| add_instance(const Vector< double > &) | OpenNN::DataSet | |
| angular_units | OpenNN::DataSet | private |
| angular_variables | OpenNN::DataSet | private |
| AngularUnits enum name | OpenNN::DataSet | |
| append_variable(const Vector< double > &) | OpenNN::DataSet | |
| arrange_autoassociation_names(const Vector< std::string > &) const | OpenNN::DataSet | |
| arrange_generalization_data(void) const | OpenNN::DataSet | |
| arrange_input_data(void) const | OpenNN::DataSet | |
| arrange_target_data(void) const | OpenNN::DataSet | |
| arrange_testing_data(void) const | OpenNN::DataSet | |
| arrange_testing_input_data(void) const | OpenNN::DataSet | |
| arrange_testing_target_data(void) const | OpenNN::DataSet | |
| arrange_time_series_names(const Vector< std::string > &) const | OpenNN::DataSet | |
| arrange_training_data(void) const | OpenNN::DataSet | |
| arrange_training_input_data(void) const | OpenNN::DataSet | |
| arrange_training_target_data(void) const | OpenNN::DataSet | |
| autoassociation | OpenNN::DataSet | private |
| balance_data(const double &) | OpenNN::DataSet | |
| balance_target_class_distribution(void) | OpenNN::DataSet | |
| calculate_data_histograms(const size_t &=10) const | OpenNN::DataSet | |
| calculate_data_statistics(void) const | OpenNN::DataSet | |
| calculate_data_statistics_matrix(void) const | OpenNN::DataSet | |
| calculate_distances(void) const | OpenNN::DataSet | |
| calculate_generalization_instances_statistics(void) const | OpenNN::DataSet | |
| calculate_generalization_target_data_mean(void) const | OpenNN::DataSet | |
| calculate_inputs_statistics(void) const | OpenNN::DataSet | |
| calculate_linear_correlations(void) const | OpenNN::DataSet | |
| calculate_target_class_distribution(void) const | OpenNN::DataSet | |
| calculate_targets_statistics(void) const | OpenNN::DataSet | |
| calculate_testing_instances_statistics(void) const | OpenNN::DataSet | |
| calculate_testing_target_data_mean(void) const | OpenNN::DataSet | |
| calculate_training_instances_statistics(void) const | OpenNN::DataSet | |
| calculate_training_target_data_mean(void) const | OpenNN::DataSet | |
| check_header_line(void) | OpenNN::DataSet | private |
| check_separator(const std::string &) const | OpenNN::DataSet | private |
| Comma enum value (defined in OpenNN::DataSet) | OpenNN::DataSet | |
| convert_angular_variable_degrees(const size_t &) | OpenNN::DataSet | |
| convert_angular_variable_radians(const size_t &) | OpenNN::DataSet | |
| convert_angular_variables(void) | OpenNN::DataSet | |
| convert_angular_variables_degrees(const Vector< size_t > &) | OpenNN::DataSet | |
| convert_angular_variables_radians(const Vector< size_t > &) | OpenNN::DataSet | |
| convert_autoassociation(void) | OpenNN::DataSet | |
| convert_time_series(void) | OpenNN::DataSet | |
| count_data_file_columns_number(void) const | OpenNN::DataSet | private |
| count_tokens(std::string &) const | OpenNN::DataSet | |
| data | OpenNN::DataSet | private |
| data_file_name | OpenNN::DataSet | private |
| DataSet(void) | OpenNN::DataSet | explicit |
| DataSet(const Matrix< double > &) | OpenNN::DataSet | explicit |
| DataSet(const size_t &, const size_t &) | OpenNN::DataSet | explicit |
| DataSet(const size_t &, const size_t &, const size_t &) | OpenNN::DataSet | explicit |
| DataSet(const tinyxml2::XMLDocument &) | OpenNN::DataSet | explicit |
| DataSet(const std::string &) | OpenNN::DataSet | explicit |
| DataSet(const DataSet &) | OpenNN::DataSet | |
| Degrees enum value (defined in OpenNN::DataSet) | OpenNN::DataSet | |
| display | OpenNN::DataSet | private |
| empty(void) const | OpenNN::DataSet | |
| filter_data(const Vector< double > &, const Vector< double > &) | OpenNN::DataSet | |
| from_XML(const tinyxml2::XMLDocument &) | OpenNN::DataSet | |
| get_angular_units(void) const | OpenNN::DataSet | |
| get_angular_variables(void) const | OpenNN::DataSet | |
