Read the Docs build information
Build id: 2590278
Project: datarobot-public-api-client
Version: early-access
Commit: 1e4571c0803d531c073474d80542dcab8e30cc1a
Date: 2024-11-04T17:31:51.755115Z
State: finished
Success: True


[rtd-command-info] start-time: 2024-11-04T17:31:53.065740Z, end-time: 2024-11-04T17:31:56.163462Z, 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: 2024-11-04T17:31:56.248675Z, end-time: 2024-11-04T17:31:57.671157Z, duration: 1, 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.

[rtd-command-info] start-time: 2024-11-04T17:31:57.819933Z, end-time: 2024-11-04T17:31:58.422280Z, duration: 0, exit-code: 0
git checkout --force 1e4571c0803d531c073474d80542dcab8e30cc1a
Note: switching to '1e4571c0803d531c073474d80542dcab8e30cc1a'.

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 1e4571c [CFX-419] Split api_reference.rst (#3347)

[rtd-command-info] start-time: 2024-11-04T17:31:58.493341Z, end-time: 2024-11-04T17:31:58.549511Z, 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: 2024-11-04T17:32:05.863085Z, end-time: 2024-11-04T17:32:05.944429Z, duration: 0, exit-code: 0
asdf global python 3.11.9


[rtd-command-info] start-time: 2024-11-04T17:32:06.367269Z, end-time: 2024-11-04T17:32:07.459868Z, duration: 1, exit-code: 0
python -mvirtualenv $READTHEDOCS_VIRTUALENV_PATH
created virtual environment CPython3.11.9.final.0-64 in 756ms
  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: 2024-11-04T17:32:07.570385Z, end-time: 2024-11-04T17:32:19.913439Z, duration: 12, 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
    Found existing installation: setuptools 67.6.1
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      Successfully uninstalled setuptools-67.6.1
  Attempting uninstall: pip
    Found existing installation: pip 23.1
    Uninstalling pip-23.1:
      Successfully uninstalled pip-23.1
Successfully installed pip-24.3.1 setuptools-75.3.0

[rtd-command-info] start-time: 2024-11-04T17:32:19.987146Z, end-time: 2024-11-04T17:32:28.796296Z, duration: 8, exit-code: 0
python -m pip install --upgrade --no-cache-dir sphinx
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Installing collected packages: snowballstemmer, urllib3, sphinxcontrib-serializinghtml, sphinxcontrib-qthelp, sphinxcontrib-jsmath, sphinxcontrib-htmlhelp, sphinxcontrib-devhelp, sphinxcontrib-applehelp, Pygments, packaging, MarkupSafe, imagesize, idna, docutils, charset-normalizer, certifi, babel, alabaster, requests, Jinja2, sphinx
Successfully installed Jinja2-3.1.4 MarkupSafe-3.0.2 Pygments-2.18.0 alabaster-1.0.0 babel-2.16.0 certifi-2024.8.30 charset-normalizer-3.4.0 docutils-0.21.2 idna-3.10 imagesize-1.4.1 packaging-24.1 requests-2.32.3 snowballstemmer-2.2.0 sphinx-8.1.3 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 urllib3-2.2.3

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python -m pip install --upgrade --upgrade-strategy only-if-needed --no-cache-dir .[dev]
Processing /home/docs/checkouts/readthedocs.org/user_builds/datarobot-public-api-client/checkouts/early-access
  Installing build dependencies: started
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Building wheels for collected packages: datarobot, jupyter-contrib-nbextensions, jupyter_contrib_core
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Successfully built datarobot jupyter-contrib-nbextensions jupyter_contrib_core
Installing collected packages: webencodings, wcwidth, types-urllib3, types-PyYAML, types-pytz, types-python-dateutil, trafaret, strenum, pytz, py4j, pure-eval, ptyprocess, jupyter_highlight_selected_word, ipython_genutils, fastjsonschema, wrapt, websocket-client, webcolors, uri-template, tzdata, typing-extensions, types-requests, traitlets, tornado, tomlkit, tokenize-rt, tinycss2, tabulate, soupsieve, sniffio, six, send2trash, rpds-py, rfc3986-validator, pyzmq, pyyaml, python-json-logger, pyflakes, pyenchant, pycparser, pycodestyle, pyasn1, pyarrow, psutil, protobuf, prompt-toolkit, prometheus-client, pluggy, platformdirs, Pillow, pexpect, pathspec, parso, pandocfilters, overrides, numpy, nest-asyncio, mypy-extensions, mistune, mccabe, lxml, lazy-object-proxy, jupyterlab-pygments, jsonpointer, json5, isort, iniconfig, h11, grpcio, fqdn, executing, docutils, dill, defusedxml, decorator, debugpy, coverage, click, cachetools, bleach, attrs, async-lru, alabaster, terminado, Sphinx, rsa, rfc3339-validator, responses, requests-toolbelt, referencing, python-dateutil, pytest, pyasn1-modules, mypy, matplotlib-inline, jupyter_core, jedi, httpcore, googleapis-common-protos, flake8, comm, cffi, black, beautifulsoup4, asttokens, astroid, anyio, stack-data, sphinxcontrib-spelling, sphinxcontrib-jquery, sphinx-markdown-builder, sphinx-copybutton, sphinx-autodoc-typehints, pytest-cov, pytest-asyncio, pylint, pandas, numpydoc, jupyter-server-terminals, jupyter-client, jsonschema-specifications, httpx, grpcio-status, google-auth, arrow, argon2-cffi-bindings, sphinx-rtd-theme, jsonschema, isoduration, ipython, datarobot, databricks-sdk, argon2-cffi, nbformat, ipykernel, databricks-connect, nbclient, jupyter-events, nbconvert, nbsphinx, jupyter-server, notebook-shim, jupyterlab-server, jupyter-lsp, jupyterlab, notebook, jupyter_contrib_core, jupyter_nbextensions_configurator, jupyter-contrib-nbextensions
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    Uninstalling docutils-0.21.2:
      Successfully uninstalled docutils-0.21.2
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    Uninstalling alabaster-1.0.0:
      Successfully uninstalled alabaster-1.0.0
  Attempting uninstall: Sphinx
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    Uninstalling Sphinx-8.1.3:
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Successfully installed Pillow-10.3.0 Sphinx-7.4.7 alabaster-0.7.16 anyio-4.6.2.post1 argon2-cffi-23.1.0 argon2-cffi-bindings-21.2.0 arrow-1.3.0 astroid-2.13.5 asttokens-2.4.1 async-lru-2.0.4 attrs-24.2.0 beautifulsoup4-4.12.3 black-24.4.2 bleach-6.2.0 cachetools-5.5.0 cffi-1.17.1 click-8.1.7 comm-0.2.2 coverage-7.6.4 databricks-connect-15.4.3 databricks-sdk-0.36.0 datarobot-3.6.0b0 debugpy-1.8.7 decorator-5.1.1 defusedxml-0.7.1 dill-0.3.9 docutils-0.20.1 executing-2.1.0 fastjsonschema-2.20.0 flake8-5.0.4 fqdn-1.5.1 google-auth-2.35.0 googleapis-common-protos-1.65.0 grpcio-1.67.1 grpcio-status-1.67.1 h11-0.14.0 httpcore-1.0.6 httpx-0.27.2 iniconfig-2.0.0 ipykernel-6.29.5 ipython-8.29.0 ipython_genutils-0.2.0 isoduration-20.11.0 isort-5.10.1 jedi-0.19.1 json5-0.9.25 jsonpointer-3.0.0 jsonschema-4.23.0 jsonschema-specifications-2024.10.1 jupyter-client-8.6.3 jupyter-contrib-nbextensions-0.7.0 jupyter-events-0.10.0 jupyter-lsp-2.2.5 jupyter-server-2.14.2 jupyter-server-terminals-0.5.3 jupyter_contrib_core-0.4.2 jupyter_core-5.7.2 jupyter_highlight_selected_word-0.2.0 jupyter_nbextensions_configurator-0.6.4 jupyterlab-4.2.5 jupyterlab-pygments-0.3.0 jupyterlab-server-2.27.3 lazy-object-proxy-1.10.0 lxml-5.3.0 matplotlib-inline-0.1.7 mccabe-0.7.0 mistune-3.0.2 mypy-1.0.0 mypy-extensions-1.0.0 nbclient-0.10.0 nbconvert-7.16.4 nbformat-5.10.4 nbsphinx-0.9.5 nest-asyncio-1.6.0 notebook-7.2.2 notebook-shim-0.2.4 numpy-1.26.4 numpydoc-1.7.0 overrides-7.7.0 pandas-2.2.3 pandocfilters-1.5.1 parso-0.8.4 pathspec-0.12.1 pexpect-4.9.0 platformdirs-4.3.6 pluggy-1.5.0 prometheus-client-0.21.0 prompt-toolkit-3.0.48 protobuf-5.28.3 psutil-6.1.0 ptyprocess-0.7.0 pure-eval-0.2.3 py4j-0.10.9.7 pyarrow-18.0.0 pyasn1-0.6.1 pyasn1-modules-0.4.1 pycodestyle-2.9.1 pycparser-2.22 pyenchant-3.2.2 pyflakes-2.5.0 pylint-2.15.0 pytest-7.3.0 pytest-asyncio-0.21.1 pytest-cov-6.0.0 python-dateutil-2.9.0.post0 python-json-logger-2.0.7 pytz-2024.2 pyyaml-6.0.2 pyzmq-26.2.0 referencing-0.35.1 requests-toolbelt-1.0.0 responses-0.21.0 rfc3339-validator-0.1.4 rfc3986-validator-0.1.1 rpds-py-0.20.1 rsa-4.9 send2trash-1.8.3 six-1.16.0 sniffio-1.3.1 soupsieve-2.6 sphinx-autodoc-typehints-2.3.0 sphinx-copybutton-0.5.2 sphinx-markdown-builder-0.6.7 sphinx-rtd-theme-2.0.0 sphinxcontrib-jquery-4.1 sphinxcontrib-spelling-8.0.0 stack-data-0.6.3 strenum-0.4.15 tabulate-0.9.0 terminado-0.18.1 tinycss2-1.4.0 tokenize-rt-6.1.0 tomlkit-0.13.2 tornado-6.4.1 trafaret-2.1.1 traitlets-5.14.3 types-PyYAML-6.0.12 types-python-dateutil-2.8.19 types-pytz-2022.2.1.0 types-requests-2.28.11 types-urllib3-1.26.25 typing-extensions-4.12.2 tzdata-2024.2 uri-template-1.3.0 wcwidth-0.2.13 webcolors-24.8.0 webencodings-0.5.1 websocket-client-1.8.0 wrapt-1.16.0

[rtd-command-info] start-time: 2024-11-04T17:33:16.111306Z, end-time: 2024-11-04T17:33:16.173349Z, duration: 0, exit-code: 0
cat sdk_docs/conf.py
#
# Copyright 2021 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.
import os
import shutil
import sys

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" in version:
    # mainline quarterly releases never have the beta "b" in the version, only internal & weekly do
    tags.add("include_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.rst")
dest_path = os.path.join(root_dir, "sdk_docs", "CHANGES.rst")
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 = '7.1.2'

# 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.autosummary",
    "sphinx.ext.doctest",
    "numpydoc",
    "nbsphinx",
    "sphinx_autodoc_typehints",
    "sphinx_copybutton",
    "sphinx_markdown_builder",
]

# make warnings go away- as advised by
# https://github.com/phn/pytpm/issues/3#issuecomment-12133978
numpydoc_show_class_members = False

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"

# Showing automatically documented members in same order as they are in source
autodoc_member_order = "bysource"

# 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 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:data", "typing.Tuple"),
    ("py:data", "typing.Optional"),
    ("py:data", "typing.Union"),
    ("py:data", "typing.NoReturn"),
    ("py:data", "typing.Any"),
    ("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",
]


def setup(app):
    app.add_css_file("css/tight_table.css")

[rtd-command-info] start-time: 2024-11-04T17:33:16.288734Z, end-time: 2024-11-04T17:34:19.105464Z, duration: 62, exit-code: 0
python -m sphinx -T -b html -d _build/doctrees -D language=en . $READTHEDOCS_OUTPUT/html
Running Sphinx v7.4.7
loading translations [en]... done
Initializing Spelling Checker 8.0.0
making output directory... done
Converting `source_suffix = '.rst'` to `source_suffix = {'.rst': 'restructuredtext'}`.
[autosummary] generating autosummary for: CHANGES.rst, autodoc/advanced_options.rst, autodoc/advanced_tuning.rst, autodoc/anomaly_assessment.rst, autodoc/api_object.rst, autodoc/api_reference.rst, autodoc/application.rst, autodoc/automated_documentation.rst, autodoc/batch_job.rst, autodoc/batch_monitoring.rst, ..., reference/modeling/spec/segmented_modeling.rst, reference/modeling/spec/time_series.rst, reference/modeling/spec/unsupervised_anomaly.rst, reference/modeling/spec/unsupervised_clustering.rst, reference/modeling/spec/visualai.rst, reference/predictions/batch_predictions.rst, reference/predictions/index.rst, reference/predictions/predict_job.rst, reference/use_cases/index.rst, reference/use_cases/use_cases.rst
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writing output... 
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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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writing additional pages... search done
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dumping search index in English (code: en)... done
dumping object inventory... done
build succeeded.

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

[rtd-command-info] start-time: 2024-11-04T17:34:19.222846Z, end-time: 2024-11-04T17:34:36.365679Z, duration: 17, exit-code: 0
python -m sphinx -T -b latex -d _build/doctrees -D language=en . $READTHEDOCS_OUTPUT/pdf
Running Sphinx v7.4.7
loading translations [en]... done
Initializing Spelling Checker 8.0.0
making output directory... done
Converting `source_suffix = '.rst'` to `source_suffix = {'.rst': 'restructuredtext'}`.
loading pickled environment... done
[autosummary] generating autosummary for: CHANGES.rst, autodoc/advanced_options.rst, autodoc/advanced_tuning.rst, autodoc/anomaly_assessment.rst, autodoc/api_object.rst, autodoc/api_reference.rst, autodoc/application.rst, autodoc/automated_documentation.rst, autodoc/batch_job.rst, autodoc/batch_monitoring.rst, ..., reference/modeling/spec/segmented_modeling.rst, reference/modeling/spec/time_series.rst, reference/modeling/spec/unsupervised_anomaly.rst, reference/modeling/spec/unsupervised_clustering.rst, reference/modeling/spec/visualai.rst, reference/predictions/batch_predictions.rst, reference/predictions/index.rst, reference/predictions/predict_job.rst, reference/use_cases/index.rst, reference/use_cases/use_cases.rst
building [mo]: targets for 0 po files that are out of date
writing output... 
building [latex]: all documents
updating environment: 0 added, 1 changed, 0 removed
reading sources... [100%] CHANGES

looking for now-outdated files... none found
pickling environment... done
checking consistency... done
copying TeX support files... copying TeX support files...
done
processing DataRobotPython_3.6.0b0_Docs.tex... index reference/index reference/data/index reference/data/dataset reference/data/database_connectivity reference/data/feature_discovery reference/modeling/index reference/modeling/project reference/modeling/model reference/modeling/blueprint reference/modeling/spec/index reference/modeling/spec/datetime_partition reference/modeling/spec/time_series reference/modeling/spec/visualai reference/modeling/spec/unsupervised_anomaly reference/modeling/spec/unsupervised_clustering reference/modeling/spec/segmented_modeling reference/modeling/spec/custom_task reference/modeling/spec/monotonic_constraints reference/modeling/spec/binary_data reference/modeling/insights/index reference/modeling/insights/prediction_explanations reference/modeling/insights/rating_table reference/modeling/insights/automated_documentation reference/modeling/insights/external_testset reference/modeling/insights/shap_insights reference/modeling/job reference/modeling/prime reference/modeling/model_recommendation reference/predictions/index reference/predictions/predict_job reference/predictions/batch_predictions reference/mlops/index reference/mlops/deployment reference/mlops/data_exports reference/mlops/custom_metrics reference/mlops/hosted_custom_metrics reference/mlops/custom_model reference/mlops/jobs reference/mlops/model_registry reference/mlops/key_values reference/admin/index reference/admin/credentials reference/admin/sharing reference/use_cases/index reference/use_cases/use_cases autodoc/api_reference autodoc/advanced_options autodoc/advanced_tuning autodoc/anomaly_assessment autodoc/api_object autodoc/application autodoc/automated_documentation autodoc/batch_job autodoc/batch_monitoring autodoc/batch_predictions autodoc/binary_data_helpers autodoc/blueprint autodoc/calendar autodoc/challenger autodoc/champion_model_package autodoc/class_mapping_aggregation_settings autodoc/client_configuration autodoc/clustering autodoc/compliance_documentation_templates autodoc/confusion_chart autodoc/credentials autodoc/custom_metrics autodoc/custom_models autodoc/custom_tasks autodoc/data_engine_query_generator autodoc/data_exports autodoc/data_slices autodoc/data_store autodoc/database_connectivity autodoc/dataset_definition autodoc/datasets autodoc/datetime_trend_plots autodoc/deployment autodoc/document_ai autodoc/external_baseline_validation autodoc/external_scores_insights autodoc/feature autodoc/feature_association autodoc/feature_effects autodoc/feature_lineage autodoc/featurelist autodoc/genai autodoc/insights autodoc/jobs autodoc/key_values autodoc/lift_chart autodoc/missing_values_report autodoc/mlops_event autodoc/model_job autodoc/model_recommendations autodoc/models autodoc/pareto_front autodoc/partitioning autodoc/payoff_matrix autodoc/predict_job autodoc/prediction_dataset autodoc/prediction_environment autodoc/prediction_explanations autodoc/predictions autodoc/prime_file autodoc/project autodoc/rating_table autodoc/recipes autodoc/registered_model autodoc/registry_jobs autodoc/relationship autodoc/roc_curve autodoc/ruleset autodoc/secondary_dataset autodoc/segmented_modeling autodoc/shap autodoc/sharing autodoc/status_check_job autodoc/training_predictions autodoc/types autodoc/use_cases autodoc/user_blueprints autodoc/visual_ai autodoc/word_cloud experimental/index CHANGES 
resolving references...
done
writing... done
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build succeeded.

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

[rtd-command-info] start-time: 2024-11-04T17:34:37.103994Z, end-time: 2024-11-04T17:34:37.168266Z, 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: 2024-11-04T17:34:37.234286Z, end-time: 2024-11-04T17:35:14.231199Z, duration: 36, exit-code: 0
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Chapter 1.
[3] [4]
Chapter 2.

