Read the Docs build information
Build id: 2364985
Project: datarobot-public-api-client
Version: early-access
Commit: 5d2503e965b21fb2891dbc7e3f7e54d5f318b40f
Date: 2024-07-22T17:28:41.313220Z
State: finished
Success: True


[rtd-command-info] start-time: 2024-07-22T17:28:42.519377Z, end-time: 2024-07-22T17:28:45.484555Z, duration: 2, exit-code: 0
git clone --depth 1 git@github.com:datarobot/public_api_client.git .
Cloning into '.'...
Warning: Permanently added 'github.com' (ED25519) to the list of known hosts.

[rtd-command-info] start-time: 2024-07-22T17:28:45.568070Z, end-time: 2024-07-22T17:28:46.953565Z, 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: 2024-07-22T17:28:47.084778Z, end-time: 2024-07-22T17:28:47.744040Z, duration: 0, exit-code: 0
git checkout --force 5d2503e965b21fb2891dbc7e3f7e54d5f318b40f
Note: switching to '5d2503e965b21fb2891dbc7e3f7e54d5f318b40f'.

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 5d2503e Update inputset Weekly PYSDK Input Set (#3202)

[rtd-command-info] start-time: 2024-07-22T17:28:47.808431Z, end-time: 2024-07-22T17:28:47.863346Z, 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: "3.8"

[rtd-command-info] start-time: 2024-07-22T17:28:53.512502Z, end-time: 2024-07-22T17:28:53.589099Z, duration: 0, exit-code: 0
asdf global python 3.8.19


[rtd-command-info] start-time: 2024-07-22T17:28:53.976045Z, end-time: 2024-07-22T17:28:55.177774Z, duration: 1, exit-code: 0
python -mvirtualenv $READTHEDOCS_VIRTUALENV_PATH
created virtual environment CPython3.8.19.final.0-64 in 875ms
  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: 2024-07-22T17:28:55.244511Z, end-time: 2024-07-22T17:29:06.104177Z, duration: 10, 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/python3.8/site-packages (23.1)
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Requirement already satisfied: setuptools in /home/docs/checkouts/readthedocs.org/user_builds/datarobot-public-api-client/envs/early-access/lib/python3.8/site-packages (67.6.1)
Collecting setuptools
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Installing collected packages: setuptools, pip
  Attempting uninstall: setuptools
    Found existing installation: setuptools 67.6.1
    Uninstalling setuptools-67.6.1:
      Successfully uninstalled setuptools-67.6.1
  Attempting uninstall: pip
    Found existing installation: pip 23.1
    Uninstalling pip-23.1:
      Successfully uninstalled pip-23.1
Successfully installed pip-24.1.2 setuptools-71.1.0

[rtd-command-info] start-time: 2024-07-22T17:29:06.212759Z, end-time: 2024-07-22T17:29:16.395042Z, duration: 10, exit-code: 0
python -m pip install --upgrade --no-cache-dir sphinx readthedocs-sphinx-ext
Collecting sphinx
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Downloading zipp-3.19.2-py3-none-any.whl (9.0 kB)
Installing collected packages: snowballstemmer, pytz, zipp, 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, importlib-metadata, sphinx, readthedocs-sphinx-ext
Successfully installed Jinja2-3.1.4 MarkupSafe-2.1.5 Pygments-2.18.0 alabaster-0.7.13 babel-2.15.0 certifi-2024.7.4 charset-normalizer-3.3.2 docutils-0.20.1 idna-3.7 imagesize-1.4.1 importlib-metadata-8.0.0 packaging-24.1 pytz-2024.1 readthedocs-sphinx-ext-2.2.5 requests-2.32.3 snowballstemmer-2.2.0 sphinx-7.1.2 sphinxcontrib-applehelp-1.0.4 sphinxcontrib-devhelp-1.0.2 sphinxcontrib-htmlhelp-2.0.1 sphinxcontrib-jsmath-1.0.1 sphinxcontrib-qthelp-1.0.3 sphinxcontrib-serializinghtml-1.1.5 urllib3-2.2.2 zipp-3.19.2

[rtd-command-info] start-time: 2024-07-22T17:29:16.469988Z, end-time: 2024-07-22T17:30:08.897547Z, duration: 52, exit-code: 0
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
  Installing build dependencies: finished with status 'done'
  Getting requirements to build wheel: started
  Getting requirements to build wheel: finished with status 'done'
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  Preparing metadata (pyproject.toml): finished with status 'done'
Collecting pandas>=0.15 (from datarobot==3.6.0b0)
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Requirement already satisfied: requests>=2.28.1 in /home/docs/checkouts/readthedocs.org/user_builds/datarobot-public-api-client/envs/early-access/lib/python3.8/site-packages (from datarobot==3.6.0b0) (2.32.3)
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Building wheels for collected packages: datarobot, jupyter-contrib-nbextensions, jupyter_contrib_core
  Building wheel for datarobot (pyproject.toml): started
  Building wheel for datarobot (pyproject.toml): finished with status 'done'
  Created wheel for datarobot: filename=datarobot-3.6.0b0-py3-none-any.whl size=1067230 sha256=37a8c003ae9ad11f13aac251080f8a48b748aededaeee8cc38b1ad445ad5ab70
  Stored in directory: /tmp/pip-ephem-wheel-cache-bzk72srg/wheels/6a/02/23/230e2a19d0f1633bdd17ea27bf679e424d1fa2250f3dda62ca
  Building wheel for jupyter-contrib-nbextensions (setup.py): started
  Building wheel for jupyter-contrib-nbextensions (setup.py): finished with status 'done'
  Created wheel for jupyter-contrib-nbextensions: filename=jupyter_contrib_nbextensions-0.7.0-py2.py3-none-any.whl size=23428783 sha256=a9d6164bc1be6ae6b45bb06d2d13949f00b23d405b76b3054a2fff39751defc3
  Stored in directory: /tmp/pip-ephem-wheel-cache-bzk72srg/wheels/1a/60/9f/043697d3cd00df43b23bbf4e722366a2abfa68700b6d8411f4
  Building wheel for jupyter_contrib_core (setup.py): started
  Building wheel for jupyter_contrib_core (setup.py): finished with status 'done'
  Created wheel for jupyter_contrib_core: filename=jupyter_contrib_core-0.4.2-py2.py3-none-any.whl size=17482 sha256=f82962aae944e18d4eef0f12854f375f2d6a956e9f40b6a277d5c9af19e05de3
  Stored in directory: /tmp/pip-ephem-wheel-cache-bzk72srg/wheels/c5/75/d2/b881eea79157be355b125d974ec85f88d6e6742acd14387872
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, py4j, pure-eval, ptyprocess, pickleshare, jupyter_highlight_selected_word, ipython_genutils, fastjsonschema, backcall, wrapt, websocket-client, webcolors, urllib3, uri-template, tzdata, typing-extensions, types-requests, traitlets, tornado, tomlkit, tomli, tokenize-rt, tinycss2, soupsieve, sniffio, six, send2trash, rpds-py, rfc3986-validator, pyzmq, pyyaml, python-json-logger, pyflakes, pyenchant, pycparser, pycodestyle, pyasn1, py, psutil, protobuf, prompt-toolkit, prometheus-client, pluggy, platformdirs, pkgutil-resolve-name, Pillow, pexpect, pathspec, parso, pandocfilters, overrides, numpy, nest-asyncio, mypy-extensions, mistune, mccabe, lxml, lazy-object-proxy, jupyterlab-pygments, jsonpointer, json5, isort, iniconfig, importlib-resources, h11, grpcio, fqdn, executing, exceptiongroup, docutils, dill, defusedxml, decorator, debugpy, coverage, click, cachetools, attrs, terminado, rsa, rfc3339-validator, referencing, python-dateutil, pytest, pyasn1-modules, pyarrow, mypy, matplotlib-inline, jupyter_core, jedi, httpcore, googleapis-common-protos, flake8, comm, cffi, bleach, black, beautifulsoup4, async-lru, asttokens, astroid, anyio, stack-data, sphinx, responses, requests-toolbelt, pytest-cov, pytest-asyncio, pylint, pandas, jupyter-server-terminals, jupyter-client, jsonschema-specifications, httpx, grpcio-status, google-auth, arrow, argon2-cffi-bindings, sphinxcontrib-spelling, sphinx-rtd-theme, sphinx-autodoc-typehints, numpydoc, 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
  Attempting uninstall: urllib3
    Found existing installation: urllib3 2.2.2
    Uninstalling urllib3-2.2.2:
      Successfully uninstalled urllib3-2.2.2
  Attempting uninstall: docutils
    Found existing installation: docutils 0.20.1
    Uninstalling docutils-0.20.1:
      Successfully uninstalled docutils-0.20.1
  Attempting uninstall: sphinx
    Found existing installation: Sphinx 7.1.2
    Uninstalling Sphinx-7.1.2:
      Successfully uninstalled Sphinx-7.1.2
Successfully installed Pillow-9.2.0 anyio-4.4.0 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-23.2.0 backcall-0.2.0 beautifulsoup4-4.12.3 black-24.4.2 bleach-6.1.0 cachetools-5.4.0 cffi-1.16.0 click-8.1.7 comm-0.2.2 coverage-7.6.0 databricks-connect-13.0.1 databricks-sdk-0.29.0 datarobot-3.6.0b0 debugpy-1.8.2 decorator-5.1.1 defusedxml-0.7.1 dill-0.3.8 docutils-0.17.1 exceptiongroup-1.2.2 executing-2.0.1 fastjsonschema-2.20.0 flake8-5.0.4 fqdn-1.5.1 google-auth-2.32.0 googleapis-common-protos-1.63.2 grpcio-1.65.1 grpcio-status-1.65.1 h11-0.14.0 httpcore-1.0.5 httpx-0.27.0 importlib-resources-6.4.0 iniconfig-2.0.0 ipykernel-6.29.5 ipython-8.12.3 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-2023.12.1 jupyter-client-8.6.2 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-4.2.4 jupyterlab-pygments-0.3.0 jupyterlab-server-2.27.3 lazy-object-proxy-1.10.0 lxml-5.2.2 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-0.8.9 nest-asyncio-1.6.0 notebook-7.2.1 notebook-shim-0.2.4 numpy-1.24.4 numpydoc-1.4.0 overrides-7.7.0 pandas-2.0.3 pandocfilters-1.5.1 parso-0.8.4 pathspec-0.12.1 pexpect-4.9.0 pickleshare-0.7.5 pkgutil-resolve-name-1.3.10 platformdirs-4.2.2 pluggy-1.5.0 prometheus-client-0.20.0 prompt-toolkit-3.0.47 protobuf-5.27.2 psutil-6.0.0 ptyprocess-0.7.0 pure-eval-0.2.3 py-1.11.0 py4j-0.10.9.7 pyarrow-17.0.0 pyasn1-0.6.0 pyasn1-modules-0.4.0 pycodestyle-2.9.1 pycparser-2.22 pyenchant-3.2.2 pyflakes-2.5.0 pylint-2.15.0 pytest-7.1.2 pytest-asyncio-0.21.1 pytest-cov-5.0.0 python-dateutil-2.9.0.post0 python-json-logger-2.0.7 pyyaml-6.0.1 pyzmq-26.0.3 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-0.19.0 rsa-4.9 send2trash-1.8.3 six-1.16.0 sniffio-1.3.1 soupsieve-2.5 sphinx-5.3.0 sphinx-autodoc-typehints-1.17.1 sphinx-rtd-theme-1.0.0 sphinxcontrib-spelling-8.0.0 stack-data-0.6.3 strenum-0.4.15 terminado-0.18.1 tinycss2-1.3.0 tokenize-rt-5.2.0 tomli-2.0.1 tomlkit-0.13.0 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-2024.1 uri-template-1.3.0 urllib3-1.26.19 wcwidth-0.2.13 webcolors-24.6.0 webencodings-0.5.1 websocket-client-1.8.0 wrapt-1.16.0

