_id="677ae1249695103ba9fe
ff97").

Underfull \hbox (badness 10000) in paragraph at lines 91350--91365
\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.
[878] [879] [880] [881] [882] [883] [884] [885] [886] [887] [888] [889]
[890] [891]
Underfull \hbox (badness 10000) in paragraph at lines 93445--93447
[]\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.
[892] [893] [894] [895]
Underfull \hbox (badness 10000) in paragraph at lines 94125--94127
[]\T1/txtt/m/n/10 [ [ True Negative, False Positive ], [ False Negative, True P
ositive
[896] [897] [898] [899] [900] [901] [902]
Underfull \hbox (badness 10000) in paragraph at lines 94779--94782
[]\T1/txtt/bx/n/10 resolutions \T1/qtm/m/n/10 (\T1/txtt/m/n/10 list \T1/qtm/m/n
/10 of \T1/txtt/m/n/10 string\T1/qtm/m/n/10 ) ^^U A list of \T1/txtt/m/n/10 dat
arobot.enums.

Underfull \hbox (badness 6592) in paragraph at lines 94779--94782
\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
[903]
Underfull \hbox (badness 10000) in paragraph at lines 94813--94815
\T1/qtm/m/n/10 Sta-tus back-test/holdout train-ing. One of \T1/txtt/m/n/10 data
robot.enums.

Underfull \hbox (badness 10000) in paragraph at lines 94820--94822
\T1/qtm/m/n/10 Sta-tus back-test/holdout val-i-da-tion. One of \T1/txtt/m/n/10 
datarobot.enums.
[904] [905]
Underfull \hbox (badness 10000) in paragraph at lines 95110--95113
[]\T1/txtt/bx/n/10 resolutions \T1/qtm/m/n/10 (\T1/txtt/m/n/10 list \T1/qtm/m/n
/10 of \T1/txtt/m/n/10 string\T1/qtm/m/n/10 ) ^^U A list of \T1/txtt/m/n/10 dat
arobot.enums.

Underfull \hbox (badness 6592) in paragraph at lines 95110--95113
\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
[906] [907]
Underfull \hbox (badness 10000) in paragraph at lines 95444--95447
[]\T1/txtt/bx/n/10 resolutions \T1/qtm/m/n/10 (\T1/txtt/m/n/10 list \T1/qtm/m/n
/10 of \T1/txtt/m/n/10 string\T1/qtm/m/n/10 ) ^^U A list of \T1/txtt/m/n/10 dat
arobot.enums.

Underfull \hbox (badness 6592) in paragraph at lines 95444--95447
\T1/txtt/m/n/10 DATETIME_TREND_PLOTS_RESOLUTION\T1/qtm/m/n/10 , which rep-re-se
nts avail-able time res-o-lu-tions

Underfull \hbox (badness 10000) in paragraph at lines 95478--95480
\T1/qtm/m/n/10 Sta-tus back-test/holdout train-ing. One of \T1/txtt/m/n/10 data
robot.enums.

Underfull \hbox (badness 10000) in paragraph at lines 95485--95487
\T1/qtm/m/n/10 Sta-tus back-test/holdout val-i-da-tion. One of \T1/txtt/m/n/10 
datarobot.enums.
[908] [909] [910] [911] [912] [913]
Underfull \hbox (badness 10000) in paragraph at lines 96244--96247
[]\T1/txtt/bx/n/10 metric \T1/qtm/m/n/10 (\T1/txtt/m/n/10 enums.FEATURE_ASSOCIA
TION_METRIC\T1/qtm/m/n/10 ) ^^U The name of a met-