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[]\T1/qtm/m/n/10 Just as with the lift and ROC charts, you can use \T1/txtt/m/n
/10 Model \T1/qtm/m/n/10 meth-ods \T1/txtt/m/n/10 get_residuals_chart \T1/qtm/m
/n/10 and
[38] [39] [40] [41] [42] [43] [44] [45]
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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.
[46]
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\T1/qtm/m/n/10 and \T1/txtt/m/n/10 validation_start_date\T1/qtm/m/n/10 . Us-ing
 the same date for both \T1/txtt/m/n/10 primary_training_end_date \T1/qtm/m/n/1
0 and

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[]\T1/qtm/m/n/10 For date-time par-ti-tioned model you can re-trieve the Ac-cu-
racy 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
[47] [48] [49] [50] [51] [52]
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[]\T1/qtm/m/n/10 Enough rows of his-tor-i-cal data must be pro-vided to cover t
he span of the ef-fec-tive Fea-ture Deriva-

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[53] [54] [55] [56]
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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.
[57] [58]
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l.3714     ├── american\PYGZus{}bulldog
                                             

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[61] [62] [63 <./sample1.png> <./sample2.png>] [64] [65 <./activation_map1.png>
 <./activation_map2.png>] [66] [67 <./embeddings.png>]
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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
[72]
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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
[73] [74] [75] [76] [77] [78] [79] [80] [81]

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l.5069 ...gment\PYGZus{}id}\PYG{l+s+s2}{\PYGZdq{}}
                                                  

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l.5069 ...gment\PYGZus{}id}\PYG{l+s+s2}{\PYGZdq{}}
                                                  
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l.5686     ├── data.csv
                             

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[91] [92] [93] [94] [95] [96] [97]
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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.
[98] [99]
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[]\T1/qtm/m/n/10 If you just want to get gen-er-ated pre-dic-tions from a Pre-d
ic-tJob, you can use the \T1/txtt/m/n/10 PredictJob.
[118] [119] [120] [121] [122] [123] [124] [125] [126] [127] [128] [129]
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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-
[130]
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[]|\T1/qtm/m/n/10 The hour(s)

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\T1/txtt/m/n/10 day_of_month

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

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

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\T1/txtt/m/n/10 day_of_week

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

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

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\T1/txtt/m/n/10 day_of_week

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

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

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\T1/qtm/m/n/10 such as
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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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[]\T1/qtm/m/n/10 When cre-at-ing a new de-ploy-ment, a DataRobot \T1/txtt/m/n/1
0 registered_model_version_id\TS1/txtt/m/n/10 ``\T1/txtt/m/n/10 (also known as
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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 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 cus-tom_model.update(is_training_data_for_versions_permanently
_enabled=True) cus-
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[]\T1/qtm/m/n/10 To cre-ate a hosted cus-tom met-ric job from gallery tem-plate
, use \T1/qtm/m/it/10 dr.registry.Job.create_from_custom_metric_gallery_templat
e\T1/qtm/m/n/10 ,
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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
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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
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\T1/qtm/m/it/10 ber_of_incremental_learning_iterations_before_best_model_select
ion=None\T1/qtm/m/n/10 , 
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\T1/qtm/m/n/10 (New in ver-sion v2.23) one of \T1/txtt/m/n/10 datarobot.enums.
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\T1/qtm/m/n/10 (New in ver-sion v2.24) Met-ric to use for cal-cu-lat-ing fair-

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\T1/qtm/m/n/10 ness. Can be one of \T1/txtt/m/n/10 proportionalParity\T1/qtm/m/
n/10 , \T1/txtt/m/n/10 equalParity\T1/qtm/m/n/10 ,

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\T1/txtt/m/n/10 predictionBalance\T1/qtm/m/n/10 , \T1/txtt/m/n/10 trueFavorable
AndUnfavorableRateParity \T1/qtm/m/n/10 or
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\T1/qtm/m/it/10 **record_kwargs\T1/txtt/m/n/10 )|  
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\T1/qtm/m/n/10 [string] The URL for the pre-dic-tion dataset (e.g.:

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\T1/qtm/m/n/10 [string] The URL for the scored dataset (e.g.: \T1/qtm/m/it/10 h
ttps://storage_account.blob.endpoint/container/blob_name\T1/qtm/m/n/10 ) 
[253]
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\T1/qtm/m/n/10 [string] The URL for the pre-dic-tion dataset (e.g.:

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\T1/qtm/m/n/10 [string] The URL for the scored dataset (e.g.: \T1/qtm/m/it/10 h
ttp(s)://storage.googleapis.com/[bucket]/[object]\T1/qtm/m/n/10 ) 
[254]
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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/qtm/m/it/10 tinue_on_error=False\T1/qtm/m/n/10 , 
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\T1/qtm/m/it/10 tinue_on_error=False\T1/qtm/m/n/10 , 

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

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\T1/qtm/m/it/10 tered_model_version\T1/qtm/m/n/10 , 

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\T1/qtm/m/it/10 model_execution_type\T1/qtm/m/n/10 , 

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\T1/qtm/m/it/10 model_description\T1/qtm/m/n/10 , 

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\T1/qtm/m/it/10 bias_and_fairness=None\T1/qtm/m/n/10 , 

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\T1/qtm/m/it/10 build_status=None\T1/qtm/m/n/10 , 

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\T1/qtm/m/it/10 user_provided_id=None\T1/qtm/m/n/10 , 

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\T1/qtm/m/it/10 dated_at=None\T1/qtm/m/n/10 , 

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\T1/qtm/m/it/10 dated_by=None\T1/qtm/m/n/10 , 

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\T1/qtm/m/it/10 mlpkg_file_contents=None\T1/txtt/m/n/10 )|  
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\T1/qtm/m/it/10 ment_attribute=None\T1/qtm/m/n/10 , 

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\T1/qtm/m/it/10 ment_value=None\T1/txtt/m/n/10 )|  
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\T1/qtm/m/it/10 ment_attribute=None\T1/qtm/m/n/10 , 

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\T1/qtm/m/it/10 ment_value=None\T1/txtt/m/n/10 )|  
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\T1/qtm/m/it/10 tom_metric_metadata\T1/qtm/m/n/10 , 

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\T1/qtm/m/it/10 fault_environment\T1/qtm/m/n/10 , 

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\T1/qtm/m/it/10 plate_metric_type\T1/txtt/m/n/10 )|  
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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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\T1/qtm/m/it/10 is_model_specific\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.ANOMALY\T1/qtm/m/n/10 ,

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\T1/qtm/m/n/10 Tar-get fea-ture name. It is op-tional(ignored if pro-vided) for


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\T1/qtm/m/it/10 datarobot.TARGET_TYPE.UNSTRUCTURED \T1/qtm/m/n/10 or \T1/qtm/m/
it/10 datarobot.TARGET_TYPE.ANOMALY
[329]
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\T1/qtm/m/n/10 De-ter-mines whether the given cus-tom model is iso-lated, or ca
n 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 ,
[330]
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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 ] 

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\T1/qtm/m/n/10 Tar-get fea-ture name. It is op-tional(ignored if pro-vided) for

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\T1/qtm/m/n/10 De-ter-mines whether the given cus-tom model is iso-lated, or ca
n 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 the type of the im-age, ei-ther CUS-TOM_MODEL_IMAGE_TYPE.CUSTOM_
MODEL_IMAGE

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\T1/qtm/m/n/10 if the test-ing at-tempt is us-ing a Cus-tom-Mod-e-lIm-age as it
s model or CUS-
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\T1/qtm/m/n/10 De-ter-mines whether the given cus-tom model is iso-lated, or ca
n 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 De-ter-mines whether the given cus-tom model is iso-lated, or ca
n 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 De-ter-mines whether the given cus-tom model is iso-lated, or ca
n 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 ,
[338]
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\T1/qtm/m/n/10 The base en-vi-ron-ment to use with this model ver-sion. At leas
t one of

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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/qtm/m/n/10 De-ter-mines whether the given cus-tom model is iso-lated, or ca
n 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 The base en-vi-ron-ment to use with this model ver-sion. At leas
t one of

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\T1/qtm/m/n/10 will be used for tu-ples Ex-am-ple: [(^^P/home/user/Documents/my
Model/file1.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/qtm/m/n/10 De-ter-mines whether the given cus-tom model is iso-lated, or ca
n 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 Get lat-est cus-tom model ver-sion con-ver-sion for a given cus-
tom model ver-sion. :rtype:
[348]
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\T1/qtm/m/n/10 Get cus-tom model ver-sion con-ver-sions list per cus-tom model 
ver-sion. :rtype:

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\T1/qtm/m/n/10 Re-trieve in-for-ma-tion about a cus-tom model ver-sion's de-pen
-dency build :rtype:
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\T1/qtm/m/n/10 Start the de-pen-dency build for a cus-tom model ver-sion de-pen
-dency build :rtype:
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\T1/qtm/m/n/10 build sta-tus of the ex-e-cu-tion en-vi-ron-ment ver-sion to fil
-ter by. See

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\T1/qtm/m/n/10 datarobot.enums.EXECUTION_ENVIRONMENT_VERSION_BUILD_STATUS
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\T1/qtm/m/n/10 whether anomaly pre-dic-tions should be cal-i-brated to be be-tw
een 0

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\T1/qtm/m/n/10 and 1 by DR. only ap-plies to cus-tom es-ti-ma-tors with tar-get
 type
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\T1/qtm/m/it/10 only_matched_predictions=None\T1/qtm/m/n/10 , 
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\T1/qtm/m/n/10 [str] Op-tional. The full JDBC URL (for ex-am-ple:
[393]
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\T1/qtm/m/n/10 [str] Op-tional. The iden-ti-fier of the Con-nec-tor. if the typ
e is Data-S-tore-

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\T1/qtm/m/n/10 [str] Op-tional. The full JDBC URL (for ex-am-ple:
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\T1/qtm/m/n/10 SCHEMA . TABLE _ NAME$[][]' - `[][]$jdbc : DATA _ SOURCE _ GIVEN
 _ NAME$[][]/<query>' - for
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\T1/qtm/m/n/10 The res-o-lu-tion that is used for bin-ning. One of \T1/txtt/m/n
/10 datarobot.enums.
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\T1/qtm/m/n/10 The res-o-lu-tion that is used for bin-ning. One of \T1/txtt/m/n
/10 datarobot.enums.
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\T1/qtm/m/n/10 The res-o-lu-tion that is used for bin-ning. One of \T1/txtt/m/n
/10 datarobot.enums.
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\T1/qtm/m/n/10 [list] To cre-ate or up-date ex-ist-ing seg-ment anal-y-sis at-t
ributes, see
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\T1/qtm/m/n/10 [bool] If pre-dic-tions data col-lec-tion is en-abled for this d
e-ploy-

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\T1/qtm/m/n/10 ment. To up-date ex-ist-ing `'pre-dic-tions_data_collection'' se
t-tings, see
[447]
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\T1/qtm/m/n/10 [bool] If tar-get pre-dic-tion_warning is en-abled for this de-p
loy-ment.

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\T1/qtm/m/n/10 To cre-ate or up-date ex-ist-ing `'pre-dic-tion_warning'' set-ti
ngs, see
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\T1/qtm/m/n/10 Re-trieve drift in-for-ma-tion for de-ploy-ment's fea-tures over
 a cer-tain time pe-riod. :rtype:
[452]
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\T1/qtm/m/n/10 Re-trieve stats of de-ploy-ment's pre-dic-tion re-sponse over a 
cer-tain time pe-riod. :rtype:
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\T1/qtm/m/n/10 Re-trieve drift in-for-ma-tion for de-ploy-ment's fea-tures over
 a cer-tain time pe-riod. :rtype:
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\T1/qtm/m/it/10 tected_feature=None\T1/qtm/m/n/10 , 

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\T1/qtm/m/it/10 ness_threshold=None\T1/qtm/m/n/10 , 

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\T1/qtm/m/it/10 model_package_id=None\T1/qtm/m/n/10 , 

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\T1/qtm/m/it/10 able_target_outcome=None\T1/txtt/m/n/10 )|  
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[]\T1/qtm/m/it/10 document_index\T1/qtm/m/n/10 , 

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\T1/qtm/m/it/10 tual_target_value=None\T1/qtm/m/n/10 , 
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\T1/qtm/m/it/10 ment_page_width\T1/qtm/m/n/10 , 

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\T1/qtm/m/it/10 ment_page_height\T1/qtm/m/n/10 , 

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\T1/qtm/m/it/10 tual_target_value=None\T1/qtm/m/n/10 , 
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[]\T1/qtm/m/it/10 baseline_validation_job_id\T1/qtm/m/n/10 , 

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\T1/qtm/m/it/10 project_id\T1/qtm/m/n/10 , 

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\T1/qtm/m/it/10 log_version_id\T1/qtm/m/n/10 , 

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\T1/qtm/m/it/10 time_partition_column\T1/qtm/m/n/10 , 

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\T1/qtm/m/it/10 is_external_baseline_dataset_valid\T1/qtm/m/n/10 , 

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\T1/qtm/m/it/10 series_id_columns=None\T1/qtm/m/n/10 , 

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\T1/qtm/m/it/10 out_start_date=None\T1/qtm/m/n/10 , 

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\T1/qtm/m/it/10 out_end_date=None\T1/qtm/m/n/10 , 

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\T1/qtm/m/it/10 tests=None\T1/qtm/m/n/10 , 

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\T1/qtm/m/it/10 cast_window_start=None\T1/qtm/m/n/10 , 

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\T1/qtm/m/it/10 cast_window_end=None\T1/qtm/m/n/10 , 

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\T1/qtm/m/it/10 sage=None\T1/txtt/m/n/10 )|  
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[]\T1/qtm/m/n/10 {`key':'DataRobot', `sum-mary':{`min':0, `max':29815.0, `std-D
ev':6498.029,
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[]\T1/qtm/m/n/10 {`key':'DataRobot', `sum-mary':{`min':0, `max':29815.0, `std-D
ev':6498.029,
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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 ,
[502]
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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/qtm/m/n/10 [list(dict)] List of con-di-tional prob-a-bil-ity val-ues with a
 schema de-scribed as

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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)].

[503] [504] [505]
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\T1/qtm/m/n/10 [enums.FEATURE_ASSOCIATION_METRIC] The name of a met-ric to

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\T1/qtm/m/n/10 get pair-wise data for. Since `v2.19' this is op-tional and de-f
aults to

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\T1/qtm/m/n/10 [enums.FEATURE_ASSOCIATION_TYPE] The type of de-pen-

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\T1/qtm/m/n/10 dence for the data. Since `v2.19' this is op-tional and de-fault
s to
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[]\T1/qtm/m/it/10 ff_metadata_datetime_per_backtest\T1/txtt/m/n/10 )|  
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\T1/qtm/m/it/10 prompt_column_name\T1/qtm/m/n/10 , 
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\T1/qtm/m/it/10 prompt_column_name\T1/qtm/m/n/10 , 

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\T1/qtm/m/it/10 get_column_name\T1/qtm/m/n/10 , 

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\T1/qtm/m/it/10 model_id\T1/qtm/m/n/10 , 

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\T1/qtm/m/it/10 tion_status\T1/qtm/m/n/10 , 

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\T1/qtm/m/it/10 ment_access_data\T1/qtm/m/n/10 , 

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\T1/qtm/m/it/10 ation_date\T1/qtm/m/n/10 , 

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\T1/qtm/m/it/10 ror_message\T1/qtm/m/n/10 , 

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\T1/qtm/m/it/10 ment_name\T1/qtm/m/n/10 , 

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\T1/qtm/m/it/10 user_name\T1/qtm/m/n/10 , 

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\T1/qtm/m/it/10 use_case_id\T1/qtm/m/n/10 , 

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[531]
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\T1/qtm/m/it/10 tion_status\T1/qtm/m/n/10 , 

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\T1/qtm/m/it/10 ment_access_data\T1/qtm/m/n/10 , 

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\T1/qtm/m/it/10 ation_date\T1/qtm/m/n/10 , 

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\T1/qtm/m/it/10 ror_message\T1/qtm/m/n/10 , 

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\T1/qtm/m/it/10 ment_name\T1/qtm/m/n/10 , 

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\T1/qtm/m/it/10 user_name\T1/qtm/m/n/10 , 

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\T1/qtm/m/it/10 use_case_id\T1/qtm/m/n/10 , 

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\T1/qtm/m/it/10 tion_timeout\T1/txtt/m/n/10 )|  
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\T1/qtm/m/n/10 keys: \T1/txtt/m/n/10 featureName\T1/qtm/m/n/10 , \T1/txtt/m/n/1
0 impactNormalized\T1/qtm/m/n/10 , and \T1/txtt/m/n/10 impactUnnormalized\T1/qt
m/m/n/10 , and
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[]\T1/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
[595] [596] [597] [598] [599] [600]
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\T1/qtm/m/n/10 of fea-tures with a mono-ton-i-cally de-creas-ing re-la-tion-shi
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\T1/qtm/m/n/10 ing \T1/txtt/m/n/10 None \T1/qtm/m/n/10 dis-ables de-creas-ing m
ono-tonic-ity con-straint. De-fault (\T1/txtt/m/n/10 dr.enums.
[601]
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[]\T1/qtm/m/n/10 All du-ra-tions should be spec-i-fied with a du-ra-tion string
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[][]\T1/txtt/m/sl/10 partitioning_methods.construct_duration_string[][] \T1/qtm
/m/n/10 helper method. Please see [][]\T1/qtm/m/it/10 date-time
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\T1/qtm/m/n/10 keys: \T1/txtt/m/n/10 featureName\T1/qtm/m/n/10 , \T1/txtt/m/n/1
0 impactNormalized\T1/qtm/m/n/10 , and \T1/txtt/m/n/10 impactUnnormalized\T1/qt
m/m/n/10 , and
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\T1/qtm/m/n/10 keys: \T1/txtt/m/n/10 featureName\T1/qtm/m/n/10 , \T1/txtt/m/n/1
0 impactNormalized\T1/qtm/m/n/10 , and \T1/txtt/m/n/10 impactUnnormalized\T1/qt
m/m/n/10 , and
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[]\T1/qtm/m/n/10 All du-ra-tions should be spec-i-fied with a du-ra-tion string
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[][]\T1/txtt/m/sl/10 partitioning_methods.construct_duration_string[][] \T1/qtm
/m/n/10 helper method. Please see [][]\T1/qtm/m/it/10 date-time
[655] [656] [657] [658] [659] [660]
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\T1/qtm/m/n/10 of fea-tures with a mono-ton-i-cally de-creas-ing re-la-tion-shi
p to the tar-get. Pass-

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\T1/qtm/m/n/10 ing \T1/txtt/m/n/10 None \T1/qtm/m/n/10 dis-ables de-creas-ing m
ono-tonic-ity con-straint. De-fault (\T1/txtt/m/n/10 dr.enums.
[661]
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[]\T1/qtm/m/n/10 All du-ra-tions should be spec-i-fied with a du-ra-tion string
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[][]\T1/txtt/m/sl/10 partitioning_methods.construct_duration_string[][] \T1/qtm
/m/n/10 helper method. Please see [][]\T1/qtm/m/it/10 date-time
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\T1/qtm/m/n/10 of the \T1/txtt/m/n/10 windows_basis_unit \T1/qtm/m/n/10 into th
e past rel-a-tive to the fore-cast point the

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\T1/txtt/m/n/10 feature_derivation_window_start \T1/qtm/m/n/10 set on the proje
ct due to the dif-fer-enc-ing
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[]\T1/qtm/m/n/10 All du-ra-tions should be spec-i-fied with a du-ra-tion string
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Underfull \hbox (badness 8075) in paragraph at lines 59744--59749
[][]\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 [AnomalyOverTimePlotPreview] a [][]\T1/txtt/m/sl/10 AnomalyOverT
imePlotPreview[][] \T1/qtm/m/n/10 rep-re-sent-ing
[681]
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\T1/qtm/m/n/10 [list of Anoma-lyAssess-men-tRecord] a [][]\T1/txtt/m/sl/10 Anom
alyAssessmentRecord[][] \T1/qtm/m/n/10 rep-re-sent-ing
[682]
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\T1/qtm/m/n/10 keys: \T1/txtt/m/n/10 featureName\T1/qtm/m/n/10 , \T1/txtt/m/n/1
0 impactNormalized\T1/qtm/m/n/10 , and \T1/txtt/m/n/10 impactUnnormalized\T1/qt
m/m/n/10 , and
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\T1/qtm/m/n/10 [str] (Dep-re-cated in ver-sion v3.4) Lift chart data source. Ch
eck

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\T1/qtm/m/n/10 [str] (Dep-re-cated in ver-sion v3.4) Lift chart data source. Ch
eck
[685]
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\T1/qtm/m/n/10 [str] (Dep-re-cated in ver-sion v3.4) Roc Curve data source. Che
ck

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\T1/qtm/m/n/10 [str] (Dep-re-cated in ver-sion v3.4) ROC curve data source. Che
ck
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[]\T1/qtm/m/n/10 All du-ra-tions should be spec-i-fied with a du-ra-tion string
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[][]\T1/txtt/m/sl/10 partitioning_methods.construct_duration_string[][] \T1/qtm
/m/n/10 helper method. Please see [][]\T1/qtm/m/it/10 date-time
[701] [702] [703] [704]
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[]\T1/qtm/m/n/10 All du-ra-tions should be spec-i-fied with a du-ra-tion string
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[][]\T1/txtt/m/sl/10 partitioning_methods.construct_duration_string[][] \T1/qtm
/m/n/10 helper method. Please see [][]\T1/qtm/m/it/10 date-time
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\T1/qtm/m/n/10 keys: \T1/txtt/m/n/10 featureName\T1/qtm/m/n/10 , \T1/txtt/m/n/1
0 impactNormalized\T1/qtm/m/n/10 , and \T1/txtt/m/n/10 impactUnnormalized\T1/qt
m/m/n/10 , and
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[]\T1/qtm/m/n/10 All du-ra-tions should be spec-i-fied with a du-ra-tion string
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[][]\T1/txtt/m/sl/10 partitioning_methods.construct_duration_string[][] \T1/qtm
/m/n/10 helper method. Please see [][]\T1/qtm/m/it/10 date-time
[732] [733] [734] [735] [736] [737] [738]
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\T1/qtm/m/n/10 of fea-tures with a mono-ton-i-cally de-creas-ing re-la-tion-shi
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\T1/qtm/m/n/10 ing \T1/txtt/m/n/10 None \T1/qtm/m/n/10 dis-ables de-creas-ing m
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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/it/10 low_partial_history_time_series_predictions=False\T1/qtm/m/n/10
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[]\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

