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Bumps the ml group with 3 updates in the /apps/service-ai-fraud directory: scikit-learn, joblib and numpy.

Updates scikit-learn from 1.4.1.post1 to 1.9.0

Release notes

Sourced from scikit-learn's releases.

Scikit-learn 1.9.0

We're happy to announce the 1.9.0 release.

You can read the release highlights under https://scikit-learn.org/stable/auto_examples/release_highlights/plot_release_highlights_1_9_0.html and the long version of the change log under https://scikit-learn.org/stable/whats_new/v1.9.html

This release adds narwhals as a new dependency that will help to improve dataframe interoperability across the project.

This version supports Python versions 3.11 to 3.14.

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

Release 1.8.0

We're happy to announce the 1.8.0 release.

You can read the release highlights under https://scikit-learn.org/stable/auto_examples/release_highlights/plot_release_highlights_1_8_0.html and the long version of the change log under https://scikit-learn.org/stable/whats_new/v1.8.html

This version supports Python versions 3.11 to 3.14 and features support of free-threaded CPython.

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

Scikit-learn 1.7.2

We're happy to announce the 1.7.2 release.

This release contains a few bug fixes and is the first version supporting Python 3.14.

You can see the changelog here: https://scikit-learn.org/stable/whats_new/v1.7.html#version-1-7-2

You can upgrade with pip as usual:

</tr></table>

... (truncated)

Commits
  • 77def0e trigger wheel builder [cd build]
  • ee7c0b0 generate changelog
  • 3d7fb04 bump version
  • 8954e7b DOC Release highlights for 1.9 (#34147)
  • 73a3eab Fix: Array-API - avoid failing for numpy fit + predict with sparse or array-l...
  • 8839aae DOC Thread-safety requirement for open_listener message consumer callback (#3...
  • 4d2476a DOC Refactor array API docs page (#34054)
  • f9f812f 🔒 🤖 CI Update lock files for scipy-dev CI build(s) 🔒 🤖 ...
  • d779dc3 🔒 🤖 CI Update lock files for free-threaded CI build(s) 🔒 :rob...
  • 6a03cf0 🔒 🤖 CI Update lock files for array-api CI build(s) 🔒 🤖 ...
  • Additional commits viewable in compare view

Updates joblib from 1.3.2 to 1.5.3

Release notes

Sourced from joblib's releases.

1.5.3

No release notes provided.

1.5.2

No release notes provided.

1.5.1

No release notes provided.

1.5.0

No release notes provided.

1.4.2

What's Changed

New Contributors

Full Changelog: joblib/joblib@1.4.0...1.4.2

Joblib 1.4.0

What's Changed

... (truncated)

Changelog

Sourced from joblib's changelog.

Release 1.5.3 - 2025/12/15

  • The Memory object won't overwrite an already existing .gitignore file in its cache directory anymore. joblib/joblib#1742

  • Harden the safety checks in eval_expr(pre_dispatch) to prevent excessive memory allocation and potential crashes by limiting the allowed length of the expression and the maximum numeric value of sub-expressions and not evaluating expressions with non-numeric literals. joblib/joblib#1744

  • Vendor cloudpickle 3.1.2 to fix a pickling problem with interactively defined abstract base classes and type annotations in Python 3.14+.

Release 1.5.2 - 2025/08/27

Memory:


- Ensure that temporary files managed by the ``Memory`` object do not collide
  when using the same cache directory when the cache directory is accessed
  concurrently from different nodes on a cluster with a shared filesystem.
  https://github.com/joblib/joblib/pull/1656

Release 1.5.1 - 2025/05/23


    

  • 

    Fix backend hints causing errors when no multiprocessing is present
    
joblib/joblib#1721
    

    • 

  • 

    Vendor loky3.5.5 fixing the resource_tracker clean up with earlier Python
    
versions. joblib/joblib#1724
    

    • 



Release 1.5.0 -- 2025/05/03


Memory:

  • Enforce age_limit is a positive timedelta for Memory.reduce_size, to avoid silently ignoring it. joblib/joblib#1613

  • Remove deprecated bytes_limit argument for Memory, which should

... (truncated)

Commits

Updates numpy from 1.26.4 to 2.4.6

Release notes

Sourced from numpy's releases.

v2.4.6 (May 18, 2026)

NumPy 2.4.6 Release Notes

NumPy 2.4.6 is a quick release that fixes a regression discovered in the 2.4.5 release.

This release supports Python versions 3.11-3.14

Contributors

A total of 4 people contributed to this release. People with a "+" by their names contributed a patch for the first time.

  • !EarlMilktea
  • Charles Harris
  • Sebastian Berg
  • Warren Weckesser

Pull requests merged

A total of 4 pull requests were merged for this release.

  • #31444: MAINT: Prepare 2.4.x for further development
  • #31453: BUG: Fix regression in arr.conj()
  • #31459: BUG: np.linalg.svd(..., hermitian=True) returns non-unitary...
  • #31460: BUG: Don't call INCREF/DECREF on descr in NpyStringAcquireAllocator...

v2.4.5 (May 15, 2026)

NumPy 2.4.5 Release Notes

NumPy 2.4.5 is a patch release that fixes bugs discovered after the 2.4.4 release, has some typing improvements, and maintains infrastructure.

