deeplima::vectorizers::WordSeqEmbdVectorizerWithPrecomputing< Model, DataSet, StrFeatExtractor, UIntFeatExtractor, MatrixFloat, Idx, NUM_BUCKETS, BUCKET_SIZE > Class Template Reference

#include <deeplima/eigen_wrp/word_seq_embd_vectorizer.h>

Inheritance diagram for deeplima::vectorizers::WordSeqEmbdVectorizerWithPrecomputing< Model, DataSet, StrFeatExtractor, UIntFeatExtractor, MatrixFloat, Idx, NUM_BUCKETS, BUCKET_SIZE >:

Public Member Functions
	WordSeqEmbdVectorizerWithPrecomputing (size_t bucket_size=BUCKET_SIZE)
	WordSeqEmbdVectorizerWithPrecomputing (const std::vector< typename Parent::feature_descr_t > &features, size_t bucket_size=1024 *64)
bool	is_precomputing () const
void	set_model (Model *pModel)
size_t	dim ()
void	precompute (const DataSet &dataset)
Idx	get_vector (const typename Parent::timepoint_features_t &key, eigen_wrp::EigenMatrixXf::matrix_t **matrix)
void	vectorize_timepoint (MatrixFloat &target, uint64_t timepoint, const typename DataSet::token_t &token)
Public Member Functions inherited from deeplima::vectorizers::WordSeqEmbdVectorizerWithCache< DataSet, StrFeatExtractor, UIntFeatExtractor, MatrixFloat, Idx, NUM_BUCKETS, BUCKET_SIZE >
	WordSeqEmbdVectorizerWithCache (size_t bucket_size=BUCKET_SIZE)
	WordSeqEmbdVectorizerWithCache (const std::vector< feature_descr_t > &features, size_t bucket_size=BUCKET_SIZE)
bool	is_precomputing () const
void	precompute (const DataSet &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 (MatrixFloat &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
typedef WordSeqEmbdVectorizerWithCache< DataSet, StrFeatExtractor, UIntFeatExtractor, MatrixFloat, Idx, NUM_BUCKETS, BUCKET_SIZE >	Parent
Protected Types inherited from deeplima::vectorizers::WordSeqEmbdVectorizerWithCache< DataSet, StrFeatExtractor, UIntFeatExtractor, MatrixFloat, Idx, NUM_BUCKETS, BUCKET_SIZE >
typedef WordSeqEmbdVectorizer< DataSet, StrFeatExtractor, UIntFeatExtractor, MatrixFloat, Idx >	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
virtual void	init_cache (size_t dim)
Protected Member Functions inherited from deeplima::vectorizers::WordSeqEmbdVectorizerWithCache< DataSet, StrFeatExtractor, UIntFeatExtractor, MatrixFloat, Idx, NUM_BUCKETS, BUCKET_SIZE >
Idx	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, Idx idx)

Protected Attributes
Model *	m_pModel
size_t	m_precomputed_dim
Protected Attributes inherited from deeplima::vectorizers::WordSeqEmbdVectorizerWithCache< DataSet, StrFeatExtractor, UIntFeatExtractor, MatrixFloat, Idx, NUM_BUCKETS, BUCKET_SIZE >
std::unordered_map< timepoint_features_t, Idx, timepoint_features_hash >	m_precomputed_index
std::vector< eigen_wrp::EigenMatrixXf::matrix_t >	m_precomputed_vectors
Idx	m_bucket_size
Idx	m_next_free_idx
Idx	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

Additional Inherited Members
Public Types inherited from deeplima::vectorizers::WordSeqEmbdVectorizerWithCache< DataSet, StrFeatExtractor, UIntFeatExtractor, MatrixFloat, Idx, NUM_BUCKETS, BUCKET_SIZE >
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

Detailed Description

template<class Model, class DataSet, class StrFeatExtractor, class UIntFeatExtractor, class MatrixFloat, class Idx = uint64_t, size_t NUM_BUCKETS = 32, size_t BUCKET_SIZE = 1024*64>
class deeplima::vectorizers::WordSeqEmbdVectorizerWithPrecomputing< Model, DataSet, StrFeatExtractor, UIntFeatExtractor, MatrixFloat, Idx, NUM_BUCKETS, BUCKET_SIZE >

Definition at line 443 of file word_seq_embd_vectorizer.h.

