4 ['thrshold',['thrshold',['../class_vector.html#a85d8c798d49ae57535449a94296e98c8',1,'Vector::thrshold(const T nu)'],['../class_vector.html#a85d8c798d49ae57535449a94296e98c8',1,'Vector::thrshold(const T nu)']]],
5 ['thrsmax',['thrsmax',['../class_matrix.html#a798f497d14af27d6e2ff0ec1323e71f0',1,'Matrix::thrsmax()'],['../class_vector.html#ade4b07c6359d55fc6b6d6b4dd1513f85',1,'Vector::thrsmax(const T nu)'],['../class_vector.html#ade4b07c6359d55fc6b6d6b4dd1513f85',1,'Vector::thrsmax(const T nu)']]],
14 ['tosparsetrans',['toSparseTrans',['../class_matrix.html#a41c8c90aa3d1109b42737b08ff364ad5',1,'Matrix::toSparseTrans(SpMatrix< T > &matrixTrans)'],['../class_matrix.html#a41c8c90aa3d1109b42737b08ff364ad5',1,'Matrix::toSparseTrans(SpMatrix< T > &matrixTrans)']]],
15 ['tospmatrix',['toSpMatrix',['../class_sp_vector.html#a321ec5a33d10632097493a8fc3762fd6',1,'SpVector::toSpMatrix(SpMatrix< T > &out, const INTM m, const INTM n) const '],['../class_sp_vector.html#a321ec5a33d10632097493a8fc3762fd6',1,'SpVector::toSpMatrix(SpMatrix< T > &out, const INTM m, const INTM n) const ']]],
16 ['tovect',['toVect',['../class_matrix.html#aaeaf61d63018fa07fc33a69a67757d52',1,'Matrix::toVect(Vector< T > &vec) const '],['../class_matrix.html#aaeaf61d63018fa07fc33a69a67757d52',1,'Matrix::toVect(Vector< T > &vec) const ']]],
19 ['train',['train',['../class_trainer.html#ae92c36df0e7a9ee1469018a4b01e1e8a',1,'Trainer::train(const Data< T > &X, const ParamDictLearn< T > &param)'],['../class_trainer.html#ae92c36df0e7a9ee1469018a4b01e1e8a',1,'Trainer::train(const Data< T > &X, const ParamDictLearn< T > &param)']]],
21 ['trainer',['Trainer',['../class_trainer.html',1,'Trainer< T >'],['../class_trainer.html#a749070f5f6c983f6df395b83a236642e',1,'Trainer::Trainer()'],['../class_trainer.html#a87814d0d9b4110ef000387dae5ee63bb',1,'Trainer::Trainer(const int k, const int batchsize=256, const int NUM_THREADS=-1)'],['../class_trainer.html#a4792363627636e193b33b7b3e00a2031',1,'Trainer::Trainer(const Matrix< T > &D, const int batchsize=256, const int NUM_THREADS=-1)'],['../class_trainer.html#a38ab3c6f7763aa92521357c24be0d542',1,'Trainer::Trainer(const Matrix< T > &A, const Matrix< T > &B, const Matrix< T > &D, const int itercount, const int batchsize, const int NUM_THREADS)'],['../class_trainer.html#a749070f5f6c983f6df395b83a236642e',1,'Trainer::Trainer()'],['../class_trainer.html#a87814d0d9b4110ef000387dae5ee63bb',1,'Trainer::Trainer(const int k, const int batchsize=256, const int NUM_THREADS=-1)'],['../class_trainer.html#a4792363627636e193b33b7b3e00a2031',1,'Trainer::Trainer(const Matrix< T > &D, const int batchsize=256, const int NUM_THREADS=-1)'],['../class_trainer.html#a38ab3c6f7763aa92521357c24be0d542',1,'Trainer::Trainer(const Matrix< T > &A, const Matrix< T > &B, const Matrix< T > &D, const int itercount, const int batchsize, const int NUM_THREADS)']]],
22 ['transpose',['transpose',['../class_matrix.html#a2ec96a2aeac1e3460246431098c19e32',1,'Matrix::transpose(Matrix< T > &trans)'],['../class_matrix.html#a2ec96a2aeac1e3460246431098c19e32',1,'Matrix::transpose(Matrix< T > &trans)']]],