Bump the python-minor-and-patch group with 7 updates

[dependabot]

Bumps the python-minor-and-patch group with 7 updates:

Package	From	To
scikit-learn	1.5.0	1.9.0
imbalanced-learn	0.12.3	0.14.2
matplotlib	3.8.4	3.11.1
pyyaml	6.0.1	6.0.3
tensorflow	2.15.1	2.21.0
shap	0.45.0	0.52.0
xlrd	2.0.1	2.0.2

Updates scikit-learn from 1.5.0 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 imbalanced-learn from 0.12.3 to 0.14.2

Release notes

Sourced from imbalanced-learn's releases.

Imbalanced-learn 0.14.2

Changelog

Maintenance

• Compatibility with scikit-learn 1.9 #1178 by Guillaume Lemaitre.

Bug fixes

• Raise an informative error in SMOTENC when the provided categorical_encoder does not keep one column per category (e.g. OneHotEncoder(drop=...) or an encoder merging infrequent categories), instead of failing with an opaque zero-size array NumPy error. #1035 by Imran Ahamed.

Imbalanced-learn 0.14.1

Changelog

Maintenance

• Compatibility with scikit-learn 1.8 #1158 by Guillaume Lemaitre and stratakis.

Imbalanced-learn 0.14.0

Changelog

Enhancements

• Add InstanceHardnessCV to split data and ensure that samples are distributed in folds based on their instance hardness. #1125 by Frits Hermans.

Compatibility

• Compatibility with scikit-learn 1.7 #1137, #1145, #1146 by Guillaume Lemaitre.

Imbalanced-learn 0.13.0

Changelog

Bug fixes

• Fix get_metadata_routing in Pipeline such that one can use a sampler with metadata routing. #1115 by @​glemaitre.

Compatibility

• Compatibility with scikit-learn 1.6. #1109 by @​glemaitre.

Deprecations

• Pipeline now uses check_is_fitted. In 0.15, it will raise an error instead of a warning. #1109 by @​glemaitre.

• algorithm parameter in RUSBoostClassifier is now deprecated and will be removed in 0.14. #1109 by @​glemaitre.

Imbalanced-learn 0.12.4

Changelog

Compatibility

... (truncated)

Commits

• 8504e95 docs: Update the changelog
• 38a7e3e chore: Compatibility with scikit-learn 1.9.0 (#1178)
• 7f97dba FIX SMOTENC: clear error for column-dropping categorical encoders (#1035) (#1...
• de97df0 chore: Compatibility scikit-learn 1.9.0 (#1169)
• 6cdb18e Bump the actions group with 3 updates (#1159)
• b899e65 DOC add co-author to changelog
• af2a6e0 DOC add entry in changelog for 0.14.1
• 95c9d1a MAINT compatibility with sklearn 1.8 (#1158)
• 3163a67 Bump the actions group across 1 directory with 3 updates (#1148)
• 5a5f6d7 DOC fix hyperlink changelog
• Additional commits viewable in compare view

Updates matplotlib from 3.8.4 to 3.11.1

Release notes

Sourced from matplotlib's releases.

REL: v3.11.1

This is the first bugfix release of the 3.11.x series.

This release contains several bug-fixes and adjustments:

• Fix tight layout of multiple subplots with sharey=True
• Fix NoNorm cursor formatting for uint8 images
• Fix occasional misalignment in reported mouse position (also fix a bug with canvas height)
• Fix clipped Axis labels on 3D plots with tight layout
• Fix inverted Axis on 3D plots
• Fix restoring 'auto' aspect in 3D axes after switching from 'equal'
• Fix missing glyphs when subsetting Type 1 fonts in PDF
• Fix oversized embedding of Type 42 fonts in PDF/PostScript files

As well as several documentation and typing improvements and corrections.

REL: v3.11.0

The largest change within this release is a complete overhaul of text and font processing. Through the use of libraqm, HarfBuzz, SheenBidi, and an updated release of FreeType, all text should now support modern font features, enabling full internationalization in all languages. Not all features of these libraries are supported yet, but we expect this work to enable further improvements in an easier manner.

