#include </home/runner/work/lima/lima/deeplima/libs/nn/common/word_seq_vectorizer.h>

Inheritance diagram for deeplima::nets::WordSeqVectorizerImpl< DataSet, StrFeatExtractor, UIntFeatExtractor, MatrixInt, MatrixFloat >:

Classes
struct	embeddable_feature_descr_t

Public Types
typedef vectorizers::WordSeqEmbdVectorizer< DataSet, StrFeatExtractor, UIntFeatExtractor, MatrixFloat >	Parent

typedef std::pair< std::shared_ptr< MatrixInt >, std::shared_ptr< MatrixFloat > >	vectorization_t

Public Types inherited from deeplima::vectorizers::WordSeqEmbdVectorizer< DataSet, StrFeatExtractor, UIntFeatExtractor, MatrixFloat, Idx >
enum	feature_type_t : unsigned char { int_feature = 0 , str_feature = 1 , float_feature = 2 , max_feature }

typedef DataSet	dataset_t

typedef DataSet::token_t	token_t

typedef UIntFeatExtractor	uint_feat_extractor_t

Public Member Functions
	WordSeqVectorizerImpl (const std::vector< typename Parent::feature_descr_t > &features, const std::vector< embeddable_feature_descr_t > &embeddable_features)

	WordSeqVectorizerImpl (const std::vector< typename Parent::feature_descr_t > &features, const std::vector< embeddable_feature_descr_t > &embeddable_features, const StrFeatExtractor &str_feat_extractor)

const std::vector< deeplima::nets::embd_descr_t >	get_embd_descr () const

vectorization_t	process (const DataSet &src)

vectorization_t	init_dst (uint64_t len) const

void	process (const DataSet &src, vectorization_t dst, uint64_t start) const

void	vectorize_timepoint (MatrixFloat &frozen_features, MatrixInt &embeddable_features, uint64_t timepoint, const typename DataSet::token_t &token) const

Public Member Functions inherited from deeplima::vectorizers::WordSeqEmbdVectorizer< DataSet, StrFeatExtractor, UIntFeatExtractor, MatrixFloat, Idx >
void	set_model (void *)

	WordSeqEmbdVectorizer ()

	WordSeqEmbdVectorizer (const std::vector< feature_descr_t > &features)

	WordSeqEmbdVectorizer (const std::vector< feature_descr_t > &features, const StrFeatExtractor &str_feat_extractor)

bool	is_precomputing () const

void	precompute (const DataSet &)

UIntFeatExtractor &	get_uint_feat_extractor ()

void	init_features (const std::vector< feature_descr_t > &features)

int	dim () const

void	vectorize_timepoint (MatrixFloat &target, uint64_t timepoint, const typename DataSet::token_t &token) const

Protected Attributes
std::vector< embeddable_feature_descr_t >	m_embeddable_features

int	m_embeddable_size

Protected Attributes inherited from deeplima::vectorizers::WordSeqEmbdVectorizer< DataSet, StrFeatExtractor, UIntFeatExtractor, MatrixFloat, Idx >
std::vector< feature_descr_t >	m_features

int	m_features_size

std::vector< uint32_t >	m_features_pos

const StrFeatExtractor	m_str_feat_extractor

UIntFeatExtractor	m_uint_feat_extractor

std::vector< std::pair< std::shared_ptr< uint_vectorizer_t >, size_t > >	m_uint_vectorizers

std::vector< std::pair< std::shared_ptr< str_vectorizer_t >, size_t > >	m_str_vectorizers

Additional Inherited Members
Protected Types inherited from deeplima::vectorizers::WordSeqEmbdVectorizer< DataSet, StrFeatExtractor, UIntFeatExtractor, MatrixFloat, Idx >
typedef FeatureVectorizerToMatrix< MatrixFloat, uint64_t, Idx >	uint_vectorizer_t

typedef FeatureVectorizerToMatrix< MatrixFloat, const std::string &, Idx >	str_vectorizer_t

Detailed Description

template<class DataSet, class StrFeatExtractor, class UIntFeatExtractor, class MatrixInt, class MatrixFloat>
class deeplima::nets::WordSeqVectorizerImpl< DataSet, StrFeatExtractor, UIntFeatExtractor, MatrixInt, MatrixFloat >

Definition at line 23 of file word_seq_vectorizer.h.