v2.2.2: Patch release: fix on category_encoders version

Fix maximum version for category_encoders waiting for change to adapt new version 2.6.x:
#418 maximum version for category_encoders

v2.2.1: Patch release: fixes on Webapp and sklearn version

This patch release fixes several bugs on webapp:
#403 Webapp : when zooming, labels keeps the short format with "..."
#405 Minor bug on Webapp, When filter and zoom on contribution_plot for global population
#406 Webapp: A small bug with groups of variables and selecting a point
#415 Webapp: bug when click on a single sample, it removes the sub-selection of the feature importance

And fix maximum version for sklearn waiting for change to adapt new version 1.2.x:
#414 maximum version for sklearn

v2.2.0 : ✨ 2 news Features: Picking samples and Dataset Filter

These 2 new features are designed to select samples in the Webapp

• With a new tab "Dataset Filter" to filter more easily with the characteristics of the features
• With a graph that represents the "True values vs Predicted values"

✨ Features
#389 Webapp: Improve the top menu for class selection
#388 Create to tab which contains prediction picking graph and connexion with other graph
#387 add responsive titles, subtitles, axis titles and axis labels to each graph
#386 Add explanation button and popup
#385 Adapt the labels of graphs according to their size
#384 Add tab that contains dataset filters
#378 Adding a plot to the webapp and interactivity with other plots
#377 Add of a prediction error distribution graph

v2.1.1 : Clustering of the correlation matrix

✨ Features
New feature #376
Clustering of the correlation matrix in order to visualize correlations between variables easily.

v2.1.0 : Support to Python3.10

New support in Python version
⬆️ Support to Python 3.10 #297
⬇️ Stop to support Python 3.6 #297

Upgrade dependencies
⬆️ scikit-learn>=0.24.0 #297
⬆️ acv-exp>=1.2.0 #297
⬆️ category_encoders>=2.2.2 #372

v2.0.2 : Pairwise comparison of Consistency

✨ Features
New feature #364
Pairwise comparison of Consistency : How are differences in contributions distributed across features ?

v2.0.1: Patch release: minor fixes

This patch release fix a bug on display webapp classification #357

v2.0.0: Shapash refactoring

Features
Refactoring attributes of compile methods and init.
#347
Refactoring implementation for new backends
#348, #346

Other Features
Upgrade Dash version : #343
Improve requirements in setup.py : #337

Bug fixes
Fix for Werkzeug compatibility : #342
Fix requirements for python 3.6 : #339

v1.7.1: Variabilize colors

Features
Give user possibility to change colour scheme of plots
#290, #295

Features

• Fix ACV version : #298
• Add ignore warnings to report : #303

v1.6.1: Patch release: minor fixes

This patch release prevent errors from matplotlib version 3.5.1