Todo List

Member ConvolutionalLayer::calculate_hidden_delta_perceptron (const PerceptronLayer *, const Tensor< type, 4 > &, const Tensor< type, 2 > &, const Tensor< type, 2 > &, Tensor< type, 2 > &) const

Member ConvolutionalLayer::insert_padding (const Tensor< type, 4 > &, Tensor< type, 4 > &)

Add stride.

Member DataSet::calculate_target_distribution () const

Return class_distribution is wrong

Member DataSet::filter_data (const Tensor< type, 1 > &, const Tensor< type, 1 > &)

Member DataSet::generate_random_data (const Index &, const Index &)

Member DataSet::generate_Rosenbrock_data (const Index &, const Index &)

Member DataSet::set_default_columns_scalers ()

Takes too long in big files.

Member DataSet::unuse_Tukey_outliers (const type &=type(1.5))

Member GeneticAlgorithm::to_string_matrix () const

to many rows in string matrix.

Member Layer::competitive (const Tensor< type, 2 > &, Tensor< type, 2 > &) const

exception with several maximum indices

Member Layer::hard_sigmoid (const Tensor< type, 4 > &, Tensor< type, 4 > &) const

Test this method.

Member LongShortTermMemoryLayer::write_combinations_c () const

Member LongShortTermMemoryLayer::write_combinations_python () const

Member LongShortTermMemoryLayer::write_expression (const Tensor< string, 1 > &, const Tensor< string, 1 > &) const

Update this method.

Member LossIndex::back_propagate_lm (const DataSetBatch &, NeuralNetworkForwardPropagation &, LossIndexBackPropagationLM &) const

Update method.

Member MinkowskiError::calculate_error (const DataSetBatch &batch, const NeuralNetworkForwardPropagation &forward_propagation, LossIndexBackPropagation &back_propagation) const

Divide by number of samples.

Member ModelSelection::perform_neurons_selection ()

Member NeuralNetwork::forward_propagate (const DataSetBatch &, NeuralNetworkForwardPropagation &) const

Member NeuralNetwork::get_information () const

Complete for rest of layers.

Member NormalizedSquaredError::set_time_series_normalization_coefficient ()

What is targets_t1 ???

Member PerceptronLayer::write_activations_c () const

Member PerceptronLayer::write_activations_python () const

Member ProbabilisticLayer::write_activations_c () const

Member QuasiNewtonMethod::calculate_BFGS_inverse_hessian (QuasiNewtonMehtodData &) const

Add thread pool.

Member RecurrentLayer::initialize_input_weights_Glorot (const type &, const type &)

Member RecurrentLayer::write_activations_python () const

Member RecurrentLayer::write_expression (const Tensor< string, 1 > &, const Tensor< string, 1 > &) const

Implement method

Member ResponseOptimization::perform_optimization () const

Update method.

Member ResponseOptimization::set_inputs_outputs_conditions (const Tensor< string, 1 > &, const Tensor< string, 1 > &, const Tensor< type, 1 > &=Tensor< type, 1 >())

Update method.

Member TestingAnalysis::LinearRegressionAnalysis::save (const string &) const

Member TrainingResults::save (const string &) const

Member WeightedSquaredError::calculate_error_gradient_lm (const DataSetBatch &, LossIndexBackPropagationLM &) const

Add gradient and hessian weighted squared error code (insted of normalized squared error)