Outside of text handling, there are several improvements to 3D Axes, performance, new accessible colour sequences, flexible figure management, and more. See the release notes for more information.

REL: v3.11.0rc2

This is the second release candidate for the meso release 3.11.0.

This release candidate fixes some problems with downstream packages, removes some missed deprecations, and corrects some additional minor bugs.

REL: v3.11.0rc1

After an extended development stretch, we are pleased to announce the first release candidate of Matplotlib 3.11.0.

The largest change within this release is a complete overhaul of text and font processing. Through the use of libraqm, HarfBuzz, SheenBidi, and an updated release of FreeType, all text should now support modern font features, enabling full internationalization in all languages. Not all features of these libraries are supported yet, but we expect this work to enable further improvements in an easier manner. Due to the update to the font rendering stack, we cannot guarantee that text will be bit-for-bit perfect with previous releases, so if you are using Matplotlib for testing, it may be necessary to introduce/raise a tolerance within your tests.

Outside of text handling, there are several improvements to 3D Axes, performance, new accessible colour sequences, flexible figure management, and more. Final release notes are still being curated, but you may browse the list of new features, API changes, and all issues/pull requests on the milestone.

As a note for downstream packagers, the font libraries have only been tested against the versions bundled with the wheels. It may be possible to expand the range of requirements, or that a requirement is too broad. Please report any issues you have building against external dependencies.

v3.10.9

This is a micro release of the v3.10.x series. Highlights of this release include:

• Various minor bug and doc fixes
• Security hardening validation of cyclers - Removing eval usage
• Security hardening in Latex and PS calls - Removing shell escapes

REL: v3.10.8

This is a bugfix release in the 3.10.x series.

The primary highlights of this release are:

• Properly allow freethreaded mode in the MacOS backend

... (truncated)

Commits

• 3c1757a REL: v3.11.1
• 792c6b5 DOC: Prepare for 3.11.1
• aaff9f6 Merge branch 'v3.11.0-doc' into v3.11.x
• d4f4527 Merge pull request #32052 from meeseeksmachine/auto-backport-of-pr-32038-on-v...
• 6ad4bcf Merge pull request #32050 from meeseeksmachine/auto-backport-of-pr-31304-on-v...
• 7fb74d3 Merge pull request #32051 from meeseeksmachine/auto-backport-of-pr-32037-on-v...
• c624aec Backport PR #32038: Fix occasional misalignment in reported mouse position (a...
• 8eda2b7 Backport PR #32037: Bump the actions group with 3 updates
• a0e7ae5 Backport PR #31304: Fix restoring 'auto' aspect in 3D axes after switching fr...
• 9001323 Merge pull request #32047 from meeseeksmachine/auto-backport-of-pr-32025-on-v...
• Additional commits viewable in compare view

Updates pyyaml from 6.0.1 to 6.0.3

Release notes

Sourced from pyyaml's releases.

6.0.3

What's Changed

• Support for Python 3.14 and free-threading (experimental).

Full Changelog: yaml/pyyaml@6.0.2...6.0.3

6.0.2

What's Changed

• Support for Cython 3.x and Python 3.13.

Full Changelog: yaml/pyyaml@6.0.1...6.0.2

6.0.2rc1

• Support for extension build with Cython 3.x
• Support for Python 3.13
• Added PyPI wheels for musllinux on aarch64

Changelog

Sourced from pyyaml's changelog.

6.0.3 (2025-09-25)

• yaml/pyyaml#864 -- Support for Python 3.14 and free-threading (experimental)

6.0.2 (2024-08-06)

• yaml/pyyaml#808 -- Support for Cython 3.x and Python 3.13

Commits

• 49790e7 Release 6.0.3 (#889)
• 41309b0 Release 6.0.2 (#819)
• dd9f0e1 6.0.2rc1 (#809)
• f5527a2 disable CI trigger on PR edits
• b4d80a7 Python 3.12 + musllinux_1_1_x86_64 wheel support
• See full diff in compare view

Updates tensorflow from 2.15.1 to 2.21.0

Release notes

Sourced from tensorflow's releases.

