src.plot.advanced_classification_plot

Classes

AdvancedClassificationPlot(**kwargs)

class src.plot.advanced_classification_plot.AdvancedClassificationPlot(**kwargs)

Author:

Alberto M. Esmoris Pena

Class to plot the advanced evaluation of a classification task.

See MplPlot and AdvancedClassificationEvaluation.

Variables:

• evals (list of ClassificationEvaluation) – The many evaluations on the classification based on the requested filters.

• class_names (list of str) – The names for each class involved in the classification.

• domain_name – See AdvancedClassificationEvaluator.

• num_points – See AdvancedClassificationEvaluation.

• num_fpoints – See AdvancedClassificationEvaluation.

__init__(**kwargs)

Initialize an instance of AdvancedClassificationPlot.

Parameters:

kwargs – The key-word arguments defining the plot’s attributes.

plot(**kwargs)

Plot the global metrics, class-wise metrics, confusion matrices, and class distributions if the information is available.

See plot.Plot.plot().

plot_global_metrics(**kwargs)

Plot the global metrics.

plot_classwise_metrics(**kwargs)

Plot the class-wise metrics.

plot_confusion_matrices(**kwargs)

Plot the confusion matrices.

plot_class_distribution(**kwargs)

Plot the class distribution for each node in the domain.

has_global_metrics()

Check whether the plot contains global metrics.

Returns:

True if the plot contains global metrics, False otherwise.

has_classwise_metrics()

Check whether the plot contains class-wise metrics.

Returns:

True if the plot contains class-wise metrics, False otherwise.

has_confusion_matrices()

Check whether the plot contains confusion matrices.

Returns:

True if the plot contains confusion matrices, False otherwise.

has_class_distribution()

Check whether the plot contains all the information needed to plot the class distribution.

Returns:

True if the plot contains all the information needed to plot the class distribution.