[rtd-command-info] start-time: 2024-07-22T17:30:10.097911Z, end-time: 2024-07-22T17:30:10.154947Z, 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
from zipfile import ZipFile

import sphinx_rtd_theme

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 "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)

# Create a zip file of the example resources (csv, py, ipynb)
# so that it can be included it as a download within the HTML docs
files_to_zip = []
for root, _, files in os.walk("examples"):
    basename = os.path.basename(root)
    # skip "hidden" directories like notebook autosaves and _build
    if not basename.startswith("_") and not basename.startswith("."):
        for file in files:
            name, ext = os.path.splitext(file)
            ext_lower = ext.lower()
            if ext_lower in [".csv", ".xls", ".xlsx", ".ipynb", ".py"]:
                files_to_zip.append(os.path.join(root, file))
with ZipFile("datarobot_examples.zip", "w") as examples_zip:
    for file in files_to_zip:
        examples_zip.write(file)

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

# If your documentation needs a minimal Sphinx version, state it here.
# needs_sphinx = '1.0'

# 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",
]

# 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"
html_theme_path = [sphinx_rtd_theme.get_html_theme_path()]

# 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 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", "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")




###########################################################################
#          auto-created readthedocs.org specific configuration            #
###########################################################################


#
# The following code was added during an automated build on readthedocs.org
# It is auto created and injected for every build. The result is based on the
# conf.py.tmpl file found in the readthedocs.org codebase:
# https://github.com/rtfd/readthedocs.org/blob/main/readthedocs/doc_builder/templates/doc_builder/conf.py.tmpl
#
# Note: this file shouldn't rely on extra dependencies.

import importlib
import sys
import os.path

# Borrowed from six.
PY3 = sys.version_info[0] == 3
string_types = str if PY3 else basestring

from sphinx import version_info

# Get suffix for proper linking to GitHub
# This is deprecated in Sphinx 1.3+,
# as each page can have its own suffix
if globals().get('source_suffix', False):
    if isinstance(source_suffix, string_types):
        SUFFIX = source_suffix
    elif isinstance(source_suffix, (list, tuple)):
        # Sphinx >= 1.3 supports list/tuple to define multiple suffixes
        SUFFIX = source_suffix[0]
    elif isinstance(source_suffix, dict):
        # Sphinx >= 1.8 supports a mapping dictionary for multiple suffixes
        SUFFIX = list(source_suffix.keys())[0]  # make a ``list()`` for py2/py3 compatibility
    else:
        # default to .rst
        SUFFIX = '.rst'
else:
    SUFFIX = '.rst'

# Add RTD Static Path. Add to the end because it overwrites previous files.
if not 'html_static_path' in globals():
    html_static_path = []
if os.path.exists('_static'):
    html_static_path.append('_static')

# Define this variable in case it's not defined by the user.
# It defaults to `alabaster` which is the default from Sphinx.
# https://www.sphinx-doc.org/en/master/usage/configuration.html#confval-html_theme
html_theme = globals().get('html_theme', 'alabaster')

#Add project information to the template context.
context = {
    'html_theme': html_theme,
    'current_version': "early-access",
    'version_slug': "early-access",
    'MEDIA_URL': "https://media.readthedocs.com/media/",
    'STATIC_URL': "https://assets.readthedocs.com/",
    'PRODUCTION_DOMAIN': "readthedocs.com",
    'proxied_static_path': "/_/static/",
    'versions': [
    ("v3.5.0", "/en/v3.5.0/"),
    ("v3.4.0", "/en/v3.4.0/"),
    ("v3.3.2", "/en/v3.3.2/"),
    ("v3.3.1", "/en/v3.3.1/"),
    ("v3.3.0", "/en/v3.3.0/"),
    ("v3.2.2", "/en/v3.2.2/"),
    ("v3.2.1", "/en/v3.2.1/"),
    ("v3.2.0", "/en/v3.2.0/"),
    ("v3.2.0b1", "/en/v3.2.0b1/"),
    ("v3.2.0b0", "/en/v3.2.0b0/"),
    ("v3.1.1", "/en/v3.1.1/"),
    ("v3.1.0", "/en/v3.1.0/"),
    ("v3.0.3", "/en/v3.0.3/"),
    ("v3.0.2", "/en/v3.0.2/"),
    ("v3.0.1", "/en/v3.0.1/"),
    ("v2.28.3", "/en/v2.28.3/"),
    ("v2.28.1", "/en/v2.28.1/"),
    ("v2.28.0", "/en/v2.28.0/"),
    ("v2.27.3", "/en/v2.27.3/"),
    ("v2.27.2", "/en/v2.27.2/"),
    ("v2.27.1", "/en/v2.27.1/"),
    ("v2.27.0", "/en/v2.27.0/"),
    ("v2.26.2", "/en/v2.26.2/"),
    ("v2.26.1", "/en/v2.26.1/"),
    ("v2.26.0", "/en/v2.26.0/"),
    ("v2.25.1", "/en/v2.25.1/"),
    ("v2.25.0", "/en/v2.25.0/"),
    ("v2.24.0", "/en/v2.24.0/"),
    ("v2.23.1", "/en/v2.23.1/"),
    ("v2.23.0", "/en/v2.23.0/"),
    ("v2.22.2", "/en/v2.22.2/"),
    ("v2.22.1", "/en/v2.22.1/"),
    ("v2.22.0", "/en/v2.22.0/"),
    ("v2.21.6", "/en/v2.21.6/"),
    ("v2.21.5", "/en/v2.21.5/"),
    ("v2.21.4", "/en/v2.21.4/"),
    ("v2.21.3", "/en/v2.21.3/"),
    ("v2.21.2", "/en/v2.21.2/"),
    ("v2.20.0", "/en/v2.20.0/"),
    ("v2.19.0", "/en/v2.19.0/"),
    ("v2.18.0", "/en/v2.18.0/"),
    ("v2.17.0", "/en/v2.17.0/"),
    ("v2.16.0", "/en/v2.16.0/"),
    ("v2.15.1", "/en/v2.15.1/"),
    ("v2.14.2", "/en/v2.14.2/"),
    ("v2.13.3", "/en/v2.13.3/"),
    ("v2.12.2", "/en/v2.12.2/"),
    ("v2.11.2", "/en/v2.11.2/"),
    ("v2.9.3", "/en/v2.9.3/"),
    ("v2.8.3", "/en/v2.8.3/"),
    ("v2.7.3", "/en/v2.7.3/"),
    ("latest-release", "/en/latest-release/"),
    ("early-access", "/en/early-access/"),
    ],
    'downloads': [ 
    ("pdf", "//datarobot-public-api-client.readthedocs-hosted.com/_/downloads/en/early-access/pdf/"),
    ],
    'subprojects': [ 
    ],
    'slug': 'datarobot-public-api-client',
    'name': u'public_api_client',
    'rtd_language': u'en',
    'programming_language': u'py',
    'canonical_url': '',
    'analytics_code': 'None',
    'single_version': False,
    'conf_py_path': '/sdk_docs/',
    'api_host': 'https://readthedocs.com',
    'github_user': 'datarobot',
    'proxied_api_host': '/_',
    'github_repo': 'public_api_client',
    'github_version': 'early-access',
    'display_github': True,
    'bitbucket_user': 'None',
    'bitbucket_repo': 'None',
    'bitbucket_version': 'early-access',
    'display_bitbucket': False,
    'gitlab_user': 'None',
    'gitlab_repo': 'None',
    'gitlab_version': 'early-access',
    'display_gitlab': False,
    'READTHEDOCS': True,
    'using_theme': (html_theme == "default"),
    'new_theme': (html_theme == "sphinx_rtd_theme"),
    'source_suffix': SUFFIX,
    'ad_free': False,
    'docsearch_disabled': False,
    'user_analytics_code': '',
    'global_analytics_code': 'UA-17997319-2',
    'commit': '5d2503e9',
}

