DoCalcFeatProcessor Class Reference

User defined calculations on other features. More...

#include <DoCalcFeatProcessor.h>

Inheritance diagram for DoCalcFeatProcessor:

Public Member Functions
void	init_defaults ()
int	init (map< string, string > &mapper)
	The parsed fields from init command.
int	_apply (MedFeatures &features, unordered_set< int > &ids)
void	sum (vector< float * > p_sources, float *p_out, int n_samples)
void	chads2 (vector< float * > p_sources, float *p_out, int n_samples, int vasc_flag, int max_flag)
void	has_bled (vector< float * > p_sources, float *p_out, int n_samples, int max_flag)
void	fragile (vector< float * > p_sources, float *p_out, int n_samples)
void	framingham_chd (vector< float * > p_sources, float *p_out, int n_samples)
void	do_boolean_condition (vector< float * > p_sources, float *p_out, int n_samples)
void	do_boolean_condition_ignore_missing (vector< float * > p_sources, float *p_out, int n_samples)
void	do_not (vector< float * > p_sources, float *p_out, int n_samples)
void	_log (vector< float * > p_sources, float *p_out, int n_samples)
void	do_threshold (vector< float * > p_sources, float *p_out, int n_samples)
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
virtual void	copy (FeatureProcessor *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)
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
int	serial_id
string	raw_target_feature_name = ""
	target_feature_name as specified by the user, will be decorated for uniqueness and extra information
vector< string >	raw_source_feature_names
	source_feature_names as specified by the user, will be resolved to decorated names
vector< string >	source_feature_names
vector< string >	parameters
	general-purpose parameters which can be used by the calc
string	calc_type
	user function selector (e.g. sum, ratio)
float	missing_value
	when a source_feature == missing_value, the calculation would also be missing_value
vector< float >	weights
	for sum
vector< string >	tags
	Tags - for defining labels or groups. may be used later for filtering for example.
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

User defined calculations on other features.

NOTE: it is the user responsibility to put these generators after their source features generators

Member Function Documentation

_apply()

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

virtual

Reimplemented from FeatureProcessor.

are_features_affected()

bool DoCalcFeatProcessor::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 DoCalcFeatProcessor::copy ( FeatureProcessor *  processor )

inlinevirtual

Reimplemented from FeatureProcessor.

init()

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

virtual

The parsed fields from init command.

        if (field == "name")
            raw_target_feature_name = entry.second;
        else if (field == "calc_type")
            calc_type = entry.second;
        else if (field == "source_feature_names")
            split(raw_source_feature_names, entry.second, boost::is_any_of(","));
        else if (field == "parameters")
            split(parameters, entry.second, boost::is_any_of(","));
        else if (field == "tags")
            split(tags, entry.second, boost::is_any_of(","));
        else if (field == "missing_value")
            missing_value = med_stof(entry.second);
        else if (field == "weights") {
            weights.clear();
            vector<string> vals;
            split(vals, entry.second, boost::is_any_of(","));
            for (string& s : vals)
                weights.push_back(stof(s));
        }
        else if (field != "fp_type")
            MLOG("Unknown parameter [%s] for DoCalcFeatProcessor\n", field.c_str());

[DoCalcFeatProcessor::init]

[DoCalcFeatProcessor::init]

Reimplemented from FeatureProcessor.

update_req_features_vec()

void DoCalcFeatProcessor::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.

---

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

• Internal/MedProcessTools/MedProcessTools/DoCalcFeatProcessor.h
• Internal/MedProcessTools/MedProcessTools/DoCalcFeatProcessor.cpp