Underfull \hbox (badness 5563) in paragraph at lines 96244--96247
\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 96249--96252
[]\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 96249--96252
\T1/qtm/m/n/10 de-pen-dence for the data. Since `v2.19' this is op-tional and d
e-faults to
[914] [915] [916] [917] [918] [919] [920] [921] [922]
Underfull \hbox (badness 10000) in paragraph at lines 97376--97379
[]\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 97381--97384
[]\T1/qtm/m/n/10 Com-pute pre-dic-tions for the model and dataset via \T1/txtt/
m/n/10 datarobot.Model.
[923]
Underfull \hbox (badness 6708) in paragraph at lines 97454--97460
\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 97454--97460
\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 97470--97473
[]\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 97475--97478
[]\T1/qtm/m/n/10 Com-pute pre-dic-tions for the model and dataset via \T1/txtt/
m/n/10 datarobot.Model.
[924] [925] [926] [927] [928] [929] [930] [931] [932] [933] [934] [935]
[936]
Chapter 41.
[937] [938] [939] [940] [941] [942] [943] [944]
Chapter 42.
[945] [946] [947] [948]
Chapter 43.
[949] [950] [951] [952]
Underfull \hbox (badness 5696) in paragraph at lines 101143--101151
[]\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 101143--101151
[][]\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
[953] [954] [955] [956] [957] [958]
Chapter 44.
[959] [960]
Chapter 45.
[961] [962] [963] [964] [965] [966] [967] [968] [969] [970]
Overfull \vbox (1.64996pt too high) detected at line 103172
[971] [972] [973] [974] [975] [976]
Chapter 46.
[977]
Underfull \hbox (badness 10000) in paragraph at lines 104044--104046
[]\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
[978] [979] [980] [981] [982] [983]
Underfull \hbox (badness 10000) in paragraph at lines 104678--104684
\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 104678--104684
\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 104762--104769
[]\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 104762--104769
\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 104762--104769
\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
[984]
Underfull \hbox (badness 10000) in paragraph at lines 104771--104775
[]\T1/txtt/bx/n/10 include_bias_mitigation_feature_as_predictor_variable
[985] [986]
Underfull \hbox (badness 7888) in paragraph at lines 105001--105008
\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 105001--105008
\T1/txtt/m/n/10 in the repository (this may be extremely slow). If unspecified,


Underfull \hbox (badness 10000) in paragraph at lines 105024--105030
\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 105024--105030
\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.
[987] [988]
Underfull \hbox (badness 10000) in paragraph at lines 105226--105232
\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 105226--105232
\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 105272--105274
[]\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 ,
[989] [990]
Underfull \hbox (badness 10000) in paragraph at lines 105489--105497
[]\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 105489--105497
\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 105489--105497
\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 105489--105497
\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 105489--105497
\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 105489--105497
\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 105489--105497
\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 105489--105497
\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
[991] [992] [993] [994]
Underfull \hbox (badness 10000) in paragraph at lines 105847--105849
[]\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 105886--105889
[]\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
[995]
Underfull \hbox (badness 10000) in paragraph at lines 105941--105943
[]\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
[996]
Underfull \hbox (badness 10000) in paragraph at lines 106006--106012
[]\T1/txtt/bx/n/10 credential_data \T1/qtm/m/n/10 (\T1/txtt/m/n/10 BasicCredent
ialsDataDict | S3CredentialsDataDict |
[997] [998]
Overfull \hbox (0.89392pt too wide) in paragraph at lines 106290--106294
[]\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 ,
[999] [1000] [1001] [1002] [1003] [1004] [1005] [1006] [1007]
Underfull \hbox (badness 10000) in paragraph at lines 107380--107389
[]\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
[1008]
Underfull \hbox (badness 10000) in paragraph at lines 107479--107484
[]\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 107479--107484
[][]\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 107496--107499
\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
[1009] [1010]
Underfull \hbox (badness 10000) in paragraph at lines 107698--107703
\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
[1011]
Underfull \hbox (badness 10000) in paragraph at lines 107876--107881
\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 107876--107881
\T1/qtm/m/n/10 QUEUE_STATUS.INPROGRESS, will re-turn the mod-el-ing jobs that a
re cur-rently
[1012]
Underfull \hbox (badness 10000) in paragraph at lines 107921--107926
\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] [1014] [1015]
Underfull \hbox (badness 10000) in paragraph at lines 108315--108321
[]\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 108315--108321
\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 ,
[1016]
Underfull \hbox (badness 10000) in paragraph at lines 108334--108341
[]\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 108334--108341
\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 108334--108341
\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 108343--108347
[]\T1/txtt/bx/n/10 include_bias_mitigation_feature_as_predictor_variable

