autoencoder_position | CNeuralLayer | |
build_gradient_parameter_dictionary(CMap< TParameter *, CSGObject * > *dict) | CSGObject | |
clone() | CSGObject | virtual |
CNeuralLayer() | CNeuralLayer | |
CNeuralLayer(int32_t num_neurons) | CNeuralLayer | |
CNeuralLinearLayer() | CNeuralLinearLayer | |
CNeuralLinearLayer(int32_t num_neurons) | CNeuralLinearLayer | |
compute_activations(SGVector< float64_t > parameters, CDynamicObjectArray *layers) | CNeuralLinearLayer | virtual |
shogun::CNeuralLayer::compute_activations(SGMatrix< float64_t > inputs) | CNeuralLayer | virtual |
compute_contraction_term(SGVector< float64_t > parameters) | CNeuralLinearLayer | virtual |
compute_contraction_term_gradients(SGVector< float64_t > parameters, SGVector< float64_t > gradients) | CNeuralLinearLayer | virtual |
compute_error(SGMatrix< float64_t > targets) | CNeuralLinearLayer | virtual |
compute_gradients(SGVector< float64_t > parameters, SGMatrix< float64_t > targets, CDynamicObjectArray *layers, SGVector< float64_t > parameter_gradients) | CNeuralLinearLayer | virtual |
compute_local_gradients(SGMatrix< float64_t > targets) | CNeuralLinearLayer | virtual |
contraction_coefficient | CNeuralLayer | |
CSGObject() | CSGObject | |
CSGObject(const CSGObject &orig) | CSGObject | |
deep_copy() const | CSGObject | virtual |
dropout_activations() | CNeuralLayer | virtual |
dropout_prop | CNeuralLayer | |
enforce_max_norm(SGVector< float64_t > parameters, float64_t max_norm) | CNeuralLinearLayer | virtual |
equals(CSGObject *other, float64_t accuracy=0.0, bool tolerant=false) | CSGObject | virtual |
get(const Tag< T > &_tag) const | CSGObject | |
get(const std::string &name) const | CSGObject | |
get_activation_gradients() | CNeuralLayer | virtual |
get_activations() | CNeuralLayer | virtual |
get_global_io() | CSGObject | |
get_global_parallel() | CSGObject | |
get_global_version() | CSGObject | |
get_height() | CNeuralLayer | virtual |
get_input_indices() | CNeuralLayer | virtual |
get_local_gradients() | CNeuralLayer | virtual |
get_modelsel_names() | CSGObject | |
get_modsel_param_descr(const char *param_name) | CSGObject | |
get_modsel_param_index(const char *param_name) | CSGObject | |
get_name() const | CNeuralLinearLayer | virtual |
get_num_neurons() | CNeuralLayer | virtual |
get_num_parameters() | CNeuralLayer | virtual |
get_width() | CNeuralLayer | virtual |
has(const std::string &name) const | CSGObject | |
has(const Tag< T > &tag) const | CSGObject | |
has(const std::string &name) const | CSGObject | |
initialize_neural_layer(CDynamicObjectArray *layers, SGVector< int32_t > input_indices) | CNeuralLinearLayer | virtual |
initialize_parameters(SGVector< float64_t > parameters, SGVector< bool > parameter_regularizable, float64_t sigma) | CNeuralLinearLayer | virtual |
io | CSGObject | |
is_generic(EPrimitiveType *generic) const | CSGObject | virtual |
is_input() | CNeuralLayer | virtual |
is_training | CNeuralLayer | |
load_serializable(CSerializableFile *file, const char *prefix="") | CSGObject | virtual |
load_serializable_post() | CSGObject | protectedvirtual |
load_serializable_pre() | CSGObject | protectedvirtual |
m_activation_gradients | CNeuralLayer | protected |
m_activations | CNeuralLayer | protected |
m_batch_size | CNeuralLayer | protected |
m_dropout_mask | CNeuralLayer | protected |
m_gradient_parameters | CSGObject | |
m_hash | CSGObject | |
m_height | CNeuralLayer | protected |
m_input_indices | CNeuralLayer | protected |
m_input_sizes | CNeuralLayer | protected |
m_local_gradients | CNeuralLayer | protected |
m_model_selection_parameters | CSGObject | |
m_num_neurons | CNeuralLayer | protected |
m_num_parameters | CNeuralLayer | protected |
m_parameters | CSGObject | |
m_width | CNeuralLayer | protected |
parallel | CSGObject | |
parameter_hash_changed() | CSGObject | virtual |
print_modsel_params() | CSGObject | |
print_serializable(const char *prefix="") | CSGObject | virtual |
register_param(Tag< T > &_tag, const T &value) | CSGObject | protected |
register_param(const std::string &name, const T &value) | CSGObject | protected |
save_serializable(CSerializableFile *file, const char *prefix="") | CSGObject | virtual |
save_serializable_post() | CSGObject | protectedvirtual |
save_serializable_pre() | CSGObject | protectedvirtual |
set(const Tag< T > &_tag, const T &value) | CSGObject | |
set(const std::string &name, const T &value) | CSGObject | |
set_batch_size(int32_t batch_size) | CNeuralLayer | virtual |
set_generic() | CSGObject | |
set_generic() | CSGObject | |
set_generic() | CSGObject | |
set_generic() | CSGObject | |
set_generic() | CSGObject | |
set_generic() | CSGObject | |
set_generic() | CSGObject | |
set_generic() | CSGObject | |
set_generic() | CSGObject | |
set_generic() | CSGObject | |
set_generic() | CSGObject | |
set_generic() | CSGObject | |
set_generic() | CSGObject | |
set_generic() | CSGObject | |
set_generic() | CSGObject | |
set_generic() | CSGObject | |
set_global_io(SGIO *io) | CSGObject | |
set_global_parallel(Parallel *parallel) | CSGObject | |
set_global_version(Version *version) | CSGObject | |
set_num_neurons(int32_t num_neurons) | CNeuralLayer | virtual |
shallow_copy() const | CSGObject | virtual |
unset_generic() | CSGObject | |
update_parameter_hash() | CSGObject | virtual |
version | CSGObject | |
~CNeuralLayer() | CNeuralLayer | virtual |
~CNeuralLinearLayer() | CNeuralLinearLayer | virtual |
~CSGObject() | CSGObject | virtual |