# For sphinx >=1.8 we can use html_baseurl to set the canonical URL.
# https://www.sphinx-doc.org/en/master/usage/configuration.html#confval-html_baseurl
if version_info >= (1, 8):
    if not globals().get('html_baseurl'):
        html_baseurl = context['canonical_url']
    context['canonical_url'] = None





if 'html_context' in globals():
    for key in context:
        if key not in html_context:
            html_context[key] = context[key]
else:
    html_context = context

# Add custom RTD extension
if 'extensions' in globals():
    # Insert at the beginning because it can interfere
    # with other extensions.
    # See https://github.com/rtfd/readthedocs.org/pull/4054
    extensions.insert(0, "readthedocs_ext.readthedocs")
else:
    extensions = ["readthedocs_ext.readthedocs"]

# Add External version warning banner to the external version documentation
if 'tag' == 'external':
    extensions.insert(1, "readthedocs_ext.external_version_warning")
    readthedocs_vcs_url = 'None'
    readthedocs_build_url = 'https://readthedocs.com/projects/datarobot-public-api-client/builds/2364985/'

project_language = 'en'

# User's Sphinx configurations
language_user = globals().get('language', None)
latex_engine_user = globals().get('latex_engine', None)
latex_elements_user = globals().get('latex_elements', None)

# Remove this once xindy gets installed in Docker image and XINDYOPS
# env variable is supported
# https://github.com/rtfd/readthedocs-docker-images/pull/98
latex_use_xindy = False

chinese = any([
    language_user in ('zh_CN', 'zh_TW'),
    project_language in ('zh_CN', 'zh_TW'),
])

japanese = any([
    language_user == 'ja',
    project_language == 'ja',
])

if chinese:
    latex_engine = latex_engine_user or 'xelatex'

    latex_elements_rtd = {
        'preamble': '\\usepackage[UTF8]{ctex}\n',
    }
    latex_elements = latex_elements_user or latex_elements_rtd
elif japanese:
    latex_engine = latex_engine_user or 'platex'

# Make sure our build directory is always excluded
exclude_patterns = globals().get('exclude_patterns', [])
exclude_patterns.extend(['_build'])

[rtd-command-info] start-time: 2024-07-22T17:30:10.225285Z, end-time: 2024-07-22T17:31:24.307545Z, duration: 74, exit-code: 0
python -m sphinx -T -b html -d _build/doctrees -D language=en . $READTHEDOCS_OUTPUT/html
Running Sphinx v5.3.0
Initializing Spelling Checker 8.0.0
making output directory... done
[autosummary] generating autosummary for: CHANGES.rst, autodoc/api_reference.rst, examples/index.rst, getting_started.rst, index.rst, reference/admin/credentials.rst, reference/admin/index.rst, reference/admin/sharing.rst, reference/data/database_connectivity.rst, reference/data/dataset.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
building [html]: targets for 50 source files that are out of date
updating environment: [new config] 50 added, 0 changed, 0 removed
reading sources... [  2%] CHANGES
reading sources... [  4%] autodoc/api_reference
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.
reading sources... [  6%] examples/index
reading sources... [  8%] getting_started
reading sources... [ 10%] index
reading sources... [ 12%] reference/admin/credentials
reading sources... [ 14%] reference/admin/index
reading sources... [ 16%] reference/admin/sharing
reading sources... [ 18%] reference/data/database_connectivity
reading sources... [ 20%] reference/data/dataset
reading sources... [ 22%] reference/data/feature_discovery
reading sources... [ 24%] reference/data/index
reading sources... [ 26%] reference/index
reading sources... [ 28%] reference/mlops/custom_metrics
reading sources... [ 30%] reference/mlops/custom_model
reading sources... [ 32%] reference/mlops/data_exports
reading sources... [ 34%] reference/mlops/deployment
reading sources... [ 36%] reference/mlops/hosted_custom_metrics
reading sources... [ 38%] reference/mlops/index
reading sources... [ 40%] reference/mlops/jobs
reading sources... [ 42%] reference/mlops/key_values
reading sources... [ 44%] reference/mlops/model_registry
reading sources... [ 46%] reference/modeling/blueprint
reading sources... [ 48%] reference/modeling/index
reading sources... [ 50%] reference/modeling/insights/automated_documentation
reading sources... [ 52%] reference/modeling/insights/external_testset
reading sources... [ 54%] reference/modeling/insights/index
reading sources... [ 56%] reference/modeling/insights/prediction_explanations
reading sources... [ 58%] reference/modeling/insights/rating_table
reading sources... [ 60%] reference/modeling/insights/shap_insights
reading sources... [ 62%] reference/modeling/job
reading sources... [ 64%] reference/modeling/model
reading sources... [ 66%] reference/modeling/model_recommendation
reading sources... [ 68%] reference/modeling/prime
reading sources... [ 70%] reference/modeling/project
reading sources... [ 72%] reference/modeling/spec/binary_data
reading sources... [ 74%] reference/modeling/spec/custom_task
reading sources... [ 76%] reference/modeling/spec/datetime_partition
reading sources... [ 78%] reference/modeling/spec/index
reading sources... [ 80%] reference/modeling/spec/monotonic_constraints
reading sources... [ 82%] reference/modeling/spec/segmented_modeling
reading sources... [ 84%] reference/modeling/spec/time_series
reading sources... [ 86%] reference/modeling/spec/unsupervised_anomaly
reading sources... [ 88%] reference/modeling/spec/unsupervised_clustering
reading sources... [ 90%] reference/modeling/spec/visualai
reading sources... [ 92%] reference/predictions/batch_predictions
reading sources... [ 94%] reference/predictions/index
reading sources... [ 96%] reference/predictions/predict_job
reading sources... [ 98%] reference/use_cases/index
reading sources... [100%] reference/use_cases/use_cases