Overfull \hbox (3.89389pt too wide) in paragraph at lines 108378--108382
[]\T1/txtt/bx/n/10 number_of_incremental_learning_iterations_before_best_model_
selection
[1017]
Underfull \hbox (badness 10000) in paragraph at lines 108504--108507
[]\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 108504--108507
\T1/txtt/m/n/10 datarobot.helpers.partitioning_methods.PartitioningMethod \T1/q
tm/m/n/10 that will
[1018] [1019] [1020]
Underfull \hbox (badness 10000) in paragraph at lines 108798--108800
[]\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.
[1021] [1022] [1023]
Underfull \hbox (badness 10000) in paragraph at lines 109299--109306
[]\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 109299--109306
\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 109299--109306
\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
[1024] [1025]
Underfull \hbox (badness 10000) in paragraph at lines 109507--109513
[]\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 109518--109523
\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
[1026] [1027]
Underfull \hbox (badness 6364) in paragraph at lines 109722--109725
[]\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
[1028]
Underfull \hbox (badness 10000) in paragraph at lines 109793--109799
[]\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 109793--109799
\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 109812--109819
[]\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 109812--109819
\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 109827--109829
[]\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 109831--109833
[]\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
[1029]
Underfull \hbox (badness 10000) in paragraph at lines 109876--109880
[]\T1/txtt/bx/n/10 number_of_incremental_learning_iterations_before_best_model_
selection
[1030] [1031]
Underfull \hbox (badness 10000) in paragraph at lines 110285--110288
[]\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 110295--110298
[]\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 ,
[1032]
Underfull \hbox (badness 10000) in paragraph at lines 110306--110309
[]\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 110306--110309
\T1/txtt/m/n/10 DATETIME_AUTOPILOT_DATA_SELECTION_METHOD\T1/qtm/m/n/10 . Whethe
r mod-els cre-ated by the
[1033]
Underfull \hbox (badness 6927) in paragraph at lines 110423--110426
[]\T1/txtt/bx/n/10 periodicities \T1/qtm/m/n/10 (\T1/txtt/m/n/10 list \T1/qtm/m
/n/10 of [][]\T1/txtt/m/sl/10 Periodicity[][]\T1/qtm/m/n/10 , \T1/qtm/m/it/10 o
p-tional\T1/qtm/m/n/10 ) ^^U (New in ver-sion v2.9) a
[1034] [1035]
Underfull \hbox (badness 10000) in paragraph at lines 110597--110602
[]\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 ,
[1036]
Underfull \hbox (badness 10000) in paragraph at lines 110739--110741
[]\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
[1037]
Underfull \hbox (badness 10000) in paragraph at lines 110818--110821
[]\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 110818--110821
\T1/txtt/m/n/10 DATETIME_AUTOPILOT_DATA_SELECTION_METHOD\T1/qtm/m/n/10 . Whethe
r mod-els cre-ated by the
[1038] [1039]
Underfull \hbox (badness 6927) in paragraph at lines 110991--110994
[]\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
[1040] [1041] [1042] [1043] [1044]
Underfull \hbox (badness 10000) in paragraph at lines 111638--111641
[]\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 111638--111641
\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.
[1045] [1046]
Underfull \hbox (badness 5741) in paragraph at lines 111857--111865
\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
[1047] [1048] [1049] [1050] [1051] [1052] [1053] [1054]
Underfull \hbox (badness 10000) in paragraph at lines 113106--113108
[]\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
[1055] [1056] [1057] [1058] [1059] [1060] [1061] [1062]
Chapter 47.
[1063]
Underfull \vbox (badness 10000) detected at line 114026
[1064]
Underfull \hbox (badness 10000) in paragraph at lines 114107--114111
[]\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 114107--114111
\T1/qtm/m/n/10 be present if \T1/txtt/m/n/10 explanation_algorithm \T1/qtm/m/n/
10 was set to
[1065] [1066] [1067] [1068]
Chapter 48.
[1069] [1070]
Underfull \hbox (badness 7099) in paragraph at lines 114801--114804
[]\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 ,
[1071]
Underfull \hbox (badness 7099) in paragraph at lines 114843--114846
[]\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 ,
[1072] [1073] [1074] [1075] [1076]
Chapter 49.
[1077] [1078] [1079] [1080] [1081] [1082] [1083] [1084] [1085] [1086]
Chapter 50.
[1087] [1088] [1089] [1090] [1091] [1092] [1093] [1094] [1095] [1096] [1097]
[1098] [1099] [1100] [1101] [1102] [1103] [1104]
Underfull \hbox (badness 10000) in paragraph at lines 118855--118857
[]\T1/txtt/bx/n/10 datasource_info \T1/qtm/m/n/10 (\T1/txtt/m/n/10 Union[Dataso
urceDataWarehouseInfo\T1/qtm/m/n/10 ,
[1105] [1106] [1107] [1108]
Chapter 51.
[1109] [1110]
Chapter 52.
[1111] [1112] [1113] [1114] [1115] [1116]
Chapter 53.