Member Typedef Documentation

Parent

template<class Model , class DataSet , class StrFeatExtractor , class UIntFeatExtractor , class MatrixFloat , class Idx = uint64_t, size_t NUM_BUCKETS = 32, size_t BUCKET_SIZE = 1024*64>

typedef WordSeqEmbdVectorizerWithCache<DataSet, StrFeatExtractor, UIntFeatExtractor, MatrixFloat, Idx, NUM_BUCKETS, BUCKET_SIZE> deeplima::vectorizers::WordSeqEmbdVectorizerWithPrecomputing< Model, DataSet, StrFeatExtractor, UIntFeatExtractor, MatrixFloat, Idx, NUM_BUCKETS, BUCKET_SIZE >::Parent

protected

Definition at line 459 of file word_seq_embd_vectorizer.h.

Constructor & Destructor Documentation

WordSeqEmbdVectorizerWithPrecomputing() [1/2]

template<class Model , class DataSet , class StrFeatExtractor , class UIntFeatExtractor , class MatrixFloat , class Idx = uint64_t, size_t NUM_BUCKETS = 32, size_t BUCKET_SIZE = 1024*64>

deeplima::vectorizers::WordSeqEmbdVectorizerWithPrecomputing< Model, DataSet, StrFeatExtractor, UIntFeatExtractor, MatrixFloat, Idx, NUM_BUCKETS, BUCKET_SIZE >::WordSeqEmbdVectorizerWithPrecomputing ( size_t  bucket_size = BUCKET_SIZE )

inline

Definition at line 474 of file word_seq_embd_vectorizer.h.

WordSeqEmbdVectorizerWithPrecomputing() [2/2]

template<class Model , class DataSet , class StrFeatExtractor , class UIntFeatExtractor , class MatrixFloat , class Idx = uint64_t, size_t NUM_BUCKETS = 32, size_t BUCKET_SIZE = 1024*64>

deeplima::vectorizers::WordSeqEmbdVectorizerWithPrecomputing< Model, DataSet, StrFeatExtractor, UIntFeatExtractor, MatrixFloat, Idx, NUM_BUCKETS, BUCKET_SIZE >::WordSeqEmbdVectorizerWithPrecomputing ( const std::vector< typename Parent::feature_descr_t > &  features, size_t  bucket_size = 1024*64  )

inline

Definition at line 481 of file word_seq_embd_vectorizer.h.

Member Function Documentation

dim()

template<class Model , class DataSet , class StrFeatExtractor , class UIntFeatExtractor , class MatrixFloat , class Idx = uint64_t, size_t NUM_BUCKETS = 32, size_t BUCKET_SIZE = 1024*64>

size_t deeplima::vectorizers::WordSeqEmbdVectorizerWithPrecomputing< Model, DataSet, StrFeatExtractor, UIntFeatExtractor, MatrixFloat, Idx, NUM_BUCKETS, BUCKET_SIZE >::dim ( )

inline

Definition at line 500 of file word_seq_embd_vectorizer.h.

get_vector()

template<class Model , class DataSet , class StrFeatExtractor , class UIntFeatExtractor , class MatrixFloat , class Idx = uint64_t, size_t NUM_BUCKETS = 32, size_t BUCKET_SIZE = 1024*64>

Idx deeplima::vectorizers::WordSeqEmbdVectorizerWithPrecomputing< Model, DataSet, StrFeatExtractor, UIntFeatExtractor, MatrixFloat, Idx, NUM_BUCKETS, BUCKET_SIZE >::get_vector ( const typename Parent::timepoint_features_t &  key, eigen_wrp::EigenMatrixXf::matrix_t **  matrix  )

inline

Definition at line 544 of file word_seq_embd_vectorizer.h.

init_cache()

template<class Model , class DataSet , class StrFeatExtractor , class UIntFeatExtractor , class MatrixFloat , class Idx = uint64_t, size_t NUM_BUCKETS = 32, size_t BUCKET_SIZE = 1024*64>

virtual void deeplima::vectorizers::WordSeqEmbdVectorizerWithPrecomputing< Model, DataSet, StrFeatExtractor, UIntFeatExtractor, MatrixFloat, Idx, NUM_BUCKETS, BUCKET_SIZE >::init_cache ( size_t  dim )

inlineprotectedvirtual

Reimplemented from deeplima::vectorizers::WordSeqEmbdVectorizerWithCache< DataSet, StrFeatExtractor, UIntFeatExtractor, MatrixFloat, Idx, NUM_BUCKETS, BUCKET_SIZE >.