/home/docs/checkouts/readthedocs.org/user_builds/datarobot-public-api-client/envs/early-access/lib/python3.8/site-packages/numpydoc/docscrape.py:449: UserWarning: Unknown section Attributes: in the docstring of CostMetricConfiguration in /home/docs/checkouts/readthedocs.org/user_builds/datarobot-public-api-client/checkouts/early-access/datarobot/_experimental/models/genai/cost_metric_configurations.py.
  warn(msg)
/home/docs/checkouts/readthedocs.org/user_builds/datarobot-public-api-client/envs/early-access/lib/python3.8/site-packages/numpydoc/docscrape.py:449: UserWarning: Unknown section Attributes: in the docstring of SyntheticEvaluationDataset in /home/docs/checkouts/readthedocs.org/user_builds/datarobot-public-api-client/checkouts/early-access/datarobot/_experimental/models/genai/synthetic_evaluation_dataset_generation.py.
  warn(msg)
/home/docs/checkouts/readthedocs.org/user_builds/datarobot-public-api-client/envs/early-access/lib/python3.8/site-packages/numpydoc/docscrape.py:449: UserWarning: Unknown section Parameters: in the docstring of create in /home/docs/checkouts/readthedocs.org/user_builds/datarobot-public-api-client/checkouts/early-access/datarobot/_experimental/models/genai/synthetic_evaluation_dataset_generation.py.
  warn(msg)
/home/docs/checkouts/readthedocs.org/user_builds/datarobot-public-api-client/envs/early-access/lib/python3.8/site-packages/numpydoc/docscrape.py:449: UserWarning: Unknown section Returns: in the docstring of create in /home/docs/checkouts/readthedocs.org/user_builds/datarobot-public-api-client/checkouts/early-access/datarobot/_experimental/models/genai/synthetic_evaluation_dataset_generation.py.
  warn(msg)
/home/docs/checkouts/readthedocs.org/user_builds/datarobot-public-api-client/envs/early-access/lib/python3.8/site-packages/numpydoc/docscrape.py:449: UserWarning: Unknown section Attributes: in the docstring of SidecarModelMetricValidation in /home/docs/checkouts/readthedocs.org/user_builds/datarobot-public-api-client/checkouts/early-access/datarobot/_experimental/models/genai/sidecar_model_metric.py.
  warn(msg)
/home/docs/checkouts/readthedocs.org/user_builds/datarobot-public-api-client/checkouts/early-access/sdk_docs/CHANGES.rst:47: WARNING: Bullet list ends without a blank line; unexpected unindent.
WARNING: error while formatting arguments for datarobot.models.anomaly_assessment.AnomalyAssessmentRecord: __name__
WARNING: error while formatting arguments for datarobot.models.anomaly_assessment.AnomalyAssessmentExplanations: __name__
WARNING: error while formatting arguments for datarobot.models.anomaly_assessment.AnomalyAssessmentPredictionsPreview: __name__
looking for now-outdated files... none found
pickling environment... done
checking consistency... done
preparing documents... done
writing output... [  2%] CHANGES
writing output... [  4%] autodoc/api_reference
writing output... [  6%] examples/index
writing output... [  8%] getting_started
writing output... [ 10%] index
writing output... [ 12%] reference/admin/credentials
writing output... [ 14%] reference/admin/index
writing output... [ 16%] reference/admin/sharing
writing output... [ 18%] reference/data/database_connectivity
writing output... [ 20%] reference/data/dataset
writing output... [ 22%] reference/data/feature_discovery
writing output... [ 24%] reference/data/index
writing output... [ 26%] reference/index
writing output... [ 28%] reference/mlops/custom_metrics
writing output... [ 30%] reference/mlops/custom_model
writing output... [ 32%] reference/mlops/data_exports
writing output... [ 34%] reference/mlops/deployment
writing output... [ 36%] reference/mlops/hosted_custom_metrics
writing output... [ 38%] reference/mlops/index
writing output... [ 40%] reference/mlops/jobs
writing output... [ 42%] reference/mlops/key_values
writing output... [ 44%] reference/mlops/model_registry
writing output... [ 46%] reference/modeling/blueprint
writing output... [ 48%] reference/modeling/index
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Chapter 1.
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[][][]\T1/txtt/m/sl/10 Dataset.create_from_url[][] \T1/qtm/m/n/10 takes .csv da
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[][][]\T1/txtt/m/sl/10 Dataset.create_from_data_source[][] \T1/qtm/m/n/10 takes
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[]\T1/qtm/m/n/10 For mul-ti-class mod-els, you can get a list of per-class lift
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[]\T1/qtm/m/n/10 Just as with the lift and ROC charts, you can use \T1/txtt/m/n
/10 Model \T1/qtm/m/n/10 meth-ods \T1/txtt/m/n/10 get_residuals_chart \T1/qtm/m
/n/10 and
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\T1/qtm/m/n/10 and \T1/txtt/m/n/10 validation_start_date\T1/qtm/m/n/10 . Us-ing
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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-
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0 . You can also re-trieve the de-tailed meta-data us-ing
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[]\T1/qtm/m/n/10 Enough rows of his-tor-i-cal data must be pro-vided to cover t
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l.3862 ...├── american\PYGZus{}bulldog02.jpg
                                                  

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[60] [61] [62 <./sample1.png> <./sample2.png>] [63] [64 <./activation_map1.png>
 <./activation_map2.png>] [65] [66 <./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
[71]
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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
[72] [73] [74] [75] [76] [77] [78] [79] [80]

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l.5241 ...gment\PYGZus{}id}\PYG{l+s+s2}{\PYGZdq{}}
                                                  

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l.5241 ...gment\PYGZus{}id}\PYG{l+s+s2}{\PYGZdq{}}
                                                  
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l.5854     ├── images
                           

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l.5858     ├── data.csv
                             

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l.5858     ├── data.csv
                             
[91] [92] [93] [94] [95] [96] [97]
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\T1/qtm/b/n/10 Note:  \T1/txtt/m/n/10 PredictionExplanations.get_all_as_datafra
me() \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-
[130]
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[]\T1/qtm/m/n/10 Job def-i-ni-tions are only be ex-e-cuted by the sched-uler if
 \T1/txtt/m/n/10 enabled \T1/qtm/m/n/10 is set to \T1/txtt/m/n/10 True\T1/qtm/m
/n/10 . If you have a

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\T1/qtm/m/n/10 job def-i-ni-tion that was pre-vi-ously run-ning as a sched-uled
 job, but should now be stopped, sim-ply

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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
[210]
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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 ) 
[233]
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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 ) 
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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 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/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/it/10 datarobot.TARGET_TYPE.UNSTRUCTURED \T1/qtm/m/n/10 or \T1/qtm/m/
it/10 datarobot.TARGET_TYPE.ANOMALY
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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/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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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 ,
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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.
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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 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
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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
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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
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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
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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
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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/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 baseline_validation_job_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 tests=None\T1/qtm/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
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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/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
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\T1/qtm/m/n/10 Time unit of the pre-dic-tion point round-ing. One of \T1/txtt/m
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\T1/qtm/m/n/10 Time unit of the fea-ture deriva-tion win-dow. One of \T1/txtt/m
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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/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
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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.

Underfull \hbox (badness 10000) in paragraph at lines 49639--49644
[]\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 49639--49644
[][]\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
[572] [573] [574] [575] [576] [577] [578] [579] [580] [581] [582] [583]
[584] [585]
Underfull \hbox (badness 5359) in paragraph at lines 51006--51009
\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
[586] [587] [588] [589] [590] [591] [592] [593] [594] [595] [596] [597]
[598] [599] [600] [601] [602] [603] [604] [605] [606] [607] [608] [609]
[610] [611] [612]
Underfull \hbox (badness 5359) in paragraph at lines 53962--53965
\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
[613] [614] [615] [616] [617] [618] [619] [620] [621] [622] [623] [624]
Underfull \hbox (badness 10000) in paragraph at lines 55302--55307
[]\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 55302--55307
[][]\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
[625] [626] [627] [628] [629] [630]
Underfull \hbox (badness 5592) in paragraph at lines 55910--55916
\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 55910--55916
\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 55958--55963
[]\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 55958--55963
[][]\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
[631] [632] [633] [634] [635]
Underfull \hbox (badness 10000) in paragraph at lines 56290--56298
\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

Underfull \hbox (badness 5726) in paragraph at lines 56290--56298
\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
 such as those re-turned by the

Underfull \hbox (badness 8075) in paragraph at lines 56703--56708
[][]\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
[640] [641] [642] [643] [644] [645] [646] [647] [648] [649] [650]
Underfull \hbox (badness 10000) in paragraph at lines 57808--57812
\T1/qtm/m/n/10 [AnomalyOverTimePlotPreview] a [][]\T1/txtt/m/sl/10 AnomalyOverT
imePlotPreview[][] \T1/qtm/m/n/10 rep-re-sent-ing
[651]
Underfull \hbox (badness 10000) in paragraph at lines 57918--57922
\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
[652]
Underfull \hbox (badness 5359) in paragraph at lines 57994--57997
\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
[653] [654]
Underfull \hbox (badness 10000) in paragraph at lines 58161--58166
\T1/qtm/m/n/10 [str] (Dep-re-cated in ver-sion v3.4) Lift chart data source. Ch
eck

Underfull \hbox (badness 10000) in paragraph at lines 58208--58215
\T1/qtm/m/n/10 [str] (Dep-re-cated in ver-sion v3.4) Lift chart data source. Ch
eck
[655]
Underfull \hbox (badness 10000) in paragraph at lines 58269--58274
\T1/qtm/m/n/10 [str] (Dep-re-cated in ver-sion v3.4) Roc Curve data source. Che
ck

Underfull \hbox (badness 10000) in paragraph at lines 58316--58323
\T1/qtm/m/n/10 [str] (Dep-re-cated in ver-sion v3.4) ROC curve data source. Che
ck
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[668] [669] [670]
Underfull \hbox (badness 10000) in paragraph at lines 59980--59985
[]\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 59980--59985
[][]\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
[671] [672] [673] [674]
Underfull \hbox (badness 10000) in paragraph at lines 60287--60292
[]\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 60287--60292
[][]\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
[675] [676] [677] [678] [679] [680] [681] [682] [683] [684] [685] [686]
[687] [688] [689] [690]
Underfull \hbox (badness 5359) in paragraph at lines 61833--61836
\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
[691] [692] [693] [694] [695] [696] [697] [698] [699] [700] [701]
Underfull \hbox (badness 10000) in paragraph at lines 63173--63178
[]\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 63173--63178
[][]\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
[702] [703] [704] [705] [706] [707] [708]
Underfull \hbox (badness 5592) in paragraph at lines 63781--63787
\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 63781--63787
\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 63829--63834
[]\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 63829--63834
[][]\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
[709] [710] [711] [712] [713] [714] [715] [716] [717] [718] [719]
Overfull \hbox (3.26418pt too wide) in paragraph at lines 65050--65050
\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 65060--65063
[]\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
[720]
Underfull \hbox (badness 10000) in paragraph at lines 65070--65073
[]\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 65080--65084
\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 .

