Returns a program options description for all available options.
70 {
71 po::options_description description("FANN options");
72 description.add_options()
73 ("max_epochs", po::value<unsigned int>(&m_max_epochs), "Number of iEpochs")
74 ("verbose_mode", po::value<bool>(&m_verbose_mode), "Prints out the training status or not")
75 ("hidden_layers_architecture", po::value<std::string>(&m_hidden_layers_architecture),
76 "Architecture with number of neurons in each hidden layer")
77 ("hidden_activiation_function", po::value<std::string>(&m_hidden_activiation_function),
78 "Name of acitvation function used for hidden layers")
79 ("output_activiation_function", po::value<std::string>(&m_output_activiation_function),
80 "Name of acitvation function used for output layer")
81 ("error_function", po::value<std::string>(&m_error_function), "Name of error function")
82 ("training_method", po::value<std::string>(&m_training_method), "Method used for backpropagation")
83 ("validation_fraction", po::value<double>(&m_validation_fraction), "Fraction of training sample used for validation.")
84 ("random_seeds", po::value<unsigned int>(&m_random_seeds),
85 "Number of times the training is repeated with a new weight random seed.")
86 ("test_rate", po::value<unsigned int>(&m_test_rate), "Rate of iEpochs to check the validation error")
87 ("number_of_threads", po::value<unsigned int>(&m_number_of_threads), "Number of threads for parallel training")
88 ("scale_features", po::value<bool>(&m_scale_features), "Boolean indicating if features should be scaled or not")
89 ("scale_target", po::value<bool>(&m_scale_target), "Boolean indicating if target should be scaled or not");
90 return description;
91 }
1.13.2