Underfull \hbox (badness 10000) in paragraph at lines 119833--119835
[]\T1/qtm/m/n/10 Added the \T1/txtt/m/n/10 [pipelines] \T1/qtm/m/n/10 in-stall 
ex-tra for \T1/txtt/m/n/10 datarobot[]early[]access\T1/qtm/m/n/10 : \T1/txtt/m/
n/10 pip install

Overfull \hbox (46.20569pt too wide) in paragraph at lines 119879--119881
[]\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[][]
[1117]
Underfull \hbox (badness 10000) in paragraph at lines 119916--119918
[]\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 119920--119922
[]\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 119924--119926
[]\T1/qtm/m/n/10 Fixed [][]\T1/txtt/m/sl/10 CustomScoringMetric.list[][] \T1/qt
m/m/n/10 so \T1/txtt/m/n/10 isArchived \T1/qtm/m/n/10 is omit-ted when list-ing
 non-archived met-rics

Underfull \hbox (badness 10000) in paragraph at lines 119955--119957
[]\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 119955--119957
\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
[1118]
Underfull \hbox (badness 10000) in paragraph at lines 120057--120059
\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.
[1119] [1120]
Underfull \hbox (badness 10000) in paragraph at lines 120176--120179
[]\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 120176--120179
\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 120223--120225
[]\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 120227--120229
[]\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 120227--120229
\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
[1121] [1122] [1123]
Underfull \hbox (badness 10000) in paragraph at lines 120476--120479
[]\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

Underfull \hbox (badness 10000) in paragraph at lines 120553--120556
[]\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 120553--120556
\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.
[1124]
Underfull \hbox (badness 10000) in paragraph at lines 120672--120674
[]\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 ,
[1125]
Underfull \hbox (badness 7081) in paragraph at lines 120688--120690
[]\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.

Underfull \hbox (badness 10000) in paragraph at lines 120776--120778
[]\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 120780--120782
[]\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
[1126]
Underfull \hbox (badness 8038) in paragraph at lines 120872--120874
[]\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
[1127]
Underfull \hbox (badness 10000) in paragraph at lines 120908--120910
[]\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
[1128]
Underfull \hbox (badness 10000) in paragraph at lines 121007--121009
[]\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 121007--121009
\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 121007--121009
\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 121007--121009
\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
[1129]
Overfull \hbox (1.74904pt too wide) in paragraph at lines 121154--121156
[]\T1/qtm/m/n/10 Added op-tional pa-ram-e-ter \T1/txtt/m/n/10 chunk_definition_
id \T1/qtm/m/n/10 in [][]\T1/txtt/m/sl/10 Model.start_incremental_learning_from
_sample[][]

Underfull \hbox (badness 10000) in paragraph at lines 121203--121205
[]\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
[1130]
Underfull \hbox (badness 10000) in paragraph at lines 121240--121242
[]\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
[1131]
Underfull \hbox (badness 10000) in paragraph at lines 121415--121417
[]\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
[1132]
Underfull \hbox (badness 10000) in paragraph at lines 121463--121465
[]\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 121475--121478
[]\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 121475--121478
[][]\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 121480--121482
[]\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
[1133]
Underfull \hbox (badness 10000) in paragraph at lines 121550--121552
[]\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 121563--121565
[]\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
[1134] [1135] [1136]
Underfull \hbox (badness 10000) in paragraph at lines 121975--121978
[]\T1/qtm/m/n/10 Add new at-tributes to [][]\T1/txtt/m/sl/10 VectorDatabase[][]
\T1/qtm/m/n/10 : \T1/txtt/m/n/10 parent_id\T1/qtm/m/n/10 , \T1/txtt/m/n/10 fami
ly_id\T1/qtm/m/n/10 , \T1/txtt/m/n/10 metadata_columns\T1/qtm/m/n/10 ,