Underfull \hbox (badness 10000) in paragraph at lines 65089--65095
\T1/qtm/m/n/10 [datetime.datetime or None] The start date of hold-out scor-ing 
data. If
[721] [722] [723]
Underfull \hbox (badness 10000) in paragraph at lines 65361--65366
[]\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 ,
[724] [725] [726]
Underfull \hbox (badness 10000) in paragraph at lines 65578--65582
\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 .
[727] [728] [729] [730] [731] [732]
Underfull \hbox (badness 5563) in paragraph at lines 66197--66206
\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
[733] [734]
Underfull \hbox (badness 10000) in paragraph at lines 66388--66391
[]\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 66388--66391
\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.
[735] [736]
Underfull \hbox (badness 10000) in paragraph at lines 66593--66602
\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 66593--66602
\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 66593--66602
\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 ,
[737] [738] [739] [740] [741] [742] [743] [744] [745] [746] [747] [748]
[749]
Underfull \hbox (badness 10000) in paragraph at lines 67950--67953
[]\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 67955--67958
[]\T1/qtm/m/n/10 Com-pute pre-dic-tions for the model and dataset via \T1/txtt/
m/n/10 datarobot.Model.
[750]
Underfull \hbox (badness 6708) in paragraph at lines 68024--68030
\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 68024--68030
\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 68040--68043
[]\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 68045--68048
[]\T1/qtm/m/n/10 Com-pute pre-dic-tions for the model and dataset via \T1/txtt/
m/n/10 datarobot.Model.
[751] [752] [753] [754]
Overfull \hbox (15.28386pt too wide) in paragraph at lines 68449--68449
\T1/qtm/m/it/10 tion_explanations=None\T1/qtm/m/n/10 , 

Overfull \hbox (13.06384pt too wide) in paragraph at lines 68449--68449
\T1/qtm/m/it/10 justed_prediction=None\T1/qtm/m/n/10 , 

Overfull \hbox (46.11383pt too wide) in paragraph at lines 68449--68449
\T1/qtm/m/it/10 justed_prediction_values=None\T1/txtt/m/n/10 )|  

Overfull \hbox (89.36382pt too wide) in paragraph at lines 68537--68537
\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 68537--68537
\T1/qtm/m/it/10 ment_method=None\T1/txtt/m/n/10 )|  
[755] [756] [757] [758] [759] [760] [761] [762] [763] [764] [765] [766]
[767] [768] [769] [770] [771] [772] [773] [774]
Underfull \hbox (badness 10000) in paragraph at lines 70338--70341
[]\T1/qtm/m/n/10 Project.list(search_params={`project_name': `red'}) >>> [Proje
ct(`Prediction Time'),
[775] [776] [777] [778]
Underfull \hbox (badness 10000) in paragraph at lines 70722--70725
\T1/qtm/m/n/10 [ClassMappingAggregationSettings, op-tional] In-stance of \T1/tx
tt/m/n/10 datarobot.helpers.
[779] [780]
Underfull \hbox (badness 10000) in paragraph at lines 70947--70955
\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 70947--70955
\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 70947--70955
\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 70947--70955
\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

[781] [782] [783] [784] [785]
Underfull \hbox (badness 10000) in paragraph at lines 71346--71349
\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
[786] [787] [788] [789] [790] [791] [792] [793] [794] [795] [796] [797]
[798] [799]
Underfull \hbox (badness 5592) in paragraph at lines 72709--72715
\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 72709--72715
\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.
[800]
Underfull \hbox (badness 10000) in paragraph at lines 72781--72786
[]\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 72781--72786
[][]\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
[801] [802] [803] [804] [805] [806] [807]
Underfull \hbox (badness 10000) in paragraph at lines 73582--73587
\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 73582--73587
\T1/txtt/m/n/10 DATETIME_AUTOPILOT_DATA_SAMPLING_METHOD\T1/qtm/m/n/10 . Ap-pli-
ca-ble for OTV projects
[808]
Underfull \hbox (badness 10000) in paragraph at lines 73640--73646
\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 73640--73646
\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 73640--73646
\T1/txtt/m/n/10 predictionBalance\T1/qtm/m/n/10 , \T1/txtt/m/n/10 trueFavorable
AndUnfavorableRateParity \T1/qtm/m/n/10 or
[809] [810]
Underfull \hbox (badness 10000) in paragraph at lines 73823--73827
\T1/qtm/m/n/10 [PartitioningMethod, op-tional] An in-stance of \T1/txtt/m/n/10 
datarobot.helpers.
[811] [812] [813]
Underfull \hbox (badness 10000) in paragraph at lines 74119--74121
\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.
[814] [815] [816]
Underfull \hbox (badness 10000) in paragraph at lines 74412--74415
\T1/qtm/m/n/10 In-stance of the Date-timePar-ti-tion-ing de-fined in \T1/txtt/m
/n/10 datarobot.helpers.
[817] [818] [819] [820]
Underfull \hbox (badness 10000) in paragraph at lines 74861--74867
[]\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
[821] [822] [823] [824] [825] [826] [827] [828]
Underfull \hbox (badness 6047) in paragraph at lines 75746--75749
\T1/qtm/m/n/10 [Optional[RegisteredModelVersionsListFilters]] A Reg-is-tered-Mo
d-elVer-sion-sList-Fil-ters
[829] [830] [831] [832] [833] [834]
Overfull \hbox (0.7738pt too wide) in paragraph at lines 76219--76219
\T1/qtm/m/it/10 rently_deployed\T1/qtm/m/n/10 , 

Overfull \hbox (20.52379pt too wide) in paragraph at lines 76219--76219
\T1/qtm/m/it/10 tered_model_version\T1/qtm/m/n/10 , 

Overfull \hbox (33.44382pt too wide) in paragraph at lines 76219--76219
\T1/qtm/m/it/10 first_deployed_at=None\T1/qtm/m/n/10 , 

Overfull \hbox (35.10382pt too wide) in paragraph at lines 76219--76219
\T1/qtm/m/it/10 first_deployed_by=None\T1/qtm/m/n/10 , 

Overfull \hbox (37.6538pt too wide) in paragraph at lines 76219--76219
\T1/qtm/m/it/10 tion_environment=None\T1/txtt/m/n/10 )|  
[835]
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\T1/qtm/m/it/10 ble_with_leaderboard_model_id=None\T1/qtm/m/n/10 , 

Overfull \hbox (57.84383pt too wide) in paragraph at lines 76276--76276
\T1/qtm/m/it/10 ble_with_model_package_id=None\T1/qtm/m/n/10 , 

Overfull \hbox (1.99382pt too wide) in paragraph at lines 76276--76276
\T1/qtm/m/it/10 for_challenger=None\T1/qtm/m/n/10 , 

Overfull \hbox (1.54384pt too wide) in paragraph at lines 76276--76276
\T1/qtm/m/it/10 tion_threshold=None\T1/qtm/m/n/10 , 

Overfull \hbox (26.68387pt too wide) in paragraph at lines 76276--76276
\T1/qtm/m/it/10 tion_environment_id=None\T1/qtm/m/n/10 , 
[836]
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[985] [986] [987] [988]
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[991] [992] [993] [994] [995]
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][] \T1/qtm/m/n/10 to re-trieve a list of :class: \T1/qtm/m/it/10 Ca-pa-bil-ity


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ate[][] \T1/qtm/m/n/10 for hosted cus-tom met-rics tem-

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\T1/qtm/m/n/10 plates. [][]\T1/txtt/m/sl/10 HostedCustomMetricTemplate.get[][] 
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[996]
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t-Con-fig-u-ra-tion <datarobot._experimental.models.genai.evaluation_dataset_co
nfiguration.EvaluationDatasetConfiguration>

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t-Met-ricAggre-ga-tion <datarobot._experimental.models.genai.evaluation_dataset
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-tion-Dataset <datarobot._experimental.models.genai.synthetic_evaluation_datase
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ric-Val-i-da-tion <datarobot._experimental.models.genai.sidecar_model_metric.Si
decarModelMetricValidation>

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ation.get[][] \T1/qtm/m/n/10 to get a side-car model met-ric val-i-da-

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\T1/qtm/m/n/10 tion. [][]\T1/txtt/m/sl/10 SidecarModelMetricValidation.revalida
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\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.
[997]
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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
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[998] [999]
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[][][]\T1/txtt/m/sl/10 RuntimeParameterValue[][] \T1/qtm/m/n/10 to de-fine run-
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[1000]
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[]\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.
[1001]
Overfull \hbox (95.30997pt too wide) in paragraph at lines 92348--92351
[]\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 92359--92365
[]\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 92359--92365
\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 92367--92369
[]\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>
[1002]
Underfull \hbox (badness 10000) in paragraph at lines 92371--92373
[]\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 92371--92373
\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 92400--92402
[]\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 92459--92461
[]\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
[1003] [1004]
Underfull \hbox (badness 10000) in paragraph at lines 92631--92633
[]\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.
[1005]
Underfull \hbox (badness 10000) in paragraph at lines 92718--92724
\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 92718--92724
[][]\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 92718--92724
\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 92718--92724
\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 92761--92763
[]\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>
[1006]
Underfull \hbox (badness 10000) in paragraph at lines 92796--92798
\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
[1007]
Underfull \hbox (badness 10000) in paragraph at lines 92901--92907
\T1/txtt/m/sl/10 run[][] [][]BatchMonitoringJob.get_status[][] [][]BatchMonitor
ingJob.cancel[][] [][]BatchMonitoringJob.

