fix(deps): update non-major dependencies

[renovate]

This PR contains the following updates:

Package	Change	Age	Confidence
onnxruntime	1.18.1 → 1.28.0
pandas	2.2.2 → 2.3.3
runpod (source, changelog)	1.6.2 → 1.11.0
scikit-learn (changelog)	1.5.1 → 1.9.0

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Release Notes

pandas-dev/pandas (pandas)

v2.3.3: Pandas 2.3.3

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We are pleased to announce the release of pandas 2.3.3.
This release includes some improvements and fixes to the future string data type (preview feature for the upcoming pandas 3.0). We recommend that all users upgrade to this version.

See the full whatsnew for a list of all the changes.
Pandas 2.3.3 supports Python 3.9 and higher, and is the first release to support Python 3.14.

The release will be available on the conda-forge channel:

conda install pandas --channel conda-forge

Or via PyPI:

python3 -m pip install --upgrade pandas

Please report any issues with the release on the pandas issue tracker.

Thanks to all the contributors who made this release possible.

v2.3.2: Pandas 2.3.2

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We are pleased to announce the release of pandas 2.3.2.
This release includes some improvements and fixes to the future string data type (preview feature for the upcoming pandas 3.0). We recommend that all users upgrade to this version.

See the full whatsnew for a list of all the changes.
Pandas 2.3.2 supports Python 3.9 and higher.

The release will be available on the conda-forge channel:

conda install pandas --channel conda-forge

Or via PyPI:

python3 -m pip install --upgrade pandas

Please report any issues with the release on the pandas issue tracker.

Thanks to all the contributors who made this release possible.

v2.3.1: Pandas 2.3.1

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We are pleased to announce the release of pandas 2.3.1.
This release includes some improvements and fixes to the future string data type (preview feature for the upcoming pandas 3.0). We recommend that all users upgrade to this version.

See the full whatsnew for a list of all the changes.
Pandas 2.3.1 supports Python 3.9 and higher.

The release will be available on the conda-forge channel:

conda install pandas --channel conda-forge

Or via PyPI:

python3 -m pip install --upgrade pandas

Please report any issues with the release on the pandas issue tracker.

Thanks to all the contributors who made this release possible.

v2.3.0: Pandas 2.3.0

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We are pleased to announce the release of pandas 2.3.0.
This release includes some new features, bug fixes, and performance improvements. We recommend that all users upgrade to this version.

See the full whatsnew for a list of all the changes.
Pandas 2.3.0 supports Python 3.10 and higher.

The release will be available on the defaults and conda-forge channels:

conda install -c conda-forge pandas

Or via PyPI:

python3 -m pip install --upgrade pandas

Please report any issues with the release on the pandas issue tracker.

Thanks to all the contributors who made this release possible.

v2.2.3: Pandas 2.2.3

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We are pleased to announce the release of pandas 2.2.3.
This release includes some new features, bug fixes, and performance improvements. We recommend that all users upgrade to this version.

See the full whatsnew for a list of all the changes.
Pandas 2.2.3 supports Python 3.9 and higher.

The release will be available on the defaults and conda-forge channels:

conda install pandas

Or via PyPI:

python3 -m pip install --upgrade pandas

Please report any issues with the release on the pandas issue tracker.

Thanks to all the contributors who made this release possible.

runpod/runpod-python (runpod)

v1.11.0

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Features

• serverless: report fitness failure to host before force-exit (#​537) (f95aef8)

Bug Fixes

• serverless: force-kill worker on fitness check failure (#​536) (08e07cb)

v1.10.1

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Bug Fixes

• stop funneling all jobs to one worker (JobsProgress shared state) (#​517) (6c2cd64)

v1.10.0

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Features

• add agent source tracking to user-agent header (#​508) (92239c8)
• add per-job stop capability to serverless worker (#​510) (21c4786)
• detect all coding agents in user-agent, not just Claude Code (#​519) (d14c67c)
• support Python 3.10-3.14, drop EOL 3.8/3.9 (#​512) (8e9d94e)