Underfull \hbox (badness 10000) in paragraph at lines 122041--122043
[]\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
[1137]
Underfull \hbox (badness 10000) in paragraph at lines 122119--122121
[]\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 122128--122135
[]\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
[1138]
Underfull \hbox (badness 10000) in paragraph at lines 122155--122157
[]\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 122175--122177
[]\T1/qtm/m/n/10 Re-named \T1/txtt/m/n/10 datarobot.enums.CustomTaskOutgoingNet
workPolicy \T1/qtm/m/n/10 to [][]\T1/txtt/m/sl/10 datarobot.enums.

Overfull \hbox (27.38004pt too wide) in paragraph at lines 122237--122239
[]\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'
[1139]
Underfull \hbox (badness 10000) in paragraph at lines 122300--122303
[]\T1/txtt/m/n/10 datarobot._experimental.models.time_series_wrangling_template
.user_flow_template
[1140]
Underfull \hbox (badness 10000) in paragraph at lines 122471--122474
[]\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
[1141]
Underfull \hbox (badness 10000) in paragraph at lines 122601--122603
[]\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
[1142]
Underfull \hbox (badness 10000) in paragraph at lines 122740--122744
[]\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:
[1143]
Underfull \hbox (badness 10000) in paragraph at lines 122820--122822
[][][]\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
[1144]
Underfull \hbox (badness 10000) in paragraph at lines 122895--122898
[]\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 122895--122898
\T1/txtt/m/sl/10 score_with_leaderboard_model[][] \T1/qtm/m/n/10 and [][]\T1/tx
tt/m/sl/10 BatchPredictionJob.score[][] \T1/qtm/m/n/10 that au-to-mat-i-cally a
s-signs the

Underfull \hbox (badness 10000) in paragraph at lines 122967--122969
[]\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.
[1145] [1146]
Underfull \hbox (badness 10000) in paragraph at lines 123127--123129
[]\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.
[1147] [1148] [1149]
Underfull \hbox (badness 10000) in paragraph at lines 123482--123484
[]\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.
[1150] [1151]
Underfull \hbox (badness 10000) in paragraph at lines 123709--123711
\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
[1152] [1153] [1154]
Underfull \hbox (badness 10000) in paragraph at lines 124166--124168
[]\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 124170--124172
[]\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 124174--124176
[]\T1/qtm/m/n/10 If the user con-fig-ures the client via env vars, then set the
 env var
[1155]
Underfull \hbox (badness 10000) in paragraph at lines 124349--124351
[]\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 124373--124375
\T1/txtt/m/sl/10 PredictionExplanations.get_all_as_dataframe()[][] \T1/qtm/m/n/
10 and [][]\T1/txtt/m/sl/10 datarobot.PredictionExplanations.
[1156] [1157]
Underfull \hbox (badness 10000) in paragraph at lines 124502--124505
[]\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 124512--124515
[]\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 124527--124530
[]\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 124532--124535
[]\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.
[1158]
Underfull \hbox (badness 10000) in paragraph at lines 124694--124698
[]\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 124694--124698
[][]\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 124700--124705
[]\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 124700--124705
[][]\T1/txtt/m/sl/10 DataEngineQueryGenerator.prepare_prediction_dataset_from_c
atalog[][] \T1/qtm/m/n/10 that ap-ply time se-ries
[1159]
Underfull \hbox (badness 10000) in paragraph at lines 124810--124812
[]\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
[1160] [1161] [1162]
Underfull \hbox (badness 10000) in paragraph at lines 125095--125098
[]\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 125100--125102
[]\T1/qtm/m/n/10 Added in-for-ma-tion about ver-tex to ad-vanced tun-ing pa-ram
-e-ters [][]\T1/txtt/m/sl/10 datarobot.models.Model.

