Feature Selector : Univariate. More...

#include <FeatureProcess.h>

Inheritance diagram for UnivariateFeatureSelector:

Public Member Functions
int	init (map< string, string > &mapper)
	The parsed fields from init command.

void	init_defaults ()

virtual void	copy (FeatureProcessor *processor)

Public Member Functions inherited from FeatureSelector
virtual int	Learn (MedFeatures &features, unordered_set< int > &ids)
	Find set of selected features- Calls _learn function, and may be overrided directly.

virtual int	_apply (MedFeatures &features, unordered_set< int > &ids)
	Apply selection.

virtual int	_conditional_apply (MedFeatures &features, unordered_set< int > &ids, unordered_set< string > &out_req_features)

bool	is_selector ()
	allows testing if this feature processor is a selector

bool	are_features_affected (unordered_set< string > &out_req_features)
	check if a set of features is affected by the current processor

void	update_req_features_vec (unordered_set< string > &out_req_features, unordered_set< string > &in_req_features)
	update sets of required as input according to set required as output to processor

Public Member Functions inherited from FeatureProcessor
virtual string	select_learn_matrix (const vector< string > &matrix_tags) const
	Will be called before learn to create new version for the matrix if needed - in parallel of existing matrix.

virtual void	clear ()

void	init_defaults ()

virtual void	set_feature_name (const string &feature_name)

virtual string	get_feature_name ()

virtual void	get_feature_names (vector< string > &feature_names)

int	learn (MedFeatures &features)
	PostProcess of MedFeatures - on all ids.

int	learn (MedFeatures &features, unordered_set< int > &ids)

virtual int	_apply (MedFeatures &features, unordered_set< int > &ids, bool learning)

virtual int	_conditional_apply (MedFeatures &features, unordered_set< int > &ids, unordered_set< string > &req_features, bool learning)

int	apply (MedFeatures &features, bool learning)
	PostProcess of MedFeatures - on all or a subset of the ids calls virtaul function "_apply/_conditional_apply" for the specific implementation.

int	apply (MedFeatures &features, unordered_set< string > &req_features, bool learning)

int	apply (MedFeatures &features, unordered_set< int > &ids, bool learning)

int	apply (MedFeatures &features, unordered_set< int > &ids, unordered_set< string > &req_features, bool learning)

int	apply (MedFeatures &features)

int	apply (MedFeatures &features, unordered_set< string > &req_features)

int	apply (MedFeatures &features, unordered_set< int > &ids)

int	apply (MedFeatures &features, unordered_set< int > &ids, unordered_set< string > &req_features)

virtual int	init (void *processor_params)

virtual int	filter (unordered_set< string > &features)
	Filter according to a subset of features.

string	resolve_feature_name (MedFeatures &features, string substr)
	Utility : get corresponding name in MedFeatures.

void *	new_polymorphic (string derived_class_name)
	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)

size_t	get_processor_size ()

size_t	processor_serialize (unsigned char *blob)

virtual void	dprint (const string &pref, int rp_flag)

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 int	update (map< string, string > &map)
	Virtual to update object from parsed fields.

virtual string	object_json () const

Data Fields
univariateSelectionParams	params
	Selection Params.

Data Fields inherited from FeatureSelector
float	missing_value = (float)MED_MAT_MISSING_VALUE
	Missing Value.

unordered_set< string >	required
	Required Features.

vector< string >	selected
	Selected Features (ordered)

int	numToSelect = 0
	Target number to select (if 0, ignored)

int	numToSelectDelta = 0
	Delta around numToSelect. will search to find [numToSelect - numToSelectDelta, numToSelect + numToSelectDelta].

Data Fields inherited from FeatureProcessor
string	feature_name = "unset_feature_name"
	Feature name ( + name as appears in MedFeatures) ;.

string	resolved_feature_name

FeatureProcessorTypes	processor_type = FTR_PROCESS_LAST

int	learn_nthreads

int	clean_nthreads

Additional Inherited Members
Static Public Member Functions inherited from FeatureProcessor
static FeatureProcessor *	make_processor (string processor_name)

static FeatureProcessor *	make_processor (FeatureProcessorTypes type)

static FeatureProcessor *	make_processor (string processor_name, string params)

static FeatureProcessor *	make_processor (FeatureProcessorTypes type, string params)

Detailed Description

Feature Selector : Univariate.

To Use this selector specify "univariate_selector" in the fp_type

Member Function Documentation

◆ copy()

virtual void UnivariateFeatureSelector::copy ( FeatureProcessor * processor )

inlinevirtual

Reimplemented from FeatureProcessor.

◆ init()

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

virtual

The parsed fields from init command.

        if (field == "missing_value") missing_value = med_stof(entry.second);
        else if (field == "numToSelect") numToSelect = med_stoi(entry.second);
        else if (field == "method") params.method = params.get_method(entry.second);
        else if (field == "minStat") params.minStat = med_stof(entry.second);
        else if (field == "nBins") params.nBins = med_stoi(entry.second);
        else if (field == "binMethod") params.binMethod = params.get_binning_method(entry.second);
        else if (field == "required") boost::split(required, entry.second, boost::is_any_of(","));
        else if (field == "takeSquare") params.takeSquare = med_stoi(entry.second);
        else if (field == "max_samples") params.max_samples = med_stoi(entry.second);
        else if (field != "names" && field != "fp_type" && field != "tag")
            MLOG("Unknonw parameter \'%s\' for FeatureSelector\n", field.c_str());

[UnivariateFeatureSelector::init]

Reimplemented from FeatureProcessor.

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

Internal/MedProcessTools/MedProcessTools/FeatureProcess.h
Internal/MedProcessTools/MedProcessTools/FeatureSelector.cpp

Public Member Functions

Data Fields

Additional Inherited Members

Detailed Description

Member Function Documentation

◆ copy()

◆ init()