OneHotFeatProcessor Class Reference

OneHotFeatProcessor: More...

#include <FeatureProcess.h>

Inheritance diagram for OneHotFeatProcessor:

Public Member Functions
int	init (map< string, string > &mapper)
	The parsed fields from init command.
void	init_defaults ()
virtual void	copy (FeatureProcessor *processor)
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
	ADD_CLASS_NAME (OneHotFeatProcessor)
ADD_SERIALIZATION_FUNCS(processor_type, feature_name, resolved_feature_name, index_feature_prefix, other_feature_name, removed_feature_name, rem_origin, add_other, remove_last, allow_other, value2feature, regex_list, regex_list_names, max_values) private int	_apply (MedFeatures &features, unordered_set< int > &ids)
string	get_feature_name (float value, const string &out_prefix, unordered_map< float, string > &value2Name, float missing_value)
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)
virtual int	Learn (MedFeatures &features, unordered_set< int > &ids)
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.
virtual bool	is_selector ()
	allows testing if this feature processor is a selector
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
string	index_feature_prefix = ""
	prefix of index features (names are prefix_value)
string	other_feature_name = ""
	name of 'other' feature (if needed)
string	removed_feature_name = ""
	name of feature to remove (if needed)
bool	rem_origin = true
	if true, remove original feature after creating indeices
bool	add_other = false
	if true, add an extra feature for values not in learning-set
bool	allow_other = false
	if true, values in test, but not in learning-set are allowed
bool	remove_last = false
	if true, remove the feature corresponding to the last value to avoid linear dependency
int	max_values = 32
	maximal allowed number of different values
vector< string >	regex_list
	define multilabel according to regexs list comma separated (don't check values in learn).
vector< string >	regex_list_names
	define the names for the columns in regex_list case.
string	other_suffix = "other"
map< float, vector< string > >	value2feature
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

OneHotFeatProcessor:

Create one-hot index features from a given feature

Member Function Documentation

_apply()

int OneHotFeatProcessor::_apply ( MedFeatures &  features, unordered_set< int > &  ids  )

virtual

Reimplemented from FeatureProcessor.

are_features_affected()

bool OneHotFeatProcessor::are_features_affected ( unordered_set< string > &  out_req_features )

virtual

check if a set of features is affected by the current processor

Reimplemented from FeatureProcessor.

copy()

virtual void OneHotFeatProcessor::copy ( FeatureProcessor *  processor )

inlinevirtual

Reimplemented from FeatureProcessor.

init()

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

virtual

The parsed fields from init command.

[OneHotFeatProcessor::init]

[OneHotFeatProcessor::init]

Reimplemented from FeatureProcessor.

update_req_features_vec()

void OneHotFeatProcessor::update_req_features_vec ( unordered_set< string > &  out_req_features, unordered_set< string > &  in_req_features  )

virtual

update sets of required as input according to set required as output to processor

Reimplemented from FeatureProcessor.

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

• Internal/MedProcessTools/MedProcessTools/FeatureProcess.h
• Internal/MedProcessTools/MedProcessTools/FeatureProcess.cpp