v1.4.4 : patch release

This release fixes bugs in the WebApp (#223)

v1.4.2: patch release

• Fixes a bug with required python version for installation

v1.4.1: patch release

Bug fix :

• Fix Shapash installation with python 3.9

v1.4.0: Sets of features and correlation plot

• Groups of features compatible with:
  • Features importance plot (#188)
  • Contribution plot (#188)
  • Local plot (#207)
  • WebApp (#203)
  • SmartPredictor (#212)
• New tutorial to illustrate how to use groups of features (#211)
• New plot : correlation plot (#210) used in the Shapash report
• Added compatibility with python version 3.9

Shapash Report - Bug Fix

Minor Release - bugs fixed:

• Correlation exception
• generate_report() - kernel_name parameter (Papermill kernel)

Shapash Report

• Standalone report (#137)
  Standalone HTML file that contains the following information :
  • General information about the project
  • Dataset description
  • Model library, parameters, and other specifications
  • Dataset analysis
  • Global explainability of the model
  • Model performance
• Digit counter breaks on 0 (#156)
• Switch from SmartPredictor to SmartExplainer (#132)

Interaction plot and new features for WebApp

• WebApp Features: Title (#118), sort features in mask (#117), run app without prediction (#135)
• Interaction plot: Plot (#124), calculation of top interactions (#120, #122)
• BugFix: Xgboost (#127), Pickle (#131, #133)

Python 3.8 support

Merge pull request #98 from MAIF/feature/update_python_v38_v39

Support python 3.8

v1.0.1: Merge pull request #96 from MAIF/nbformat-update

Nbformat update

v1.0: Merge pull request #94 from MAIF/release/v1

initialize tag version to 1.0