ExplainWrapper.h File Reference

#include <vector>
#include <string>
#include <MedAlgo/MedAlgo/MedAlgo.h>
#include <MedProcessTools/MedProcessTools/PostProcessor.h>
#include <MedStat/MedStat/GibbsSampler.h>
#include <MedAlgo/MedAlgo/tree_shap.h>
#include <MedAlgo/MedAlgo/SamplesGenerator.h>

Go to the source code of this file.

Data Structures
class	ExplainFilters
	Parameters for filtering explanations. More...
class	ExplainProcessings
	Processings of explanations - grouping, Using covariance matrix for taking feature correlations into account. More...
class	GlobalExplainerParams
	A wrapper class to hold all global arguments needed for ModelExplainer. More...
class	ModelExplainer
	An abstract class API for explainer. More...
class	TreeExplainer
	A generic tree explainer: More...
class	MissingShapExplainer
	Shapely Explainer - Based on learning training data to handle missing_values as "correct" input. More...
class	ShapleyExplainer
	shapley explainer with gibbs, GAN or other samples generator More...
class	LimeExplainer
	shapley-Lime explainer with gibbs, GAN or other sampler generator More...
class	KNN_Explainer
	KNN explainer. More...
class	LinearExplainer
	Simple Linear Explainer - puts zeros for each feature and measures change in score. More...
class	IterativeSetExplainer
	iterative set explainer with (gibbs, GAN or other samples generator) or proxy predictor algorithm to get as close as we can to final prediction score with lowest variance with the smallest set as possible of varaibles More...

Enumerations
enum	TreeExplainerMode { ORIGINAL_IMPL = 0 , CONVERTED_TREES_IMPL = 1 , PROXY_IMPL = 2 }