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Public Member Functions | Static Public Member Functions | Data Fields
ModelExplainer Class Referenceabstract

An abstract class API for explainer. More...

#include <ExplainWrapper.h>

Inheritance diagram for ModelExplainer:
PostProcessor SerializableObject IterativeSetExplainer KNN_Explainer LimeExplainer LinearExplainer MissingShapExplainer ShapleyExplainer TreeExplainer

Public Member Functions

virtual int init (map< string, string > &mapper)
 Global init for general args in all explainers. initialize directly all args in GlobalExplainerParams.
 
virtual int update (map< string, string > &mapper)
 Virtual to update object from parsed fields.
 
virtual void _learn (const MedFeatures &train_mat)=0
 overload function for ModelExplainer - easier API
 
virtual void Learn (const MedFeatures &train_mat)
 Learns from predictor and train_matrix (PostProcessor API)
 
void Apply (MedFeatures &matrix)
 alias for explain
 
void get_input_fields (vector< Effected_Field > &fields) const
 List of fields that are used by this post_processor.
 
void get_output_fields (vector< Effected_Field > &fields) const
 List of fields that are being effected by this post_processor.
 
void init_post_processor (MedModel &model)
 Init ModelExplainer from MedModel - copies predictor pointer, might save normalizers pointers.
 
virtual void explain (const MedFeatures &matrix, vector< map< string, float > > &sample_explain_reasons) const =0
 Virtual - return explain results in sample_feature_contrib.
 
virtual void explain (MedFeatures &matrix) const
 Stores explain results in matrix.
 
void dprint (const string &pref) const
 
- Public Member Functions inherited from PostProcessor
void * new_polymorphic (string dname)
 for polymorphic classes that want to be able to serialize/deserialize a pointer * to the derived class given its type one needs to implement this function to return a new to the derived class given its type (as in my_type)
 
virtual float get_use_p ()
 
virtual int get_use_split ()
 
- Public Member Functions inherited from SerializableObject
virtual int version () const
 Relevant for serializations.
 
virtual string my_class_name () const
 For better handling of serializations it is highly recommended that each SerializableObject inheriting class will implement the next method.
 
virtual void serialized_fields_name (vector< string > &field_names) const
 The names of the serialized fields.
 
virtual void pre_serialization ()
 
virtual void post_deserialization ()
 
virtual size_t get_size ()
 Gets bytes sizes for serializations.
 
virtual size_t serialize (unsigned char *blob)
 Serialiazing object to blob memory. return number ob bytes wrote to memory.
 
virtual size_t deserialize (unsigned char *blob)
 Deserialiazing blob to object. returns number of bytes read.
 
size_t serialize_vec (vector< unsigned char > &blob)
 
size_t deserialize_vec (vector< unsigned char > &blob)
 
virtual size_t serialize (vector< unsigned char > &blob)
 
virtual size_t deserialize (vector< unsigned char > &blob)
 
virtual int read_from_file (const string &fname)
 read and deserialize model
 
virtual int write_to_file (const string &fname)
 serialize model and write to file
 
virtual int read_from_file_unsafe (const string &fname)
 read and deserialize model without checking version number - unsafe read
 
int init_from_string (string init_string)
 Init from string.
 
int init_params_from_file (string init_file)
 
int init_param_from_file (string file_str, string &param)
 
int update_from_string (const string &init_string)
 
virtual string object_json () const
 

Static Public Member Functions

static void print_explain (MedSample &smp, int sort_mode=0)
 
- Static Public Member Functions inherited from PostProcessor
static PostProcessormake_processor (const string &processor_name, const string &params="")
 
static PostProcessormake_processor (PostProcessorTypes type, const string &params="")
 
static PostProcessorcreate_processor (string &params)
 

Data Fields

MedPredictororiginal_predictor = NULL
 predictor we're trying to explain
 
ExplainFilters filters
 general filters of results
 
ExplainProcessings processing
 processing of results, like groupings, COV
 
GlobalExplainerParams global_explain_params
 
- Data Fields inherited from PostProcessor
PostProcessorTypes processor_type = PostProcessorTypes::FTR_POSTPROCESS_LAST
 
int use_split = -1
 
float use_p = 0.0
 

Detailed Description

An abstract class API for explainer.

Member Function Documentation

◆ _learn()

virtual void ModelExplainer::_learn ( const MedFeatures train_mat)
pure virtual

◆ Apply()

void ModelExplainer::Apply ( MedFeatures matrix)
inlinevirtual

alias for explain

Reimplemented from PostProcessor.

◆ dprint()

void ModelExplainer::dprint ( const string &  pref) const
virtual

Reimplemented from PostProcessor.

◆ explain()

virtual void ModelExplainer::explain ( const MedFeatures matrix,
vector< map< string, float > > &  sample_explain_reasons 
) const
pure virtual

Virtual - return explain results in sample_feature_contrib.

Implemented in TreeExplainer, MissingShapExplainer, ShapleyExplainer, LimeExplainer, KNN_Explainer, LinearExplainer, and IterativeSetExplainer.

◆ get_input_fields()

void ModelExplainer::get_input_fields ( vector< Effected_Field > &  fields) const
virtual

List of fields that are used by this post_processor.

Reimplemented from PostProcessor.

◆ get_output_fields()

void ModelExplainer::get_output_fields ( vector< Effected_Field > &  fields) const
virtual

List of fields that are being effected by this post_processor.

Options: "prediction:X", "attr:$NAME", "str_attr:$NAME", "feature:$NAME", "json"

Reimplemented from PostProcessor.

◆ init()

int ModelExplainer::init ( map< string, string > &  mapper)
virtual

Global init for general args in all explainers. initialize directly all args in GlobalExplainerParams.

Reimplemented from SerializableObject.

◆ init_post_processor()

void ModelExplainer::init_post_processor ( MedModel model)
virtual

Init ModelExplainer from MedModel - copies predictor pointer, might save normalizers pointers.

Reimplemented from PostProcessor.

Reimplemented in TreeExplainer.

◆ Learn()

void ModelExplainer::Learn ( const MedFeatures train_mat)
virtual

Learns from predictor and train_matrix (PostProcessor API)

Reimplemented from PostProcessor.

◆ update()

int ModelExplainer::update ( map< string, string > &  map)
virtual

Virtual to update object from parsed fields.

Reimplemented from SerializableObject.


The documentation for this class was generated from the following files: