bfgn.reporting.visualizations package

Submodules

bfgn.reporting.visualizations.colormaps module

bfgn.reporting.visualizations.colormaps.check_is_categorical_colormap_repeated(num_classes)[source]

bfgn.reporting.visualizations.histories module

bfgn.reporting.visualizations.histories.plot_history(history)[source]
Return type

[<class ‘matplotlib.figure.Figure’>]

bfgn.reporting.visualizations.logs module

bfgn.reporting.visualizations.logs.plot_log_warnings_and_errors(config_data, config_model)[source]
Return type

List[Figure]

bfgn.reporting.visualizations.model_performance module

bfgn.reporting.visualizations.model_performance.plot_classification_report(sampled)[source]
Return type

List[Figure]

bfgn.reporting.visualizations.model_performance.plot_confusion_matrix(sampled)[source]
Return type

[<class ‘matplotlib.figure.Figure’>]

bfgn.reporting.visualizations.model_performance.plot_spatial_classification_error(sampled, max_pages=8, max_responses_per_page=10)[source]
Return type

List[Figure]

bfgn.reporting.visualizations.model_performance.plot_spatial_regression_error(sampled, max_pages=8, max_responses_per_page=10)[source]
Return type

List[Figure]

bfgn.reporting.visualizations.networks module

bfgn.reporting.visualizations.networks.plot_model_summary(model)[source]
Return type

List[Figure]

bfgn.reporting.visualizations.networks.plot_network_feature_progression(sampled, compact=False, max_pages=10, max_filters=10)[source]
Return type

List[Figure]

bfgn.reporting.visualizations.samples module

bfgn.reporting.visualizations.samples.plot_classification_samples(sampled, max_pages=8, max_samples_per_page=10, max_features_per_page=5, max_responses_per_page=5)[source]
Return type

List[Figure]

bfgn.reporting.visualizations.samples.plot_regression_samples(sampled, max_pages=8, max_samples_per_page=10, max_features_per_page=5, max_responses_per_page=5)[source]
Return type

List[Figure]

bfgn.reporting.visualizations.samples.plot_sample_histograms(sampled, max_responses_per_page=15)[source]

bfgn.reporting.visualizations.subplots module

bfgn.reporting.visualizations.subplots.plot_raw_features(sampled, idx_sample, idx_feature, ax, add_xlabel, add_ylabel)[source]
Return type

None

bfgn.reporting.visualizations.subplots.plot_transformed_features(sampled, idx_sample, idx_feature, ax, add_xlabel, add_ylabel)[source]
Return type

None

bfgn.reporting.visualizations.subplots.plot_raw_responses(sampled, idx_sample, idx_response, ax, add_xlabel, add_ylabel)[source]
Return type

None

bfgn.reporting.visualizations.subplots.plot_transformed_responses(sampled, idx_sample, idx_response, ax, add_xlabel, add_ylabel)[source]
Return type

None

bfgn.reporting.visualizations.subplots.plot_categorical_responses(sampled, idx_sample, idx_response, ax, add_xlabel, add_ylabel)[source]
Return type

None

bfgn.reporting.visualizations.subplots.plot_raw_predictions(sampled, idx_sample, idx_response, ax, add_xlabel, add_ylabel)[source]
Return type

None

bfgn.reporting.visualizations.subplots.plot_transformed_predictions(sampled, idx_sample, idx_response, ax, add_xlabel, add_ylabel)[source]
Return type

None

bfgn.reporting.visualizations.subplots.plot_classification_predictions_max_likelihood(sampled, idx_sample, ax, add_xlabel, add_ylabel)[source]
Return type

None

bfgn.reporting.visualizations.subplots.plot_weights(sampled, idx_sample, ax, add_xlabel, add_ylabel)[source]
Return type

None

bfgn.reporting.visualizations.subplots.plot_binary_error_classification(sampled, idx_sample, ax, add_xlabel, add_ylabel)[source]
Return type

None

bfgn.reporting.visualizations.subplots.plot_raw_error_regression(sampled, idx_sample, idx_response, ax, add_xlabel, add_ylabel)[source]
Return type

None

bfgn.reporting.visualizations.subplots.plot_transformed_error_regression(sampled, idx_sample, idx_response, ax, add_xlabel, add_ylabel)[source]
Return type

None

bfgn.reporting.visualizations.subplots.add_internal_window_to_subplot(sampled, ax)[source]
Return type

None

Module contents