deeplima::graph_dp::eigen_impl::FeaturesVectorizer< TokenVector, Token > Class Template Reference

#include <deeplima/graph_dp.h>

Inheritance diagram for deeplima::graph_dp::eigen_impl::FeaturesVectorizer< TokenVector, Token >:

Additional Inherited Members
Public Types inherited from deeplima::vectorizers::WordSeqEmbdVectorizer< TokenVector, TokenStrFeatExtractor< Token >, TokenUIntClsFeatExtractor< Token >, eigen_wrp::EigenMatrixXf::matrix_t, Eigen::Index >
enum	feature_type_t
typedef TokenVector	dataset_t
typedef DataSet::token_t	token_t
typedef TokenUIntClsFeatExtractor< Token >	uint_feat_extractor_t
Public Member Functions inherited from deeplima::vectorizers::WordSeqEmbdVectorizer< TokenVector, TokenStrFeatExtractor< Token >, TokenUIntClsFeatExtractor< Token >, eigen_wrp::EigenMatrixXf::matrix_t, Eigen::Index >
void	set_model (void *)
	WordSeqEmbdVectorizer ()
	WordSeqEmbdVectorizer (const std::vector< feature_descr_t > &features)
	WordSeqEmbdVectorizer (const std::vector< feature_descr_t > &features, const TokenStrFeatExtractor< Token > &str_feat_extractor)
bool	is_precomputing () const
void	precompute (const TokenVector &)
TokenUIntClsFeatExtractor< Token > &	get_uint_feat_extractor ()
void	init_features (const std::vector< feature_descr_t > &features)
int	dim () const
void	vectorize_timepoint (eigen_wrp::EigenMatrixXf::matrix_t &target, uint64_t timepoint, const typename DataSet::token_t &token) const
Protected Types inherited from deeplima::vectorizers::WordSeqEmbdVectorizer< TokenVector, TokenStrFeatExtractor< Token >, TokenUIntClsFeatExtractor< Token >, eigen_wrp::EigenMatrixXf::matrix_t, Eigen::Index >
typedef FeatureVectorizerToMatrix< eigen_wrp::EigenMatrixXf::matrix_t, uint64_t, Eigen::Index >	uint_vectorizer_t
typedef FeatureVectorizerToMatrix< eigen_wrp::EigenMatrixXf::matrix_t, const std::string &, Eigen::Index >	str_vectorizer_t
Protected Attributes inherited from deeplima::vectorizers::WordSeqEmbdVectorizer< TokenVector, TokenStrFeatExtractor< Token >, TokenUIntClsFeatExtractor< Token >, eigen_wrp::EigenMatrixXf::matrix_t, Eigen::Index >
std::vector< feature_descr_t >	m_features
int	m_features_size
std::vector< uint32_t >	m_features_pos
const TokenStrFeatExtractor< Token >	m_str_feat_extractor
TokenUIntClsFeatExtractor< Token >	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::eigen_impl::FeaturesVectorizer< TokenVector, Token >

Definition at line 31 of file graph_dp.h.

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

• deeplima/include/deeplima/graph_dp.h