Underfull \hbox (badness 7888) in paragraph at lines 92933--92935
[]\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 92967--92976
\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 92967--92976
\T1/txtt/m/sl/10 get[][] [][]BatchMonitoringJobDefinition.create[][] [][]BatchM
onitoringJobDefinition.update[][]

Underfull \hbox (badness 10000) in paragraph at lines 92967--92976
[][]\T1/txtt/m/sl/10 BatchMonitoringJobDefinition.delete[][] [][]BatchMonitorin
gJobDefinition.run_on_schedule[][]
[1008]
Underfull \hbox (badness 10000) in paragraph at lines 92989--93002
\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 92989--93002
[][]\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 92989--93002
\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 93038--93040
[]\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 93047--93049
[]\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>
[1009]
Underfull \hbox (badness 10000) in paragraph at lines 93089--93104
\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 93089--93104
[][]\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 93089--93104
[][]\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 93134--93136
[]\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 93158--93160
\T1/txtt/m/sl/10 PredictionExplanations.get_all_as_dataframe()[][] \T1/qtm/m/n/
10 and [][]\T1/txtt/m/sl/10 datarobot.PredictionExplanations.
[1010]
Underfull \hbox (badness 10000) in paragraph at lines 93272--93274
[]\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 93286--93289
[]\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 93296--93299
[]\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 93311--93314
[]\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 93316--93319
[]\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.
[1011]
Underfull \hbox (badness 10000) in paragraph at lines 93326--93329
[]\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.
[1012]
Underfull \hbox (badness 10000) in paragraph at lines 93468--93472
[]\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 93468--93472
[][]\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 93474--93479
[]\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 93474--93479
[][]\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 93505--93509
[]\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 ,
[1013] [1014] [1015] [1016]
Underfull \hbox (badness 10000) in paragraph at lines 93845--93848
[]\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 93850--93852
[]\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 93933--93935
[][][]\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 93937--93939
[][][]\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
[1017]
Underfull \hbox (badness 6364) in paragraph at lines 93969--93971
[]\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 94021--94026
[]\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 94021--94026
\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 -
[1018]
Underfull \hbox (badness 10000) in paragraph at lines 94063--94070
[]\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 94114--94127
\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 94114--94127
\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 94114--94127
\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 94114--94127
\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 94114--94127
\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.
[1019]
Underfull \hbox (badness 10000) in paragraph at lines 94240--94242
[]\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 94258--94261
[]\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
[1020] [1021]
Underfull \hbox (badness 10000) in paragraph at lines 94484--94486
[]\T1/txtt/m/n/10 DatetimeModel.get_feature_fit <datarobot.models.DatetimeModel
.

Underfull \hbox (badness 10000) in paragraph at lines 94510--94513
[]\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 ,
[1022]
Underfull \hbox (badness 6268) in paragraph at lines 94611--94614
[]\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.
[1023]
Underfull \hbox (badness 10000) in paragraph at lines 94646--94650
[]\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 94656--94664
[]\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 94656--94664
\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 94656--94664
\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 94656--94664
\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 94656--94664
\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 94656--94664
[][]\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.
[1024]
Underfull \hbox (badness 10000) in paragraph at lines 94806--94809
[]\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
[1025]
Underfull \hbox (badness 10000) in paragraph at lines 94882--94885
[]\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.
[1026] [1027]
Underfull \hbox (badness 10000) in paragraph at lines 95123--95126
[]\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 95128--95131
[]\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.
[1028]
Underfull \hbox (badness 7907) in paragraph at lines 95299--95304
[]\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 95341--95344
[]\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.
[1029]
Underfull \hbox (badness 10000) in paragraph at lines 95417--95422
[]\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 95417--95422
\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 95442--95450
[][]\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 95442--95450
\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.
[1030]
Underfull \hbox (badness 10000) in paragraph at lines 95513--95516
[]\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 95518--95524
[]\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 95518--95524
\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 95543--95546
[]\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 95548--95555
[]\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 95548--95555
\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 ,
[1031]
Underfull \hbox (badness 8170) in paragraph at lines 95679--95682
[]\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
[1032]
Underfull \hbox (badness 10000) in paragraph at lines 95767--95772
[]\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 95792--95794
[]\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.
[1033]
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[]\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:
[1034] [1035]
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[]\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.

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[]\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.
[1036]
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[]\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
[1037]
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[]\T1/qtm/m/n/10 These meth-ods now pro-vide ad-di-tional meta-data fields in F
ea-ture Im-pact re-sults if called with

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[]\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

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[][]\T1/txtt/m/sl/10 SecondaryDatasetConfigurations.delete[][] \T1/qtm/m/n/10 s
oft deletes a Sec-ondary dataset con-fig-u-ra-tion.
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[]\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.
[1040]
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[]\T1/qtm/m/n/10 Time se-ries model de-ploy-ments now sup-port pre-dic-tion in-
ter-vals. See

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[][]\T1/txtt/m/sl/10 Deployment.get_prediction_intervals_settings[][] \T1/qtm/m
/n/10 and [][]\T1/txtt/m/sl/10 Deployment.

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[]\T1/qtm/m/n/10 It's now pos-si-ble to get fea-ture as-so-ci-a-tion sta-tuses 
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[]\T1/qtm/m/n/10 Method [][]\T1/txtt/m/sl/10 Project.set_target[][] \T1/qtm/m/n
/10 sup-port new op-tional pa-ram-e-ters \T1/txtt/m/n/10 featureEngineeringGrap
hs \T1/qtm/m/n/10 and

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[]\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
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[]\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

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\T1/txtt/m/n/10 monotonic_increasing_featurelist_id \T1/qtm/m/n/10 and \T1/txtt
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[]\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

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[][]\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.

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[][][]\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
[1046]
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[]\T1/qtm/m/n/10 New class for work-ing with model com-pli-ance doc-u-men-ta-ti
on fea-ture of DataRobot: class

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[]\T1/qtm/m/n/10 Cross se-ries fea-tures can now be cre-ated within time se-rie
s mul-ti-series projects us-ing

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\T1/qtm/m/n/10 the \T1/txtt/m/n/10 use_cross_series_features \T1/qtm/m/n/10 and
 \T1/txtt/m/n/10 aggregation_type \T1/qtm/m/n/10 at-tributes of the [][]\T1/txt
t/m/sl/10 datarobot.
[1047]
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[]\T1/qtm/m/n/10 New \T1/txtt/m/n/10 number_of_known_in_advance_features \T1/qt
m/m/n/10 at-tribute has been added to the [][]\T1/txtt/m/sl/10 datarobot.

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[]\T1/qtm/m/n/10 Train-ing pre-dic-tions for date-time par-ti-tioned projects n
ow sup-port the new data sub-set
[1048]
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[]\T1/qtm/m/n/10 New meth-ods and ob-jects, in-clud-ing [][]\T1/txtt/m/sl/10 Mo
del.start_advanced_tuning_session[][]\T1/qtm/m/n/10 , [][]\T1/txtt/m/sl/10 Mode
l.

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\T1/txtt/m/sl/10 get_advanced_tuning_parameters[][]\T1/qtm/m/n/10 , [][]\T1/txt
t/m/sl/10 Model.advanced_tune[][]\T1/qtm/m/n/10 , and [][]\T1/txtt/m/sl/10 Adva
ncedTuningSession[][]\T1/qtm/m/n/10 , were

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[]\T1/qtm/m/n/10 A cus-tom pre-dic-tion thresh-old may now be con-fig-ured for 
each model via [][]\T1/txtt/m/sl/10 Model.

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[]\T1/qtm/m/n/10 In-di-vid-ual cross val-i-da-tion scores can be re-trieved for
 new mod-els us-ing [][]\T1/txtt/m/sl/10 Model.

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[][][]\T1/txtt/m/sl/10 ModelRecommendation.get[][] \T1/qtm/m/n/10 now ac-cepts 
an op-tional pa-ram-e-ter of type \T1/txtt/m/n/10 datarobot.enums.
[1049]
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[]\T1/qtm/m/n/10 Added a new fea-ture to re-trieve fea-ture logs for time se-ri
es projects. Check [][]\T1/txtt/m/sl/10 datarobot.

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\T1/txtt/m/sl/10 DatetimePartitioning.feature_log_list()[][] \T1/qtm/m/n/10 and
 [][]\T1/txtt/m/sl/10 datarobot.DatetimePartitioning.
[1050] [1051] [1052] [1053] [1054] [1055] [1056] [1057] [1058] [1059] [1060]
[1061] [1062]
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[]\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
[1063]
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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
[1064] [1065] [1066] [1067] [1068] (./datarobot-public-api-client.ind [1069]
[1070] [1071]
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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 ),
[1072] [1073]
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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
[1074] [1075] [1076]
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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 ),
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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 ),
[1079]
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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
[1080]
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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
[1081] [1082] [1083] [1084]
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[]\T1/txtt/m/n/10 get_buckets_as_dataframe() \T1/qtm/m/n/10 (\T1/qtm/m/it/10 da
tarobot.models.deployment.custom_metrics.CustomMetricValuesOverBatch

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

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[]\T1/txtt/m/n/10 get_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
[1085]
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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
[1086] [1087] [1088] [1089]
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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
[1090]
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[]\T1/txtt/m/n/10 is_model_compliance_initialized \T1/qtm/m/n/10 (\T1/qtm/m/it/
10 datarobot.models.automated_documentation.AutomatedDocument prop-
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[]\T1/txtt/m/n/10 list() \T1/qtm/m/n/10 (\T1/qtm/m/it/10 datarobot._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
[1092] [1093]
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[]\T1/txtt/m/n/10 list_all_available_document_types() \T1/qtm/m/n/10 (\T1/qtm/m
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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
[1094]
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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
[1095] [1096] [1097]
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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
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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 ),
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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
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[1101]
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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 ),
[1102]
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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
[1103]) [1104] (./datarobot-public-api-client.aux)

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[1] [2] [1] [2]
Chapter 1.
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Chapter 2.
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[][][]\T1/txtt/m/sl/10 Dataset.create_from_url[][] \T1/qtm/m/n/10 takes .csv 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

