#include <deeplima/graph_dp.h>

Inheritance diagram for deeplima::graph_dp::impl::FeaturesVectorizerWithCache< TokenVector, Token >:

Additional Inherited Members
Public Types inherited from deeplima::vectorizers::WordSeqEmbdVectorizerWithCache< TokenVector, TokenStrFeatExtractor< Token >, TokenUIntClsFeatExtractor< Token >, eigen_wrp::EigenMatrixXf::matrix_t, Eigen::Index >
typedef Parent::feature_descr_t	feature_descr_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 inherited from deeplima::vectorizers::WordSeqEmbdVectorizerWithCache< TokenVector, TokenStrFeatExtractor< Token >, TokenUIntClsFeatExtractor< Token >, eigen_wrp::EigenMatrixXf::matrix_t, Eigen::Index >
	WordSeqEmbdVectorizerWithCache (size_t bucket_size=1024 *64)

	WordSeqEmbdVectorizerWithCache (const std::vector< feature_descr_t > &features, size_t bucket_size=1024 *64)

bool	is_precomputing () const

void	precompute (const TokenVector &dataset)

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

void	create_key (timepoint_features_t &timepoint_features, const typename DataSet::token_t &token)

void	vectorize_timepoint (eigen_wrp::EigenMatrixXf::matrix_t &target, uint64_t timepoint, const typename DataSet::token_t &token)

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 Types inherited from deeplima::vectorizers::WordSeqEmbdVectorizerWithCache< TokenVector, TokenStrFeatExtractor< Token >, TokenUIntClsFeatExtractor< Token >, eigen_wrp::EigenMatrixXf::matrix_t, Eigen::Index >
typedef WordSeqEmbdVectorizer< TokenVector, TokenStrFeatExtractor< Token >, TokenUIntClsFeatExtractor< Token >, eigen_wrp::EigenMatrixXf::matrix_t, Eigen::Index >	Parent

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

Protected Member Functions inherited from deeplima::vectorizers::WordSeqEmbdVectorizerWithCache< TokenVector, TokenStrFeatExtractor< Token >, TokenUIntClsFeatExtractor< Token >, eigen_wrp::EigenMatrixXf::matrix_t, Eigen::Index >
Eigen::Index	get_vector (const timepoint_features_t &key, eigen_wrp::EigenMatrixXf::matrix_t **matrix)

void	init_curr_bucket (size_t dim)

void	compute_vector (const timepoint_features_t &key, eigen_wrp::EigenMatrixXf::matrix_t &matrix, Eigen::Index idx)

virtual void	init_cache (size_t dim)

Protected Attributes inherited from deeplima::vectorizers::WordSeqEmbdVectorizerWithCache< TokenVector, TokenStrFeatExtractor< Token >, TokenUIntClsFeatExtractor< Token >, eigen_wrp::EigenMatrixXf::matrix_t, Eigen::Index >
std::unordered_map< timepoint_features_t, Eigen::Index, timepoint_features_hash >	m_precomputed_index

std::vector< eigen_wrp::EigenMatrixXf::matrix_t >	m_precomputed_vectors

Eigen::Index	m_bucket_size

Eigen::Index	m_next_free_idx

Eigen::Index	m_curr_bucket_id

eigen_wrp::EigenMatrixXf::matrix_t	m_temp_vectors

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

Detailed Description

template<class TokenVector, class Token>
class deeplima::graph_dp::impl::FeaturesVectorizerWithCache< TokenVector, Token >

Definition at line 70 of file graph_dp.h.

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

deeplima/include/deeplima/graph_dp.h

Additional Inherited Members

Detailed Description