TensorFlow 2.21.0

Release 2.21.0

TensorFlow

Breaking Changes

• Support for Python 3.9 has been removed starting with TF 2.21.
• The TensorBoard (TB) dependency has been removed starting with TF 2.21.

Major Features and Improvements

• tf.lite

  • Adds int8 and int16x8 support for SQRT operator.
  • Adds int16x8 support for EQUAL and NOT_EQUAL operators.
  • Adds support for int2 type.
  • Adds support for int2/int4 in tfl.cast .
  • Adds support for SRQ int2 in tfl.fully_connected.
  • Adds support for int4 in tfl.slice.
  • Adds support for uint4 type.

• tf.image

  • Adds JPEG XL support in decode_image.

Bug Fixes and Other Changes

• tf.data
  • Adds NoneTensorSpec to the public API so that Nones in element_spec can be identified via isinstance(..., tf.NoneTensorSpec).

Thanks to our Contributors

This release contains contributions from many people at Google, as well as:

Aaraviitkgp, Abhijeet, Abhinav Gunjal, Abhishek, Adam Paszke, Aditya Gupta, Aditya Jha, Aditya Sharma, Adrian Kuegel, Aiden Grossman, Akarsh, Akhil Goel, Alan Kelly, Aleksa Arsic, Aleksei, Aleksei Nurmukhametov, Alex, Alexander Belyaev, Alexander Grund, Alexander Lyashuk, Alexander Shaposhnikov, Alex Pivovarov, Aliia Khasanova, Alina Sbirlea, Allan Renucci, Amelia Thurdekoos, Amit Sabne, Andrei Ivanov, Andrew Dame, Andrey Portnoy, Anish Nair, Anlun Xu, Antonio Sanchez, anuj chincholikar, Anuj Chincholikar, Aravindh Balaji, aravindhbalaji1985, Arian Arfaian, Armin Felder, Artem Belevich, Ashish Rao, Ashitesh Singh, A. Unique TensorFlower, Bart Chrzaszcz, benediktjohannes, Benjamin Chetioui, Benjamin Kramer, Berkin Ilbeyi, Bhatu, Bhavani Subramanian, Bhupendra Dubey, Bill Varcho, Bixia Zheng, Blake Hechtman, Bodhi Silberling, BruceXinXin, Bryan Massoth, Buddh Prakash, Byungchul Kim, Ce Zheng, Changhui Lin, Chao, Charles Alaras, Chase Riley Roberts, Chenhao Jiang, Chris Ashton, Chris Jones, Chris Kennelly, Christian Sigg, Chuan He, Chunlei Niu, Chun-nien Chan, Chunyu Jin, Clive Verghese, Cong Liu, Corentin Kerisit, Daniel Chen, Daniel Kuts, Daniel Ng, Daniel Sosa, Daniel Suo, Danila Malyutin, David Dunleavy, David Majnemer, David Pizzuto, Deepika Rajani, deeptanshusekhri, dependabot[bot], Deqiang Chen, Derek Murray, Dillon Sharlet, Dimitar (Mitko) Asenov, Dimitris Vardoulakis, Dirk Hornung, DottsGit, Dragan Mladjenovic, Eetu Sjöblom, Elen Kalda, Emilio Cota, Emily Fertig, Eugene Zhulenev, Eusebio Durán Montaña, Evan Brown, Ezekiel Calubaquib, Faijul Amin, Felix Wang, Fengwu Yao, Fergus Henderson, Frederic Rechtenstein, Frederik Gossen, Gabriel Gerlero, Gagan Nagaraj, gaikwadrahul8, garry00107, gaurides, George Pawelczak, Georg Stefan Schmid, gns, Goran Flegar, Graham, Grant Jensen, Greg Olechwierowicz, Gregory Pataky, Grzegorz Gawryał, Gunhyun Park, guozhong.zhuang, Haibo Huang, Hana Joo, Hariprasad Ravishankar, Harsha H S, Harshit Monish, Henning Becker, Hittanshu, Hoeseong (Hayden) Kim, Hugo Mano, Hyeontaek Lim, Ibrahim Umit Akgun, ILCSFNO, Ilia Sergachev, Ilya Tikhonovskiy, Iman Hosseini, Ionel Gog, Isha Arkatkar, isharif168, Ivo Ristovski List, Jacques Pienaar, Jae H. Yoo, Jaeyoon Jung, Jake Harmon, James Hilliard, jameslovespancakes, James Spooner, Jane Liu, Jaroslav Sevcik, Jeff Parker, Jeffrey A. Dean, Jeremy Meredith, Jialei Chen, Jian Cai, Jian Li, Jie Luo, Jim Lin, Jing Pu, Jinliang Wei, Jiya Zhang, Joel Wee, Johannes Buchner, Johannes Reifferscheid, Johnny, Jorge Gorbe Moya, Joshua Lang, Joshua Wang, Joss Briody, jparkerh, Juanli Shen, Juhyun Lee, Jun Jiang, Junwhan Ahn, Kadir Barut, Kanglan Tang, Kanish Anand, Kanvi Khanna, Karlo Basioli, Ken Franko, Kevin Chen, Kevin Gleason, Kingston Mandisodza, Koki Ibukuro, Kostiantyn Liepieshov, Krishna Haridasan, Krishna Somani, Krzysztof Kosiński, Kuy Mainwaring, lambert, Larry Lansing, Lin Chai, Lord ε Rebel, Luke Baumann, Luke Hutton, madhavmadupu, Majid Dadashi, Mani Ananth, Manjunath Gaonkar, Marcello Maggioni, Marcin Radomski, Maria Lyubimtseva, Marissa Ikonomidis, Mark Daoust, Mason Chang, Matej Aleksandrov, Mateusz Sokół, Matthias Guenther, Matthias Kramm, Matt Hurd, Matt Kreileder, Maxime France-Pillois, Maxim Ermilov, Mehrdad Khani, Melissa Weber Mendonça, MERT-CKR, Michael Goldfarb, Michael Green, Michael Kuperstein, Michael Voznesensky, Michael Whittaker, Mihai Maruseac, Mikhail Goncharov, Ming-Xu Huang, Mircea Trofin, Misha Gutman, misterBart, mmakevic-amd, Mohamed AbdElmoneim, Mohamed Amine Zghal, Mohammadreza Heydary, Mohammed Anany, mraunak, Mudit Gokhale, Nayana Thorat, Nevi, nhatle, Nhat Le, Nihar0071, Nikhil, Nikita Putikhin, Niklas Vangerow, Nitin Srinivasan, Oleg Shyshkov, Olli Lupton, Om Thakkar, Pankaj Kanwar, Parker Schuh, Paul Ganssle, Pauline Sho, Pavithra Eswaramoorthy, Pedro Gonnet, pemeliya, Penporn Koanantakool, Perry Gibson, Peter Buchlovsky, Peter Gavin, Peter Hawkins, Pham Binh, Phani Paladugula, Philipp Hack, Praneeth Mandala, Praveen Batra, psinfinity, Qingwei Zhang, Quentin Khan, Quoc Truong, QZero, Rachel Han, Raffi Khatchadourian, Ram Rachum, RasheedAli-Shaik, Raviteja Gorijala, Reed Wanderman-Milne, Reilly Grant, Renjie Wu, Richard Levasseur, Robert David, Ryan M. Lefever, Sachin M, Sagun Bajra, Sai Ganesh Muthuraman, Saksham Singh Rathore, Sannidhya Chauhan, Sayan Saha, Sean Talts, Seher Ellis, Sergei Lebedev, Sergey Kozub, Sevin Fide Varoglu, Shahriar Rouf, Shanbin Ke, Shaogang Wang, Sharad Vikram, Shawn Lu, Siddhartha Menon, Siqiao Wu, skill, Smit Hinsu, snadampal, Sohaib Iftikhar, Soowon Jeong, spiao, Srijan Upadhyay, stevemcgregory, Subham Soni, Subhankar Shah, Swachhand Lokhande, Tai Ly, TensorFlower Gardener, Terry Heo, Terry Sun, Terry Tao, Theotime Combes, Thomas Joerg, Thomas Köppe, Tiago Quelhas, TJ Xu, Toli Yevtushenko, Tomás Longeri, Tom Hennigan, Tommy Chiang, Tom Natan, Tongfei Guo, Tori Baker, Uwe L. Korn, Vadym Matsishevskyi, Vamsi Manchala, Venkat6871, Victor Stone, Ville Vesilehto, Vitalii Dziuba, Vladimir Belitskiy, Vlad Sytchenko, Volodymyr Kysenko, Wai Hon Law, wan3x, Weiyi Wang, Will Froom, William S. Moses, wondertx, Xuefei Jiang, Yang Chen, Yash Katariya, Yasir Ashfaq, yasiribmcon, Yeou Chiou, Yicheng Luo, Yi Kong, Yimei Sun, Yin Zhang, Yuchen Yao, Yue Sheng, Yulia Baturina, Yunjie Xu, Yunlong Liu, Yun Peng, Yurii Topin, Zac Cranko, Zac Mustin, Zenong Zhang, Zeyu Wang, Zhanyong Wan, Zixuan Jiang, Ziyin Huang, Zviki Nozadze

TensorFlow 2.21.0-rc1

Release 2.21.0

TensorFlow

Breaking Changes

• Support for Python 3.9 has been removed starting with TF 2.21.

Major Features and Improvements

• tf.lite
  • Adds int8 and int16x8 support for SQRT operator.
  • Adds int16x8 support for EQUAL and NOT_EQUAL operators.

... (truncated)

Changelog

Sourced from tensorflow's changelog.

Release 2.21.0

TensorFlow

Breaking Changes

• Support for Python 3.9 has been removed starting with TF 2.21.
• The TensorBoard (TB) dependency has been removed starting with TF 2.21.

Major Features and Improvements

• tf.lite

  • Adds int8 and int16x8 support for SQRT operator.
  • Adds int16x8 support for EQUAL and NOT_EQUAL operators.
  • Adds support for int2 type.
  • Adds support for int2/int4 in tfl.cast .
  • Adds support for SRQ int2 in tfl.fully_connected.
  • Adds support for int4 in tfl.slice.
  • Adds support for uint4 type.

• tf.image

  • Adds JPEG XL support in decode_image.

Bug Fixes and Other Changes

• tf.data
  • Adds NoneTensorSpec to the public API so that Nones in element_spec can be identified via isinstance(..., tf.NoneTensorSpec).

Thanks to our Contributors

This release contains contributions from many people at Google, as well as:

Aaraviitkgp, Abhijeet, Abhinav Gunjal, Abhishek, Adam Paszke, Aditya Gupta, Aditya Jha, Aditya Sharma, Adrian Kuegel, Aiden Grossman, Akarsh, Akhil Goel, Alan Kelly, Aleksa Arsic, Aleksei, Aleksei Nurmukhametov, Alex, Alexander Belyaev, Alexander Grund, Alexander Lyashuk, Alexander Shaposhnikov, Alex Pivovarov, Aliia Khasanova, Alina Sbirlea, Allan Renucci, Amelia Thurdekoos, Amit Sabne, Andrei Ivanov, Andrew Dame, Andrey Portnoy, Anish Nair, Anlun Xu, Antonio Sanchez, anuj chincholikar, Anuj Chincholikar, Aravindh Balaji, aravindhbalaji1985, Arian Arfaian, Armin Felder, Artem Belevich, Ashish Rao, Ashitesh Singh, A. Unique TensorFlower, Bart Chrzaszcz, benediktjohannes, Benjamin Chetioui, Benjamin Kramer, Berkin Ilbeyi, Bhatu, Bhavani Subramanian, Bhupendra Dubey, Bill Varcho, Bixia Zheng, Blake Hechtman, Bodhi Silberling, BruceXinXin, Bryan Massoth, Buddh Prakash, Byungchul Kim, Ce Zheng, Changhui Lin, Chao, Charles Alaras, Chase Riley Roberts, Chenhao Jiang, Chris Ashton, Chris Jones, Chris Kennelly, Christian Sigg, Chuan He, Chunlei Niu, Chun-nien Chan, Chunyu Jin, Clive Verghese, Cong Liu, Corentin Kerisit, Daniel Chen, Daniel Kuts, Daniel Ng, Daniel Sosa, Daniel Suo, Danila Malyutin, David Dunleavy, David Majnemer, David Pizzuto, Deepika Rajani, deeptanshusekhri, dependabot[bot], Deqiang Chen, Derek Murray, Dillon Sharlet, Dimitar (Mitko) Asenov, Dimitris Vardoulakis, Dirk Hornung, DottsGit, Dragan Mladjenovic, Eetu Sjöblom, Elen Kalda, Emilio Cota, Emily Fertig, Eugene Zhulenev, Eusebio Durán Montaña, Evan Brown, Ezekiel Calubaquib, Faijul Amin, Felix Wang, Fengwu Yao, Fergus Henderson, Frederic Rechtenstein, Frederik Gossen, Gabriel Gerlero, Gagan Nagaraj, gaikwadrahul8, garry00107, gaurides, George Pawelczak, Georg Stefan Schmid, gns, Goran Flegar, Graham, Grant Jensen, Greg Olechwierowicz, Gregory Pataky, Grzegorz Gawryał, Gunhyun Park, guozhong.zhuang, Haibo Huang, Hana Joo, Hariprasad Ravishankar, Harsha H S, Harshit Monish, Henning Becker, Hittanshu, Hoeseong (Hayden) Kim, Hugo Mano, Hyeontaek Lim, Ibrahim Umit Akgun, ILCSFNO, Ilia Sergachev, Ilya Tikhonovskiy, Iman Hosseini, Ionel Gog, Isha Arkatkar, isharif168, Ivo Ristovski List, Jacques Pienaar, Jae H. Yoo, Jaeyoon Jung, Jake Harmon, James Hilliard, jameslovespancakes, James Spooner, Jane Liu, Jaroslav Sevcik, Jeff Parker, Jeffrey A. Dean, Jeremy Meredith, Jialei Chen, Jian Cai, Jian Li, Jie Luo, Jim Lin, Jing Pu, Jinliang Wei, Jiya Zhang, Joel Wee, Johannes Buchner, Johannes Reifferscheid, Johnny, Jorge Gorbe Moya, Joshua Lang, Joshua Wang, Joss Briody, jparkerh, Juanli Shen, Juhyun Lee, Jun Jiang, Junwhan Ahn, Kadir Barut, Kanglan Tang, Kanish Anand, Kanvi Khanna, Karlo Basioli, Ken Franko, Kevin Chen, Kevin Gleason, Kingston Mandisodza, Koki Ibukuro, Kostiantyn Liepieshov, Krishna Haridasan, Krishna Somani, Krzysztof Kosiński, Kuy Mainwaring, lambert, Larry Lansing, Lin Chai, Lord ε Rebel, Luke Baumann, Luke Hutton, madhavmadupu, Majid Dadashi, Mani Ananth, Manjunath Gaonkar, Marcello Maggioni, Marcin Radomski, Maria Lyubimtseva, Marissa Ikonomidis, Mark Daoust, Mason Chang, Matej Aleksandrov, Mateusz Sokół, Matthias Guenther, Matthias Kramm, Matt Hurd, Matt Kreileder, Maxime France-Pillois, Maxim Ermilov, Mehrdad Khani, Melissa Weber Mendonça, MERT-CKR, Michael Goldfarb, Michael Green, Michael Kuperstein, Michael Voznesensky, Michael Whittaker, Mihai Maruseac, Mikhail Goncharov, Ming-Xu Huang, Mircea Trofin, Misha Gutman, misterBart, mmakevic-amd, Mohamed AbdElmoneim, Mohamed Amine Zghal, Mohammadreza Heydary, Mohammed Anany, mraunak, Mudit Gokhale, Nayana Thorat, Nevi, nhatle, Nhat Le, Nihar0071, Nikhil, Nikita Putikhin, Niklas Vangerow, Nitin Srinivasan, Oleg Shyshkov, Olli Lupton, Om Thakkar, Pankaj Kanwar, Parker Schuh, Paul Ganssle, Pauline Sho, Pavithra Eswaramoorthy, Pedro Gonnet, pemeliya, Penporn Koanantakool, Perry Gibson, Peter Buchlovsky, Peter Gavin, Peter Hawkins, Pham Binh, Phani Paladugula, Philipp Hack, Praneeth Mandala, Praveen Batra, psinfinity, Qingwei Zhang, Quentin Khan, Quoc Truong, QZero, Rachel Han, Raffi Khatchadourian, Ram Rachum, RasheedAli-Shaik, Raviteja Gorijala, Reed Wanderman-Milne, Reilly Grant, Renjie Wu, Richard Levasseur, Robert David, Ryan M. Lefever, Sachin M, Sagun Bajra, Sai Ganesh Muthuraman, Saksham Singh Rathore, Sannidhya Chauhan, Sayan Saha, Sean Talts, Seher Ellis, Sergei Lebedev, Sergey Kozub, Sevin Fide Varoglu, Shahriar Rouf, Shanbin Ke, Shaogang Wang, Sharad Vikram, Shawn Lu, Siddhartha Menon, Siqiao Wu, skill, Smit Hinsu, snadampal, Sohaib Iftikhar, Soowon Jeong, spiao, Srijan Upadhyay, stevemcgregory, Subham Soni, Subhankar Shah, Swachhand Lokhande, Tai Ly, TensorFlower Gardener, Terry Heo, Terry Sun, Terry Tao, Theotime Combes, Thomas Joerg, Thomas Köppe, Tiago Quelhas, TJ Xu, Toli Yevtushenko, Tomás Longeri, Tom Hennigan, Tommy Chiang, Tom Natan, Tongfei Guo, Tori Baker, Uwe L. Korn, Vadym Matsishevskyi, Vamsi Manchala, Venkat6871, Victor Stone, Ville Vesilehto, Vitalii Dziuba, Vladimir Belitskiy, Vlad Sytchenko, Volodymyr Kysenko, Wai Hon Law, wan3x, Weiyi Wang, Will Froom, William S. Moses, wondertx, Xuefei Jiang, Yang Chen, Yash Katariya, Yasir Ashfaq, yasiribmcon, Yeou Chiou, Yicheng Luo, Yi Kong, Yimei Sun, Yin Zhang, Yuchen Yao, Yue Sheng, Yulia Baturina, Yunjie Xu, Yunlong Liu, Yun Peng, Yurii Topin, Zac Cranko, Zac Mustin, Zenong Zhang, Zeyu Wang, Zhanyong Wan, Zixuan Jiang, Ziyin Huang, Zviki Nozadze

Release 2.20.0

TensorFlow

Breaking Changes

• The tensorflow-io-gcs-filesystem package is now optional, due its uncertain, and limited support. To install it alongside tensorflow, run pip install "tensorflow[gcs-filesystem]".

Major Features and Improvements

• tf.data
  • Adds autotune.min_parallelism to tf.data.Options to enable faster input pipeline warm up.
• tf.lite
  • LiteRT announced a new release at Google IO ‘25 that improves upon TFLite, particularly in terms of NPU and GPU hardware acceleration and performance for on-device ML and AI applications. The APIs are available in Kotlin and C++.
  • Additionally, LiteRT code base will decouple from TensorFlow repository, and tf.lite will be removed in future TensorFlow Python package. More details to follow in future release notes.

... (truncated)

Commits

• a481b10 Merge pull request #111627 from tensorflow-jenkins/version-numbers-2.21.0-25481
• a8f642e Update version numbers to 2.21.0
• 3c51664 Merge pull request #111517 from tejaswin432/r2.21
• 460d178 Update RELEASE.md with removal of TB dependency.
• 9e2628c Update RELEASE.md with removal of TB dependency.
• 00a1ba7 Merge pull request #111234 from psamanoelton/remove_tb_nigthly
• 41beecf Remove tb-nigthly and replace it with protobuf.
• 01dec74 Merge pull request #111216 from psamanoelton/remove_tb_dependency_partial_rol...
• 9657881 Partial rollback to resolve breakage.
• 78d130a Remove TensorBoard dependency from TensorFlow build
• Additional commits viewable in compare view