This release supports Python versions 3.11-3.14

Contributors

A total of 17 people contributed to this release. People with a "+" by their names contributed a patch for the first time.

  • Aleksei Nikiforov
  • Anarion Zuo +
  • Ankit Ahlawat
  • Breno Favaretto +
  • Charles Harris
  • Igor Krivenko +
  • Ijtihed Kilani +
  • Joren Hammudoglu
  • Maarten Baert +

... (truncated)

Changelog

Sourced from numpy's changelog.

This is a walkthrough of the NumPy 2.4.0 release on Linux, which will be the first feature release using the numpy/numpy-release <https://github.com/numpy/numpy-release>__ repository.

The commands can be copied into the command line, but be sure to replace 2.4.0 with the correct version. This should be read together with the :ref:general release guide <prepare_release>.

Facility preparation

Before beginning to make a release, use the requirements/*_requirements.txt files to ensure that you have the needed software. Most software can be installed with pip, but some will require apt-get, dnf, or whatever your system uses for software. You will also need a GitHub personal access token (PAT) to push the documentation. There are a few ways to streamline things:

  • Git can be set up to use a keyring to store your GitHub personal access token. Search online for the details.

Prior to release

Add/drop Python versions

When adding or dropping Python versions, multiple config and CI files need to be edited in addition to changing the minimum version in pyproject.toml. Make these changes in an ordinary PR against main and backport if necessary. We currently release wheels for new Python versions after the first Python RC once manylinux and cibuildwheel support that new Python version.

Backport pull requests

Changes that have been marked for this release must be backported to the maintenance/2.4.x branch.

Update 2.4.0 milestones

Look at the issues/prs with 2.4.0 milestones and either push them off to a later version, or maybe remove the milestone. You may need to add a milestone.

Check the numpy-release repo

... (truncated)

Commits
  • b832a09 Merge pull request #31462 from charris/prepare-2.4.6
  • 57cc147 REL: Prepare for the NumPy 2.4.6 release
  • 0c72b0b Merge pull request #31459 from charris/backport-31347
  • 9778d26 BUG: core: Don't call INCREF/DECREF on descr in NpyStringAcquireAllocator. (#...
  • e0e3876 BUG: core: Don't call INCREF/DECREF on descr in NpyStringAcquireAllocator. (#...
  • d1bffeb BUG: np.linalg.svd(..., hermitian=True) returns non-unitary vh (#31347)
  • 8d8d7e5 Merge pull request #31453 from seberg/issue-31452
  • bddaab7 BUG: Fix regression in arr.conj()
  • 37a1ecc Merge pull request #31444 from charris/begin-2.4.6
  • 3c0e043 MAINT: Prepare 2.4.x for further development
  • Additional commits viewable in compare view

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@dependabot
build(deps): bump the ml group across 1 directory with 3 updates
74153ec 
Bumps the ml group with 3 updates in the /apps/service-ai-fraud directory: [scikit-learn](https://github.com/scikit-learn/scikit-learn), [joblib](https://github.com/joblib/joblib) and [numpy](https://github.com/numpy/numpy).


Updates `scikit-learn` from 1.4.1.post1 to 1.9.0
- [Release notes](https://github.com/scikit-learn/scikit-learn/releases)
- [Commits](scikit-learn/scikit-learn@1.4.1.post1...1.9.0)

Updates `joblib` from 1.3.2 to 1.5.3
- [Release notes](https://github.com/joblib/joblib/releases)
- [Changelog](https://github.com/joblib/joblib/blob/main/CHANGES.rst)
- [Commits](joblib/joblib@1.3.2...1.5.3)

Updates `numpy` from 1.26.4 to 2.4.6
- [Release notes](https://github.com/numpy/numpy/releases)
- [Changelog](https://github.com/numpy/numpy/blob/main/doc/RELEASE_WALKTHROUGH.rst)
- [Commits](numpy/numpy@v1.26.4...v2.4.6)

---
updated-dependencies:
- dependency-name: joblib
  dependency-version: 1.5.3
  dependency-type: direct:production
  update-type: version-update:semver-minor
  dependency-group: ml
- dependency-name: numpy
  dependency-version: 2.4.6
  dependency-type: direct:production
  update-type: version-update:semver-major
  dependency-group: ml
- dependency-name: scikit-learn
  dependency-version: 1.9.0
  dependency-type: direct:production
  update-type: version-update:semver-minor
  dependency-group: ml
...

Signed-off-by: dependabot[bot] <support@github.com>
@dependabot dependabot Bot changed the title build(deps): bump the ml group in /apps/service-ai-fraud with 3 updates build(deps): bump the ml group across 1 directory with 3 updates Jul 15, 2026
@dependabot
dependabot Bot force-pushed the dependabot/pip/apps/service-ai-fraud/ml-b706c9639d branch from a64d37f to 74153ec Compare July 15, 2026 13:19
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