explainer

Attributions

Method	Decription
explainer	Return native Shap references as attributes
kernel_explainer	Explain predictions using SHAP's kernel method
deep_explainer	Explain predictions using SHAP's deep method
gradient_explainer	Explain predictions using SHAP's gradient method
partition_explainer	Explain predictions using SHAP's partition method
saliency	Explain predictions using Captum's saliency method
integratedgradients	Explain predictions using Captum's integrated gradients method
deeplift	Explain predictions using Captum's deep lift method
smoothgrad	Explain predictions using Captum's noise tunnel smooth gradient method
featureablation	Explain predictions using Captum's feature ablation method
zero_shot	...
sentiment_analyis	Explain HuggingFace pipeline predictions the SHAP explainer methods

CAM

Method	Decription
xgradcam	Explain predictions with axiom-based gradient-based class activation maps using pytorch-grad-cam methods
eigancam	Explain predictions with eigan-based class activation maps using pytorch-grad-cam methods
tf_gradcam	Explain predictions with gradient-based class activation maps with the TensorFlow

Metrics

Method	Decription
confusion_matrix	Visualize classifier performance  via  a contingency table visualization
plot	Visualize classifier performance via ROC/PR values over a spread of probability threasholds
pstat	Report the execution summary of a given snippet of code using the cProfile run method