| calculate_anomaly_predictions(const VectorR &, float) const | opennn::Evaluation | |
| calculate_anomaly_threshold(const ReconstructionErrorStatistics &, float=1.0f) const | opennn::Evaluation | |
| calculate_area_under_curve(const MatrixR &) const | opennn::Evaluation | |
| calculate_area_under_curve_confidence_limit(const MatrixR &, const MatrixR &) const | opennn::Evaluation | |
| calculate_area_under_curve_confidence_limit(float, Index, Index) const | opennn::Evaluation | |
| calculate_binary_classification_errors(const string &sample_role) const | opennn::Evaluation | inline |
| calculate_binary_classification_rates(const float=0.50) const | opennn::Evaluation | |
| calculate_binary_classification_tests(const float=0.50) const | opennn::Evaluation | |
| calculate_binary_classification_tests(const MatrixR &, const MatrixR &, float=0.50) const | opennn::Evaluation | |
| calculate_confusion(const MatrixR &, const MatrixR &, float=0.50) const | opennn::Evaluation | |
| calculate_confusion(const float=0.50) const | opennn::Evaluation | |
| calculate_cumulative_gain(const MatrixR &, const MatrixR &) const | opennn::Evaluation | |
| calculate_determination(const VectorR &, const VectorR &) const | opennn::Evaluation | |
| calculate_error_data() const | opennn::Evaluation | |
| calculate_error_data_descriptives() const | opennn::Evaluation | |
| calculate_error_data_histograms(const Index=10) const | opennn::Evaluation | |
| calculate_errors(const MatrixR &, const MatrixR &) const | opennn::Evaluation | |
| calculate_errors(const string &) const | opennn::Evaluation | |
| calculate_false_negative_samples(const MatrixR &targets, const MatrixR &outputs, const vector< Index > &indices, float threshold) const | opennn::Evaluation | inline |
| calculate_false_positive_samples(const MatrixR &targets, const MatrixR &outputs, const vector< Index > &indices, float threshold) const | opennn::Evaluation | inline |
| calculate_lift_chart(const MatrixR &) const | opennn::Evaluation | |
| calculate_multiple_classification_errors(const string &sample_role) const | opennn::Evaluation | inline |
| calculate_multiple_classification_rates() const | opennn::Evaluation | |
| calculate_multiple_classification_rates(const MatrixR &, const MatrixR &, const vector< Index > &) const | opennn::Evaluation | |
| calculate_optimal_threshold(const MatrixR &) const | opennn::Evaluation | |
| calculate_percentage_error_data() const | opennn::Evaluation | |
| calculate_positives_negatives_rate(const MatrixR &, const MatrixR &) const | opennn::Evaluation | |
| calculate_reconstruction_error_statistics(const VectorR &) const | opennn::Evaluation | |
| calculate_reconstruction_errors(const MatrixR &, const MatrixR &) const | opennn::Evaluation | |
| calculate_reconstruction_errors(const string &) const | opennn::Evaluation | |
| calculate_roc_curve(const MatrixR &, const MatrixR &) const | opennn::Evaluation | |
| calculate_true_negative_samples(const MatrixR &targets, const MatrixR &outputs, const vector< Index > &indices, float threshold) const | opennn::Evaluation | inline |
| calculate_true_positive_samples(const MatrixR &targets, const MatrixR &outputs, const vector< Index > &indices, float threshold) const | opennn::Evaluation | inline |
| check() const | opennn::Evaluation | |
| Evaluation(Network *=nullptr, Dataset *=nullptr) | opennn::Evaluation | explicit |
| get_dataset() const | opennn::Evaluation | inline |
| get_network() const | opennn::Evaluation | inline |
| get_targets_and_outputs(const string &sample_role) const | opennn::Evaluation | |
| perform_goodness_of_fit_analysis() const | opennn::Evaluation | |
| perform_lift_chart_analysis() const | opennn::Evaluation | |
| perform_roc_analysis() const | opennn::Evaluation | |
| print_binary_classification_tests() const | opennn::Evaluation | |
| print_goodness_of_fit_analysis() const | opennn::Evaluation | |
| print_multiple_classification_tests() const | opennn::Evaluation | |
| set_batch_size(Index new_batch_size) | opennn::Evaluation | inline |
| set_dataset(Dataset *new_dataset) | opennn::Evaluation | inline |
| set_network(Network *new_network) | opennn::Evaluation | inline |
