pyanno4rt.learning_model.evaluation

Model evaluation module.

The module aims to provide methods and classes to evaluate the machine learning outcome models.

Subpackages

Classes
`ModelEvaluator`	Model evaluation class.

class pyanno4rt.learning_model.evaluation.ModelEvaluator(model_label)[source]

Model evaluation class.

This class provides the computation method for a number of evaluation metrics on a machine learning outcome model.

Parameters:: model_label (str) – Label for the machine learning outcome model.

model_label

See ‘Parameters’.

Overview

Methods
`compute`(true_labels, predicted_labels)	Compute the evaluation metrics.

Members

compute(true_labels, predicted_labels)[source]

Compute the evaluation metrics.

Parameters:

true_labels (ndarray) – Ground truth label values.
predicted_labels (tuple) – Tuple of arrays with the training and out-of-folds labels predicted by the machine learning outcome model.