Explainerdashboard

Latest version: v0.4.7

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0.2.0.1

Bug fix:
supress callback exception

0.2

Breaking Changes
- InlineExplainer api has been completely redefined
- JupyterExplainerDashboard, ExplainerTab and JupyterExplainerTab have been deprecated



New Features
- Major rewrite and refactor of the dashboard code, now modularized into ExplainerComponents
and ExplainerComposites.
- ExplainerComponents can now be individually accessed through InlineExplainer
- All elements of components can now be switched on or off or be given an
initial value.
- Makes it much, much easier to design own custom dashboards.
- ExplainerDashboard can be passed an arbitrary list of components to
display as tabs.

Better docs:
- Added sections InlineExplainer, ExplainerTabs, ExplainerComponents,
CustomDashboards and Deployment
- Added screenshots to documentation.

Bug Fixes
- fixes residuals y-pred instead of pred-y
-

Improvements
- Random Index Selector redesigned
- Prediction summary redesigned
- Tables now follow dbc.Table formatting
- All connections between components now happen through explicit connectors
- Layout of most components redesigned, with all elements made hideable

0.1.13

Bug Fixes
- Fixed bug with GradientBoostingClassifier where output format of shap.expected_value was not not properly accounted for.

Improvements
- Cleaned up standalone label selector code
- Added check for shap base values to be between between 0 and 1 for model_output=='probability'

0.1.12.5

typos

0.1.12.4

fixed InlineExplainer in __all__ import of dashboards

0.1.12.3

added jupyter_dash dependency to setup.py (3 times is the charm!)

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