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[]\T1/qtm/m/n/10 Note that ei-ther (\T1/txtt/m/n/10 holdout_start_date\T1/qtm/m
/n/10 , \T1/txtt/m/n/10 holdout_duration\T1/qtm/m/n/10 ) or (\T1/txtt/m/n/10 ho
ldout_start_date\T1/qtm/m/n/10 ,

Underfull \hbox (badness 10000) in paragraph at lines 67481--67485
\T1/qtm/m/n/10 [str] one of \T1/txtt/m/n/10 datarobot.enums.DATETIME_AUTOPILOT_
DATA_SELECTION_METHOD\T1/qtm/m/n/10 .
[745]
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\T1/qtm/m/n/10 [datetime.datetime or None] The start date of hold-out scor-ing 
data. If
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[]\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 ,
[749] [750] [751]
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\T1/qtm/m/n/10 [str] one of \T1/txtt/m/n/10 datarobot.enums.DATETIME_AUTOPILOT_
DATA_SELECTION_METHOD\T1/qtm/m/n/10 .
[752] [753] [754] [755] [756] [757]
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\T1/qtm/m/n/10 proach for spec-i-fy-ing back-tests (\T1/txtt/m/n/10 gap_duratio
n\T1/qtm/m/n/10 , \T1/txtt/m/n/10 validation_start_date\T1/qtm/m/n/10 , and
[758] [759]
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[]\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 68768--68771
\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.
[760] [761]
Underfull \hbox (badness 10000) in paragraph at lines 68973--68982
\T1/qtm/m/n/10 [bool] De-fault \T1/txtt/m/n/10 False\T1/qtm/m/n/10 . If \T1/txt
t/m/n/10 False\T1/qtm/m/n/10 , will use a duration-based ap-proach

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\T1/qtm/m/n/10 for spec-i-fy-ing back-tests (\T1/txtt/m/n/10 gap_duration\T1/qt
m/m/n/10 , \T1/txtt/m/n/10 validation_start_date\T1/qtm/m/n/10 , and

Underfull \hbox (badness 10000) in paragraph at lines 68973--68982
\T1/qtm/m/n/10 ing back-tests (\T1/txtt/m/n/10 primary_training_start_date\T1/q
tm/m/n/10 , \T1/txtt/m/n/10 primary_training_end_date\T1/qtm/m/n/10 ,
[762] [763] [764] [765] [766] [767] [768] [769] [770] [771] [772] [773]
[774] [775] [776]
Underfull \hbox (badness 10000) in paragraph at lines 70558--70561
[]\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 70563--70566
[]\T1/qtm/m/n/10 Com-pute pre-dic-tions for the model and dataset via \T1/txtt/
m/n/10 datarobot.Model.
[777]
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\T1/qtm/m/n/10 Cre-ate pre-dic-tion ex-pla-na-tions for the the dataset used to
 train the model. This can be

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\T1/qtm/m/n/10 re-trieved by call-ing \T1/txtt/m/n/10 dr.Model.get().featurelis
t_id\T1/qtm/m/n/10 . For OTV and time-series projects,

Underfull \hbox (badness 10000) in paragraph at lines 70648--70651
[]\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 70653--70656
[]\T1/qtm/m/n/10 Com-pute pre-dic-tions for the model and dataset via \T1/txtt/
m/n/10 datarobot.Model.
[778] [779] [780]
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\T1/qtm/m/it/10 tion_explanations=None\T1/qtm/m/n/10 , 

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\T1/qtm/m/it/10 justed_prediction=None\T1/qtm/m/n/10 , 

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\T1/qtm/m/it/10 justed_prediction_values=None\T1/txtt/m/n/10 )|  
[781]
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\T1/qtm/m/it/10 tion_explanations_record_location=None\T1/qtm/m/n/10 , 

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\T1/qtm/m/it/10 ment_method=None\T1/txtt/m/n/10 )|  
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[]\T1/qtm/m/n/10 Project.list(search_params={`project_name': `red'}) >>> [Proje
ct(`Prediction Time'),
[801] [802] [803]
(/usr/share/texlive/texmf-dist/tex/latex/fontawesome5/ufontawesomefree2.fd)
[804]
Underfull \hbox (badness 10000) in paragraph at lines 73292--73295
\T1/qtm/m/n/10 [ClassMappingAggregationSettings, op-tional] In-stance of \T1/tx
tt/m/n/10 datarobot.helpers.
[805] [806] [807]
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\T1/qtm/m/n/10 level: \T1/qtm/m/it/10 mono-tonic_increasing_featurelist_id\T1/q
tm/m/n/10 , \T1/qtm/m/it/10 mono-tonic_decreasing_featurelist_id\T1/qtm/m/n/10 
,

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\T1/qtm/m/it/10 sup-ports_composable_ml \T1/qtm/m/n/10 and \T1/qtm/m/it/10 sup-
ports_monotonic_constraints\T1/qtm/m/n/10 . Fol-low-ing at-

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\T1/qtm/m/n/10 tributes are ab-sent and could be re-trieved from the in-di-vid-
ual model level:

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\T1/qtm/m/it/10 has_empty_clusters\T1/qtm/m/n/10 , \T1/qtm/m/it/10 is_n_cluster
s_dynamically_determined\T1/qtm/m/n/10 , \T1/qtm/m/it/10 pre-dic-tion_threshold

[808] [809] [810] [811]
Underfull \hbox (badness 10000) in paragraph at lines 73900--73903
\T1/qtm/m/n/10 Raised if \T1/txtt/m/n/10 forecast_point \T1/qtm/m/n/10 or \T1/t
xtt/m/n/10 predictions_start_date \T1/qtm/m/n/10 and
[812] [813] [814] [815] [816] [817] [818] [819] [820] [821] [822] [823]
[824] [825]
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\T1/qtm/m/n/10 of fea-tures with a mono-ton-i-cally de-creas-ing re-la-tion-shi
p to the tar-get. Pass-

Underfull \hbox (badness 10000) in paragraph at lines 75253--75259
\T1/qtm/m/n/10 ing \T1/txtt/m/n/10 None \T1/qtm/m/n/10 dis-ables de-creas-ing m
ono-tonic-ity con-straint. De-fault (\T1/txtt/m/n/10 dr.enums.
[826]
Underfull \hbox (badness 10000) in paragraph at lines 75325--75330
[]\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 75325--75330
[][]\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
[827] [828] [829] [830] [831] [832] [833]
Underfull \hbox (badness 10000) in paragraph at lines 76097--76102
\T1/qtm/m/n/10 (New in ver-sion v2.23) one of \T1/txtt/m/n/10 datarobot.enums.

Underfull \hbox (badness 10000) in paragraph at lines 76097--76102
\T1/txtt/m/n/10 DATETIME_AUTOPILOT_DATA_SAMPLING_METHOD\T1/qtm/m/n/10 . Ap-pli-
ca-ble for OTV projects
[834]
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\T1/qtm/m/n/10 (New in ver-sion v2.24) Met-ric to use for cal-cu-lat-ing fair-

Underfull \hbox (badness 10000) in paragraph at lines 76155--76161
\T1/qtm/m/n/10 ness. Can be one of \T1/txtt/m/n/10 proportionalParity\T1/qtm/m/
n/10 , \T1/txtt/m/n/10 equalParity\T1/qtm/m/n/10 ,

Underfull \hbox (badness 10000) in paragraph at lines 76155--76161
\T1/txtt/m/n/10 predictionBalance\T1/qtm/m/n/10 , \T1/txtt/m/n/10 trueFavorable
AndUnfavorableRateParity \T1/qtm/m/n/10 or
[835] [836]
Underfull \hbox (badness 10000) in paragraph at lines 76331--76335
\T1/qtm/m/n/10 [PartitioningMethod, op-tional] An in-stance of \T1/txtt/m/n/10 
datarobot.helpers.
[837] [838] [839]
Underfull \hbox (badness 10000) in paragraph at lines 76606--76608
\T1/qtm/m/n/10 If value of \T1/txtt/m/n/10 variable_type \T1/qtm/m/n/10 is not 
from \T1/txtt/m/n/10 datarobot.enums.
[840] [841]
Underfull \hbox (badness 10000) in paragraph at lines 76877--76880
\T1/qtm/m/n/10 In-stance of the Date-timePar-ti-tion-ing de-fined in \T1/txtt/m
/n/10 datarobot.helpers.
[842] [843] [844] [845]
Underfull \hbox (badness 10000) in paragraph at lines 77296--77303
[]\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
[846] [847] [848] [849]
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\T1/qtm/m/it/10 time_partition_column\T1/qtm/m/n/10 , 

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\T1/qtm/m/it/10 series_id_column=None\T1/qtm/m/n/10 , 

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\T1/qtm/m/it/10 rolling_most_frequent_udf=None\T1/txtt/m/n/10 )|  
[850]
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\T1/qtm/m/it/10 time_partition_column\T1/qtm/m/n/10 , 

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\T1/qtm/m/it/10 series_id_column=None\T1/qtm/m/n/10 , 

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\T1/qtm/m/it/10 rolling_median_udf=None\T1/txtt/m/n/10 )|  

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\T1/qtm/m/it/10 known_in_advance_columns=None\T1/qtm/m/n/10 , 

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\T1/qtm/m/it/10 rolling_median_udf=None\T1/qtm/m/n/10 , 

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\T1/qtm/m/it/10 rolling_most_frequent_udf=None\T1/qtm/m/n/10 , 

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[]\T1/qtm/m/it/10 datetime_partition_column\T1/qtm/m/n/10 , 

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\T1/qtm/m/it/10 series_id_column=None\T1/qtm/m/n/10 , 

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\T1/qtm/m/it/10 lected_series=None\T1/txtt/m/n/10 )|  
[851] [852] [853] [854]
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\T1/qtm/m/n/10 [Optional[RegisteredModelVersionsListFilters]] A Reg-is-tered-Mo
d-elVer-sion-sList-Fil-ters
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\T1/qtm/m/it/10 rently_deployed\T1/qtm/m/n/10 , 

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\T1/qtm/m/it/10 tered_model_version\T1/qtm/m/n/10 , 

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\T1/qtm/m/it/10 first_deployed_at=None\T1/qtm/m/n/10 , 

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\T1/qtm/m/it/10 first_deployed_by=None\T1/qtm/m/n/10 , 

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\T1/qtm/m/it/10 tion_environment=None\T1/txtt/m/n/10 )|  
[861]
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\T1/qtm/m/it/10 ble_with_leaderboard_model_id=None\T1/qtm/m/n/10 , 

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\T1/qtm/m/it/10 ble_with_model_package_id=None\T1/qtm/m/n/10 , 

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\T1/qtm/m/it/10 for_challenger=None\T1/qtm/m/n/10 , 

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\T1/qtm/m/it/10 tion_threshold=None\T1/qtm/m/n/10 , 

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\T1/qtm/m/it/10 tion_environment_id=None\T1/qtm/m/n/10 , 
[862]
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\T1/qtm/m/it/10 ble_with_leaderboard_model_id=None\T1/qtm/m/n/10 , 

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\T1/qtm/m/it/10 ble_with_model_package_id=None\T1/qtm/m/n/10 , 
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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.

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\T1/qtm/m/n/10 Time unit of the pre-dic-tion point round-ing. One of \T1/txtt/m
/n/10 datarobot.enums.

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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.
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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.
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\T1/qtm/m/n/10 Re-trieve a sin-gle sec-ondary dataset con-fig-u-ra-tion for a g
iven id :rtype:
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\T1/qtm/m/it/10 not_added_to_menu=None\T1/qtm/m/n/10 , 
[920]
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\T1/qtm/m/it/10 **kwargs\T1/txtt/m/n/10 )|  
[921]
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[]\T1/qtm/m/it/10 id\T1/qtm/m/n/10 , 

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\T1/qtm/m/it/10 name\T1/qtm/m/n/10 , 

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\T1/qtm/m/it/10 role\T1/qtm/m/n/10 , 

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\T1/qtm/m/it/10 share_recipient_type\T1/qtm/m/n/10 , 

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\T1/qtm/m/it/10 **kwargs\T1/txtt/m/n/10 )|  

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\T1/qtm/m/it/10 info_creator_full_name\T1/qtm/m/n/10 , 

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\T1/qtm/m/it/10 last_modifier_full_name=None\T1/qtm/m/n/10 , 
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[934]
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\T1/qtm/m/it/10 tive_feature_derivation_window_start=None\T1/qtm/m/n/10 , 

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\T1/qtm/m/it/10 tive_feature_derivation_window_end=None\T1/qtm/m/n/10 , 

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\T1/qtm/m/it/10 is_n_clusters_dynamically_determined=None\T1/qtm/m/n/10 , 
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\T1/qtm/m/it/10 chunk_overlap_percentage\T1/qtm/m/n/10 , 

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\T1/qtm/m/it/10 added_dataset_names\T1/qtm/m/n/10 , 
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[]\T1/qtm/m/it/10 embedding_models\T1/qtm/m/n/10 , 

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\T1/qtm/m/it/10 fault_embedding_model\T1/qtm/m/n/10 , 

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\T1/qtm/m/it/10 tom_model_embedding_validations\T1/txtt/m/n/10 )|  

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[]\T1/qtm/m/it/10 name\T1/qtm/m/n/10 , 

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\T1/qtm/m/it/10 enum\T1/qtm/m/n/10 , 

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\T1/qtm/m/it/10 group_id\T1/txtt/m/n/10 )|  
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[]\T1/qtm/m/it/10 settings\T1/txtt/m/n/10 )|  

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[]\T1/qtm/m/it/10 job_id\T1/qtm/m/n/10 , 

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\T1/qtm/m/it/10 vec- 

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\T1/qtm/m/it/10 tor_database_id\T1/qtm/m/n/10 , 

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\T1/qtm/m/it/10 ex- 

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\T1/qtm/m/it/10 port_dataset_id\T1/txtt/m/n/10 )|  
[956]
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\T1/qtm/m/it/10 chat_prompt_ids_included_in_history=None\T1/qtm/m/n/10 , 
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\T1/qtm/m/it/10 mated_docs_token_count\T1/qtm/m/n/10 , 

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[]\T1/qtm/m/it/10 max_documents_retrieved_per_prompt=None\T1/qtm/m/n/10 , 

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\T1/qtm/m/it/10 max_tokens=None\T1/qtm/m/n/10 , 

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\T1/qtm/m/it/10 triever=VectorDatabaseRetrievers.SINGLE_LOOKUP_RETRIEVER\T1/qtm
/m/n/10 , 

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\T1/qtm/m/it/10 ric_name=None\T1/qtm/m/n/10 , 

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\T1/qtm/m/it/10 tion_type=None\T1/qtm/m/n/10 , 

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\T1/qtm/m/it/10 ing_result=None\T1/txtt/m/n/10 )|  
[1002]
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\T1/qtm/m/it/10 **kwargs\T1/txtt/m/n/10 )|  

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[]\T1/qtm/m/it/10 *args\T1/qtm/m/n/10 , 

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\T1/qtm/m/it/10 **kwargs\T1/txtt/m/n/10 )|  

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[]\T1/qtm/m/it/10 *args\T1/qtm/m/n/10 , 

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\T1/qtm/m/it/10 **kwargs\T1/txtt/m/n/10 )|  

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[]\T1/qtm/m/it/10 blocked_terms_file_contents\T1/qtm/m/n/10 , 

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\T1/qtm/m/it/10 prompt_pipeline_metric_name=None\T1/qtm/m/n/10 , 

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\T1/qtm/m/it/10 prompt_pipeline_files=None\T1/qtm/m/n/10 , 

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\T1/qtm/m/it/10 prompt_llm_configuration=None\T1/qtm/m/n/10 , 

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\T1/qtm/m/it/10 prompt_moderation_configuration=None\T1/qtm/m/n/10 , 

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\T1/qtm/m/it/10 prompt_pipeline_template_id=None\T1/qtm/m/n/10 , 

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\T1/qtm/m/it/10 sponse_pipeline_metric_name=None\T1/qtm/m/n/10 , 

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\T1/qtm/m/it/10 sponse_pipeline_files=None\T1/qtm/m/n/10 , 

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\T1/qtm/m/it/10 sponse_llm_configuration=None\T1/qtm/m/n/10 , 

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\T1/qtm/m/it/10 sponse_moderation_configuration=None\T1/qtm/m/n/10 , 

Overfull \hbox (99.50375pt too wide) in paragraph at lines 92193--92193
\T1/qtm/m/it/10 sponse_pipeline_template_id=None\T1/txtt/m/n/10 )|  
[1003] [1004]
Overfull \hbox (31.8338pt too wide) in paragraph at lines 92362--92362
\T1/qtm/m/it/10 prompt_column_name\T1/qtm/m/n/10 , 

Overfull \hbox (15.0638pt too wide) in paragraph at lines 92362--92362
\T1/qtm/m/it/10 dataset_url=None\T1/qtm/m/n/10 , 

Overfull \hbox (58.1738pt too wide) in paragraph at lines 92362--92362
\T1/qtm/m/it/10 sponse_column_name=None\T1/qtm/m/n/10 , 
[1005]
Overfull \hbox (80.11386pt too wide) in paragraph at lines 92519--92519
\T1/qtm/m/it/10 car_model_metric_validation_id=None\T1/qtm/m/n/10 , 

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\T1/qtm/m/it/10 tom_metric_id=None\T1/qtm/m/n/10 , 

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\T1/qtm/m/it/10 tion_dataset_configuration_id=None\T1/qtm/m/n/10 , 

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\T1/qtm/m/it/10 cost_configuration_id=None\T1/qtm/m/n/10 , 

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\T1/qtm/m/it/10 ootb_metric_id=None\T1/qtm/m/n/10 , 

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\T1/qtm/m/it/10 ootb_metric_name=None\T1/qtm/m/n/10 , 

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\T1/qtm/m/it/10 guard_conditions=None\T1/qtm/m/n/10 , 

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\T1/qtm/m/it/10 tion_configuration=None\T1/qtm/m/n/10 , 

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\T1/qtm/m/it/10 ror_resolution=None\T1/qtm/m/n/10 , 

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\T1/qtm/m/it/10 nemo_metric_id=None\T1/qtm/m/n/10 , 

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\T1/qtm/m/it/10 tom_model_llm_validation_id=None\T1/qtm/m/n/10 , 

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\T1/qtm/m/it/10 car_model_metric_metadata=None\T1/qtm/m/n/10 , 

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\T1/qtm/m/it/10 guard_template_id=None\T1/qtm/m/n/10 , 

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\T1/qtm/m/it/10 guard_configuration_id=None\T1/qtm/m/n/10 , 

Overfull \hbox (100.63377pt too wide) in paragraph at lines 92519--92519
\T1/qtm/m/it/10 model_package_registered_model_id=None\T1/txtt/m/n/10 )|  
[1006] [1007]
Overfull \hbox (186.89838pt too wide) in paragraph at lines 92600--92600
[]\T1/qtm/m/it/10 ootb_metric_configurations\T1/txtt/m/n/10 )|  
[1008]
Underfull \hbox (badness 10000) in paragraph at lines 92761--92763
[]\T1/qtm/m/n/10 Added method [][]\T1/txtt/m/sl/10 Deployment.get_capabilities[
][] \T1/qtm/m/n/10 to re-trieve a list of :class: \T1/qtm/m/it/10 Ca-pa-bil-ity

[1009]
Underfull \hbox (badness 10000) in paragraph at lines 92826--92828
[]\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 92846--92848
[]\T1/qtm/m/n/10 Re-named \T1/qtm/m/it/10 datarobot.enums.CustomTaskOutgoingNet
workPolicy \T1/qtm/m/n/10 to [][]\T1/txtt/m/sl/10 datarobot.enums.
[1010]
Underfull \hbox (badness 10000) in paragraph at lines 92905--92908
[]\T1/qtm/m/it/10 datarobot._experimental.models.time_series_wrangling_template
.user_flow_template \T1/qtm/m/n/10 Ex-per-i-men-tal

Overfull \hbox (5.07997pt too wide) in paragraph at lines 93024--93026
[]\T1/qtm/m/n/10 Added a new class :class: \T1/qtm/m/it/10 TraceMeta-data <data
robot._experimental.models.genai.prompt_trace.TraceMetadata>
[1011]
Underfull \hbox (badness 10000) in paragraph at lines 93077--93079
[]\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

Underfull \hbox (badness 10000) in paragraph at lines 93129--93133
[]\T1/qtm/m/n/10 Added a new class [][]\T1/txtt/m/sl/10 HostedCustomMetricTempl
ate[][] \T1/qtm/m/n/10 for hosted cus-tom met-rics tem-

Underfull \hbox (badness 10000) in paragraph at lines 93129--93133
\T1/qtm/m/n/10 plates. [][]\T1/txtt/m/sl/10 HostedCustomMetricTemplate.get[][] 
\T1/qtm/m/n/10 to re-trieve a hosted cus-tom met-ric tem-plate.
[1012]
Underfull \hbox (badness 10000) in paragraph at lines 93151--93155
[][]\T1/txtt/m/sl/10 HostedCustomMetricBlueprint.get[][] \T1/qtm/m/n/10 to get 
a hosted cus-tom met-ric blueprint.