| get_autoassociation(void) const | OpenNN::DataSet | |
| get_column_index(const Vector< Vector< std::string > > &, const size_t) const | OpenNN::DataSet | private |
| get_data(void) const | OpenNN::DataSet | |
| get_data_file_name(void) const | OpenNN::DataSet | |
| get_display(void) const | OpenNN::DataSet | |
| get_generalization_input_data(void) const | OpenNN::DataSet | |
| get_generalization_target_data(void) const | OpenNN::DataSet | |
| get_header_line(void) const | OpenNN::DataSet | |
| get_instance(const size_t &) const | OpenNN::DataSet | |
| get_instance(const size_t &, const Vector< size_t > &) const | OpenNN::DataSet | |
| get_instances(void) const | OpenNN::DataSet | |
| get_instances_pointer(void) | OpenNN::DataSet | |
| get_lags_number(void) const | OpenNN::DataSet | |
| get_missing_values(void) const | OpenNN::DataSet | |
| get_missing_values_label(void) const | OpenNN::DataSet | |
| get_missing_values_pointer(void) | OpenNN::DataSet | |
| get_scaling_unscaling_method(const std::string &) | OpenNN::DataSet | static |
| get_separator(void) const | OpenNN::DataSet | |
| get_separator_string(void) const | OpenNN::DataSet | |
| get_tokens(const std::string &) const | OpenNN::DataSet | |
| get_trimmed(const std::string &) const | OpenNN::DataSet | |
| get_variable(const size_t &) const | OpenNN::DataSet | |
| get_variable(const size_t &, const Vector< size_t > &) const | OpenNN::DataSet | |
| get_variables(void) const | OpenNN::DataSet | |
| get_variables_pointer(void) | OpenNN::DataSet | |
| has_data(void) const | OpenNN::DataSet | |
| header_line | OpenNN::DataSet | private |
| initialize_data(const double &) | OpenNN::DataSet | |
| instances | OpenNN::DataSet | private |
| is_mixed(const Vector< std::string > &) const | OpenNN::DataSet | |
| is_not_numeric(const Vector< std::string > &) const | OpenNN::DataSet | |
| is_numeric(const std::string &) const | OpenNN::DataSet | |
| is_numeric(const Vector< std::string > &) const | OpenNN::DataSet | |
| lags_number | OpenNN::DataSet | private |
| load(const std::string &) | OpenNN::DataSet | |
| load_data(void) | OpenNN::DataSet | |
| MeanStandardDeviation enum value (defined in OpenNN::DataSet) | OpenNN::DataSet | |
| MinimumMaximum enum value (defined in OpenNN::DataSet) | OpenNN::DataSet | |
| missing_values | OpenNN::DataSet | private |
| missing_values_label | OpenNN::DataSet | private |
| operator=(const DataSet &) | OpenNN::DataSet | |
| operator==(const DataSet &) const | OpenNN::DataSet | |
| prepend(const std::string &, const std::string &) const | OpenNN::DataSet | |
| print(void) const | OpenNN::DataSet | |
| print_data(void) const | OpenNN::DataSet | |
| print_data_preview(void) const | OpenNN::DataSet | |
| print_summary(void) const | OpenNN::DataSet | |
| Radians enum value (defined in OpenNN::DataSet) | OpenNN::DataSet | |
| randomize_data_normal(const double &mean=0.0, const double &standard_deviation=1.0) | OpenNN::DataSet | |
| randomize_data_uniform(const double &minimum=-1.0, const double &maximum=1.0) | OpenNN::DataSet | |
| read_from_data_file(const Vector< Vector< std::string > > &) | OpenNN::DataSet | private |
| read_header_line(void) const | OpenNN::DataSet | private |
| read_instance(const std::string &, const Vector< Vector< std::string > > &, const size_t &) | OpenNN::DataSet | private |
| save(const std::string &) const | OpenNN::DataSet | |
| save_data(void) const | OpenNN::DataSet | |
| scale_data(const std::string &, const Vector< Statistics< double > > &) | OpenNN::DataSet | |
| scale_data(const std::string &) | OpenNN::DataSet | |
| scale_data_mean_standard_deviation(const Vector< Statistics< double > > &) | OpenNN::DataSet | |
| scale_data_mean_standard_deviation(void) | OpenNN::DataSet | |
| scale_data_minimum_maximum(const Vector< Statistics< double > > &) | OpenNN::DataSet | |
| scale_data_minimum_maximum(void) | OpenNN::DataSet | |