Bug Fixes

• deps: bump cryptography floor to >=48.0.1 for OpenSSL fix (#​516) (18c6841), closes #​511

v1.9.1

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Bug Fixes

• fix config credential updates preserving profiles (#​474) (7272cd7)
• poll for jobs while tasks are running (#​473) (13e25e7)

Documentation

• serverless: document missing fitness-check env vars (#​497) (a786a89)

v1.9.0

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Features

• fitness: comprehensive system fitness checks for worker startup validation (#​472) (781ed27)

Bug Fixes

• e2e: increase workerMax from 1 to 3 for provisioned endpoints (#​490) (93dbe40)
• test: update flashBootType assertion to match enum value (#​491) (16a9b41)

v1.8.2

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Bug Fixes

• config: handle corrupted config.toml in credential functions (#​481) (9894894)
• use flashBootType instead of appending -fb (#​484) (7938936)

v1.8.1

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Bug Fixes

• prevent PyPI local version rejection (#​468) (c3cd473)

v1.7.13

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Bug Fixes

• allowedCudaVersions is treated as float without the quotes (#​431) (b2bf0ce)
• label creation permission (#​445) (0ca6da2)
• No module named 'fcntl' (#​434) (88d2e4a)
• proper public exports by all (#​437) (0a52c70)

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v1.7.12

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Fixed

• Resolved multiprocess local development issue.

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v1.7.11

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Added

• Added sync function for workspace copying.

Changed

• README.md name update.
• Dependency updates.

Fixed

• Fixed ping failures.

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v1.7.10

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Fixed

• Corrected CUDA versions typing.
• Improved Content-Disposition parsing.
• Dependency updates.

---

v1.7.9

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Added

• CPU Pod Creation support.

Changed

• Retired sls-core.
• Improved exception handling.

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v1.7.8

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Added

• Added allowed CUDA versions parameter.
• Improved async job streaming.

Changed

• Enhanced error handling for Serverless workers.
• Updated GraphQL API key authorization.

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v1.7.7

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Added

• Added utility function for model-cache paths.

Changed

• Dependency updates.

Fixed

• Fixed streamed error handling.

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v1.7.6

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Fixed

• Resolved JobScaler request failures.
• Improved input validation.

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v1.7.5

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Fixed

• Addressed race conditions in job queue.

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v1.7.4

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Added

• Added minimum network speed parameters for pod creation.

Fixed

• Fixed long-running jobs crash.

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v1.7.3

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Fixed

• Performance improvements and bug fixes.

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v1.7.2

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Fixed

• Additional stability improvements.

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v1.7.1

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Bug Fixes

• allowedCudaVersions is treated as float without the quotes (#​431) (b2bf0ce)
• label creation permission (#​445) (0ca6da2)
• No module named 'fcntl' (#​434) (88d2e4a)
• proper public exports by all (#​437) (0a52c70)

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v1.7.0

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Added

• Major version release with new features.

Changed

• Breaking changes and improvements.

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

v1.9.0

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v1.8.0

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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

v1.7.2: Scikit-learn 1.7.2

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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:

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 !

v1.7.1: Scikit-learn 1.7.1

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We're happy to announce the 1.7.1 release.

This release contains fixes for a few regressions introduced in 1.7.

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

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 !

v1.7.0: Scikit-learn 1.7.0

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We're happy to announce the 1.7.0 release.

You can read the release highlights under https://scikit-learn.org/stable/auto_examples/release_highlights/plot_release_highlights_1_7_0.html and the long version of the change log under https://scikit-learn.org/stable/whats_new/v1.7.html

This version supports Python versions 3.10 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

v1.6.1: Scikit-learn 1.6.1

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We're happy to announce the 1.6.1 release.

This release contains fixes for a few regressions introduced in 1.6.

You can see the changelog here: https://scikit-learn.org/stable/whats_new/v1.6.html#version-1-6-1

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 !

v1.6.0: Scikit-learn 1.6.0

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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

v1.5.2: Scikit-learn 1.5.2

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We're happy to announce the 1.5.2 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-1-5-2

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 !

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