Underfull \hbox (badness 10000) in paragraph at lines 125183--125185
[][][]\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 125187--125189
[][][]\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
[1163]
Underfull \hbox (badness 6364) in paragraph at lines 125219--125221
[]\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.
[1164]
Underfull \hbox (badness 10000) in paragraph at lines 125342--125349
[]\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 125342--125349
[][]\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
[1165]
Underfull \hbox (badness 10000) in paragraph at lines 125542--125544
[]\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 125560--125563
[]\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
[1166] [1167]
Underfull \hbox (badness 10000) in paragraph at lines 125812--125815
[]\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 ,
[1168]
Underfull \hbox (badness 6268) in paragraph at lines 125913--125916
[]\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 125948--125952
[]\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
[1169]
Underfull \hbox (badness 10000) in paragraph at lines 125958--125966
[]\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 125958--125966
\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 125958--125966
\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 125958--125966
\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 125958--125966
\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 125958--125966
[][]\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.
[1170]
Underfull \hbox (badness 10000) in paragraph at lines 126108--126111
[]\T1/qtm/m/n/10 Fix [][]\T1/txtt/m/sl/10 datarobot.CustomTaskVersion[][] \T1/q
tm/m/n/10 and [][]\T1/txtt/m/sl/10 datarobot.CustomModelVersion[][] \T1/qtm/m/n
/10 to cor-rectly for-mat

Underfull \hbox (badness 10000) in paragraph at lines 126184--126187
[]\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.
[1171] [1172]
Underfull \hbox (badness 10000) in paragraph at lines 126429--126432
[]\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 126434--126437
[]\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.
[1173]
Underfull \hbox (badness 7907) in paragraph at lines 126605--126610
[]\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:
[1174]
Underfull \hbox (badness 10000) in paragraph at lines 126647--126650
[]\T1/qtm/m/n/10 Added method to down-load fea-ture dis-cov-ery recipe SQLs (li
m-ited beta fea-ture). [][]\T1/txtt/m/sl/10 Project.

Underfull \hbox (badness 10000) in paragraph at lines 126723--126728
[]\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 126723--126728
\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.
[1175]
Underfull \hbox (badness 10000) in paragraph at lines 126748--126756
[][]\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 126748--126756
\T1/txtt/m/sl/10 get_pairwise_correlations[][]\T1/qtm/m/n/10 , [][]\T1/txtt/m/s
l/10 Feature.get_pairwise_joint_probabilities[][] \T1/qtm/m/n/10 and [][]\T1/tx
tt/m/sl/10 Feature.

Underfull \hbox (badness 10000) in paragraph at lines 126824--126827
[]\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 126829--126835
[]\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 126829--126835
\T1/txtt/m/sl/10 FeatureAssociationMatrixDetails[][] \T1/qtm/m/n/10 and [][]\T1
/txtt/m/sl/10 datarobot.models.FeatureAssociationFeaturelists[][]
[1176]
Underfull \hbox (badness 10000) in paragraph at lines 126859--126866
[]\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 126859--126866
\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 ,
[1177]
Underfull \hbox (badness 8170) in paragraph at lines 126995--126998
[]\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 127000--127003
\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
[1178]
Underfull \hbox (badness 10000) in paragraph at lines 127083--127088
[]\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 127108--127110
[]\T1/qtm/m/n/10 Class \T1/txtt/m/n/10 FeatureEngineeringGraph \T1/qtm/m/n/10 h
as been re-moved. Use [][]\T1/txtt/m/sl/10 datarobot.models.

Underfull \hbox (badness 10000) in paragraph at lines 127187--127191
[]\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
[1179]
Underfull \hbox (badness 10000) in paragraph at lines 127230--127233
[]\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:
[1180]
Underfull \hbox (badness 10000) in paragraph at lines 127373--127382
[]\T1/qtm/m/n/10 Added new ar-gu-ments \T1/txtt/m/n/10 explanation_algorithm \T
1/qtm/m/n/10 and \T1/txtt/m/n/10 max_explanations \T1/qtm/m/n/10 to method [][]
\T1/txtt/m/sl/10 Model.