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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
[37] [38] [39] [40] [41] [42] [43] [44]
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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.
[45]
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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
[46]
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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
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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
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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\
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[]\T1/qtm/m/n/10 Up-load a pre-dic-tion dataset that con-tains la-bel col-umn(s
), re-quest com-pute ex-ter-nal test on one of
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l.5857     ├  ├──animal03.png
                                      

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l.5857     ├  ├──animal03.png
                                      

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l.5858     ├── data.csv
                             

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l.5858     ├── data.csv
                             

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l.5858     ├── data.csv
                             
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\T1/qtm/b/n/10 Note:  \T1/txtt/m/n/10 PredictionExplanations.get_all_as_datafra
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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
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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
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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 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 ) 
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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 ) 
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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 tered_model_id\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_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/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/it/10 datarobot.TARGET_TYPE.UNSTRUCTURED \T1/qtm/m/n/10 or \T1/qtm/m/
it/10 datarobot.TARGET_TYPE.ANOMALY
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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/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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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
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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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Underfull \hbox (badness 10000) in paragraph at lines 26457--26460
\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 ^^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 ,
[348]
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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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[377] [378] [379] [380] [381] [382]
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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/it/10 only_matched_predictions=None\T1/qtm/m/n/10 , 
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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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Underfull \hbox (badness 10000) in paragraph at lines 37172--37177
\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
[450]
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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/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 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 42531--42534
[]\T1/qtm/m/n/10 E.g. The prob-a-bil-ity P(A=0,B=1) can be re-trieved via:

Underfull \hbox (badness 10000) in paragraph at lines 42531--42534
\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 ,
[503]
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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/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 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/it/10 ff_metadata_datetime_per_backtest\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
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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
[565] [566] [567] [568] [569] [570] [571]
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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.

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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 49639--49644
[][]\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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Underfull \hbox (badness 8075) in paragraph at lines 55302--55307
[][]\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
[625] [626] [627] [628] [629] [630]
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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.

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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
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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
[652]
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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
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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
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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 60287--60292
[][]\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
[675] [676] [677] [678] [679] [680] [681] [682] [683] [684] [685] [686]
[687] [688] [689] [690]
Underfull \hbox (badness 5359) in paragraph at lines 61833--61836
\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
[691] [692] [693] [694] [695] [696] [697] [698] [699] [700] [701]
Underfull \hbox (badness 10000) in paragraph at lines 63173--63178
[]\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 63173--63178
[][]\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
[702] [703] [704] [705] [706] [707] [708]
Underfull \hbox (badness 5592) in paragraph at lines 63781--63787
\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 63781--63787
\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 63829--63834
[]\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 63829--63834
[][]\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
[709] [710] [711] [712] [713] [714] [715] [716] [717] [718] [719]
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\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 65060--65063
[]\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
[720]
Underfull \hbox (badness 10000) in paragraph at lines 65070--65073
[]\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 65080--65084
\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 .

Underfull \hbox (badness 10000) in paragraph at lines 65089--65095
\T1/qtm/m/n/10 [datetime.datetime or None] The start date of hold-out scor-ing 
data. If
[721] [722] [723]
Underfull \hbox (badness 10000) in paragraph at lines 65361--65366
[]\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 ,
[724] [725] [726]
Underfull \hbox (badness 10000) in paragraph at lines 65578--65582
\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 .
[727] [728] [729] [730] [731] [732]
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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
[733] [734]
Underfull \hbox (badness 10000) in paragraph at lines 66388--66391
[]\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 66388--66391
\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.
[735] [736]
Underfull \hbox (badness 10000) in paragraph at lines 66593--66602
\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 66593--66602
\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 66593--66602
\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 ,
[737] [738] [739] [740] [741] [742] [743] [744] [745] [746] [747] [748]
[749]
Underfull \hbox (badness 10000) in paragraph at lines 67950--67953
[]\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 67955--67958
[]\T1/qtm/m/n/10 Com-pute pre-dic-tions for the model and dataset via \T1/txtt/
m/n/10 datarobot.Model.
[750]
Underfull \hbox (badness 6708) in paragraph at lines 68024--68030
\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 68024--68030
\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 68040--68043
[]\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 68045--68048
[]\T1/qtm/m/n/10 Com-pute pre-dic-tions for the model and dataset via \T1/txtt/
m/n/10 datarobot.Model.
[751] [752] [753] [754]
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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 )|  

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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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[767] [768] [769] [770] [771] [772] [773] [774]
Underfull \hbox (badness 10000) in paragraph at lines 70338--70341
[]\T1/qtm/m/n/10 Project.list(search_params={`project_name': `red'}) >>> [Proje
ct(`Prediction Time'),
[775] [776] [777] [778]
Underfull \hbox (badness 10000) in paragraph at lines 70722--70725
\T1/qtm/m/n/10 [ClassMappingAggregationSettings, op-tional] In-stance of \T1/tx
tt/m/n/10 datarobot.helpers.
[779] [780]
Underfull \hbox (badness 10000) in paragraph at lines 70947--70955
\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 70947--70955
\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 70947--70955
\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 70947--70955
\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

[781] [782] [783] [784] [785]
Underfull \hbox (badness 10000) in paragraph at lines 71346--71349
\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
[786] [787] [788] [789] [790] [791] [792] [793] [794] [795] [796] [797]
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Underfull \hbox (badness 5592) in paragraph at lines 72709--72715
\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 72709--72715
\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.
[800]
Underfull \hbox (badness 10000) in paragraph at lines 72781--72786
[]\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 72781--72786
[][]\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
[801] [802] [803] [804] [805] [806] [807]
Underfull \hbox (badness 10000) in paragraph at lines 73582--73587
\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 73582--73587
\T1/txtt/m/n/10 DATETIME_AUTOPILOT_DATA_SAMPLING_METHOD\T1/qtm/m/n/10 . Ap-pli-
ca-ble for OTV projects
[808]
Underfull \hbox (badness 10000) in paragraph at lines 73640--73646
\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 73640--73646
\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 73640--73646
\T1/txtt/m/n/10 predictionBalance\T1/qtm/m/n/10 , \T1/txtt/m/n/10 trueFavorable
AndUnfavorableRateParity \T1/qtm/m/n/10 or
[809] [810]
Underfull \hbox (badness 10000) in paragraph at lines 73823--73827
\T1/qtm/m/n/10 [PartitioningMethod, op-tional] An in-stance of \T1/txtt/m/n/10 
datarobot.helpers.
[811] [812] [813]
Underfull \hbox (badness 10000) in paragraph at lines 74119--74121
\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.
[814] [815] [816]
Underfull \hbox (badness 10000) in paragraph at lines 74412--74415
\T1/qtm/m/n/10 In-stance of the Date-timePar-ti-tion-ing de-fined in \T1/txtt/m
/n/10 datarobot.helpers.
[817] [818] [819] [820]
Underfull \hbox (badness 10000) in paragraph at lines 74861--74867
[]\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
[821] [822] [823] [824] [825] [826] [827] [828]
Underfull \hbox (badness 6047) in paragraph at lines 75746--75749
\T1/qtm/m/n/10 [Optional[RegisteredModelVersionsListFilters]] A Reg-is-tered-Mo
d-elVer-sion-sList-Fil-ters
[829] [830] [831] [832] [833] [834]
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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 )|  
[835]
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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 , 
[836]
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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 , 
[837] [838] [839] [840] [841] [842] [843] [844] [845] [846] [847] [848]
[849] [850] [851] [852] [853] [854] [855] [856] [857] [858] [859] [860]
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\T1/qtm/m/it/10 not_added_to_menu=None\T1/qtm/m/n/10 , 
[874]
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\T1/qtm/m/it/10 **kwargs\T1/txtt/m/n/10 )|  
[875]
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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 )|  
[876]
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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 , 
[877] [878] [879] [880] [881] [882] [883] [884] [885] [886] [887] [888]
[889] [890] [891] [892] [893] [894] [895] [896] [897] [898] [899] [900]
[901] [902] [903]
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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 , 
[904]
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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 tinue_on_error=False\T1/qtm/m/n/10 , 
[907]
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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 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 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 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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[985] [986] [987] [988]
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[989] [990]
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[991] [992] [993] [994] [995]
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[]\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


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[]\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-

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\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.
[996]
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[][]\T1/txtt/m/sl/10 HostedCustomMetricBlueprint.get[][] \T1/qtm/m/n/10 to get 
a hosted cus-tom met-ric blueprint.

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[][]\T1/txtt/m/sl/10 HostedCustomMetricBlueprint.create[][] \T1/qtm/m/n/10 to c
re-ate a hosted cus-tom met-ric blueprint.

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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-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>

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[]\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>

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[]\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>

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\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-

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\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-

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\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-

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\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.
[997]
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[]\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

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\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:

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\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
[998] [999]
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[][][]\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
[1000]
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[]\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.
[1001]
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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>

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\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

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[]\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>
[1002]
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[]\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 ,

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\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

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[]\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

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[]\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
[1003] [1004]
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[]\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.
[1005]
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\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.

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[][]\T1/txtt/m/sl/10 RegisteredModelVersion.list_associated_deployments[][] \T1
/qtm/m/n/10 to list de-ploy-ments as-so-ci-ated with

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\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-

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\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.

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[]\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>
[1006]
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\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
[1007]
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\T1/txtt/m/sl/10 run[][] [][]BatchMonitoringJob.get_status[][] [][]BatchMonitor
ingJob.cancel[][] [][]BatchMonitoringJob.