Underfull \hbox (badness 10000) in paragraph at lines 93151--93155
[][]\T1/txtt/m/sl/10 HostedCustomMetricBlueprint.create[][] \T1/qtm/m/n/10 to c
re-ate a hosted cus-tom met-ric blueprint.

Overfull \hbox (225.76pt too wide) in paragraph at lines 93176--93183
[]\T1/qtm/m/n/10 Added a new class :class: \T1/qtm/m/it/10 Eval-u-a-tion-Datase
t-Con-fig-u-ra-tion <datarobot._experimental.models.genai.evaluation_dataset_co
nfiguration.EvaluationDatasetConfiguration>

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[]\T1/qtm/m/n/10 Added a new class :class: \T1/qtm/m/it/10 Eval-u-a-tion-Datase
t-Met-ricAggre-ga-tion <datarobot._experimental.models.genai.evaluation_dataset
_metric_aggregation.EvaluationDatasetMetricAggregation>

Overfull \hbox (216.13pt too wide) in paragraph at lines 93192--93195
[]\T1/qtm/m/n/10 Added a new class :class: \T1/qtm/m/it/10 Syn-thet-icE-val-u-a
-tion-Dataset <datarobot._experimental.models.genai.synthetic_evaluation_datase
t_generation.SyntheticEvaluationDataset>

Overfull \hbox (168.13pt too wide) in paragraph at lines 93197--93205
[]\T1/qtm/m/n/10 Added a new class :class: \T1/qtm/m/it/10 Side-car-Mod-el-Met-
ric-Val-i-da-tion <datarobot._experimental.models.genai.sidecar_model_metric.Si
decarModelMetricValidation>

Underfull \hbox (badness 5119) in paragraph at lines 93197--93205
\T1/qtm/m/n/10 car model met-ric val-i-da-tion. [][]\T1/txtt/m/sl/10 SidecarMod
elMetricValidation.list[][] \T1/qtm/m/n/10 to list side-car model met-

Underfull \hbox (badness 10000) in paragraph at lines 93197--93205
\T1/qtm/m/n/10 ric val-i-da-tions. [][]\T1/txtt/m/sl/10 SidecarModelMetricValid
ation.get[][] \T1/qtm/m/n/10 to get a side-car model met-ric val-i-da-

Underfull \hbox (badness 10000) in paragraph at lines 93197--93205
\T1/qtm/m/n/10 tion. [][]\T1/txtt/m/sl/10 SidecarModelMetricValidation.revalida
te[][] \T1/qtm/m/n/10 to re-run a side-car model met-ric val-i-da-

Underfull \hbox (badness 10000) in paragraph at lines 93197--93205
\T1/qtm/m/n/10 tion. [][]\T1/txtt/m/sl/10 SidecarModelMetricValidation.update[]
[] \T1/qtm/m/n/10 to up-date a side-car model met-ric val-i-da-tion.
[1013]
Underfull \hbox (badness 10000) in paragraph at lines 93302--93304
[]\T1/qtm/m/n/10 Added a new pa-ram-e-ter \T1/qtm/m/it/10 en-tity_type \T1/qtm/
m/n/10 to the \T1/qtm/m/it/10 com-pute \T1/qtm/m/n/10 and \T1/qtm/m/it/10 cre-a
te \T1/qtm/m/n/10 meth-ods of the

Underfull \hbox (badness 10000) in paragraph at lines 93302--93304
\T1/qtm/m/n/10 classes :class: \T1/qtm/m/it/10 Shap-Ma-trix <datarobot.insights
.shap_matrix.ShapMatrix>\T1/qtm/m/n/10 , :class:

Underfull \hbox (badness 10000) in paragraph at lines 93302--93304
\T1/qtm/m/it/10 ShapIm-pact <datarobot.insights.shap_impact.ShapImpact>\T1/qtm/
m/n/10 , :class: \T1/qtm/m/it/10 Shap-Pre-view
[1014] [1015]
Underfull \hbox (badness 10000) in paragraph at lines 93472--93474
[][][]\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
[1016]
Underfull \hbox (badness 10000) in paragraph at lines 93610--93612
[]\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.
[1017]
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[]\T1/qtm/m/n/10 Added a new class :class: \T1/qtm/m/it/10 In-sightsCon-fig-u-r
a-tion <datarobot._experimental.models.genai.insights_configuration.InsightsCon
figuration>

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[]\T1/qtm/m/n/10 Added a new class :class: \T1/qtm/m/it/10 Cost-Met-ric-Config-
u-ra-tion <datarobot._experimental.models.genai.cost_metric_configurations.Cost
MetricConfiguration>

Underfull \hbox (badness 5288) in paragraph at lines 93708--93714
\T1/txtt/m/sl/10 get[][] \T1/qtm/m/n/10 to get the cost met-ric con-fig-u-ra-ti
on. [][]\T1/txtt/m/sl/10 CostMetricConfiguration.create[][] \T1/qtm/m/n/10 to c
re-ate a cost

Overfull \hbox (126.52995pt too wide) in paragraph at lines 93716--93718
[]\T1/qtm/m/n/10 Added a new class :class: \T1/qtm/m/it/10 LLM-Cost-Con-fig-u-r
a-tion <datarobot._experimental.models.genai.cost_metric_configurations.LLMCost
Configuration>
[1018]
Underfull \hbox (badness 10000) in paragraph at lines 93720--93722
[]\T1/qtm/m/n/10 Added new classes :class: \T1/qtm/m/it/10 Shap-Ma-trix <dataro
bot.insights.shap_matrix.ShapMatrix>\T1/qtm/m/n/10 ,

Underfull \hbox (badness 10000) in paragraph at lines 93720--93722
\T1/qtm/m/n/10 :class: \T1/qtm/m/it/10 ShapIm-pact <datarobot.insights.shap_imp
act.ShapImpact>\T1/qtm/m/n/10 , :class: \T1/qtm/m/it/10 Shap-Pre-view

Underfull \hbox (badness 10000) in paragraph at lines 93749--93751
[]\T1/qtm/m/n/10 Im-ple-mented sup-port for \T1/qtm/m/it/10 dr-database-v1 \T1/
qtm/m/n/10 to \T1/qtm/m/it/10 Data-S-tore <datarobot.models.DataStore>\T1/qtm/m
/n/10 , \T1/qtm/m/it/10 Data-Source

Underfull \hbox (badness 10000) in paragraph at lines 93808--93810
[]\T1/qtm/m/n/10 Added sup-port for Na-tive Con-nec-tors to \T1/qtm/m/it/10 Con
-nec-tor <datarobot.models.Connector> \T1/qtm/m/n/10 for ev-ery-thing
[1019] [1020]
Underfull \hbox (badness 10000) in paragraph at lines 93980--93982
[]\T1/qtm/m/n/10 Added new meth-ods to the class [][]\T1/txtt/m/sl/10 Notebook[
][] \T1/qtm/m/n/10 which in-cludes [][]\T1/txtt/m/sl/10 Notebook.run[][] \T1/qt
m/m/n/10 and [][]\T1/txtt/m/sl/10 Notebook.
[1021]
Underfull \hbox (badness 10000) in paragraph at lines 94067--94073
\T1/txtt/m/sl/10 create_for_external[][] \T1/qtm/m/n/10 to cre-ate a new reg-is
-tered model ver-sion from an ex-ter-nal model.

Underfull \hbox (badness 10000) in paragraph at lines 94067--94073
[][]\T1/txtt/m/sl/10 RegisteredModelVersion.list_associated_deployments[][] \T1
/qtm/m/n/10 to list de-ploy-ments as-so-ci-ated with

Underfull \hbox (badness 7362) in paragraph at lines 94067--94073
\T1/qtm/m/n/10 a reg-is-tered model ver-sion. [][]\T1/txtt/m/sl/10 RegisteredMo
delVersion.create_for_leaderboard_item[][] \T1/qtm/m/n/10 to cre-

Underfull \hbox (badness 10000) in paragraph at lines 94067--94073
\T1/qtm/m/n/10 ate a new reg-is-tered model ver-sion from a Leader-board model.
 [][]\T1/txtt/m/sl/10 RegisteredModelVersion.

Overfull \hbox (132.07492pt too wide) in paragraph at lines 94110--94112
[]\T1/qtm/m/n/10 Added method meth:\T1/qtm/m/it/10 Deployment.get_predictions_v
s_actuals_over_time <datarobot.models.Deployment.get_predictions_vs_actuals_ove
r_time>
[1022]
Underfull \hbox (badness 10000) in paragraph at lines 94145--94147
\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
[1023]
Underfull \hbox (badness 10000) in paragraph at lines 94250--94256
\T1/txtt/m/sl/10 run[][] [][]BatchMonitoringJob.get_status[][] [][]BatchMonitor
ingJob.cancel[][] [][]BatchMonitoringJob.

Underfull \hbox (badness 7888) in paragraph at lines 94282--94284
[]\T1/qtm/m/n/10 Added [][]\T1/txtt/m/sl/10 DatetimePartitioningId[][]\T1/qtm/m
/n/10 , which can be passed as a \T1/qtm/m/it/10 par-ti-tion-ing_method \T1/qtm
/m/n/10 to [][]\T1/txtt/m/sl/10 Project.

Underfull \hbox (badness 10000) in paragraph at lines 94316--94325
\T1/qtm/m/n/10 and run_once [][]\T1/txtt/m/sl/10 BatchMonitoringJobDefinition.l
ist[][] [][]BatchMonitoringJobDefinition.

Underfull \hbox (badness 10000) in paragraph at lines 94316--94325
\T1/txtt/m/sl/10 get[][] [][]BatchMonitoringJobDefinition.create[][] [][]BatchM
onitoringJobDefinition.update[][]

Underfull \hbox (badness 10000) in paragraph at lines 94316--94325
[][]\T1/txtt/m/sl/10 BatchMonitoringJobDefinition.delete[][] [][]BatchMonitorin
gJobDefinition.run_on_schedule[][]
[1024]
Underfull \hbox (badness 10000) in paragraph at lines 94338--94351
\T1/txtt/m/sl/10 create_from_url[][] [][]Dataset.create_from_data_source[][] []
[]Dataset.create_from_query_generator[][]

Underfull \hbox (badness 10000) in paragraph at lines 94338--94351
[][]\T1/txtt/m/sl/10 Dataset.create_project[][] [][]Project.create[][] [][]Proj
ect.create_from_data_source[][] [][]Project.

Underfull \hbox (badness 10000) in paragraph at lines 94338--94351
\T1/txtt/m/sl/10 create_from_dataset[][] [][]Project.create_segmented_project_f
rom_clustering_model[][] [][]Project.

Underfull \hbox (badness 10000) in paragraph at lines 94387--94389
[]\T1/qtm/m/n/10 If the user con-fig-ures the client via env vars, then set the
 env var

Overfull \hbox (38.23495pt too wide) in paragraph at lines 94396--94398
[]\T1/qtm/m/n/10 Added method meth:\T1/qtm/m/it/10 Deployment.get_predictions_o
ver_time <datarobot.models.Deployment.get_predictions_over_time>
[1025]
Underfull \hbox (badness 10000) in paragraph at lines 94438--94453
\T1/txtt/m/sl/10 request_feature_effect[][] [][]Model.get_or_request_feature_ef
fect[][] [][]Model.get_lift_chart[][]

Underfull \hbox (badness 10000) in paragraph at lines 94438--94453
[][]\T1/txtt/m/sl/10 Model.get_all_lift_charts[][] [][]Model.get_residuals_char
t[][] [][]Model.get_all_residuals_charts[][]

Underfull \hbox (badness 10000) in paragraph at lines 94438--94453
[][]\T1/txtt/m/sl/10 Model.request_lift_chart[][] [][]Model.request_residuals_c
hart[][] [][]Model.get_roc_curve[][] [][]Model.

Underfull \hbox (badness 10000) in paragraph at lines 94483--94485
[]\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 94507--94509
\T1/txtt/m/sl/10 PredictionExplanations.get_all_as_dataframe()[][] \T1/qtm/m/n/
10 and [][]\T1/txtt/m/sl/10 datarobot.PredictionExplanations.
[1026]
Underfull \hbox (badness 10000) in paragraph at lines 94621--94623
[]\T1/qtm/m/n/10 The sliced in-sight API end-point \T1/qtm/m/it/10 GET: api/v2/
insights/<insight_name>/ \T1/qtm/m/n/10 re-turns a pag-i-nated re-

Underfull \hbox (badness 10000) in paragraph at lines 94635--94638
[]\T1/txtt/m/n/10 DatetimeModel.get_feature_fit_metadata \T1/qtm/m/n/10 has bee
n re-moved. Use [][]\T1/txtt/m/sl/10 DatetimeModel.

Underfull \hbox (badness 10000) in paragraph at lines 94645--94648
[]\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 94660--94663
[]\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 94665--94668
[]\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.
[1027]
Underfull \hbox (badness 10000) in paragraph at lines 94675--94678
[]\T1/qtm/m/n/10 Dep-re-cated the fol-low-ing meth-ods for re-triev-ing [][]\T1
/txtt/m/sl/10 SharingAccess[][] \T1/qtm/m/n/10 in-for-ma-tion. - [][]\T1/txtt/m
/sl/10 DataStore.
[1028]
Underfull \hbox (badness 10000) in paragraph at lines 94817--94821
[]\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 94817--94821
[][]\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 94823--94828
[]\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 94823--94828
[][]\T1/txtt/m/sl/10 DataEngineQueryGenerator.prepare_prediction_dataset_from_c
atalog[][] \T1/qtm/m/n/10 that ap-ply time se-ries

Underfull \hbox (badness 10000) in paragraph at lines 94854--94858
[]\T1/qtm/m/n/10 Added two new meth-ods to the Im-ageAug-men-ta-tion-List class
: [][]\T1/txtt/m/sl/10 ImageAugmentationList.list[][]\T1/qtm/m/n/10 ,
[1029] [1030] [1031] [1032]
Underfull \hbox (badness 10000) in paragraph at lines 95194--95197
[]\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 95199--95201
[]\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 95282--95284
[][][]\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 95286--95288
[][][]\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
[1033]
Underfull \hbox (badness 6364) in paragraph at lines 95318--95320
[]\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.

Underfull \hbox (badness 10000) in paragraph at lines 95370--95375
[]\T1/qtm/m/n/10 Added ex-per-i-men-tal sup-port to re-trieve doc-u-ment text e
x-trac-tion sam-ples us-

Underfull \hbox (badness 10000) in paragraph at lines 95370--95375
\T1/qtm/m/n/10 ing: - [][]\T1/txtt/m/sl/10 DocumentTextExtractionSample[][] \T1
/qtm/m/n/10 - [][]\T1/txtt/m/sl/10 DocumentTextExtractionSamplePage[][] \T1/qtm
/m/n/10 -
[1034]
Underfull \hbox (badness 10000) in paragraph at lines 95412--95419
[]\T1/qtm/m/n/10 Added sup-port to pass cal-cu-la-tion mode to pre-dic-tion ex-
pla-na-tions (\T1/qtm/m/it/10 mode \T1/qtm/m/n/10 pa-ram-e-ter in

Underfull \hbox (badness 10000) in paragraph at lines 95463--95476
\T1/qtm/m/n/10 - [][]\T1/txtt/m/sl/10 Project.apply_bias_mitigation[][] \T1/qtm
/m/n/10 - [][]\T1/txtt/m/sl/10 Project.request_bias_mitigation_feature_info[][]


Underfull \hbox (badness 10000) in paragraph at lines 95463--95476
\T1/qtm/m/n/10 - [][]\T1/txtt/m/sl/10 Project.get_bias_mitigation_feature_info[
][] \T1/qtm/m/n/10 and by adding new bias mit-

Underfull \hbox (badness 10000) in paragraph at lines 95463--95476
\T1/qtm/m/n/10 i-ga-tion params - bias_mitigation_feature_name - bias_mitigatio
n_technique - in-

Underfull \hbox (badness 10000) in paragraph at lines 95463--95476
\T1/qtm/m/n/10 clude_bias_mitigation_feature_as_predictor_variable to the ex-is
t-ing method - [][]\T1/txtt/m/sl/10 Project.start[][] \T1/qtm/m/n/10 and

Underfull \hbox (badness 7256) in paragraph at lines 95463--95476
\T1/qtm/m/n/10 by adding this enum to sup-ply params to some of the above func-
tion-al-ity \T1/txtt/m/n/10 datarobot.enums.
[1035]
Underfull \hbox (badness 10000) in paragraph at lines 95589--95591
[]\T1/qtm/m/n/10 Up-date the doc-u-men-ta-tion to sug-gest that \T1/qtm/m/it/10
 fea-ture_derivation_window_end \T1/qtm/m/n/10 of [][]\T1/txtt/m/sl/10 datarobo
t.

Underfull \hbox (badness 10000) in paragraph at lines 95607--95610
[]\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
[1036] [1037]
Underfull \hbox (badness 10000) in paragraph at lines 95833--95835
[]\T1/txtt/m/n/10 DatetimeModel.get_feature_fit <datarobot.models.DatetimeModel
.

Underfull \hbox (badness 10000) in paragraph at lines 95859--95862
[]\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 ,
[1038]
Underfull \hbox (badness 6268) in paragraph at lines 95960--95963
[]\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.
[1039]
Underfull \hbox (badness 10000) in paragraph at lines 95995--95999
[]\T1/qtm/m/n/10 Added the abil-ity to con-trol class map-ping ag-gre-ga-tion i
n mul-ti-class projects via

Underfull \hbox (badness 10000) in paragraph at lines 96005--96013
[]\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 96005--96013
\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 96005--96013
\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 96005--96013
\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 96005--96013
\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 96005--96013
[][]\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.
[1040]
Underfull \hbox (badness 10000) in paragraph at lines 96155--96158
[]\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
[1041]
Underfull \hbox (badness 10000) in paragraph at lines 96231--96234
[]\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.
[1042] [1043]
Underfull \hbox (badness 10000) in paragraph at lines 96472--96475
[]\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 96477--96480
[]\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.
[1044]
Underfull \hbox (badness 7907) in paragraph at lines 96648--96653
[]\T1/qtm/m/n/10 Sup-port for Batch Pre-dic-tion Job Def-i-ni-tions has now bee
n added through the fol-low-ing class:

Underfull \hbox (badness 10000) in paragraph at lines 96690--96693
[]\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.
[1045]
Underfull \hbox (badness 10000) in paragraph at lines 96766--96771
[]\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 96766--96771
\T1/qtm/m/n/10 ing the \T1/txtt/m/n/10 allow_partial_history_time_series_predic
tions \T1/qtm/m/n/10 at-tribute of the [][]\T1/txtt/m/sl/10 datarobot.

Underfull \hbox (badness 10000) in paragraph at lines 96791--96799
[][]\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 96791--96799
\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.
[1046]
Underfull \hbox (badness 10000) in paragraph at lines 96862--96865
[]\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 96867--96873
[]\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 96867--96873
\T1/txtt/m/sl/10 FeatureAssociationMatrixDetails[][] \T1/qtm/m/n/10 and [][]\T1
/txtt/m/sl/10 datarobot.models.FeatureAssociationFeaturelists[][]

Underfull \hbox (badness 7168) in paragraph at lines 96892--96895
[]\T1/qtm/m/n/10 Re-move \T1/qtm/m/it/10 de-sired_memory \T1/qtm/m/n/10 param f
rom the fol-low-ing classes: [][]\T1/txtt/m/sl/10 datarobot.CustomInferenceMode
l[][]\T1/qtm/m/n/10 ,

Underfull \hbox (badness 10000) in paragraph at lines 96897--96904
[]\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 96897--96904
\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 ,
[1047]
Underfull \hbox (badness 8170) in paragraph at lines 97028--97031
[]\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
[1048]
Underfull \hbox (badness 10000) in paragraph at lines 97116--97121
[]\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 97141--97143
[]\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.
[1049]
Underfull \hbox (badness 10000) in paragraph at lines 97263--97266
[]\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:
[1050] [1051]
Underfull \hbox (badness 10000) in paragraph at lines 97406--97415
[]\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 97417--97424
[]\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.
[1052]
Underfull \hbox (badness 10000) in paragraph at lines 97617--97621
[]\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
[1053]
Underfull \hbox (badness 8132) in paragraph at lines 97655--97660
[]\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 97675--97679
[]\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 97675--97679
[][]\T1/txtt/m/sl/10 SecondaryDatasetConfigurations.delete[][] \T1/qtm/m/n/10 s
oft deletes a Sec-ondary dataset con-fig-u-ra-tion.
[1054] [1055]
Underfull \hbox (badness 10000) in paragraph at lines 97945--97949
[]\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.
[1056]
Underfull \hbox (badness 10000) in paragraph at lines 98013--98017
[]\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 98013--98017
[][]\T1/txtt/m/sl/10 Deployment.get_prediction_intervals_settings[][] \T1/qtm/m
/n/10 and [][]\T1/txtt/m/sl/10 Deployment.

