openGPMP
Open Source Mathematics Package
- d -
data_augmentation() :
gpmp::ml::Regularize
data_size() :
gpmp::ml::LinearRegression
,
pygpmp.ml.ml.LinearRegression
DataTable() :
gpmp::core::DataTable
datetime() :
gpmp::core::DataTable
,
pygpmp.core.core.DataTable
decoder() :
gpmp::ml::VariationalAutoEncoder
decompress() :
gpmp::Graph
decrypt() :
gpmp::nt::RC5
,
gpmp::nt::RedPike
,
RC6
decrypt_block() :
RC6
DenoisingAutoEncoder() :
gpmp::ml::DenoisingAutoEncoder
describe() :
gpmp::core::DataTable
,
pygpmp.core.core.DataTable
determinant() :
gpmp::linalg::Eigen
,
gpmp::linalg::LinSys
dfs() :
gpmp::Graph
dfs_connected_components() :
gpmp::Graph
dfs_rec() :
gpmp::Graph
dgeaxpy() :
gpmp::linalg::DGEMM
dgemm_macro_kernel() :
gpmp::linalg::DGEMM
dgemm_micro_kernel() :
gpmp::linalg::DGEMM
dgemm_nn() :
gpmp::linalg::DGEMM
dgescal() :
gpmp::linalg::DGEMM
diag() :
gpmp::linalg::Matrix< Type >
diagonally_dominant() :
gpmp::linalg::LinSys
dijkstra() :
gpmp::Graph
dispatch() :
gpmp::core::ThreadDispatch
display() :
gpmp::core::DataTable
,
gpmp::Differential
,
gpmp::linalg::LinSys
,
gpmp::linalg::Tensor
,
gpmp::ml::AutoEncoder
,
gpmp::ml::BayesBernoulli
,
gpmp::ml::BayesClf
,
gpmp::ml::BayesGauss
,
gpmp::ml::BayesMultiNom
,
pygpmp.calculus.calculus.Differential
,
pygpmp.core.core.DataTable
display_mtx() :
gpmp::linalg::LinSys
divisors() :
gpmp::Comb
dot_product() :
gpmp::ml::SVC
,
gpmp::optim::QuasiNewton
draw() :
Checkerboard
drop() :
gpmp::core::DataTable
dropout_regularization() :
gpmp::ml::Regularize
dyck_words() :
gpmp::Comb
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