Underfull \hbox (badness 10000) in paragraph at lines 127384--127391
[]\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.
[1181] [1182]
Underfull \hbox (badness 10000) in paragraph at lines 127575--127579
[]\T1/qtm/m/n/10 Batch Pre-dic-tion jobs now sup-port scor-ing to Azure and Goo
gle Cloud Stor-age with meth-ods

Underfull \hbox (badness 8132) in paragraph at lines 127613--127618
[]\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 127633--127637
[]\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 127633--127637
[][]\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 127657--127659
[]\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 .
[1183] [1184]
Underfull \hbox (badness 10000) in paragraph at lines 127901--127905
[]\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.
[1185]
Underfull \hbox (badness 10000) in paragraph at lines 127974--127976
[]\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 127974--127976
[][]\T1/txtt/m/sl/10 Deployment.get_prediction_intervals_settings[][] \T1/qtm/m
/n/10 and [][]\T1/txtt/m/sl/10 Deployment.

Overfull \hbox (7.70421pt too wide) in paragraph at lines 128007--128009
[]\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 128027--128030
[]\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.
[1186]
Underfull \hbox (badness 7925) in paragraph at lines 128064--128066
[]\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 128072--128077
[]\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
[1187]
Underfull \hbox (badness 10000) in paragraph at lines 128163--128165
[]\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 128163--128165
\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
[1188]
Underfull \hbox (badness 7451) in paragraph at lines 128252--128255
[]\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 128252--128255
\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
[1189] [1190]
Underfull \hbox (badness 10000) in paragraph at lines 128459--128468
[]\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 128459--128468
[][]\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 128498--128500
[][][]\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
[1191]
Underfull \hbox (badness 10000) in paragraph at lines 128620--128623
[]\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

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[]\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

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\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.
[1192]
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[]\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.

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[]\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.

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\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
[1193]
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[]\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.

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[]\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.

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[][][]\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.
[1194]
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[]\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.

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\T1/txtt/m/sl/10 DatetimePartitioning.feature_log_list()[][] \T1/qtm/m/n/10 and
 [][]\T1/txtt/m/sl/10 datarobot.DatetimePartitioning.

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[]\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.
[1195]
Underfull \hbox (badness 5302) in paragraph at lines 129001--129005
\T1/qtm/m/n/10 re-cated and will be re-moved in 2.14. Use [][]\T1/txtt/m/sl/10 
datarobot.DatetimePartitioningSpecification.
[1196] [1197]
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[]\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.
[1198] [1199]
Underfull \hbox (badness 10000) in paragraph at lines 129468--129470
[]\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,
[1200]
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[]\T1/qtm/m/n/10 (Only rel-e-vant for on-premise users with a Stan-dalone Scor-
ing clus-ter.) Meth-ods
[1201]
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[]\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.
[1202] [1203]
Underfull \hbox (badness 10000) in paragraph at lines 129823--129825
[]\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.
[1204] [1205] [1206]
Underfull \hbox (badness 6016) in paragraph at lines 130166--130170
[]\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

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[]\T1/qtm/m/n/10 If a \T1/txtt/m/n/10 ClientError \T1/qtm/m/n/10 or \T1/txtt/m/
n/10 ServerError \T1/qtm/m/n/10 oc-curs dur-ing a call to \T1/txtt/m/n/10 Proje
ct.from_async\T1/qtm/m/n/10 , then a

Underfull \hbox (badness 10000) in paragraph at lines 130257--130260
[]\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
[1207] [1208] [1209] [1210] (./datarobot-public-api-client.ind [1211] [1212]
[1213]
Underfull \hbox (badness 10000) in paragraph at lines 88--90
[]\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 140--142
[]\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 142--144
[]\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 ),
[1214] [1215]
Underfull \hbox (badness 10000) in paragraph at lines 320--322
[]\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 ),

[1216]
Underfull \hbox (badness 10000) in paragraph at lines 328--330
[]\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
[1217]
Underfull \hbox (badness 10000) in paragraph at lines 414--416
[]\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 416--418
[]\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