Underfull \hbox (badness 10000) in paragraph at lines 98066--98069
[]\T1/qtm/m/n/10 It's now pos-si-ble to get fea-ture as-so-ci-a-tion sta-tuses 
for fea-turelists us-ing [][]\T1/txtt/m/sl/10 Project.

Underfull \hbox (badness 7925) in paragraph at lines 98103--98105
[]\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 98111--98116
[]\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
[1057] [1058]
Underfull \hbox (badness 10000) in paragraph at lines 98193--98195
[]\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 98193--98195
\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
[1059] [1060] [1061]
Underfull \hbox (badness 10000) in paragraph at lines 98483--98492
[]\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 98483--98492
[][]\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 98522--98524
[][][]\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
[1062]
Underfull \hbox (badness 10000) in paragraph at lines 98644--98647
[]\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 98663--98668
[]\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 98663--98668
\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.
[1063]
Underfull \hbox (badness 10000) in paragraph at lines 98694--98698
[]\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 98725--98729
[]\T1/qtm/m/n/10 Train-ing pre-dic-tions for date-time par-ti-tioned projects n
ow sup-port the new data sub-set
[1064]
Underfull \hbox (badness 10000) in paragraph at lines 98784--98792
[]\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 98784--98792
\T1/txtt/m/sl/10 get_advanced_tuning_parameters[][]\T1/qtm/m/n/10 , [][]\T1/txt
t/m/sl/10 Model.advanced_tune[][]\T1/qtm/m/n/10 , and [][]\T1/txtt/m/sl/10 Adva
ncedTuningSession[][]\T1/qtm/m/n/10 , were

Underfull \hbox (badness 10000) in paragraph at lines 98807--98810
[]\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 98817--98819
[]\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 98859--98863
[][][]\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.
[1065]
Underfull \hbox (badness 10000) in paragraph at lines 98976--98980
[]\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 98976--98980
\T1/txtt/m/sl/10 DatetimePartitioning.feature_log_list()[][] \T1/qtm/m/n/10 and
 [][]\T1/txtt/m/sl/10 datarobot.DatetimePartitioning.
[1066] [1067] [1068] [1069] [1070] [1071] [1072] [1073] [1074] [1075] [1076]
[1077] [1078]
Underfull \hbox (badness 6016) in paragraph at lines 100170--100174
[]\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 100190--100195
[]\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
[1079]
Underfull \hbox (badness 10000) in paragraph at lines 100261--100264
[]\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
[1080] [1081] [1082] [1083] [1084] (./datarobot-public-api-client.ind [1085]
[1086] [1087]
Underfull \hbox (badness 5548) in paragraph at lines 107--109
[]\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 109--111
[]\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 ),
[1088] [1089]
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[]\T1/txtt/m/n/10 create() \T1/qtm/m/n/10 (\T1/qtm/m/it/10 datarobot._experimen
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 []\T1/qtm/m/n/10 1008
) [1] [2] [1] [2]
Chapter 1.
[3] [4]
Chapter 2.
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[][][]\T1/txtt/m/sl/10 Dataset.create_from_url[][] \T1/qtm/m/n/10 takes .csv da
ta from a URL. If you have set

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[][][]\T1/txtt/m/sl/10 Dataset.create_from_data_source[][] \T1/qtm/m/n/10 takes
 data from a data source. If you have set
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[]\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
[37]
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[]\T1/qtm/m/n/10 Just as with the lift and ROC charts, you can use \T1/txtt/m/n
/10 Model \T1/qtm/m/n/10 meth-ods \T1/txtt/m/n/10 get_residuals_chart \T1/qtm/m
/n/10 and
[38] [39] [40] [41] [42] [43] [44] [45]
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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.
[46]
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\T1/qtm/m/n/10 and \T1/txtt/m/n/10 validation_start_date\T1/qtm/m/n/10 . Us-ing
 the same date for both \T1/txtt/m/n/10 primary_training_end_date \T1/qtm/m/n/1
0 and

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[]\T1/qtm/m/n/10 For date-time par-ti-tioned model you can re-trieve the Ac-cu-
racy 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
[47] [48] [49] [50] [51] [52]
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[]\T1/qtm/m/n/10 Enough rows of his-tor-i-cal data must be pro-vided to cover t
he span of the ef-fec-tive Fea-ture Deriva-

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[]\T1/qtm/m/n/10 Pre-dic-tion in-ter-vals can be cal-cu-lated for a [][]\T1/txt
t/m/sl/10 DatetimeModel[][] \T1/qtm/m/n/10 us-ing the [][]\T1/txtt/m/sl/10 Date
timeModel.
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[]\T1/qtm/m/n/10 1. Up-load a pre-dic-tion dataset, spec-i-fy-ing \T1/txtt/m/n/
10 predictions_start_date\T1/qtm/m/n/10 , \T1/txtt/m/n/10 predictions_end_date\
T1/qtm/m/n/10 , and
[72]
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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
[73] [74] [75] [76] [77] [78] [79] [80] [81]

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[]\T1/txtt/m/n/10 PredictionExplanations.get_all_as_dataframe() \T1/qtm/m/n/10 
and \T1/txtt/m/n/10 PredictionExplanations.
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[]\T1/qtm/m/n/10 If you just want to get gen-er-ated pre-dic-tions from a Pre-d
ic-tJob, you can use the \T1/txtt/m/n/10 PredictJob.
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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 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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[]\T1/qtm/m/n/10 When cre-at-ing a new de-ploy-ment, a DataRobot \T1/txtt/m/n/1
0 registered_model_version_id\TS1/txtt/m/n/10 ``\T1/txtt/m/n/10 (also known as
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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 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 cus-tom_model.update(is_training_data_for_versions_permanently
_enabled=True) cus-
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[]\T1/qtm/m/n/10 To cre-ate a hosted cus-tom met-ric job from gallery tem-plate
, use \T1/qtm/m/it/10 dr.registry.Job.create_from_custom_metric_gallery_templat
e\T1/qtm/m/n/10 ,
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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
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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
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\T1/qtm/m/it/10 ber_of_incremental_learning_iterations_before_best_model_select
ion=None\T1/qtm/m/n/10 , 
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\T1/qtm/m/n/10 (New in ver-sion v2.23) one of \T1/txtt/m/n/10 datarobot.enums.
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\T1/qtm/m/n/10 (New in ver-sion v2.24) Met-ric to use for cal-cu-lat-ing fair-

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\T1/qtm/m/n/10 ness. Can be one of \T1/txtt/m/n/10 proportionalParity\T1/qtm/m/
n/10 , \T1/txtt/m/n/10 equalParity\T1/qtm/m/n/10 ,

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\T1/txtt/m/n/10 predictionBalance\T1/qtm/m/n/10 , \T1/txtt/m/n/10 trueFavorable
AndUnfavorableRateParity \T1/qtm/m/n/10 or
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\T1/qtm/m/it/10 **record_kwargs\T1/txtt/m/n/10 )|  
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\T1/qtm/m/n/10 [string] The URL for the pre-dic-tion dataset (e.g.:

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\T1/qtm/m/n/10 [string] The URL for the scored dataset (e.g.: \T1/qtm/m/it/10 h
ttps://storage_account.blob.endpoint/container/blob_name\T1/qtm/m/n/10 ) 
[253]
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\T1/qtm/m/n/10 [string] The URL for the pre-dic-tion dataset (e.g.:

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\T1/qtm/m/n/10 [string] The URL for the scored dataset (e.g.: \T1/qtm/m/it/10 h
ttp(s)://storage.googleapis.com/[bucket]/[object]\T1/qtm/m/n/10 ) 
[254]
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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/qtm/m/it/10 tinue_on_error=False\T1/qtm/m/n/10 , 
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\T1/qtm/m/it/10 tinue_on_error=False\T1/qtm/m/n/10 , 

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

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\T1/qtm/m/it/10 tered_model_version\T1/qtm/m/n/10 , 

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\T1/qtm/m/it/10 model_execution_type\T1/qtm/m/n/10 , 

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\T1/qtm/m/it/10 model_description\T1/qtm/m/n/10 , 

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\T1/qtm/m/it/10 bias_and_fairness=None\T1/qtm/m/n/10 , 

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\T1/qtm/m/it/10 build_status=None\T1/qtm/m/n/10 , 

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\T1/qtm/m/it/10 user_provided_id=None\T1/qtm/m/n/10 , 

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\T1/qtm/m/it/10 dated_at=None\T1/qtm/m/n/10 , 

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\T1/qtm/m/it/10 dated_by=None\T1/qtm/m/n/10 , 

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\T1/qtm/m/it/10 mlpkg_file_contents=None\T1/txtt/m/n/10 )|  
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\T1/qtm/m/it/10 ment_attribute=None\T1/qtm/m/n/10 , 

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\T1/qtm/m/it/10 ment_value=None\T1/txtt/m/n/10 )|  
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\T1/qtm/m/it/10 ment_attribute=None\T1/qtm/m/n/10 , 

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\T1/qtm/m/it/10 ment_value=None\T1/txtt/m/n/10 )|  
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\T1/qtm/m/it/10 tom_metric_metadata\T1/qtm/m/n/10 , 

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\T1/qtm/m/it/10 fault_environment\T1/qtm/m/n/10 , 

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\T1/qtm/m/it/10 plate_metric_type\T1/txtt/m/n/10 )|  
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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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\T1/qtm/m/it/10 is_model_specific\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.ANOMALY\T1/qtm/m/n/10 ,

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\T1/qtm/m/n/10 Tar-get fea-ture name. It is op-tional(ignored if pro-vided) for


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\T1/qtm/m/it/10 datarobot.TARGET_TYPE.UNSTRUCTURED \T1/qtm/m/n/10 or \T1/qtm/m/
it/10 datarobot.TARGET_TYPE.ANOMALY
[329]
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\T1/qtm/m/n/10 De-ter-mines whether the given cus-tom model is iso-lated, or ca
n 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 ,
[330]
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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 ] 

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\T1/qtm/m/n/10 De-ter-mines whether the given cus-tom model is iso-lated, or ca
n 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 the type of the im-age, ei-ther CUS-TOM_MODEL_IMAGE_TYPE.CUSTOM_
MODEL_IMAGE

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\T1/qtm/m/n/10 if the test-ing at-tempt is us-ing a Cus-tom-Mod-e-lIm-age as it
s model or CUS-
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\T1/qtm/m/n/10 De-ter-mines whether the given cus-tom model is iso-lated, or ca
n 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 De-ter-mines whether the given cus-tom model is iso-lated, or ca
n 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 De-ter-mines whether the given cus-tom model is iso-lated, or ca
n 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 ,
[338]
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\T1/qtm/m/n/10 The base en-vi-ron-ment to use with this model ver-sion. At leas
t one of

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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
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\T1/qtm/m/n/10 De-ter-mines whether the given cus-tom model is iso-lated, or ca
n 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 The base en-vi-ron-ment to use with this model ver-sion. At leas
t one of

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\T1/qtm/m/n/10 will be used for tu-ples Ex-am-ple: [(^^P/home/user/Documents/my
Model/file1.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/qtm/m/n/10 De-ter-mines whether the given cus-tom model is iso-lated, or ca
n 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 Get lat-est cus-tom model ver-sion con-ver-sion for a given cus-
tom model ver-sion. :rtype:
[348]
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\T1/qtm/m/n/10 Get cus-tom model ver-sion con-ver-sions list per cus-tom model 
ver-sion. :rtype:

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\T1/qtm/m/n/10 Re-trieve in-for-ma-tion about a cus-tom model ver-sion's de-pen
-dency build :rtype:
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\T1/qtm/m/n/10 Start the de-pen-dency build for a cus-tom model ver-sion de-pen
-dency build :rtype:
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\T1/qtm/m/n/10 build sta-tus of the ex-e-cu-tion en-vi-ron-ment ver-sion to fil
-ter by. See

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\T1/qtm/m/n/10 datarobot.enums.EXECUTION_ENVIRONMENT_VERSION_BUILD_STATUS
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\T1/qtm/m/n/10 whether anomaly pre-dic-tions should be cal-i-brated to be be-tw
een 0

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\T1/qtm/m/n/10 and 1 by DR. only ap-plies to cus-tom es-ti-ma-tors with tar-get
 type
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\T1/qtm/m/it/10 only_matched_predictions=None\T1/qtm/m/n/10 , 
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\T1/qtm/m/n/10 [str] Op-tional. The full JDBC URL (for ex-am-ple:
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\T1/qtm/m/n/10 [str] Op-tional. The iden-ti-fier of the Con-nec-tor. if the typ
e is Data-S-tore-

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\T1/qtm/m/n/10 [str] Op-tional. The full JDBC URL (for ex-am-ple:
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\T1/qtm/m/n/10 SCHEMA . TABLE _ NAME$[][]' - `[][]$jdbc : DATA _ SOURCE _ GIVEN
 _ NAME$[][]/<query>' - for
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\T1/qtm/m/n/10 The res-o-lu-tion that is used for bin-ning. One of \T1/txtt/m/n
/10 datarobot.enums.
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\T1/qtm/m/n/10 The res-o-lu-tion that is used for bin-ning. One of \T1/txtt/m/n
/10 datarobot.enums.
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\T1/qtm/m/n/10 The res-o-lu-tion that is used for bin-ning. One of \T1/txtt/m/n
/10 datarobot.enums.
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\T1/qtm/m/n/10 [list] To cre-ate or up-date ex-ist-ing seg-ment anal-y-sis at-t
ributes, see
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\T1/qtm/m/n/10 [bool] If pre-dic-tions data col-lec-tion is en-abled for this d
e-ploy-

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\T1/qtm/m/n/10 ment. To up-date ex-ist-ing `'pre-dic-tions_data_collection'' se
t-tings, see
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\T1/qtm/m/n/10 [bool] If tar-get pre-dic-tion_warning is en-abled for this de-p
loy-ment.

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\T1/qtm/m/n/10 To cre-ate or up-date ex-ist-ing `'pre-dic-tion_warning'' set-ti
ngs, see
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\T1/qtm/m/n/10 Re-trieve drift in-for-ma-tion for de-ploy-ment's fea-tures over
 a cer-tain time pe-riod. :rtype:
[452]
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\T1/qtm/m/n/10 Re-trieve stats of de-ploy-ment's pre-dic-tion re-sponse over a 
cer-tain time pe-riod. :rtype:
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\T1/qtm/m/n/10 Re-trieve drift in-for-ma-tion for de-ploy-ment's fea-tures over
 a cer-tain time pe-riod. :rtype:
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\T1/qtm/m/it/10 tected_feature=None\T1/qtm/m/n/10 , 

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\T1/qtm/m/it/10 ness_threshold=None\T1/qtm/m/n/10 , 

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\T1/qtm/m/it/10 model_package_id=None\T1/qtm/m/n/10 , 

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\T1/qtm/m/it/10 able_target_outcome=None\T1/txtt/m/n/10 )|  
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[]\T1/qtm/m/it/10 document_index\T1/qtm/m/n/10 , 

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\T1/qtm/m/it/10 tual_target_value=None\T1/qtm/m/n/10 , 
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\T1/qtm/m/it/10 ment_page_width\T1/qtm/m/n/10 , 

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\T1/qtm/m/it/10 ment_page_height\T1/qtm/m/n/10 , 

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\T1/qtm/m/it/10 tual_target_value=None\T1/qtm/m/n/10 , 
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[]\T1/qtm/m/it/10 baseline_validation_job_id\T1/qtm/m/n/10 , 

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\T1/qtm/m/it/10 project_id\T1/qtm/m/n/10 , 

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\T1/qtm/m/it/10 log_version_id\T1/qtm/m/n/10 , 

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\T1/qtm/m/it/10 time_partition_column\T1/qtm/m/n/10 , 

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\T1/qtm/m/it/10 is_external_baseline_dataset_valid\T1/qtm/m/n/10 , 

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\T1/qtm/m/it/10 series_id_columns=None\T1/qtm/m/n/10 , 

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\T1/qtm/m/it/10 out_start_date=None\T1/qtm/m/n/10 , 

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\T1/qtm/m/it/10 out_end_date=None\T1/qtm/m/n/10 , 

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\T1/qtm/m/it/10 tests=None\T1/qtm/m/n/10 , 

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\T1/qtm/m/it/10 cast_window_start=None\T1/qtm/m/n/10 , 

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\T1/qtm/m/it/10 cast_window_end=None\T1/qtm/m/n/10 , 

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\T1/qtm/m/it/10 sage=None\T1/txtt/m/n/10 )|  
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[]\T1/qtm/m/n/10 {`key':'DataRobot', `sum-mary':{`min':0, `max':29815.0, `std-D
ev':6498.029,
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[]\T1/qtm/m/n/10 {`key':'DataRobot', `sum-mary':{`min':0, `max':29815.0, `std-D
ev':6498.029,
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Underfull \hbox (badness 10000) in paragraph at lines 42023--42026
[]\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 ,
[502]
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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/qtm/m/n/10 [list(dict)] List of con-di-tional prob-a-bil-ity val-ues with a
 schema de-scribed as

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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 [enums.FEATURE_ASSOCIATION_METRIC] The name of a met-ric to

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\T1/qtm/m/n/10 get pair-wise data for. Since `v2.19' this is op-tional and de-f
aults to

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\T1/qtm/m/n/10 [enums.FEATURE_ASSOCIATION_TYPE] The type of de-pen-

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\T1/qtm/m/n/10 dence for the data. Since `v2.19' this is op-tional and de-fault
s to
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[]\T1/qtm/m/it/10 ff_metadata_datetime_per_backtest\T1/txtt/m/n/10 )|  
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\T1/qtm/m/it/10 prompt_column_name\T1/qtm/m/n/10 , 
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\T1/qtm/m/it/10 prompt_column_name\T1/qtm/m/n/10 , 

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\T1/qtm/m/it/10 get_column_name\T1/qtm/m/n/10 , 

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\T1/qtm/m/it/10 model_id\T1/qtm/m/n/10 , 

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\T1/qtm/m/it/10 tion_status\T1/qtm/m/n/10 , 

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\T1/qtm/m/it/10 ment_access_data\T1/qtm/m/n/10 , 

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\T1/qtm/m/it/10 ation_date\T1/qtm/m/n/10 , 

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\T1/qtm/m/it/10 ror_message\T1/qtm/m/n/10 , 

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\T1/qtm/m/it/10 ment_name\T1/qtm/m/n/10 , 

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\T1/qtm/m/it/10 user_name\T1/qtm/m/n/10 , 

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\T1/qtm/m/it/10 use_case_id\T1/qtm/m/n/10 , 

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\T1/qtm/m/it/10 tion_timeout\T1/txtt/m/n/10 )|  
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\T1/qtm/m/it/10 prompt_column_name\T1/qtm/m/n/10 , 

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\T1/qtm/m/it/10 get_column_name\T1/qtm/m/n/10 , 

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\T1/qtm/m/it/10 tion_status\T1/qtm/m/n/10 , 

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\T1/qtm/m/it/10 ment_access_data\T1/qtm/m/n/10 , 

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\T1/qtm/m/it/10 ation_date\T1/qtm/m/n/10 , 

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\T1/qtm/m/it/10 ror_message\T1/qtm/m/n/10 , 

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\T1/qtm/m/it/10 ment_name\T1/qtm/m/n/10 , 

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\T1/qtm/m/it/10 user_name\T1/qtm/m/n/10 , 

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\T1/qtm/m/it/10 use_case_id\T1/qtm/m/n/10 , 

