chore(deps): update dependency scikit-learn to <1.6 - autoclosed

[renovate]

This PR contains the following updates:

Package	Change	Age	Adoption	Passing	Confidence
scikit-learn (source, changelog)	<1.2 -> <1.6

---

Release Notes

scikit-learn/scikit-learn (scikit-learn)

v1.5.1: Scikit-learn 1.5.1

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We're happy to announce the 1.5.1 release.

This release contains fixes for a few regressions introduced in 1.5.

You can see the changelog here: https://scikit-learn.org/stable/whats_new/v1.5.html#version-1-5-1

You can upgrade with pip as usual:

pip install -U scikit-learn

The conda-forge builds can be installed using:

conda install -c conda-forge scikit-learn

Thanks to everyone who contributed to this release !

v1.5.0: Scikit-learn 1.5.0

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We're happy to announce the 1.5.0 release.

You can read the release highlights under https://scikit-learn.org/stable/auto_examples/release_highlights/plot_release_highlights\_1\_5\_0.html and the long version of the change log under https://scikit-learn.org/stable/whats_new/v1.5.html

This version supports Python versions 3.9 to 3.12.

You can upgrade with pip as usual:

pip install -U scikit-learn

The conda-forge builds can be installed using:

conda install -c conda-forge scikit-learn

v1.4.2: Scikit-learn 1.4.2

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We're happy to announce the 1.4.2 release.

This release only includes support for numpy 2.

This version supports Python versions 3.9 to 3.12.

You can upgrade with pip as usual:

pip install -U scikit-learn

v1.4.1.post1: Scikit-learn 1.4.1.post1

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We're happy to announce the 1.4.1.post1 release.

You can see the changelog here: https://scikit-learn.org/stable/whats_new/v1.4.html#version-1-4-1-post1

This version supports Python versions 3.9 to 3.12.

You can upgrade with pip as usual:

pip install -U scikit-learn

The conda-forge builds can be installed using:

conda install -c conda-forge scikit-learn

v1.4.0

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v1.3.2: Scikit-learn 1.3.2

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We're happy to announce the 1.3.2 release.

You can see the changelog here: https://scikit-learn.org/stable/whats_new/v1.3.html#version-1-3-2

This version supports Python versions 3.8 to 3.12.

You can upgrade with pip as usual:

pip install -U scikit-learn

The conda-forge builds can be installed using:

conda install -c conda-forge scikit-learn

v1.3.1: Scikit-learn 1.3.1

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We're happy to announce the 1.3.1 release.

You can see the changelog here: https://scikit-learn.org/stable/whats_new/v1.3.html#version-1-3-1

This version supports Python versions 3.8 to 3.12.

You can upgrade with pip as usual:

pip install -U scikit-learn

The conda-forge builds can be installed using:

conda install -c conda-forge scikit-learn

v1.3.0: Scikit-learn 1.3.0

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We're happy to announce the 1.3.0 release.

You can read the release highlights under https://scikit-learn.org/stable/auto_examples/release_highlights/plot_release_highlights\_1\_3\_0.html and the long version of the change log under https://scikit-learn.org/stable/whats_new/v1.3.html

This version supports Python versions 3.8 to 3.11.

You can upgrade with pip as usual:

pip install -U scikit-learn

The conda-forge builds can be installed using:

conda install -c conda-forge scikit-learn

v1.2.2: Scikit-learn 1.2.2

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We're happy to announce the 1.2.2 release.

You can see the changelog here: https://scikit-learn.org/stable/whats_new/v1.2.html#version-1-2-2

You can upgrade with pip as usual:

pip install -U scikit-learn

The conda-forge builds will be available shortly, which you can then install using:

conda install -c conda-forge scikit-learn

v1.2.1: scikit-learn 1.2.1

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We're happy to announce the 1.2.1 release.

You can see the changelog here: https://scikit-learn.org/stable/whats_new/v1.2.html#version-1-2-1

You can upgrade with pip as usual:

pip install -U scikit-learn

The conda-forge builds will be available shortly, which you can then install using:

conda install -c conda-forge scikit-learn

v1.2.0: Scikit-learn 1.2.0

Compare Source

We're happy to announce the 1.2.0 release.

You can read the release highlights under https://scikit-learn.org/stable/auto_examples/release_highlights/plot_release_highlights\_1\_2\_0.html and the long version of the change log under https://scikit-learn.org/stable/whats_new/v1.2.html

This version supports Python versions 3.8 to 3.11.

---

Configuration

📅 Schedule: Branch creation - "on the 2nd and 4th day instance on sunday" (UTC), Automerge - At any time (no schedule defined).

🚦 Automerge: Disabled by config. Please merge this manually once you are satisfied.

♻ Rebasing: Whenever PR is behind base branch, or you tick the rebase/retry checkbox.