Underfull \hbox (badness 10000) in paragraph at lines 438--440
[]\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 475--477
[]\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 ),
[1218] [1219] [1220] [1221] [1222]
Underfull \hbox (badness 10000) in paragraph at lines 874--876
[]\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 882--884
[]\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
[1223] [1224]
Overfull \hbox (6.44446pt too wide) in paragraph at lines 1070--1072
[]\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 ),
[1225]
Underfull \hbox (badness 10000) in paragraph at lines 1173--1175
[]\T1/txtt/m/n/10 find_anomalous_regions() \T1/qtm/m/n/10 (\T1/qtm/m/it/10 data
robot.models.anomaly_assessment.AnomalyAssessmentPredictionsPreview
[1226]
Underfull \hbox (badness 10000) in paragraph at lines 1227--1229
[]\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
[1227]
Underfull \hbox (badness 10000) in paragraph at lines 1318--1320
[]\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
[1228] [1229]
Underfull \hbox (badness 10000) in paragraph at lines 1494--1496
[]\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
[1230] [1231] [1232]
Underfull \hbox (badness 10000) in paragraph at lines 1736--1738
[]\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 1738--1740
[]\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

Underfull \hbox (badness 10000) in paragraph at lines 1770--1772
[]\T1/txtt/m/n/10 get_closest_data_for_featurelist() \T1/qtm/m/n/10 (\T1/qtm/m/
it/10 datarobot._experimental.models.data_matching.DataMatching
[1233]
Underfull \hbox (badness 10000) in paragraph at lines 1819--1821
[]\T1/txtt/m/n/10 get_datasource_definition() \T1/qtm/m/n/10 (\T1/qtm/m/it/10 d
atarobot._experimental.models.chunking_service.DatasetChunkDefinition

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[]\T1/txtt/m/n/10 get_document_page_with_text_locations() \T1/qtm/m/n/10 (\T1/q
tm/m/it/10 datarobot.models.documentai.document.DocumentTextExtractionSamplePag
e

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[]\T1/txtt/m/n/10 get_explanations_data_in_regions() \T1/qtm/m/n/10 (\T1/qtm/m/
it/10 datarobot.models.anomaly_assessment.AnomalyAssessmentRecord
[1234] [1235] [1236] [1237] [1238]
Underfull \hbox (badness 10000) in paragraph at lines 2326--2328
[]\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
[1239] [1240]
Underfull \hbox (badness 10000) in paragraph at lines 2478--2480
[]\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-
[1241] [1242]
Underfull \hbox (badness 10000) in paragraph at lines 2674--2676
[]\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
[1243]
Underfull \hbox (badness 10000) in paragraph at lines 2728--2730
[]\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 ),

Underfull \hbox (badness 10000) in paragraph at lines 2762--2764
[]\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

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[]\T1/txtt/m/n/10 list_available_document_types() \T1/qtm/m/n/10 (\T1/qtm/m/it/
10 datarobot.models.automated_documentation.AutomatedDocument class
[1244] [1245]
Overfull \hbox (33.2344pt too wide) in paragraph at lines 2936--2938
[]\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
[1246]
Underfull \hbox (badness 10000) in paragraph at lines 3038--3040
[]\T1/txtt/m/n/10 patch_validation_dates() \T1/qtm/m/n/10 (\T1/qtm/m/it/10 data
robot._experimental.models.chunking_service.DatasetChunkDefinition class
[1247] [1248] [1249] [1250] [1251] [1252] [1253] [1254] [1255] [1256]
Underfull \hbox (badness 10000) in paragraph at lines 3906--3908
[]\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
[1257] [1258]
Underfull \hbox (badness 7722) in paragraph at lines 4056--4058
[]\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
) [1259] (./datarobot-public-api-client.aux) )
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Output written on datarobot-public-api-client.pdf (1267 pages, 5197851 bytes).
Transcript written on datarobot-public-api-client.log.
Latexmk: Index file 'datarobot-public-api-client.idx' was written
Latexmk: Log file says output to 'datarobot-public-api-client.pdf'
Latexmk: Examining 'datarobot-public-api-client.log'
=== TeX engine is 'pdfTeX'
Latexmk: Errors, in force_mode: so I tried finishing targets
Collected error summary (may duplicate other messages):
  pdflatex: Command for 'pdflatex' gave return code 1
      Refer to 'datarobot-public-api-client.log' for details