Definition at line 464 of file word_seq_embd_vectorizer.h.

is_precomputing()

template<class Model , class DataSet , class StrFeatExtractor , class UIntFeatExtractor , class MatrixFloat , class Idx = uint64_t, size_t NUM_BUCKETS = 32, size_t BUCKET_SIZE = 1024*64>

bool deeplima::vectorizers::WordSeqEmbdVectorizerWithPrecomputing< Model, DataSet, StrFeatExtractor, UIntFeatExtractor, MatrixFloat, Idx, NUM_BUCKETS, BUCKET_SIZE >::is_precomputing ( ) const

inline

Definition at line 488 of file word_seq_embd_vectorizer.h.

precompute()

template<class Model , class DataSet , class StrFeatExtractor , class UIntFeatExtractor , class MatrixFloat , class Idx = uint64_t, size_t NUM_BUCKETS = 32, size_t BUCKET_SIZE = 1024*64>

void deeplima::vectorizers::WordSeqEmbdVectorizerWithPrecomputing< Model, DataSet, StrFeatExtractor, UIntFeatExtractor, MatrixFloat, Idx, NUM_BUCKETS, BUCKET_SIZE >::precompute ( const DataSet &  dataset )

inline

Definition at line 505 of file word_seq_embd_vectorizer.h.

set_model()

template<class Model , class DataSet , class StrFeatExtractor , class UIntFeatExtractor , class MatrixFloat , class Idx = uint64_t, size_t NUM_BUCKETS = 32, size_t BUCKET_SIZE = 1024*64>

void deeplima::vectorizers::WordSeqEmbdVectorizerWithPrecomputing< Model, DataSet, StrFeatExtractor, UIntFeatExtractor, MatrixFloat, Idx, NUM_BUCKETS, BUCKET_SIZE >::set_model ( Model *  pModel )

inline

Definition at line 493 of file word_seq_embd_vectorizer.h.

vectorize_timepoint()

template<class Model , class DataSet , class StrFeatExtractor , class UIntFeatExtractor , class MatrixFloat , class Idx = uint64_t, size_t NUM_BUCKETS = 32, size_t BUCKET_SIZE = 1024*64>

void deeplima::vectorizers::WordSeqEmbdVectorizerWithPrecomputing< Model, DataSet, StrFeatExtractor, UIntFeatExtractor, MatrixFloat, Idx, NUM_BUCKETS, BUCKET_SIZE >::vectorize_timepoint ( MatrixFloat &  target, uint64_t  timepoint, const typename DataSet::token_t &  token  )

inline

Definition at line 591 of file word_seq_embd_vectorizer.h.

Member Data Documentation

m_pModel

template<class Model , class DataSet , class StrFeatExtractor , class UIntFeatExtractor , class MatrixFloat , class Idx = uint64_t, size_t NUM_BUCKETS = 32, size_t BUCKET_SIZE = 1024*64>

Model* deeplima::vectorizers::WordSeqEmbdVectorizerWithPrecomputing< Model, DataSet, StrFeatExtractor, UIntFeatExtractor, MatrixFloat, Idx, NUM_BUCKETS, BUCKET_SIZE >::m_pModel

protected

Definition at line 461 of file word_seq_embd_vectorizer.h.

m_precomputed_dim

template<class Model , class DataSet , class StrFeatExtractor , class UIntFeatExtractor , class MatrixFloat , class Idx = uint64_t, size_t NUM_BUCKETS = 32, size_t BUCKET_SIZE = 1024*64>

size_t deeplima::vectorizers::WordSeqEmbdVectorizerWithPrecomputing< Model, DataSet, StrFeatExtractor, UIntFeatExtractor, MatrixFloat, Idx, NUM_BUCKETS, BUCKET_SIZE >::m_precomputed_dim

protected

Definition at line 462 of file word_seq_embd_vectorizer.h.

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

• deeplima/include/deeplima/eigen_wrp/word_seq_embd_vectorizer.h