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\T1/qtm/m/it/10 tion_timeout\T1/txtt/m/n/10 )|  
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\T1/qtm/m/n/10 keys: \T1/txtt/m/n/10 featureName\T1/qtm/m/n/10 , \T1/txtt/m/n/1
0 impactNormalized\T1/qtm/m/n/10 , and \T1/txtt/m/n/10 impactUnnormalized\T1/qt
m/m/n/10 , and
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[]\T1/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 52011--52016
[][]\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
[595] [596] [597] [598] [599] [600]
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\T1/qtm/m/n/10 of fea-tures with a mono-ton-i-cally de-creas-ing re-la-tion-shi
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\T1/qtm/m/n/10 ing \T1/txtt/m/n/10 None \T1/qtm/m/n/10 dis-ables de-creas-ing m
ono-tonic-ity con-straint. De-fault (\T1/txtt/m/n/10 dr.enums.
[601]
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[]\T1/qtm/m/n/10 All du-ra-tions should be spec-i-fied with a du-ra-tion string
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[][]\T1/txtt/m/sl/10 partitioning_methods.construct_duration_string[][] \T1/qtm
/m/n/10 helper method. Please see [][]\T1/qtm/m/it/10 date-time
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\T1/qtm/m/n/10 keys: \T1/txtt/m/n/10 featureName\T1/qtm/m/n/10 , \T1/txtt/m/n/1
0 impactNormalized\T1/qtm/m/n/10 , and \T1/txtt/m/n/10 impactUnnormalized\T1/qt
m/m/n/10 , and
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\T1/qtm/m/n/10 keys: \T1/txtt/m/n/10 featureName\T1/qtm/m/n/10 , \T1/txtt/m/n/1
0 impactNormalized\T1/qtm/m/n/10 , and \T1/txtt/m/n/10 impactUnnormalized\T1/qt
m/m/n/10 , and
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[]\T1/qtm/m/n/10 All du-ra-tions should be spec-i-fied with a du-ra-tion string
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[][]\T1/txtt/m/sl/10 partitioning_methods.construct_duration_string[][] \T1/qtm
/m/n/10 helper method. Please see [][]\T1/qtm/m/it/10 date-time
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\T1/qtm/m/n/10 of fea-tures with a mono-ton-i-cally de-creas-ing re-la-tion-shi
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\T1/qtm/m/n/10 ing \T1/txtt/m/n/10 None \T1/qtm/m/n/10 dis-ables de-creas-ing m
ono-tonic-ity con-straint. De-fault (\T1/txtt/m/n/10 dr.enums.
[661]
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[]\T1/qtm/m/n/10 All du-ra-tions should be spec-i-fied with a du-ra-tion string
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[][]\T1/txtt/m/sl/10 partitioning_methods.construct_duration_string[][] \T1/qtm
/m/n/10 helper method. Please see [][]\T1/qtm/m/it/10 date-time
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\T1/qtm/m/n/10 of the \T1/txtt/m/n/10 windows_basis_unit \T1/qtm/m/n/10 into th
e past rel-a-tive to the fore-cast point the

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\T1/txtt/m/n/10 feature_derivation_window_start \T1/qtm/m/n/10 set on the proje
ct due to the dif-fer-enc-ing
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[]\T1/qtm/m/n/10 All du-ra-tions should be spec-i-fied with a du-ra-tion string
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[][]\T1/txtt/m/sl/10 partitioning_methods.construct_duration_string[][] \T1/qtm
/m/n/10 helper method. Please see [][]\T1/qtm/m/it/10 date-time
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\T1/qtm/m/n/10 [AnomalyOverTimePlotPreview] a [][]\T1/txtt/m/sl/10 AnomalyOverT
imePlotPreview[][] \T1/qtm/m/n/10 rep-re-sent-ing
[681]
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\T1/qtm/m/n/10 [list of Anoma-lyAssess-men-tRecord] a [][]\T1/txtt/m/sl/10 Anom
alyAssessmentRecord[][] \T1/qtm/m/n/10 rep-re-sent-ing
[682]
Underfull \hbox (badness 5359) in paragraph at lines 61030--61033
\T1/qtm/m/n/10 keys: \T1/txtt/m/n/10 featureName\T1/qtm/m/n/10 , \T1/txtt/m/n/1
0 impactNormalized\T1/qtm/m/n/10 , and \T1/txtt/m/n/10 impactUnnormalized\T1/qt
m/m/n/10 , and
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\T1/qtm/m/n/10 [str] (Dep-re-cated in ver-sion v3.4) Lift chart data source. Ch
eck

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\T1/qtm/m/n/10 [str] (Dep-re-cated in ver-sion v3.4) Lift chart data source. Ch
eck
[685]
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\T1/qtm/m/n/10 [str] (Dep-re-cated in ver-sion v3.4) Roc Curve data source. Che
ck

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\T1/qtm/m/n/10 [str] (Dep-re-cated in ver-sion v3.4) ROC curve data source. Che
ck
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[]\T1/qtm/m/n/10 All du-ra-tions should be spec-i-fied with a du-ra-tion string
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[][]\T1/txtt/m/sl/10 partitioning_methods.construct_duration_string[][] \T1/qtm
/m/n/10 helper method. Please see [][]\T1/qtm/m/it/10 date-time
[701] [702] [703] [704]
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[]\T1/qtm/m/n/10 All du-ra-tions should be spec-i-fied with a du-ra-tion string
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[][]\T1/txtt/m/sl/10 partitioning_methods.construct_duration_string[][] \T1/qtm
/m/n/10 helper method. Please see [][]\T1/qtm/m/it/10 date-time
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\T1/qtm/m/n/10 keys: \T1/txtt/m/n/10 featureName\T1/qtm/m/n/10 , \T1/txtt/m/n/1
0 impactNormalized\T1/qtm/m/n/10 , and \T1/txtt/m/n/10 impactUnnormalized\T1/qt
m/m/n/10 , and
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 such as those re-turned by the

Underfull \hbox (badness 8075) in paragraph at lines 66202--66207
[][]\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
[732] [733] [734] [735] [736] [737] [738]
Underfull \hbox (badness 5592) in paragraph at lines 66827--66833
\T1/qtm/m/n/10 of fea-tures with a mono-ton-i-cally de-creas-ing re-la-tion-shi
p to the tar-get. Pass-

Underfull \hbox (badness 10000) in paragraph at lines 66827--66833
\T1/qtm/m/n/10 ing \T1/txtt/m/n/10 None \T1/qtm/m/n/10 dis-ables de-creas-ing m
ono-tonic-ity con-straint. De-fault (\T1/txtt/m/n/10 dr.enums.

Underfull \hbox (badness 10000) in paragraph at lines 66869--66874
[]\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 66869--66874
[][]\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
[739] [740] [741] [742] [743] [744]
Overfull \hbox (3.26418pt too wide) in paragraph at lines 67451--67451
\T1/qtm/m/it/10 low_partial_history_time_series_predictions=False\T1/qtm/m/n/10
 , 

Underfull \hbox (badness 10000) in paragraph at lines 67461--67464
[]\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 67471--67474
[]\T1/qtm/m/n/10 Note that ei-ther (\T1/txtt/m/n/10 holdout_start_date\T1/qtm/m
/n/10 , \T1/txtt/m/n/10 holdout_duration\T1/qtm/m/n/10 ) or (\T1/txtt/m/n/10 ho
ldout_start_date\T1/qtm/m/n/10 ,

Underfull \hbox (badness 10000) in paragraph at lines 67481--67485
\T1/qtm/m/n/10 [str] one of \T1/txtt/m/n/10 datarobot.enums.DATETIME_AUTOPILOT_
DATA_SELECTION_METHOD\T1/qtm/m/n/10 .
[745]
Underfull \hbox (badness 10000) in paragraph at lines 67490--67496
\T1/qtm/m/n/10 [datetime.datetime or None] The start date of hold-out scor-ing 
data. If
[746] [747] [748]
Underfull \hbox (badness 10000) in paragraph at lines 67762--67767
[]\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 ,
[749] [750] [751]
Underfull \hbox (badness 10000) in paragraph at lines 67977--67981
\T1/qtm/m/n/10 [str] one of \T1/txtt/m/n/10 datarobot.enums.DATETIME_AUTOPILOT_
DATA_SELECTION_METHOD\T1/qtm/m/n/10 .
[752] [753] [754] [755] [756] [757]
Underfull \hbox (badness 5563) in paragraph at lines 68585--68594
\T1/qtm/m/n/10 proach for spec-i-fy-ing back-tests (\T1/txtt/m/n/10 gap_duratio
n\T1/qtm/m/n/10 , \T1/txtt/m/n/10 validation_start_date\T1/qtm/m/n/10 , and
[758] [759]
Underfull \hbox (badness 10000) in paragraph at lines 68768--68771
[]\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 68768--68771
\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.
[760] [761]
Underfull \hbox (badness 10000) in paragraph at lines 68973--68982
\T1/qtm/m/n/10 [bool] De-fault \T1/txtt/m/n/10 False\T1/qtm/m/n/10 . If \T1/txt
t/m/n/10 False\T1/qtm/m/n/10 , will use a duration-based ap-proach

Underfull \hbox (badness 10000) in paragraph at lines 68973--68982
\T1/qtm/m/n/10 for spec-i-fy-ing back-tests (\T1/txtt/m/n/10 gap_duration\T1/qt
m/m/n/10 , \T1/txtt/m/n/10 validation_start_date\T1/qtm/m/n/10 , and

Underfull \hbox (badness 10000) in paragraph at lines 68973--68982
\T1/qtm/m/n/10 ing back-tests (\T1/txtt/m/n/10 primary_training_start_date\T1/q
tm/m/n/10 , \T1/txtt/m/n/10 primary_training_end_date\T1/qtm/m/n/10 ,
[762] [763] [764] [765] [766] [767] [768] [769] [770] [771] [772] [773]
[774] [775] [776]
Underfull \hbox (badness 10000) in paragraph at lines 70558--70561
[]\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 70563--70566
[]\T1/qtm/m/n/10 Com-pute pre-dic-tions for the model and dataset via \T1/txtt/
m/n/10 datarobot.Model.
[777]
Underfull \hbox (badness 6708) in paragraph at lines 70632--70638
\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 70632--70638
\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 70648--70651
[]\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 70653--70656
[]\T1/qtm/m/n/10 Com-pute pre-dic-tions for the model and dataset via \T1/txtt/
m/n/10 datarobot.Model.
[778] [779] [780]
Overfull \hbox (15.28386pt too wide) in paragraph at lines 71057--71057
\T1/qtm/m/it/10 tion_explanations=None\T1/qtm/m/n/10 , 

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\T1/qtm/m/it/10 justed_prediction=None\T1/qtm/m/n/10 , 

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\T1/qtm/m/it/10 justed_prediction_values=None\T1/txtt/m/n/10 )|  
[781]
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\T1/qtm/m/it/10 tion_explanations_record_location=None\T1/qtm/m/n/10 , 

Overfull \hbox (5.23384pt too wide) in paragraph at lines 71145--71145
\T1/qtm/m/it/10 ment_method=None\T1/txtt/m/n/10 )|  
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Underfull \hbox (badness 10000) in paragraph at lines 72923--72926
[]\T1/qtm/m/n/10 Project.list(search_params={`project_name': `red'}) >>> [Proje
ct(`Prediction Time'),
[801] [802] [803]
(/usr/share/texlive/texmf-dist/tex/latex/fontawesome5/ufontawesomefree2.fd)
[804]
Underfull \hbox (badness 10000) in paragraph at lines 73292--73295
\T1/qtm/m/n/10 [ClassMappingAggregationSettings, op-tional] In-stance of \T1/tx
tt/m/n/10 datarobot.helpers.
[805] [806] [807]
Underfull \hbox (badness 10000) in paragraph at lines 73515--73523
\T1/qtm/m/n/10 level: \T1/qtm/m/it/10 mono-tonic_increasing_featurelist_id\T1/q
tm/m/n/10 , \T1/qtm/m/it/10 mono-tonic_decreasing_featurelist_id\T1/qtm/m/n/10 
,

Underfull \hbox (badness 10000) in paragraph at lines 73515--73523
\T1/qtm/m/it/10 sup-ports_composable_ml \T1/qtm/m/n/10 and \T1/qtm/m/it/10 sup-
ports_monotonic_constraints\T1/qtm/m/n/10 . Fol-low-ing at-

Underfull \hbox (badness 10000) in paragraph at lines 73515--73523
\T1/qtm/m/n/10 tributes are ab-sent and could be re-trieved from the in-di-vid-
ual model level:

Underfull \hbox (badness 10000) in paragraph at lines 73515--73523
\T1/qtm/m/it/10 has_empty_clusters\T1/qtm/m/n/10 , \T1/qtm/m/it/10 is_n_cluster
s_dynamically_determined\T1/qtm/m/n/10 , \T1/qtm/m/it/10 pre-dic-tion_threshold

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Underfull \hbox (badness 10000) in paragraph at lines 73900--73903
\T1/qtm/m/n/10 Raised if \T1/txtt/m/n/10 forecast_point \T1/qtm/m/n/10 or \T1/t
xtt/m/n/10 predictions_start_date \T1/qtm/m/n/10 and
[812] [813] [814] [815] [816] [817] [818] [819] [820] [821] [822] [823]
[824] [825]
Underfull \hbox (badness 5592) in paragraph at lines 75253--75259
\T1/qtm/m/n/10 of fea-tures with a mono-ton-i-cally de-creas-ing re-la-tion-shi
p to the tar-get. Pass-

Underfull \hbox (badness 10000) in paragraph at lines 75253--75259
\T1/qtm/m/n/10 ing \T1/txtt/m/n/10 None \T1/qtm/m/n/10 dis-ables de-creas-ing m
ono-tonic-ity con-straint. De-fault (\T1/txtt/m/n/10 dr.enums.
[826]
Underfull \hbox (badness 10000) in paragraph at lines 75325--75330
[]\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 75325--75330
[][]\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
[827] [828] [829] [830] [831] [832] [833]
Underfull \hbox (badness 10000) in paragraph at lines 76097--76102
\T1/qtm/m/n/10 (New in ver-sion v2.23) one of \T1/txtt/m/n/10 datarobot.enums.

Underfull \hbox (badness 10000) in paragraph at lines 76097--76102
\T1/txtt/m/n/10 DATETIME_AUTOPILOT_DATA_SAMPLING_METHOD\T1/qtm/m/n/10 . Ap-pli-
ca-ble for OTV projects
[834]
Underfull \hbox (badness 10000) in paragraph at lines 76155--76161
\T1/qtm/m/n/10 (New in ver-sion v2.24) Met-ric to use for cal-cu-lat-ing fair-

Underfull \hbox (badness 10000) in paragraph at lines 76155--76161
\T1/qtm/m/n/10 ness. Can be one of \T1/txtt/m/n/10 proportionalParity\T1/qtm/m/
n/10 , \T1/txtt/m/n/10 equalParity\T1/qtm/m/n/10 ,

Underfull \hbox (badness 10000) in paragraph at lines 76155--76161
\T1/txtt/m/n/10 predictionBalance\T1/qtm/m/n/10 , \T1/txtt/m/n/10 trueFavorable
AndUnfavorableRateParity \T1/qtm/m/n/10 or
[835] [836]
Underfull \hbox (badness 10000) in paragraph at lines 76331--76335
\T1/qtm/m/n/10 [PartitioningMethod, op-tional] An in-stance of \T1/txtt/m/n/10 
datarobot.helpers.
[837] [838] [839]
Underfull \hbox (badness 10000) in paragraph at lines 76606--76608
\T1/qtm/m/n/10 If value of \T1/txtt/m/n/10 variable_type \T1/qtm/m/n/10 is not 
from \T1/txtt/m/n/10 datarobot.enums.
[840] [841]
Underfull \hbox (badness 10000) in paragraph at lines 76877--76880
\T1/qtm/m/n/10 In-stance of the Date-timePar-ti-tion-ing de-fined in \T1/txtt/m
/n/10 datarobot.helpers.
[842] [843] [844] [845]
Underfull \hbox (badness 10000) in paragraph at lines 77296--77303
[]\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
[846] [847] [848] [849]
Overfull \hbox (52.55392pt too wide) in paragraph at lines 77970--77970
\T1/qtm/m/it/10 time_partition_column\T1/qtm/m/n/10 , 

Overfull \hbox (58.94394pt too wide) in paragraph at lines 77970--77970
\T1/qtm/m/it/10 series_id_column=None\T1/qtm/m/n/10 , 

Overfull \hbox (97.62389pt too wide) in paragraph at lines 77970--77970
\T1/qtm/m/it/10 rolling_most_frequent_udf=None\T1/txtt/m/n/10 )|  
[850]
Overfull \hbox (31.55399pt too wide) in paragraph at lines 77982--77982
\T1/qtm/m/it/10 time_partition_column\T1/qtm/m/n/10 , 

Overfull \hbox (37.944pt too wide) in paragraph at lines 77982--77982
\T1/qtm/m/it/10 series_id_column=None\T1/qtm/m/n/10 , 

Overfull \hbox (49.34398pt too wide) in paragraph at lines 77982--77982
\T1/qtm/m/it/10 rolling_median_udf=None\T1/txtt/m/n/10 )|  

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\T1/qtm/m/it/10 known_in_advance_columns=None\T1/qtm/m/n/10 , 

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\T1/qtm/m/it/10 rolling_median_udf=None\T1/qtm/m/n/10 , 

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\T1/qtm/m/it/10 rolling_most_frequent_udf=None\T1/qtm/m/n/10 , 

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[]\T1/qtm/m/it/10 datetime_partition_column\T1/qtm/m/n/10 , 

Overfull \hbox (27.44403pt too wide) in paragraph at lines 78064--78064
\T1/qtm/m/it/10 series_id_column=None\T1/qtm/m/n/10 , 

Overfull \hbox (11.70403pt too wide) in paragraph at lines 78064--78064
\T1/qtm/m/it/10 lected_series=None\T1/txtt/m/n/10 )|  
[851] [852] [853] [854]
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\T1/qtm/m/n/10 [Optional[RegisteredModelVersionsListFilters]] A Reg-is-tered-Mo
d-elVer-sion-sList-Fil-ters
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Overfull \hbox (1.32878pt too wide) in paragraph at lines 78889--78889
\T1/qtm/m/it/10 rently_deployed\T1/qtm/m/n/10 , 

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\T1/qtm/m/it/10 tered_model_version\T1/qtm/m/n/10 , 

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\T1/qtm/m/it/10 first_deployed_at=None\T1/qtm/m/n/10 , 

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\T1/qtm/m/it/10 first_deployed_by=None\T1/qtm/m/n/10 , 

Overfull \hbox (37.6538pt too wide) in paragraph at lines 78889--78889
\T1/qtm/m/it/10 tion_environment=None\T1/txtt/m/n/10 )|  
[861]
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\T1/qtm/m/it/10 ble_with_leaderboard_model_id=None\T1/qtm/m/n/10 , 

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\T1/qtm/m/it/10 ble_with_model_package_id=None\T1/qtm/m/n/10 , 

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\T1/qtm/m/it/10 for_challenger=None\T1/qtm/m/n/10 , 

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\T1/qtm/m/it/10 tion_threshold=None\T1/qtm/m/n/10 , 

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\T1/qtm/m/it/10 tion_environment_id=None\T1/qtm/m/n/10 , 
[862]
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\T1/qtm/m/it/10 ble_with_leaderboard_model_id=None\T1/qtm/m/n/10 , 

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\T1/qtm/m/it/10 ble_with_model_package_id=None\T1/qtm/m/n/10 , 
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Underfull \hbox (badness 10000) in paragraph at lines 80137--80142
\T1/qtm/m/n/10 Time unit of the fea-ture deriva-tion win-dow. One of \T1/txtt/m
/n/10 datarobot.enums.

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\T1/qtm/m/n/10 Time unit of the pre-dic-tion point round-ing. One of \T1/txtt/m
/n/10 datarobot.enums.

