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[MNT] Bump the python-packages group across 1 directory with 2 updates #2482

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@dependabot dependabot bot commented on behalf of github Jan 6, 2025

Updates the requirements on scikit-learn and scipy to permit the latest version.
Updates scikit-learn to 1.6.0

Release notes

Sourced from scikit-learn's releases.

Scikit-learn 1.6.0

We're happy to announce the 1.6.0 release.

You can read the release highlights under https://scikit-learn.org/stable/auto_examples/release_highlights/plot_release_highlights_1_6_0.html and the long version of the change log under https://scikit-learn.org/stable/whats_new/v1.6.html

This version supports Python versions 3.9 to 3.13 and features an experimental 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
Commits

Updates scipy to 1.15.0

Release notes

Sourced from scipy's releases.

SciPy 1.15.0 Release Notes

SciPy 1.15.0 is the culmination of 6 months of hard work. It contains many new features, numerous bug-fixes, improved test coverage and better documentation. There have been a number of deprecations and API changes in this release, which are documented below. All users are encouraged to upgrade to this release, as there are a large number of bug-fixes and optimizations. Before upgrading, we recommend that users check that their own code does not use deprecated SciPy functionality (to do so, run your code with python -Wd and check for DeprecationWarning s). Our development attention will now shift to bug-fix releases on the 1.15.x branch, and on adding new features on the main branch.

This release requires Python 3.10-3.13 and NumPy 1.23.5 or greater.

Highlights of this release

  • Sparse arrays are now fully functional for 1-D and 2-D arrays. We recommend that all new code use sparse arrays instead of sparse matrices and that developers start to migrate their existing code from sparse matrix to sparse array: migration_to_sparray. Both sparse.linalg and sparse.csgraph work with either sparse matrix or sparse array and work internally with sparse array.

  • Sparse arrays now provide basic support for n-D arrays in the COO format including add, subtract, reshape, transpose, matmul, dot, tensordot and others. More functionality is coming in future releases.

  • Preliminary support for free-threaded Python 3.13.

  • New probability distribution features in scipy.stats can be used to improve the speed and accuracy of existing continuous distributions and perform new probability calculations.

  • Several new features support vectorized calculations with Python Array API Standard compatible input (see "Array API Standard Support" below):

    • scipy.differentiate is a new top-level submodule for accurate estimation of derivatives of black box functions.
    • scipy.optimize.elementwise contains new functions for root-finding and minimization of univariate functions.
    • scipy.integrate offers new functions cubature, tanhsinh, and nsum for multivariate integration, univariate integration, and univariate series summation, respectively.

  • scipy.interpolate.AAA adds the AAA algorithm for barycentric rational approximation of real or complex functions.

  • scipy.special adds new functions offering improved Legendre function implementations with a more consistent interface.

... (truncated)

Commits
  • 6e246d0 REL: 1.15.0 "final" rel commit [wheel build]
  • ed7c850 Merge pull request #22233 from tylerjereddy/treddy_backports_1.15.0_final
  • 2e2f2cd MAINT: PR 22233 wheel build [wheel build]
  • f05c622 DOC: Update 1.15.0 relnotes
  • 7348d92 Update scipy/differentiate/_differentiate.py
  • 56b1f7e DOC: differentiate.jacobian: correct/improve documentation about callable int...
  • 30077e7 DEP: linalg.solve_toeplitz/matmul_toeplitz: warn on n-D c, r (#22193)
  • 256c1a2 Merge pull request #22181 from tylerjereddy/treddy_prep_scipy_1.15.0rc3
  • f046276 REL: set 1.15.0rc3 unreleased
  • a3d40a8 REL: 1.15.0rc2 rel commit [wheel build]
  • Additional commits viewable in compare view

Most Recent Ignore Conditions Applied to This Pull Request
Dependency Name Ignore Conditions
scipy [>= 1.14.a, < 1.15]

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@dependabot
[MNT] Bump the python-packages group across 1 directory with 2 updates
7d04757 
Updates the requirements on [scikit-learn](https://github.com/scikit-learn/scikit-learn) and [scipy](https://github.com/scipy/scipy) to permit the latest version.

Updates `scikit-learn` to 1.6.0
- [Release notes](https://github.com/scikit-learn/scikit-learn/releases)
- [Commits](scikit-learn/scikit-learn@1.0...1.6.0)

Updates `scipy` to 1.15.0
- [Release notes](https://github.com/scipy/scipy/releases)
- [Commits](scipy/scipy@v1.9.0...v1.15.0)

---
updated-dependencies:
- dependency-name: scikit-learn
  dependency-type: direct:production
  dependency-group: python-packages
- dependency-name: scipy
  dependency-type: direct:production
  dependency-group: python-packages
...

Signed-off-by: dependabot[bot] <[email protected]>
@dependabot dependabot bot added dependencies This issue or PR is related to dependencies of aeon full pytest actions Run the full pytest suite on a PR maintenance Continuous integration, unit testing & package distribution no changelog PR should not be added to the changelog labels Jan 6, 2025
@Borda Borda mentioned this pull request Jan 8, 2025
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