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Snapshot of
the Shogun machine learning toolbox website
as of
2013
: preserved, not maintained. The live site:
shogun-toolbox.org
SHOGUN
4.1.0
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- b -
bnode_t :
CTreeMachine< T >
- d -
data_print_func_t :
CTreeMachineNode< T >
- e -
entry_t :
CRelaxedTree
- m -
MapMatrixXt :
sin< T >
MapVectorXt :
sin< T >
MatrixXt :
add< Backend::EIGEN3, Matrix >
,
colwise_sum< Backend::EIGEN3, Matrix >
,
convolve< Backend::EIGEN3, Matrix >
,
elementwise_product< Backend::EIGEN3, Matrix >
,
elementwise_square< Backend::EIGEN3, Matrix >
,
matrix_product< Backend::EIGEN3, Matrix >
,
max< Backend::EIGEN3, Matrix >
,
rowwise_sum< Backend::EIGEN3, Matrix >
,
scale< Backend::EIGEN3, Matrix >
,
set_rows_const< Backend::EIGEN3, Matrix, Vector >
,
cross_entropy< Backend::EIGEN3, Matrix >
,
softmax< Backend::EIGEN3, Matrix >
,
squared_error< Backend::EIGEN3, Matrix >
,
sum< Backend::EIGEN3, Matrix >
,
sum_symmetric< Backend::EIGEN3, Matrix >
,
sin< T >
- n -
node_t :
CTreeMachine< T >
- r -
return_type :
sin< T >
,
sin< complex128_t >
ReturnType :
colwise_sum< Backend::EIGEN3, Matrix >
,
elementwise_product< Backend::EIGEN3, Matrix >
,
elementwise_square< Backend::EIGEN3, Matrix >
,
matrix_product< Backend::EIGEN3, Matrix >
,
rowwise_sum< Backend::EIGEN3, Matrix >
- s -
Scalar :
Block< Matrix >
,
SGMatrix< T >
,
SGVector< T >
ST :
elementwise_unary_operation< Backend::EIGEN3, Operand, ReturnType, UnaryOp >
,
elementwise_unary_operation< Backend::NATIVE, Operand, ReturnType, UnaryOp >
- t -
T :
add< Backend, Matrix >
,
add< Backend::EIGEN3, Matrix >
,
add< Backend::NATIVE, Matrix >
,
colwise_sum< Backend, Matrix >
,
colwise_sum< Backend::EIGEN3, Matrix >
,
convolve< Backend, Matrix >
,
convolve< Backend::EIGEN3, Matrix >
,
dot< Backend, Vector >
,
dot< Backend::EIGEN3, Vector >
,
dot< Backend::NATIVE, Vector >
,
elementwise_product< Backend, Matrix >
,
elementwise_product< Backend::EIGEN3, Matrix >
,
elementwise_square< Backend::EIGEN3, Matrix >
,
elementwise_unary_operation< Backend::EIGEN3, Operand, ReturnType, UnaryOp >
,
elementwise_unary_operation< Backend::NATIVE, Operand, ReturnType, UnaryOp >
,
matrix_product< Backend, Matrix >
,
matrix_product< Backend::EIGEN3, Matrix >
,
max< Backend, Matrix >
,
max< Backend::EIGEN3, Matrix >
,
max< Backend::NATIVE, Matrix >
,
rowwise_sum< Backend, Matrix >
,
rowwise_sum< Backend::EIGEN3, Matrix >
,
scale< Backend, Matrix >
,
scale< Backend::EIGEN3, Matrix >
,
scale< Backend::NATIVE, Matrix >
,
set_rows_const< Backend, Matrix, Vector >
,
set_rows_const< Backend::EIGEN3, Matrix, Vector >
,
cross_entropy< Backend, Matrix >
,
cross_entropy< Backend::EIGEN3, Matrix >
,
logistic< Backend, Matrix >
,
logistic< Backend::EIGEN3, Matrix >
,
multiply_by_logistic_derivative< Backend, Matrix >
,
multiply_by_logistic_derivative< Backend::EIGEN3, Matrix >
,
multiply_by_rectified_linear_derivative< Backend, Matrix >
,
multiply_by_rectified_linear_derivative< Backend::EIGEN3, Matrix >
,
rectified_linear< Backend, Matrix >
,
rectified_linear< Backend::EIGEN3, Matrix >
,
softmax< Backend, Matrix >
,
softmax< Backend::EIGEN3, Matrix >
,
squared_error< Backend, Matrix >
,
squared_error< Backend::EIGEN3, Matrix >
,
sum< Backend, Matrix >
,
sum< Backend::EIGEN3, Matrix >
,
sum_symmetric< Backend, Matrix >
,
sum_symmetric< Backend::EIGEN3, Matrix >
,
vector_sum< Backend, Vector >
,
vector_sum< Backend::EIGEN3, Vector >
,
vector_sum< Backend::NATIVE, Vector >
- v -
VectorXt :
add< Backend::EIGEN3, Matrix >
,
colwise_sum< Backend::EIGEN3, Matrix >
,
convolve< Backend::EIGEN3, Matrix >
,
max< Backend::EIGEN3, Matrix >
,
rowwise_sum< Backend::EIGEN3, Matrix >
,
scale< Backend::EIGEN3, Matrix >
,
set_rows_const< Backend::EIGEN3, Matrix, Vector >
,
sin< T >
SHOGUN
Machine Learning Toolbox - Documentation