DiCE
Getting Started:
Diverse Counterfactual Explanations (DiCE) for ML
Notebooks:
Quick introduction to generating counterfactual explanations using DiCE
Estimating local and global feature importance scores using DiCE
Generating counterfactuals for multi-class classification and regression models
Regression
Generating counterfactual explanations with any ML model
Generating counterfactual explanations without access to training data
Advanced options to customize Counterfactual Explanations
Generate feasible counterfactual explanations using a VAE
Adding feasibility constraints
Package:
dice_ml package
Subpackages
dice_ml.data_interfaces package
dice_ml.explainer_interfaces package
dice_ml.model_interfaces package
dice_ml.schema package
Module contents
dice_ml.utils package
Submodules
dice_ml.constants module
dice_ml.counterfactual_explanations module
dice_ml.data module
dice_ml.dice module
dice_ml.diverse_counterfactuals module
dice_ml.model module
Module contents
DiCE
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dice_ml package
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dice_ml.schema package
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dice_ml.schema package
Module contents