🔕 Ignore: Close this PR and you won't be reminded about this update again.

---

• If you want to rebase/retry this PR, check this box

---

This PR was generated by Mend Renovate. View the repository job log.

[renovate]

⚠️ Artifact update problem

Renovate failed to update an artifact related to this branch. You probably do not want to merge this PR as-is.

♻ Renovate will retry this branch, including artifacts, only when one of the following happens:

• any of the package files in this branch needs updating, or
• the branch becomes conflicted, or
• you click the rebase/retry checkbox if found above, or
• you rename this PR's title to start with "rebase!" to trigger it manually

The artifact failure details are included below:

File name: tests/notebooks/e2e-wine/requirements.txt

Command failed: pip-compile requirements.in
  ERROR: Cannot install numpy because these package versions have conflicting dependencies.
Discarding numpy==1.26.4 (from -r requirements.txt (line 132)) to proceed the resolution
  ERROR: Cannot install -r requirements.in (line 6) because these package versions have conflicting dependencies.
Discarding matplotlib==3.9.1 (from -r requirements.txt (line 124)) to proceed the resolution
  ERROR: Cannot install -r requirements.in (line 6) because these package versions have conflicting dependencies.
Discarding scipy==1.14.0 (from -r requirements.txt (line 228)) to proceed the resolution
  ERROR: Cannot install -r requirements.in (line 6) because these package versions have conflicting dependencies.
Discarding shap==0.46.0 (from -r requirements.txt (line 233)) to proceed the resolution
  ERROR: Cannot install mlflow because these package versions have conflicting dependencies.
Discarding slicer==0.0.8 (from -r requirements.txt (line 242)) to proceed the resolution
  ERROR: Cannot install mlflow because these package versions have conflicting dependencies.
Discarding numba==0.60.0 (from -r requirements.txt (line 130)) to proceed the resolution
    error: subprocess-exited-with-error
    
    × python setup.py egg_info did not run successfully.
    │ exit code: 1
    ╰─> [6 lines of output]
        Traceback (most recent call last):
          File "<string>", line 2, in <module>
          File "<pip-setuptools-caller>", line 34, in <module>
          File "/tmp/pip-resolve-hgitll04/numba_b0387bb348b249e39ab4d6e776e6eafc/setup.py", line 15, in <module>
            import numpy as np
        ModuleNotFoundError: No module named 'numpy'
        [end of output]
    
    note: This error originates from a subprocess, and is likely not a problem with pip.
Traceback (most recent call last):
  File "/opt/containerbase/tools/pip-tools/7.4.1/3.8.10/lib/python3.8/site-packages/pip/_internal/operations/build/metadata_legacy.py", line 64, in generate_metadata
    call_subprocess(
  File "/opt/containerbase/tools/pip-tools/7.4.1/3.8.10/lib/python3.8/site-packages/pip/_internal/utils/subprocess.py", line 209, in call_subprocess
    raise error
pip._internal.exceptions.InstallationSubprocessError: python setup.py egg_info exited with 1

The above exception was the direct cause of the following exception:

Traceback (most recent call last):
  File "/opt/containerbase/tools/pip-tools/7.4.1/3.8.10/bin/pip-compile", line 8, in <module>
    sys.exit(cli())
  File "/opt/containerbase/tools/pip-tools/7.4.1/3.8.10/lib/python3.8/site-packages/click/core.py", line 1157, in __call__
    return self.main(*args, **kwargs)
  File "/opt/containerbase/tools/pip-tools/7.4.1/3.8.10/lib/python3.8/site-packages/click/core.py", line 1078, in main
    rv = self.invoke(ctx)
  File "/opt/containerbase/tools/pip-tools/7.4.1/3.8.10/lib/python3.8/site-packages/click/core.py", line 1434, in invoke
    return ctx.invoke(self.callback, **ctx.params)
  File "/opt/containerbase/tools/pip-tools/7.4.1/3.8.10/lib/python3.8/site-packages/click/core.py", line 783, in invoke
    return __callback(*args, **kwargs)
  File "/opt/containerbase/tools/pip-tools/7.4.1/3.8.10/lib/python3.8/site-packages/click/decorators.py", line 33, in new_func
    return f(get_current_context(), *args, **kwargs)
  File "/opt/containerbase/tools/pip-tools/7.4.1/3.8.10/lib/python3.8/site-packages/piptools/scripts/compile.py", line 470, in cli
    results = resolver.resolve(max_rounds=max_rounds)
  File "/opt/containerbase/tools/pip-tools/7.4.1/3.8.10/lib/python3.8/site-packages/piptools/resolver.py", line 604, in resolve
    is_resolved = self._do_resolve(
  File "/opt/containerbase/tools/pip-tools/7.4.1/3.8.10/lib/python3.8/site-packages/piptools/resolver.py", line 636, in _do_resolve
    resolver.resolve(
  File "/opt/containerbase/tools/pip-tools/7.4.1/3.8.10/lib/python3.8/site-packages/pip/_internal/resolution/resolvelib/resolver.py", line 95, in resolve
    result = self._result = resolver.resolve(
  File "/opt/containerbase/tools/pip-tools/7.4.1/3.8.10/lib/python3.8/site-packages/pip/_vendor/resolvelib/resolvers.py", line 546, in resolve
    state = resolution.resolve(requirements, max_rounds=max_rounds)
  File "/opt/containerbase/tools/pip-tools/7.4.1/3.8.10/lib/python3.8/site-packages/pip/_vendor/resolvelib/resolvers.py", line 427, in resolve
    failure_causes = self._attempt_to_pin_criterion(name)
  File "/opt/containerbase/tools/pip-tools/7.4.1/3.8.10/lib/python3.8/site-packages/pip/_vendor/resolvelib/resolvers.py", line 237, in _attempt_to_pin_criterion
    for candidate in criterion.candidates:
  File "/opt/containerbase/tools/pip-tools/7.4.1/3.8.10/lib/python3.8/site-packages/pip/_internal/resolution/resolvelib/found_candidates.py", line 162, in <genexpr>
    return (c for c in iterator if id(c) not in self._incompatible_ids)
  File "/opt/containerbase/tools/pip-tools/7.4.1/3.8.10/lib/python3.8/site-packages/pip/_internal/resolution/resolvelib/found_candidates.py", line 53, in _iter_built
    candidate = func()
  File "/opt/containerbase/tools/pip-tools/7.4.1/3.8.10/lib/python3.8/site-packages/pip/_internal/resolution/resolvelib/factory.py", line 185, in _make_candidate_from_link
    base: Optional[BaseCandidate] = self._make_base_candidate_from_link(
  File "/opt/containerbase/tools/pip-tools/7.4.1/3.8.10/lib/python3.8/site-packages/pip/_internal/resolution/resolvelib/factory.py", line 231, in _make_base_candidate_from_link
    self._link_candidate_cache[link] = LinkCandidate(
  File "/opt/containerbase/tools/pip-tools/7.4.1/3.8.10/lib/python3.8/site-packages/pip/_internal/resolution/resolvelib/candidates.py", line 303, in __init__
    super().__init__(
  File "/opt/containerbase/tools/pip-tools/7.4.1/3.8.10/lib/python3.8/site-packages/pip/_internal/resolution/resolvelib/candidates.py", line 158, in __init__
    self.dist = self._prepare()
  File "/opt/containerbase/tools/pip-tools/7.4.1/3.8.10/lib/python3.8/site-packages/pip/_internal/resolution/resolvelib/candidates.py", line 235, in _prepare
    dist = self._prepare_distribution()
  File "/opt/containerbase/tools/pip-tools/7.4.1/3.8.10/lib/python3.8/site-packages/pip/_internal/resolution/resolvelib/candidates.py", line 314, in _prepare_distribution
    return preparer.prepare_linked_requirement(self._ireq, parallel_builds=True)
  File "/opt/containerbase/tools/pip-tools/7.4.1/3.8.10/lib/python3.8/site-packages/pip/_internal/operations/prepare.py", line 527, in prepare_linked_requirement
    return self._prepare_linked_requirement(req, parallel_builds)
  File "/opt/containerbase/tools/pip-tools/7.4.1/3.8.10/lib/python3.8/site-packages/pip/_internal/operations/prepare.py", line 642, in _prepare_linked_requirement
    dist = _get_prepared_distribution(
  File "/opt/containerbase/tools/pip-tools/7.4.1/3.8.10/lib/python3.8/site-packages/pip/_internal/operations/prepare.py", line 72, in _get_prepared_distribution
    abstract_dist.prepare_distribution_metadata(
  File "/opt/containerbase/tools/pip-tools/7.4.1/3.8.10/lib/python3.8/site-packages/pip/_internal/distributions/sdist.py", line 69, in prepare_distribution_metadata
    self.req.prepare_metadata()
  File "/opt/containerbase/tools/pip-tools/7.4.1/3.8.10/lib/python3.8/site-packages/pip/_internal/req/req_install.py", line 580, in prepare_metadata
    self.metadata_directory = generate_metadata_legacy(
  File "/opt/containerbase/tools/pip-tools/7.4.1/3.8.10/lib/python3.8/site-packages/pip/_internal/operations/build/metadata_legacy.py", line 71, in generate_metadata
    raise MetadataGenerationFailed(package_details=details) from error
pip._internal.exceptions.MetadataGenerationFailed: metadata generation failed