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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.
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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.
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Underfull \hbox (badness 10000) in paragraph at lines 81064--81068
\T1/qtm/m/n/10 Re-trieve a sin-gle sec-ondary dataset con-fig-u-ra-tion for a g
iven id :rtype:
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\T1/qtm/m/it/10 not_added_to_menu=None\T1/qtm/m/n/10 , 
[920]
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\T1/qtm/m/it/10 **kwargs\T1/txtt/m/n/10 )|  
[921]
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[]\T1/qtm/m/it/10 id\T1/qtm/m/n/10 , 

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\T1/qtm/m/it/10 name\T1/qtm/m/n/10 , 

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\T1/qtm/m/it/10 role\T1/qtm/m/n/10 , 

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\T1/qtm/m/it/10 share_recipient_type\T1/qtm/m/n/10 , 

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\T1/qtm/m/it/10 **kwargs\T1/txtt/m/n/10 )|  

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\T1/qtm/m/it/10 info_creator_full_name\T1/qtm/m/n/10 , 

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\T1/qtm/m/it/10 last_modifier_full_name=None\T1/qtm/m/n/10 , 
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[934]
Overfull \hbox (11.64404pt too wide) in paragraph at lines 86465--86465
\T1/qtm/m/it/10 tive_feature_derivation_window_start=None\T1/qtm/m/n/10 , 

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\T1/qtm/m/it/10 tive_feature_derivation_window_end=None\T1/qtm/m/n/10 , 

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\T1/qtm/m/it/10 is_n_clusters_dynamically_determined=None\T1/qtm/m/n/10 , 
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[947] [948] [949] [950] [951]
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\T1/qtm/m/it/10 chunk_overlap_percentage\T1/qtm/m/n/10 , 

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\T1/qtm/m/it/10 added_dataset_names\T1/qtm/m/n/10 , 
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[]\T1/qtm/m/it/10 embedding_models\T1/qtm/m/n/10 , 

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\T1/qtm/m/it/10 fault_embedding_model\T1/qtm/m/n/10 , 

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\T1/qtm/m/it/10 tom_model_embedding_validations\T1/txtt/m/n/10 )|  

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[]\T1/qtm/m/it/10 name\T1/qtm/m/n/10 , 

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\T1/qtm/m/it/10 enum\T1/qtm/m/n/10 , 

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\T1/qtm/m/it/10 group_id\T1/txtt/m/n/10 )|  
[955]
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[984] [985] [986]
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[991] [992] [993] [994] [995]
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\T1/qtm/m/it/10 max_num_prompts=None\T1/qtm/m/n/10 , 

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\T1/qtm/m/it/10 prompt_sampling_strategy=None\T1/qtm/m/n/10 , 

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\T1/qtm/m/it/10 tion_dataset_configuration_id=None\T1/qtm/m/n/10 , 

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\T1/qtm/m/it/10 ootb_dataset=None\T1/txtt/m/n/10 )|  
[1001]
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\T1/qtm/m/it/10 llm_test_result_id\T1/qtm/m/n/10 , 

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\T1/qtm/m/it/10 chat_name\T1/qtm/m/n/10 , 

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\T1/qtm/m/it/10 tion_status\T1/qtm/m/n/10 , 

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\T1/qtm/m/it/10 tion_name\T1/qtm/m/n/10 , 

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\T1/qtm/m/it/10 sight_grading_criteria\T1/qtm/m/n/10 , 

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\T1/qtm/m/it/10 last_update_date\T1/qtm/m/n/10 , 

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\T1/qtm/m/it/10 tion_dataset_name\T1/qtm/m/n/10 , 

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\T1/qtm/m/it/10 tion_value=None\T1/qtm/m/n/10 , 

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\T1/qtm/m/it/10 tion_dataset_configuration_id=None\T1/qtm/m/n/10 , 

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\T1/qtm/m/it/10 ric_name=None\T1/qtm/m/n/10 , 

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\T1/qtm/m/it/10 tion_type=None\T1/qtm/m/n/10 , 

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\T1/qtm/m/it/10 ing_result=None\T1/txtt/m/n/10 )|  
[1002]
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\T1/qtm/m/it/10 **kwargs\T1/txtt/m/n/10 )|  

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[]\T1/qtm/m/it/10 *args\T1/qtm/m/n/10 , 

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\T1/qtm/m/it/10 **kwargs\T1/txtt/m/n/10 )|  

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[]\T1/qtm/m/it/10 *args\T1/qtm/m/n/10 , 

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\T1/qtm/m/it/10 **kwargs\T1/txtt/m/n/10 )|  

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[]\T1/qtm/m/it/10 blocked_terms_file_contents\T1/qtm/m/n/10 , 

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\T1/qtm/m/it/10 prompt_pipeline_metric_name=None\T1/qtm/m/n/10 , 

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\T1/qtm/m/it/10 prompt_pipeline_files=None\T1/qtm/m/n/10 , 

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\T1/qtm/m/it/10 prompt_llm_configuration=None\T1/qtm/m/n/10 , 

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\T1/qtm/m/it/10 prompt_moderation_configuration=None\T1/qtm/m/n/10 , 

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\T1/qtm/m/it/10 prompt_pipeline_template_id=None\T1/qtm/m/n/10 , 

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\T1/qtm/m/it/10 sponse_pipeline_metric_name=None\T1/qtm/m/n/10 , 

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\T1/qtm/m/it/10 sponse_pipeline_files=None\T1/qtm/m/n/10 , 

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\T1/qtm/m/it/10 sponse_llm_configuration=None\T1/qtm/m/n/10 , 

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\T1/qtm/m/it/10 sponse_moderation_configuration=None\T1/qtm/m/n/10 , 

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\T1/qtm/m/it/10 sponse_pipeline_template_id=None\T1/txtt/m/n/10 )|  
[1003] [1004]
Overfull \hbox (31.8338pt too wide) in paragraph at lines 92362--92362
\T1/qtm/m/it/10 prompt_column_name\T1/qtm/m/n/10 , 

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\T1/qtm/m/it/10 dataset_url=None\T1/qtm/m/n/10 , 

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\T1/qtm/m/it/10 sponse_column_name=None\T1/qtm/m/n/10 , 
[1005]
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\T1/qtm/m/it/10 car_model_metric_validation_id=None\T1/qtm/m/n/10 , 

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\T1/qtm/m/it/10 tom_metric_id=None\T1/qtm/m/n/10 , 

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\T1/qtm/m/it/10 tion_dataset_configuration_id=None\T1/qtm/m/n/10 , 

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\T1/qtm/m/it/10 cost_configuration_id=None\T1/qtm/m/n/10 , 

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\T1/qtm/m/it/10 ootb_metric_id=None\T1/qtm/m/n/10 , 

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\T1/qtm/m/it/10 ootb_metric_name=None\T1/qtm/m/n/10 , 

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\T1/qtm/m/it/10 guard_conditions=None\T1/qtm/m/n/10 , 

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\T1/qtm/m/it/10 tion_configuration=None\T1/qtm/m/n/10 , 

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\T1/qtm/m/it/10 ror_resolution=None\T1/qtm/m/n/10 , 

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\T1/qtm/m/it/10 nemo_metric_id=None\T1/qtm/m/n/10 , 

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\T1/qtm/m/it/10 tom_model_llm_validation_id=None\T1/qtm/m/n/10 , 

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\T1/qtm/m/it/10 car_model_metric_metadata=None\T1/qtm/m/n/10 , 

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\T1/qtm/m/it/10 guard_template_id=None\T1/qtm/m/n/10 , 

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\T1/qtm/m/it/10 guard_configuration_id=None\T1/qtm/m/n/10 , 

Overfull \hbox (100.63377pt too wide) in paragraph at lines 92519--92519
\T1/qtm/m/it/10 model_package_registered_model_id=None\T1/txtt/m/n/10 )|  
[1006] [1007]
Overfull \hbox (186.89838pt too wide) in paragraph at lines 92600--92600
[]\T1/qtm/m/it/10 ootb_metric_configurations\T1/txtt/m/n/10 )|  
[1008]
Underfull \hbox (badness 10000) in paragraph at lines 92761--92763
[]\T1/qtm/m/n/10 Added method [][]\T1/txtt/m/sl/10 Deployment.get_capabilities[
][] \T1/qtm/m/n/10 to re-trieve a list of :class: \T1/qtm/m/it/10 Ca-pa-bil-ity

[1009]
Underfull \hbox (badness 10000) in paragraph at lines 92826--92828
[]\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 92846--92848
[]\T1/qtm/m/n/10 Re-named \T1/qtm/m/it/10 datarobot.enums.CustomTaskOutgoingNet
workPolicy \T1/qtm/m/n/10 to [][]\T1/txtt/m/sl/10 datarobot.enums.
[1010]
Underfull \hbox (badness 10000) in paragraph at lines 92905--92908
[]\T1/qtm/m/it/10 datarobot._experimental.models.time_series_wrangling_template
.user_flow_template \T1/qtm/m/n/10 Ex-per-i-men-tal

Overfull \hbox (5.07997pt too wide) in paragraph at lines 93024--93026
[]\T1/qtm/m/n/10 Added a new class :class: \T1/qtm/m/it/10 TraceMeta-data <data
robot._experimental.models.genai.prompt_trace.TraceMetadata>
[1011]
Underfull \hbox (badness 10000) in paragraph at lines 93077--93079
[]\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

Underfull \hbox (badness 10000) in paragraph at lines 93129--93133
[]\T1/qtm/m/n/10 Added a new class [][]\T1/txtt/m/sl/10 HostedCustomMetricTempl
ate[][] \T1/qtm/m/n/10 for hosted cus-tom met-rics tem-

Underfull \hbox (badness 10000) in paragraph at lines 93129--93133
\T1/qtm/m/n/10 plates. [][]\T1/txtt/m/sl/10 HostedCustomMetricTemplate.get[][] 
\T1/qtm/m/n/10 to re-trieve a hosted cus-tom met-ric tem-plate.
[1012]
Underfull \hbox (badness 10000) in paragraph at lines 93151--93155
[][]\T1/txtt/m/sl/10 HostedCustomMetricBlueprint.get[][] \T1/qtm/m/n/10 to get 
a hosted cus-tom met-ric blueprint.

Underfull \hbox (badness 10000) in paragraph at lines 93151--93155
[][]\T1/txtt/m/sl/10 HostedCustomMetricBlueprint.create[][] \T1/qtm/m/n/10 to c
re-ate a hosted cus-tom met-ric blueprint.

Overfull \hbox (225.76pt too wide) in paragraph at lines 93176--93183
[]\T1/qtm/m/n/10 Added a new class :class: \T1/qtm/m/it/10 Eval-u-a-tion-Datase
t-Con-fig-u-ra-tion <datarobot._experimental.models.genai.evaluation_dataset_co
nfiguration.EvaluationDatasetConfiguration>

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[]\T1/qtm/m/n/10 Added a new class :class: \T1/qtm/m/it/10 Eval-u-a-tion-Datase
t-Met-ricAggre-ga-tion <datarobot._experimental.models.genai.evaluation_dataset
_metric_aggregation.EvaluationDatasetMetricAggregation>

Overfull \hbox (216.13pt too wide) in paragraph at lines 93192--93195
[]\T1/qtm/m/n/10 Added a new class :class: \T1/qtm/m/it/10 Syn-thet-icE-val-u-a
-tion-Dataset <datarobot._experimental.models.genai.synthetic_evaluation_datase
t_generation.SyntheticEvaluationDataset>

Overfull \hbox (168.13pt too wide) in paragraph at lines 93197--93205
[]\T1/qtm/m/n/10 Added a new class :class: \T1/qtm/m/it/10 Side-car-Mod-el-Met-
ric-Val-i-da-tion <datarobot._experimental.models.genai.sidecar_model_metric.Si
decarModelMetricValidation>

Underfull \hbox (badness 5119) in paragraph at lines 93197--93205
\T1/qtm/m/n/10 car model met-ric val-i-da-tion. [][]\T1/txtt/m/sl/10 SidecarMod
elMetricValidation.list[][] \T1/qtm/m/n/10 to list side-car model met-

Underfull \hbox (badness 10000) in paragraph at lines 93197--93205
\T1/qtm/m/n/10 ric val-i-da-tions. [][]\T1/txtt/m/sl/10 SidecarModelMetricValid
ation.get[][] \T1/qtm/m/n/10 to get a side-car model met-ric val-i-da-

Underfull \hbox (badness 10000) in paragraph at lines 93197--93205
\T1/qtm/m/n/10 tion. [][]\T1/txtt/m/sl/10 SidecarModelMetricValidation.revalida
te[][] \T1/qtm/m/n/10 to re-run a side-car model met-ric val-i-da-

Underfull \hbox (badness 10000) in paragraph at lines 93197--93205
\T1/qtm/m/n/10 tion. [][]\T1/txtt/m/sl/10 SidecarModelMetricValidation.update[]
[] \T1/qtm/m/n/10 to up-date a side-car model met-ric val-i-da-tion.
[1013]
Underfull \hbox (badness 10000) in paragraph at lines 93302--93304
[]\T1/qtm/m/n/10 Added a new pa-ram-e-ter \T1/qtm/m/it/10 en-tity_type \T1/qtm/
m/n/10 to the \T1/qtm/m/it/10 com-pute \T1/qtm/m/n/10 and \T1/qtm/m/it/10 cre-a
te \T1/qtm/m/n/10 meth-ods of the

Underfull \hbox (badness 10000) in paragraph at lines 93302--93304
\T1/qtm/m/n/10 classes :class: \T1/qtm/m/it/10 Shap-Ma-trix <datarobot.insights
.shap_matrix.ShapMatrix>\T1/qtm/m/n/10 , :class:

Underfull \hbox (badness 10000) in paragraph at lines 93302--93304
\T1/qtm/m/it/10 ShapIm-pact <datarobot.insights.shap_impact.ShapImpact>\T1/qtm/
m/n/10 , :class: \T1/qtm/m/it/10 Shap-Pre-view
[1014] [1015]
Underfull \hbox (badness 10000) in paragraph at lines 93472--93474
[][][]\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
[1016]
Underfull \hbox (badness 10000) in paragraph at lines 93610--93612
[]\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.
[1017]
Overfull \hbox (95.30997pt too wide) in paragraph at lines 93697--93700
[]\T1/qtm/m/n/10 Added a new class :class: \T1/qtm/m/it/10 In-sightsCon-fig-u-r
a-tion <datarobot._experimental.models.genai.insights_configuration.InsightsCon
figuration>

Overfull \hbox (140.64998pt too wide) in paragraph at lines 93708--93714
[]\T1/qtm/m/n/10 Added a new class :class: \T1/qtm/m/it/10 Cost-Met-ric-Config-
u-ra-tion <datarobot._experimental.models.genai.cost_metric_configurations.Cost
MetricConfiguration>

Underfull \hbox (badness 5288) in paragraph at lines 93708--93714
\T1/txtt/m/sl/10 get[][] \T1/qtm/m/n/10 to get the cost met-ric con-fig-u-ra-ti
on. [][]\T1/txtt/m/sl/10 CostMetricConfiguration.create[][] \T1/qtm/m/n/10 to c
re-ate a cost

Overfull \hbox (126.52995pt too wide) in paragraph at lines 93716--93718
[]\T1/qtm/m/n/10 Added a new class :class: \T1/qtm/m/it/10 LLM-Cost-Con-fig-u-r
a-tion <datarobot._experimental.models.genai.cost_metric_configurations.LLMCost
Configuration>
[1018]
Underfull \hbox (badness 10000) in paragraph at lines 93720--93722
[]\T1/qtm/m/n/10 Added new classes :class: \T1/qtm/m/it/10 Shap-Ma-trix <dataro
bot.insights.shap_matrix.ShapMatrix>\T1/qtm/m/n/10 ,

Underfull \hbox (badness 10000) in paragraph at lines 93720--93722
\T1/qtm/m/n/10 :class: \T1/qtm/m/it/10 ShapIm-pact <datarobot.insights.shap_imp
act.ShapImpact>\T1/qtm/m/n/10 , :class: \T1/qtm/m/it/10 Shap-Pre-view

Underfull \hbox (badness 10000) in paragraph at lines 93749--93751
[]\T1/qtm/m/n/10 Im-ple-mented sup-port for \T1/qtm/m/it/10 dr-database-v1 \T1/
qtm/m/n/10 to \T1/qtm/m/it/10 Data-S-tore <datarobot.models.DataStore>\T1/qtm/m
/n/10 , \T1/qtm/m/it/10 Data-Source

Underfull \hbox (badness 10000) in paragraph at lines 93808--93810
[]\T1/qtm/m/n/10 Added sup-port for Na-tive Con-nec-tors to \T1/qtm/m/it/10 Con
-nec-tor <datarobot.models.Connector> \T1/qtm/m/n/10 for ev-ery-thing
[1019] [1020]
Underfull \hbox (badness 10000) in paragraph at lines 93980--93982
[]\T1/qtm/m/n/10 Added new meth-ods to the class [][]\T1/txtt/m/sl/10 Notebook[
][] \T1/qtm/m/n/10 which in-cludes [][]\T1/txtt/m/sl/10 Notebook.run[][] \T1/qt
m/m/n/10 and [][]\T1/txtt/m/sl/10 Notebook.
[1021]
Underfull \hbox (badness 10000) in paragraph at lines 94067--94073
\T1/txtt/m/sl/10 create_for_external[][] \T1/qtm/m/n/10 to cre-ate a new reg-is
-tered model ver-sion from an ex-ter-nal model.

Underfull \hbox (badness 10000) in paragraph at lines 94067--94073
[][]\T1/txtt/m/sl/10 RegisteredModelVersion.list_associated_deployments[][] \T1
/qtm/m/n/10 to list de-ploy-ments as-so-ci-ated with

Underfull \hbox (badness 7362) in paragraph at lines 94067--94073
\T1/qtm/m/n/10 a reg-is-tered model ver-sion. [][]\T1/txtt/m/sl/10 RegisteredMo
delVersion.create_for_leaderboard_item[][] \T1/qtm/m/n/10 to cre-

Underfull \hbox (badness 10000) in paragraph at lines 94067--94073
\T1/qtm/m/n/10 ate a new reg-is-tered model ver-sion from a Leader-board model.
 [][]\T1/txtt/m/sl/10 RegisteredModelVersion.

Overfull \hbox (132.07492pt too wide) in paragraph at lines 94110--94112
[]\T1/qtm/m/n/10 Added method meth:\T1/qtm/m/it/10 Deployment.get_predictions_v
s_actuals_over_time <datarobot.models.Deployment.get_predictions_vs_actuals_ove
r_time>
[1022]
Underfull \hbox (badness 10000) in paragraph at lines 94145--94147
\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
[1023]
Underfull \hbox (badness 10000) in paragraph at lines 94250--94256
\T1/txtt/m/sl/10 run[][] [][]BatchMonitoringJob.get_status[][] [][]BatchMonitor
ingJob.cancel[][] [][]BatchMonitoringJob.

Underfull \hbox (badness 7888) in paragraph at lines 94282--94284
[]\T1/qtm/m/n/10 Added [][]\T1/txtt/m/sl/10 DatetimePartitioningId[][]\T1/qtm/m
/n/10 , which can be passed as a \T1/qtm/m/it/10 par-ti-tion-ing_method \T1/qtm
/m/n/10 to [][]\T1/txtt/m/sl/10 Project.

Underfull \hbox (badness 10000) in paragraph at lines 94316--94325
\T1/qtm/m/n/10 and run_once [][]\T1/txtt/m/sl/10 BatchMonitoringJobDefinition.l
ist[][] [][]BatchMonitoringJobDefinition.

Underfull \hbox (badness 10000) in paragraph at lines 94316--94325
\T1/txtt/m/sl/10 get[][] [][]BatchMonitoringJobDefinition.create[][] [][]BatchM
onitoringJobDefinition.update[][]

Underfull \hbox (badness 10000) in paragraph at lines 94316--94325
[][]\T1/txtt/m/sl/10 BatchMonitoringJobDefinition.delete[][] [][]BatchMonitorin
gJobDefinition.run_on_schedule[][]
[1024]
Underfull \hbox (badness 10000) in paragraph at lines 94338--94351
\T1/txtt/m/sl/10 create_from_url[][] [][]Dataset.create_from_data_source[][] []
[]Dataset.create_from_query_generator[][]

Underfull \hbox (badness 10000) in paragraph at lines 94338--94351
[][]\T1/txtt/m/sl/10 Dataset.create_project[][] [][]Project.create[][] [][]Proj
ect.create_from_data_source[][] [][]Project.

Underfull \hbox (badness 10000) in paragraph at lines 94338--94351
\T1/txtt/m/sl/10 create_from_dataset[][] [][]Project.create_segmented_project_f
rom_clustering_model[][] [][]Project.

Underfull \hbox (badness 10000) in paragraph at lines 94387--94389
[]\T1/qtm/m/n/10 If the user con-fig-ures the client via env vars, then set the
 env var

Overfull \hbox (38.23495pt too wide) in paragraph at lines 94396--94398
[]\T1/qtm/m/n/10 Added method meth:\T1/qtm/m/it/10 Deployment.get_predictions_o
ver_time <datarobot.models.Deployment.get_predictions_over_time>
[1025]
Underfull \hbox (badness 10000) in paragraph at lines 94438--94453
\T1/txtt/m/sl/10 request_feature_effect[][] [][]Model.get_or_request_feature_ef
fect[][] [][]Model.get_lift_chart[][]

Underfull \hbox (badness 10000) in paragraph at lines 94438--94453
[][]\T1/txtt/m/sl/10 Model.get_all_lift_charts[][] [][]Model.get_residuals_char
t[][] [][]Model.get_all_residuals_charts[][]

Underfull \hbox (badness 10000) in paragraph at lines 94438--94453
[][]\T1/txtt/m/sl/10 Model.request_lift_chart[][] [][]Model.request_residuals_c
hart[][] [][]Model.get_roc_curve[][] [][]Model.

