| calculate_absolute_errors_descriptives() const | opennn::TestingAnalysis | |
| calculate_absolute_errors_descriptives(const MatrixR &, const MatrixR &) const | opennn::TestingAnalysis | |
| calculate_area_under_curve(const MatrixR &) const | opennn::TestingAnalysis | |
| calculate_area_under_curve_confidence_limit(const MatrixR &, const MatrixR &) const | opennn::TestingAnalysis | |
| calculate_binary_classification_errors() const | opennn::TestingAnalysis | |
| calculate_binary_classification_errors(const string &) const | opennn::TestingAnalysis | |
| calculate_binary_classification_rates(const float=0.50) const | opennn::TestingAnalysis | |
| calculate_binary_classification_tests(const float=0.50) const | opennn::TestingAnalysis | |
| calculate_confusion(const MatrixR &, const MatrixR &, float=0.50) const | opennn::TestingAnalysis | |
| calculate_confusion(const float=0.50) const | opennn::TestingAnalysis | |
| calculate_cumulative_gain(const MatrixR &, const MatrixR &) const | opennn::TestingAnalysis | |
| calculate_determination(const VectorR &, const VectorR &) const | opennn::TestingAnalysis | |
| calculate_error() const | opennn::TestingAnalysis | |
| calculate_error_autocorrelation(const Index=10) const | opennn::TestingAnalysis | |
| calculate_error_data() const | opennn::TestingAnalysis | |
| calculate_error_data_descriptives() const | opennn::TestingAnalysis | |
| calculate_error_data_histograms(const Index=10) const | opennn::TestingAnalysis | |
| calculate_errors() const | opennn::TestingAnalysis | |
| calculate_errors(const MatrixR &, const MatrixR &) const | opennn::TestingAnalysis | |
| calculate_errors(const string &) const | opennn::TestingAnalysis | |
| calculate_false_negative_samples(const MatrixR &, const MatrixR &, const vector< Index > &, float) const | opennn::TestingAnalysis | |
| calculate_false_positive_samples(const MatrixR &, const MatrixR &, const vector< Index > &, float) const | opennn::TestingAnalysis | |
| calculate_inputs_errors_cross_correlation(const Index=10) const | opennn::TestingAnalysis | |
| calculate_lift_chart(const MatrixR &) const | opennn::TestingAnalysis | |
| calculate_masked_accuracy(const Tensor3 &, const MatrixR &) const | opennn::TestingAnalysis | |
| calculate_maximal_errors(const Index=10) const | opennn::TestingAnalysis | |
| calculate_maximum_gain(const MatrixR &, const MatrixR &) const | opennn::TestingAnalysis | |
| calculate_misclassified_samples(const MatrixR &, const MatrixR &, const vector< string > &) const | opennn::TestingAnalysis | |
| calculate_multilabel_confusion(const float) const | opennn::TestingAnalysis | |
| calculate_multiple_classification_errors() const | opennn::TestingAnalysis | |
| calculate_multiple_classification_errors(const string &) const | opennn::TestingAnalysis | |
| calculate_multiple_classification_precision() const | opennn::TestingAnalysis | |
| calculate_multiple_classification_rates() const | opennn::TestingAnalysis | |
| calculate_multiple_classification_rates(const MatrixR &, const MatrixR &, const vector< Index > &) const | opennn::TestingAnalysis | |
| calculate_multiple_classification_tests() const | opennn::TestingAnalysis | |
| calculate_negative_cumulative_gain(const MatrixR &, const MatrixR &) const | opennn::TestingAnalysis | |
| calculate_optimal_threshold(const MatrixR &) const | opennn::TestingAnalysis | |
| calculate_output_histogram(const MatrixR &, Index=10) const | opennn::TestingAnalysis | |
| calculate_percentage_error_data() const | opennn::TestingAnalysis | |
| calculate_percentage_errors_descriptives() const | opennn::TestingAnalysis | |
| calculate_percentage_errors_descriptives(const MatrixR &, const MatrixR &) const | opennn::TestingAnalysis | |
| calculate_positives_negatives_rate(const MatrixR &, const MatrixR &) const | opennn::TestingAnalysis | |
| calculate_roc_curve(const MatrixR &, const MatrixR &) const | opennn::TestingAnalysis | |
| calculate_true_negative_samples(const MatrixR &, const MatrixR &, const vector< Index > &, float) const | opennn::TestingAnalysis | |
| calculate_true_positive_samples(const MatrixR &, const MatrixR &, const vector< Index > &, float) const | opennn::TestingAnalysis | |
| calculate_well_classified_samples(const MatrixR &, const MatrixR &, const vector< string > &) const | opennn::TestingAnalysis | |
| check() const | opennn::TestingAnalysis | |
| from_JSON(const JsonDocument &) | opennn::TestingAnalysis | |
| get_batch_size() const | opennn::TestingAnalysis | inline |
| get_dataset() const | opennn::TestingAnalysis | inline |
| get_neural_network() const | opennn::TestingAnalysis | inline |
| linear_correlation(const MatrixR &, const MatrixR &) const | opennn::TestingAnalysis | |
| load(const filesystem::path &) | opennn::TestingAnalysis | |
| perform_cumulative_gain_analysis() const | opennn::TestingAnalysis | |
| perform_goodness_of_fit_analysis() const | opennn::TestingAnalysis | |
| perform_Kolmogorov_Smirnov_analysis() const | opennn::TestingAnalysis | |
| perform_lift_chart_analysis() const | opennn::TestingAnalysis | |
| perform_roc_analysis() const | opennn::TestingAnalysis | |
| print_binary_classification_tests() const | opennn::TestingAnalysis | |
| print_error_data_descriptives() const | opennn::TestingAnalysis | |
| print_goodness_of_fit_analysis() const | opennn::TestingAnalysis | |
| print_linear_correlations() const | opennn::TestingAnalysis | |
| save(const filesystem::path &) const | opennn::TestingAnalysis | |
| save_confusion(const filesystem::path &) const | opennn::TestingAnalysis | |
| save_misclassified_samples(const MatrixR &, const MatrixR &, const vector< string > &, const filesystem::path &) const | opennn::TestingAnalysis | |
| save_misclassified_samples_statistics(const MatrixR &, const MatrixR &, const vector< string > &, const filesystem::path &) const | opennn::TestingAnalysis | |
| save_multiple_classification_tests(const filesystem::path &) const | opennn::TestingAnalysis | |
| save_well_classified_samples(const MatrixR &, const MatrixR &, const vector< string > &, const filesystem::path &) const | opennn::TestingAnalysis | |
| save_well_classified_samples_statistics(const MatrixR &, const MatrixR &, const vector< string > &, const filesystem::path &) const | opennn::TestingAnalysis | |
| set_batch_size(Index new_batch_size) | opennn::TestingAnalysis | inline |
| set_dataset(Dataset *new_dataset) | opennn::TestingAnalysis | inline |
| set_neural_network(NeuralNetwork *new_neural_network) | opennn::TestingAnalysis | inline |
| test_transformer() const | opennn::TestingAnalysis | |
| test_transformer(const vector< string > &context_string, bool imported_vocabulary) const | opennn::TestingAnalysis | |
| TestingAnalysis(NeuralNetwork *=nullptr, Dataset *=nullptr) | opennn::TestingAnalysis | |
| to_JSON(JsonWriter &) const | opennn::TestingAnalysis | |
1.13.2