Updates shap from 0.45.0 to 0.52.0

Release notes

Sourced from shap's releases.

v0.52.0

What's Changed

Highlights

• Native bindings rewritten with nanobind, and the build system migrated from setup.py to scikit-build-core + CMake. The Cython _kernel_lib.pyx and the existing _cext / _cext_gpu modules are now built as nanobind extensions, and MANIFEST.in / setup.py have been removed in favor of a pyproject.toml-driven build. (#4366, by @​CloseChoice and @​daidahao and @​claude)
• Minimum dependency versions raised to follow SPEC 0. (#4310, by @​CloseChoice)

Enhancements

• Log an INFO message when background data is sub-sampled (closes #3461). (#4294, by @​Ebube22)
• Add cross-links between the API Reference and API Examples pages. (#4329, by @​Abhishek9639)
• Drop the unused typing-extensions dependency. (#4629, by @​samudraneel05)

Bug Fixes

• Improve GPU TreeExplainer parity: preserve XGBoost default/missing child routing so NaN values follow the same branch as the source model, preserve vector-valued XGBoost base_score values (fixing multiclass additivity offsets), and tighten categorical handling so sklearn models with enable_categorical=True raise the existing unsupported-categorical error even when the booster does not expose feature_types. (#4997, by @​RAMitchell)
• TreeExplainer no longer crashes with pandas nullable dtypes. (#4298, by @​tudstudent)
• Fix NameError when with_binary=False and with_cuda=True by initializing compile_args. (#4322, by @​mohityadav8)
• Text plot colors render correctly by converting NumPy types to float. (#4332, by @​Saloni-0465)
• Assign the result of np.flipud so it is no longer a no-op in AdditiveForceArrayVisualizer. (#4343, by @​Mahaveerjain-18)
• Use isinstance() instead of is for type checks. (#4373, by @​divyam-jha123)
• Record 'sample' in Explanation.op_history instead of '__getitem__'. (#4376, by @​tarun-227)
• Move the unreachable large-dataset warning into the interventional branch. (#4392, by @​Mahaveerjain-18)
• Fix "structure of inputs doesn't match the expected structure". (#4410, by @​shaivimalik)
• Fix the return value from is_color_map() in plots/_beeswarm.py. (#4421, by @​maniktyagi04)
• Suppress the UserWarning when LGBMRegressor was fitted with feature names. (#4422, by @​shaivimalik)

... (truncated)

Commits

• 8461059 FIX: Improve GPU TreeExplainer parity (#4997)
• 8549e6b fix: use isinstance() instead of type() is tuple checks (#4508)
• 3be7001 remove webpack dependency for sickness scores (#5018)
• 6e9f9b8 build(deps): bump qs and express in /javascript (#5015)
• 9be5435 build(deps): bump idna from 3.11 to 3.15 in /docs (#5007)
• 52dd763 pin torch to <=2.11.0 in pyproject.toml (#5017)
• d8f2e76 build(deps-dev): bump webpack-dev-server in /javascript (#5009)
• ac6e677 build(deps-dev): bump @​babel/plugin-transform-modules-systemjs (#4991)
• 679b2ee FIX: warn when covariance matrix is singular in LinearExplainer (#4471)
• ce4abd7 build(deps): bump mistune from 3.2.0 to 3.2.1 (#4990)
• Additional commits viewable in compare view

Updates xlrd from 2.0.1 to 2.0.2

Changelog

Sourced from xlrd's changelog.

2.0.2 (14 June 2025)

• Fix bug reading sheets containing invalid formulae.

Thanks to sanshi42 for the fix!

Commits

• 3a19d22 Prepare for 2.0.2 release
• f3521c8 Merge pull request #380 from sanshi42/master
• 99270dd Improve test coverage for invalid formula handling
• 18e314e bugfix: Fix an occasional compatibility issue when using Excel formulas
• 0c4e80b Update README.rst
• f45f630 emboldening breaks RTD rendering, and likely won't help :-(
• b37d159 embolden for the hard of thinking
• 58ccbb1 admit defeat
• See full diff in compare view

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