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[]\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 92967--92976
\T1/qtm/m/n/10 and run_once [][]\T1/txtt/m/sl/10 BatchMonitoringJobDefinition.l
ist[][] [][]BatchMonitoringJobDefinition.

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\T1/txtt/m/sl/10 get[][] [][]BatchMonitoringJobDefinition.create[][] [][]BatchM
onitoringJobDefinition.update[][]

Underfull \hbox (badness 10000) in paragraph at lines 92967--92976
[][]\T1/txtt/m/sl/10 BatchMonitoringJobDefinition.delete[][] [][]BatchMonitorin
gJobDefinition.run_on_schedule[][]
[1008]
Underfull \hbox (badness 10000) in paragraph at lines 92989--93002
\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 92989--93002
[][]\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 92989--93002
\T1/txtt/m/sl/10 create_from_dataset[][] [][]Project.create_segmented_project_f
rom_clustering_model[][] [][]Project.

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[]\T1/qtm/m/n/10 If the user con-fig-ures the client via env vars, then set the
 env var

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[]\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>
[1009]
Underfull \hbox (badness 10000) in paragraph at lines 93089--93104
\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 93089--93104
[][]\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 93089--93104
[][]\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 93134--93136
[]\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 93158--93160
\T1/txtt/m/sl/10 PredictionExplanations.get_all_as_dataframe()[][] \T1/qtm/m/n/
10 and [][]\T1/txtt/m/sl/10 datarobot.PredictionExplanations.
[1010]
Underfull \hbox (badness 10000) in paragraph at lines 93272--93274
[]\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 93286--93289
[]\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 93296--93299
[]\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 93311--93314
[]\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 93316--93319
[]\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.
[1011]
Underfull \hbox (badness 10000) in paragraph at lines 93326--93329
[]\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.
[1012]
Underfull \hbox (badness 10000) in paragraph at lines 93468--93472
[]\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 93468--93472
[][]\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 93474--93479
[]\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 93474--93479
[][]\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 93505--93509
[]\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 ,
[1013] [1014] [1015] [1016]
Underfull \hbox (badness 10000) in paragraph at lines 93845--93848
[]\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 93850--93852
[]\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 93933--93935
[][][]\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 93937--93939
[][][]\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
[1017]
Underfull \hbox (badness 6364) in paragraph at lines 93969--93971
[]\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 94021--94026
[]\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 94021--94026
\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 -
[1018]
Underfull \hbox (badness 10000) in paragraph at lines 94063--94070
[]\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 94114--94127
\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 94114--94127
\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 94114--94127
\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 94114--94127
\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 94114--94127
\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.
[1019]
Underfull \hbox (badness 10000) in paragraph at lines 94240--94242
[]\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 94258--94261
[]\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
[1020] [1021]
Underfull \hbox (badness 10000) in paragraph at lines 94484--94486
[]\T1/txtt/m/n/10 DatetimeModel.get_feature_fit <datarobot.models.DatetimeModel
.

Underfull \hbox (badness 10000) in paragraph at lines 94510--94513
[]\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 ,
[1022]
Underfull \hbox (badness 6268) in paragraph at lines 94611--94614
[]\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.
[1023]
Underfull \hbox (badness 10000) in paragraph at lines 94646--94650
[]\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 94656--94664
[]\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 94656--94664
\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 94656--94664
\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 94656--94664
\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 94656--94664
\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 94656--94664
[][]\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.
[1024]
Underfull \hbox (badness 10000) in paragraph at lines 94806--94809
[]\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
[1025]
Underfull \hbox (badness 10000) in paragraph at lines 94882--94885
[]\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.
[1026] [1027]
Underfull \hbox (badness 10000) in paragraph at lines 95123--95126
[]\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 95128--95131
[]\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.
[1028]
Underfull \hbox (badness 7907) in paragraph at lines 95299--95304
[]\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 95341--95344
[]\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.
[1029]
Underfull \hbox (badness 10000) in paragraph at lines 95417--95422
[]\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 95417--95422
\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 95442--95450
[][]\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 95442--95450
\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.
[1030]
Underfull \hbox (badness 10000) in paragraph at lines 95513--95516
[]\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 95518--95524
[]\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 95518--95524
\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 95543--95546
[]\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 95548--95555
[]\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 95548--95555
\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 ,
[1031]
Underfull \hbox (badness 8170) in paragraph at lines 95679--95682
[]\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
[1032]
Underfull \hbox (badness 10000) in paragraph at lines 95767--95772
[]\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 95792--95794
[]\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.
[1033]
Underfull \hbox (badness 10000) in paragraph at lines 95914--95917
[]\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:
[1034] [1035]
Underfull \hbox (badness 10000) in paragraph at lines 96057--96066
[]\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 96068--96075
[]\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.
[1036]
Underfull \hbox (badness 10000) in paragraph at lines 96268--96272
[]\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
[1037]
Underfull \hbox (badness 8132) in paragraph at lines 96306--96311
[]\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 96326--96330
[]\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 96326--96330
[][]\T1/txtt/m/sl/10 SecondaryDatasetConfigurations.delete[][] \T1/qtm/m/n/10 s
oft deletes a Sec-ondary dataset con-fig-u-ra-tion.
[1038] [1039]
Underfull \hbox (badness 10000) in paragraph at lines 96596--96600
[]\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.
[1040]
Underfull \hbox (badness 10000) in paragraph at lines 96664--96668
[]\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 96664--96668
[][]\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 96717--96720
[]\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 96754--96756
[]\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 96762--96767
[]\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
[1041] [1042]
Underfull \hbox (badness 10000) in paragraph at lines 96844--96846
[]\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 96844--96846
\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
[1043] [1044] [1045]
Underfull \hbox (badness 10000) in paragraph at lines 97134--97143
[]\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 97134--97143
[][]\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 97173--97175
[][][]\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
[1046]
Underfull \hbox (badness 10000) in paragraph at lines 97295--97298
[]\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 97314--97319
[]\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 97314--97319
\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.
[1047]
Underfull \hbox (badness 10000) in paragraph at lines 97345--97349
[]\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 97376--97380
[]\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
[1048]
Underfull \hbox (badness 10000) in paragraph at lines 97435--97443
[]\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 97435--97443
\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 97458--97461
[]\T1/qtm/m/n/10 A cus-tom pre-dic-tion thresh-old may now be con-fig-ured for 
each model via [][]\T1/txtt/m/sl/10 Model.

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[]\T1/qtm/m/n/10 In-di-vid-ual cross val-i-da-tion scores can be re-trieved for
 new mod-els us-ing [][]\T1/txtt/m/sl/10 Model.

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[][][]\T1/txtt/m/sl/10 ModelRecommendation.get[][] \T1/qtm/m/n/10 now ac-cepts 
an op-tional pa-ram-e-ter of type \T1/txtt/m/n/10 datarobot.enums.
[1049]
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[]\T1/qtm/m/n/10 Added a new fea-ture to re-trieve fea-ture logs for time se-ri
es projects. Check [][]\T1/txtt/m/sl/10 datarobot.

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\T1/txtt/m/sl/10 DatetimePartitioning.feature_log_list()[][] \T1/qtm/m/n/10 and
 [][]\T1/txtt/m/sl/10 datarobot.DatetimePartitioning.
[1050] [1051] [1052] [1053] [1054] [1055] [1056] [1057] [1058] [1059] [1060]
[1061] [1062]
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[]\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
[1063]
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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
[1064] [1065] [1066] [1067] [1068] (./datarobot-public-api-client.ind [1069]
[1070] [1071]
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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 ),
[1072] [1073]
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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
[1074] [1075] [1076]
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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 ),
[1077] [1078]
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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 ),
[1079]
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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
[1080]
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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
[1081] [1082] [1083] [1084]
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[]\T1/txtt/m/n/10 get_buckets_as_dataframe() \T1/qtm/m/n/10 (\T1/qtm/m/it/10 da
tarobot.models.deployment.custom_metrics.CustomMetricValuesOverBatch

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

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[]\T1/txtt/m/n/10 get_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
[1085]
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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
[1086] [1087] [1088] [1089]
Underfull \hbox (badness 10000) in paragraph at lines 1755--1757
[]\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
[1090]
Underfull \hbox (badness 10000) in paragraph at lines 1849--1851
[]\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-
[1091]
Underfull \hbox (badness 10000) in paragraph at lines 1892--1894
[]\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
[1092] [1093]
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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
[1094]
Underfull \hbox (badness 10000) in paragraph at lines 2156--2158
[]\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
[1095] [1096] [1097]
Underfull \hbox (badness 10000) in paragraph at lines 2435--2437
[]\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
[1098] [1099]
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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 ),
[1100]
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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
[1101]
Underfull \hbox (badness 10000) in paragraph at lines 2699--2701
[]\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 ),
[1102]
Underfull \hbox (badness 7722) in paragraph at lines 2846--2848
[]\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
[1103]) [1104] (./datarobot-public-api-client.aux) )
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Output written on datarobot-public-api-client.pdf (1108 pages, 4343794 bytes).
Transcript written on datarobot-public-api-client.log.
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=== TeX engine is 'pdfTeX'
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Collected error summary (may duplicate other messages):
  pdflatex: Command for 'pdflatex' gave return code 1
      Refer to 'datarobot-public-api-client.log' for details