Underfull \hbox (badness 10000) in paragraph at lines 94483--94485
[]\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 94507--94509
\T1/txtt/m/sl/10 PredictionExplanations.get_all_as_dataframe()[][] \T1/qtm/m/n/
10 and [][]\T1/txtt/m/sl/10 datarobot.PredictionExplanations.
[1026]
Underfull \hbox (badness 10000) in paragraph at lines 94621--94623
[]\T1/qtm/m/n/10 The sliced in-sight API end-point \T1/qtm/m/it/10 GET: api/v2/
insights/<insight_name>/ \T1/qtm/m/n/10 re-turns a pag-i-nated re-

Underfull \hbox (badness 10000) in paragraph at lines 94635--94638
[]\T1/txtt/m/n/10 DatetimeModel.get_feature_fit_metadata \T1/qtm/m/n/10 has bee
n re-moved. Use [][]\T1/txtt/m/sl/10 DatetimeModel.

Underfull \hbox (badness 10000) in paragraph at lines 94645--94648
[]\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 94660--94663
[]\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 94665--94668
[]\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.
[1027]
Underfull \hbox (badness 10000) in paragraph at lines 94675--94678
[]\T1/qtm/m/n/10 Dep-re-cated the fol-low-ing meth-ods for re-triev-ing [][]\T1
/txtt/m/sl/10 SharingAccess[][] \T1/qtm/m/n/10 in-for-ma-tion. - [][]\T1/txtt/m
/sl/10 DataStore.
[1028]
Underfull \hbox (badness 10000) in paragraph at lines 94817--94821
[]\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 94817--94821
[][]\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 94823--94828
[]\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 94823--94828
[][]\T1/txtt/m/sl/10 DataEngineQueryGenerator.prepare_prediction_dataset_from_c
atalog[][] \T1/qtm/m/n/10 that ap-ply time se-ries

Underfull \hbox (badness 10000) in paragraph at lines 94854--94858
[]\T1/qtm/m/n/10 Added two new meth-ods to the Im-ageAug-men-ta-tion-List class
: [][]\T1/txtt/m/sl/10 ImageAugmentationList.list[][]\T1/qtm/m/n/10 ,
[1029] [1030] [1031] [1032]
Underfull \hbox (badness 10000) in paragraph at lines 95194--95197
[]\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 95199--95201
[]\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 95282--95284
[][][]\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 95286--95288
[][][]\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
[1033]
Underfull \hbox (badness 6364) in paragraph at lines 95318--95320
[]\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.

Underfull \hbox (badness 10000) in paragraph at lines 95370--95375
[]\T1/qtm/m/n/10 Added ex-per-i-men-tal sup-port to re-trieve doc-u-ment text e
x-trac-tion sam-ples us-

Underfull \hbox (badness 10000) in paragraph at lines 95370--95375
\T1/qtm/m/n/10 ing: - [][]\T1/txtt/m/sl/10 DocumentTextExtractionSample[][] \T1
/qtm/m/n/10 - [][]\T1/txtt/m/sl/10 DocumentTextExtractionSamplePage[][] \T1/qtm
/m/n/10 -
[1034]
Underfull \hbox (badness 10000) in paragraph at lines 95412--95419
[]\T1/qtm/m/n/10 Added sup-port to pass cal-cu-la-tion mode to pre-dic-tion ex-
pla-na-tions (\T1/qtm/m/it/10 mode \T1/qtm/m/n/10 pa-ram-e-ter in

Underfull \hbox (badness 10000) in paragraph at lines 95463--95476
\T1/qtm/m/n/10 - [][]\T1/txtt/m/sl/10 Project.apply_bias_mitigation[][] \T1/qtm
/m/n/10 - [][]\T1/txtt/m/sl/10 Project.request_bias_mitigation_feature_info[][]


Underfull \hbox (badness 10000) in paragraph at lines 95463--95476
\T1/qtm/m/n/10 - [][]\T1/txtt/m/sl/10 Project.get_bias_mitigation_feature_info[
][] \T1/qtm/m/n/10 and by adding new bias mit-

Underfull \hbox (badness 10000) in paragraph at lines 95463--95476
\T1/qtm/m/n/10 i-ga-tion params - bias_mitigation_feature_name - bias_mitigatio
n_technique - in-

Underfull \hbox (badness 10000) in paragraph at lines 95463--95476
\T1/qtm/m/n/10 clude_bias_mitigation_feature_as_predictor_variable to the ex-is
t-ing method - [][]\T1/txtt/m/sl/10 Project.start[][] \T1/qtm/m/n/10 and

Underfull \hbox (badness 7256) in paragraph at lines 95463--95476
\T1/qtm/m/n/10 by adding this enum to sup-ply params to some of the above func-
tion-al-ity \T1/txtt/m/n/10 datarobot.enums.
[1035]
Underfull \hbox (badness 10000) in paragraph at lines 95589--95591
[]\T1/qtm/m/n/10 Up-date the doc-u-men-ta-tion to sug-gest that \T1/qtm/m/it/10
 fea-ture_derivation_window_end \T1/qtm/m/n/10 of [][]\T1/txtt/m/sl/10 datarobo
t.

Underfull \hbox (badness 10000) in paragraph at lines 95607--95610
[]\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
[1036] [1037]
Underfull \hbox (badness 10000) in paragraph at lines 95833--95835
[]\T1/txtt/m/n/10 DatetimeModel.get_feature_fit <datarobot.models.DatetimeModel
.

Underfull \hbox (badness 10000) in paragraph at lines 95859--95862
[]\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 ,
[1038]
Underfull \hbox (badness 6268) in paragraph at lines 95960--95963
[]\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.
[1039]
Underfull \hbox (badness 10000) in paragraph at lines 95995--95999
[]\T1/qtm/m/n/10 Added the abil-ity to con-trol class map-ping ag-gre-ga-tion i
n mul-ti-class projects via

Underfull \hbox (badness 10000) in paragraph at lines 96005--96013
[]\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 96005--96013
\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 96005--96013
\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 96005--96013
\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 96005--96013
\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 96005--96013
[][]\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.
[1040]
Underfull \hbox (badness 10000) in paragraph at lines 96155--96158
[]\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
[1041]
Underfull \hbox (badness 10000) in paragraph at lines 96231--96234
[]\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.
[1042] [1043]
Underfull \hbox (badness 10000) in paragraph at lines 96472--96475
[]\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 96477--96480
[]\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.
[1044]
Underfull \hbox (badness 7907) in paragraph at lines 96648--96653
[]\T1/qtm/m/n/10 Sup-port for Batch Pre-dic-tion Job Def-i-ni-tions has now bee
n added through the fol-low-ing class:

Underfull \hbox (badness 10000) in paragraph at lines 96690--96693
[]\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.
[1045]
Underfull \hbox (badness 10000) in paragraph at lines 96766--96771
[]\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 96766--96771
\T1/qtm/m/n/10 ing the \T1/txtt/m/n/10 allow_partial_history_time_series_predic
tions \T1/qtm/m/n/10 at-tribute of the [][]\T1/txtt/m/sl/10 datarobot.

Underfull \hbox (badness 10000) in paragraph at lines 96791--96799
[][]\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 96791--96799
\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.
[1046]
Underfull \hbox (badness 10000) in paragraph at lines 96862--96865
[]\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 96867--96873
[]\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 96867--96873
\T1/txtt/m/sl/10 FeatureAssociationMatrixDetails[][] \T1/qtm/m/n/10 and [][]\T1
/txtt/m/sl/10 datarobot.models.FeatureAssociationFeaturelists[][]

Underfull \hbox (badness 7168) in paragraph at lines 96892--96895
[]\T1/qtm/m/n/10 Re-move \T1/qtm/m/it/10 de-sired_memory \T1/qtm/m/n/10 param f
rom the fol-low-ing classes: [][]\T1/txtt/m/sl/10 datarobot.CustomInferenceMode
l[][]\T1/qtm/m/n/10 ,

Underfull \hbox (badness 10000) in paragraph at lines 96897--96904
[]\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 96897--96904
\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 ,
[1047]
Underfull \hbox (badness 8170) in paragraph at lines 97028--97031
[]\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
[1048]
Underfull \hbox (badness 10000) in paragraph at lines 97116--97121
[]\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 97141--97143
[]\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.
[1049]
Underfull \hbox (badness 10000) in paragraph at lines 97263--97266
[]\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:
[1050] [1051]
Underfull \hbox (badness 10000) in paragraph at lines 97406--97415
[]\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 97417--97424
[]\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.
[1052]
Underfull \hbox (badness 10000) in paragraph at lines 97617--97621
[]\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
[1053]
Underfull \hbox (badness 8132) in paragraph at lines 97655--97660
[]\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 97675--97679
[]\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 97675--97679
[][]\T1/txtt/m/sl/10 SecondaryDatasetConfigurations.delete[][] \T1/qtm/m/n/10 s
oft deletes a Sec-ondary dataset con-fig-u-ra-tion.
[1054] [1055]
Underfull \hbox (badness 10000) in paragraph at lines 97945--97949
[]\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.
[1056]
Underfull \hbox (badness 10000) in paragraph at lines 98013--98017
[]\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 98013--98017
[][]\T1/txtt/m/sl/10 Deployment.get_prediction_intervals_settings[][] \T1/qtm/m
/n/10 and [][]\T1/txtt/m/sl/10 Deployment.

Underfull \hbox (badness 10000) in paragraph at lines 98066--98069
[]\T1/qtm/m/n/10 It's now pos-si-ble to get fea-ture as-so-ci-a-tion sta-tuses 
for fea-turelists us-ing [][]\T1/txtt/m/sl/10 Project.

Underfull \hbox (badness 7925) in paragraph at lines 98103--98105
[]\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 98111--98116
[]\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
[1057] [1058]
Underfull \hbox (badness 10000) in paragraph at lines 98193--98195
[]\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 98193--98195
\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
[1059] [1060] [1061]
Underfull \hbox (badness 10000) in paragraph at lines 98483--98492
[]\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 98483--98492
[][]\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 98522--98524
[][][]\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
[1062]
Underfull \hbox (badness 10000) in paragraph at lines 98644--98647
[]\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 98663--98668
[]\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 98663--98668
\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.
[1063]
Underfull \hbox (badness 10000) in paragraph at lines 98694--98698
[]\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 98725--98729
[]\T1/qtm/m/n/10 Train-ing pre-dic-tions for date-time par-ti-tioned projects n
ow sup-port the new data sub-set
[1064]
Underfull \hbox (badness 10000) in paragraph at lines 98784--98792
[]\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 98784--98792
\T1/txtt/m/sl/10 get_advanced_tuning_parameters[][]\T1/qtm/m/n/10 , [][]\T1/txt
t/m/sl/10 Model.advanced_tune[][]\T1/qtm/m/n/10 , and [][]\T1/txtt/m/sl/10 Adva
ncedTuningSession[][]\T1/qtm/m/n/10 , were

Underfull \hbox (badness 10000) in paragraph at lines 98807--98810
[]\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 98817--98819
[]\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 98859--98863
[][][]\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.
[1065]
Underfull \hbox (badness 10000) in paragraph at lines 98976--98980
[]\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 98976--98980
\T1/txtt/m/sl/10 DatetimePartitioning.feature_log_list()[][] \T1/qtm/m/n/10 and
 [][]\T1/txtt/m/sl/10 datarobot.DatetimePartitioning.
[1066] [1067] [1068] [1069] [1070] [1071] [1072] [1073] [1074] [1075] [1076]
[1077] [1078]
Underfull \hbox (badness 6016) in paragraph at lines 100170--100174
[]\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
[1079]
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[]\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
[1080] [1081] [1082] [1083] [1084] (./datarobot-public-api-client.ind [1085]
[1086] [1087]
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[]\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 ),

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[]\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 ),
[1088] [1089]
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[]\T1/txtt/m/n/10 create() \T1/qtm/m/n/10 (\T1/qtm/m/it/10 datarobot._experimen
tal.models.genai.cost_metric_configurations.CostMetricConfiguration class

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[]\T1/txtt/m/n/10 create() \T1/qtm/m/n/10 (\T1/qtm/m/it/10 datarobot._experimen
tal.models.genai.evaluation_dataset_configuration.EvaluationDatasetConfiguratio
n

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[]\T1/txtt/m/n/10 create() \T1/qtm/m/n/10 (\T1/qtm/m/it/10 datarobot._experimen
tal.models.genai.evaluation_dataset_metric_aggregation.EvaluationDatasetMetricA
ggregation

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[]\T1/txtt/m/n/10 create() \T1/qtm/m/n/10 (\T1/qtm/m/it/10 datarobot._experimen
tal.models.genai.sidecar_model_metric.SidecarModelMetricValidation class

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[]\T1/txtt/m/n/10 create() \T1/qtm/m/n/10 (\T1/qtm/m/it/10 datarobot._experimen
tal.models.genai.synthetic_evaluation_dataset_generation.SyntheticEvaluationDat
aset
[1090] [1091] [1092]
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[]\T1/txtt/m/n/10 delete() \T1/qtm/m/n/10 (\T1/qtm/m/it/10 datarobot._experimen
tal.models.genai.evaluation_dataset_configuration.EvaluationDatasetConfiguratio
n

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[]\T1/txtt/m/n/10 delete() \T1/qtm/m/n/10 (\T1/qtm/m/it/10 datarobot._experimen
tal.models.genai.evaluation_dataset_metric_aggregation.EvaluationDatasetMetricA
ggregation

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[]\T1/txtt/m/n/10 delete() \T1/qtm/m/n/10 (\T1/qtm/m/it/10 datarobot._experimen
tal.models.genai.sidecar_model_metric.SidecarModelMetricValidation method\T1/qt
m/m/n/10 ),
[1093] [1094] [1095]
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[]\T1/txtt/m/n/10 EvaluationDatasetConfiguration \T1/qtm/m/n/10 (\T1/qtm/m/it/1
0 class in datarobot._experimental.models.genai.evaluation_dataset_configuratio
n\T1/qtm/m/n/10 ),

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[]\T1/txtt/m/n/10 EvaluationDatasetMetricAggregation \T1/qtm/m/n/10 (\T1/qtm/m/
it/10 class in datarobot._experimental.models.genai.evaluation_dataset_metric_a
ggregation\T1/qtm/m/n/10 ),

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[]\T1/txtt/m/n/10 find_anomalous_regions() \T1/qtm/m/n/10 (\T1/qtm/m/it/10 data
robot.models.anomaly_assessment.AnomalyAssessmentPredictionsPreview
[1096]
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[]\T1/txtt/m/n/10 get() \T1/qtm/m/n/10 (\T1/qtm/m/it/10 datarobot._experimental
.models.genai.evaluation_dataset_configuration.EvaluationDatasetConfiguration
[1097]
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[]\T1/txtt/m/n/10 get() \T1/qtm/m/n/10 (\T1/qtm/m/it/10 datarobot._experimental
.models.genai.ootb_metric_configuration.PlaygroundOOTBMetricConfiguration
[1098] [1099] [1100]
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[]\T1/txtt/m/n/10 get_buckets_as_dataframe() \T1/qtm/m/n/10 (\T1/qtm/m/it/10 da
tarobot.models.deployment.custom_metrics.CustomMetricValuesOverBatch

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[]\T1/txtt/m/n/10 get_buckets_as_dataframe() \T1/qtm/m/n/10 (\T1/qtm/m/it/10 da
tarobot.models.deployment.custom_metrics.CustomMetricValuesOverTime
[1101]
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[]\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

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[]\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
[1102] [1103] [1104] [1105] [1106]
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[]\T1/txtt/m/n/10 get_supported_embeddings() \T1/qtm/m/n/10 (\T1/qtm/m/it/10 da
tarobot._experimental.models.genai.vector_database.VectorDatabase class

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[]\T1/txtt/m/n/10 get_supported_retrieval_settings() \T1/qtm/m/n/10 (\T1/qtm/m/
it/10 datarobot._experimental.models.genai.vector_database.VectorDatabase
[1107]
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[]\T1/txtt/m/n/10 is_model_compliance_initialized \T1/qtm/m/n/10 (\T1/qtm/m/it/
10 datarobot.models.automated_documentation.AutomatedDocument prop-
[1108]
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[]\T1/txtt/m/n/10 list() \T1/qtm/m/n/10 (\T1/qtm/m/it/10 datarobot._experimenta
l.models.genai.evaluation_dataset_configuration.EvaluationDatasetConfiguration

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[]\T1/txtt/m/n/10 list() \T1/qtm/m/n/10 (\T1/qtm/m/it/10 datarobot._experimenta
l.models.genai.evaluation_dataset_metric_aggregation.EvaluationDatasetMetricAgg
regation

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[]\T1/txtt/m/n/10 list() \T1/qtm/m/n/10 (\T1/qtm/m/it/10 datarobot._experimenta
l.models.genai.llm_test_configuration.LLMTestConfigurationSupportedInsights
[1109] [1110]
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[]\T1/txtt/m/n/10 list_all_available_document_types() \T1/qtm/m/n/10 (\T1/qtm/m
/it/10 datarobot.models.automated_documentation.AutomatedDocument

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[]\T1/txtt/m/n/10 list_available_document_types() \T1/qtm/m/n/10 (\T1/qtm/m/it/
10 datarobot.models.automated_documentation.AutomatedDocument class

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[]\T1/txtt/m/n/10 LLMTestConfigurationSupportedInsights \T1/qtm/m/n/10 (\T1/qtm
/m/it/10 class in datarobot._experimental.models.genai.llm_test_configuration\T
1/qtm/m/n/10 ),
[1111]
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[]\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
[1112]
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[]\T1/txtt/m/n/10 PlaygroundOOTBMetricConfiguration \T1/qtm/m/n/10 (\T1/qtm/m/i
t/10 class in datarobot._experimental.models.genai.ootb_metric_configuration\T1
/qtm/m/n/10 ),
[1113] [1114] [1115]
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[]\T1/txtt/m/n/10 revalidate() \T1/qtm/m/n/10 (\T1/qtm/m/it/10 datarobot._exper
imental.models.genai.sidecar_model_metric.SidecarModelMetricValidation
[1116] [1117]
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[]\T1/txtt/m/n/10 submit_export_dataset_job() \T1/qtm/m/n/10 (\T1/qtm/m/it/10 d
atarobot._experimental.models.genai.vector_database.VectorDatabase

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[]\T1/txtt/m/n/10 SyntheticEvaluationDataset \T1/qtm/m/n/10 (\T1/qtm/m/it/10 cl
ass in datarobot._experimental.models.genai.synthetic_evaluation_dataset_genera
tion\T1/qtm/m/n/10 ),
[1118]
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[]\T1/txtt/m/n/10 update() \T1/qtm/m/n/10 (\T1/qtm/m/it/10 datarobot._experimen
tal.models.genai.evaluation_dataset_configuration.EvaluationDatasetConfiguratio
n

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[]\T1/txtt/m/n/10 update() \T1/qtm/m/n/10 (\T1/qtm/m/it/10 datarobot._experimen
tal.models.genai.sidecar_model_metric.SidecarModelMetricValidation method\T1/qt
m/m/n/10 ),
[1119] [1120]
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[]\T1/txtt/m/n/10 validate_task_parameters() \T1/qtm/m/n/10 (\T1/qtm/m/it/10 da
tarobot.models.user_blueprints.models.UserBlueprintValidateTaskParameters
) [1121] (./datarobot-public-api-client.aux) )
(see the transcript file for additional information){/usr/share/texlive/texmf-d
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/tex-gyre/q-ec.enc}{/usr/share/texmf/fonts/enc/dvips/tex-gyre/q-ts1.enc}{/usr/s
hare/texlive/texmf-dist/fonts/enc/dvips/fontawesome5/fa5free1.enc}{/usr/share/t
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xmf-dist/fonts/type1/public/amsfonts/cm/cmmi5.pfb></usr/share/texlive/texmf-dis
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pfb></usr/share/texmf/fonts/type1/public/tex-gyre/qtmr.pfb></usr/share/texmf/fo
nts/type1/public/tex-gyre/qtmri.pfb></usr/share/texlive/texmf-dist/fonts/type1/
public/txfonts/t1xbtt.pfb></usr/share/texlive/texmf-dist/fonts/type1/public/txf
onts/t1xbtt.pfb></usr/share/texlive/texmf-dist/fonts/type1/public/txfonts/t1xtt
.pfb></usr/share/texlive/texmf-dist/fonts/type1/public/txfonts/t1xtt.pfb></usr/
share/texlive/texmf-dist/fonts/type1/public/txfonts/tcxtt.pfb></usr/share/texli
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Output written on datarobot-public-api-client.pdf (1125 pages, 4445504 bytes).
Transcript written on datarobot-public-api-client.log.
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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