v2.7.10

Features

• Added Python 3.13 support in pyproject.toml by @guerinclement — #635
• Refactored typing: replaced typing.List / Tuple with built-in list / tuple (PEP 585) by @guillaume-vignal — #636

Fixes

• Limited Dash to <3.0 due to breaking changes in Dash 3.x by @jasperges — #634
• Handled non-finite values in distance matrix for SmartPlotter.correlations to fix clustering errors by @guillaume-vignal — #638
• Webapp fixes: corrected date filtering and improved boolean type handling with pandas by @ZakariaRida96 — #640

New Contributors

• @jasperges (Dash version fix)
• @ZakariaRida96 (Webapp improvements)

Full Changelog: v2.7.9...v2.7.10

v2.7.9 - Bug Fix Release

What's Changed

• Fix display_model_analysis in Shapash Report to correctly retrieve sklearn version by @guillaume-vignal in #628

Full Changelog: v2.7.8...v2.7.9

v2.7.8 - Bug Fix Release

What's Changed

• Fixed an issue in the report where the contributions plot was not displayed. Thanks to @MLecardonnel in PR #622.

Full Changelog: v2.7.7...v2.7.8

v2.7.7

What's Changed

• Add Option to Display Interaction Plot by @guillaume-vignal in #621
• Restrict Plotly to versions below 6.0.0 due to unexpected bugs occurring randomly in certain Python environmentst by @guillaume-vignal in #621

Full Changelog: v2.7.6...v2.7.7

v2.7.6 - Bug Fix Release

What's Changed

• Limit scikit-learn version to < 1.6.0 by @MLecardonnel in #614

Full Changelog: v2.7.5...v2.7.6

v2.7.5

What's Changed

• Add Customizable Graph Size, Improve Title Alignment, and Fix Color Palette Selection in Shapash Explainability Quality Graphs by @guillaume-vignal in #609
• Enhance Plot Functionality and Consistency for Additional Visualizations by @guillaume-vignal in #612

Full Changelog: v2.7.4...v2.7.5

v2.7.4

What's Changed

• Fix for Feature Importance Local Plot Failure After Global Plot
  Resolved an issue where plotting the feature importance local plot after the global plot resulted in errors due to missing value computations. This fix ensures seamless transitions between global and local plots, improving plot stability and usability.
  Contributed by @guillaume-vignal in #605

• Dynamic Title Height Adjustment for Feature Importance Plot
  Introduced a new feature that dynamically adjusts the title position based on figure height to prevent overlap with plot content. This update provides improved readability and layout flexibility, especially for custom plot dimensions.
  Contributed by @guillaume-vignal in #607

Full Changelog: View the changes for v2.7.3...v2.7.4

v2.7.3 - Bug Fix Release

What's Changed

This release brings important fixes to enhance both the visualization capabilities and the stability of the Shapash package.

• Plot Title Overlap Fix: We have resolved an issue where the plot titles were incorrectly positioned, leading to overlaps with the graph when users specified different figure heights.

• Fix for Shortened Label Duplication: In cases where long feature names were programmatically shortened for better visualization, duplicate labels could lead to missing lines in the correlation matrix.

• Restoration of Missing Files in Shapash Package: Several important files such as *.ipynb, *.html, and *.j2 were missing in previous package versions, causing issues and preventing the generation of reports. These files are now properly included, restoring full functionality to the package.

Contributors

• @guillaume-vignal in PR #603

Full Changelog: v2.7.2...v2.7.3

v2.7.2 - Bug Fix Release

What's Changed

This release focuses on bug fixes to improve stability and functionality:

• Fixed default color in Local explanation plot: Resolved an issue where the default colors in the local explanation plot were incorrect.
• Improved pagination for large feature sets: Addressed a bug where pagination would not work properly.
• Restored Shapash icon in the webapp: Replaced the unintended dash icon with the correct Shapash icon in the web application.
• Removed unnecessary dataframe print in plot_scatter_prediction.py: Eliminated unintended dataframe printing, which improves clarity in scatter plot generation.

Contributed by @guillaume-vignal in #597.

Full Changelog: v2.7.1...v2.7.2

v2.7.1 - Bug Fix Release

What's Changed

• Fix pyproject.toml by @tbloron in #592
  • This fix resolves an issue where the shapash module was not importable after installation, resulting in a ModuleNotFoundError. The problem was traced back to the pyproject.toml configuration file, which has now been corrected. The fix ensures that Shapash installs and imports correctly in all environments.

Bug Fix Details:

• Users installing version 2.7.0 encountered a packaging issue that prevented shapash from being properly imported in Python environments, including Conda environments using Python 3.10. This version addresses that issue, making the module accessible after installation.

Installation Instructions:

To upgrade to the latest version, run:

pip install --upgrade shapash

Full Changelog:

Compare v2.7.0...v2.7.1