| scale_inputs(const std::string &) | OpenNN::DataSet | |
| scale_inputs(const std::string &, const Vector< Statistics< double > > &) | OpenNN::DataSet | |
| scale_inputs_mean_standard_deviation(const Vector< Statistics< double > > &) | OpenNN::DataSet | |
| scale_inputs_mean_standard_deviation(void) | OpenNN::DataSet | |
| scale_inputs_minimum_maximum(const Vector< Statistics< double > > &) | OpenNN::DataSet | |
| scale_inputs_minimum_maximum(void) | OpenNN::DataSet | |
| scale_targets(const std::string &) | OpenNN::DataSet | |
| scale_targets(const std::string &, const Vector< Statistics< double > > &) | OpenNN::DataSet | |
| scale_targets_mean_standard_deviation(const Vector< Statistics< double > > &) | OpenNN::DataSet | |
| scale_targets_mean_standard_deviation(void) | OpenNN::DataSet | |
| scale_targets_minimum_maximum(const Vector< Statistics< double > > &) | OpenNN::DataSet | |
| scale_targets_minimum_maximum(void) | OpenNN::DataSet | |
| ScalingUnscalingMethod enum name | OpenNN::DataSet | |
| scrub_missing_values(void) | OpenNN::DataSet | |
| scrub_missing_values_mean(void) | OpenNN::DataSet | |
| scrub_missing_values_unuse(void) | OpenNN::DataSet | |
| Semicolon enum value (defined in OpenNN::DataSet) | OpenNN::DataSet | |
| Separator enum name | OpenNN::DataSet | |
| separator | OpenNN::DataSet | private |
| set(void) | OpenNN::DataSet | |
| set(const Matrix< double > &) | OpenNN::DataSet | |
| set(const size_t &, const size_t &) | OpenNN::DataSet | |
| set(const size_t &, const size_t &, const size_t &) | OpenNN::DataSet | |
| set(const DataSet &) | OpenNN::DataSet | |
| set(const tinyxml2::XMLDocument &) | OpenNN::DataSet | |
| set(const std::string &) | OpenNN::DataSet | |
| set_angular_units(AngularUnits &) | OpenNN::DataSet | |
| set_angular_variables(const Vector< size_t > &) | OpenNN::DataSet | |
| set_autoassociation(const bool &) | OpenNN::DataSet | |
| set_data(const Matrix< double > &) | OpenNN::DataSet | |
| set_data_file_name(const std::string &) | OpenNN::DataSet | |
| set_default(void) | OpenNN::DataSet | |
| set_display(const bool &) | OpenNN::DataSet | |
| set_from_data_file(void) | OpenNN::DataSet | private |
| set_header_line(const bool &) | OpenNN::DataSet | |
| set_instance(const size_t &, const Vector< double > &) | OpenNN::DataSet | |
| set_instances_number(const size_t &) | OpenNN::DataSet | |
| set_lags_number(const size_t &) | OpenNN::DataSet | |
| set_missing_values_label(const std::string &) | OpenNN::DataSet | |
| set_separator(const Separator &) | OpenNN::DataSet | |
| set_separator(const std::string &) | OpenNN::DataSet | |
| set_variables_number(const size_t &) | OpenNN::DataSet | |
| Space enum value (defined in OpenNN::DataSet) | OpenNN::DataSet | |
| subtract_instance(const size_t &) | OpenNN::DataSet | |
| subtract_variable(const size_t &) | OpenNN::DataSet | |
| Tab enum value (defined in OpenNN::DataSet) | OpenNN::DataSet | |
| to_string(void) const | OpenNN::DataSet | |
| to_XML(void) const | OpenNN::DataSet | |
| trim(std::string &) const | OpenNN::DataSet | |
| unscale_data_mean_standard_deviation(const Vector< Statistics< double > > &) | OpenNN::DataSet | |
| unscale_data_minimum_maximum(const Vector< Statistics< double > > &) | OpenNN::DataSet | |
| unscale_inputs_mean_standard_deviation(const Vector< Statistics< double > > &) | OpenNN::DataSet | |
| unscale_inputs_minimum_maximum(const Vector< Statistics< double > > &) | OpenNN::DataSet | |
| unscale_targets_mean_standard_deviation(const Vector< Statistics< double > > &) | OpenNN::DataSet | |
| unscale_targets_minimum_maximum(const Vector< Statistics< double > > &) | OpenNN::DataSet | |
| unuse_constant_variables(void) | OpenNN::DataSet | |
| unuse_repeated_instances(void) | OpenNN::DataSet | |
| variables | OpenNN::DataSet | private |
| write_separator(void) const | OpenNN::DataSet | |
| ~DataSet(void) | OpenNN::DataSet | virtual |
1.8.9.1
