ClassificationWindowedEvaluator

class capymoa.evaluation.ClassificationWindowedEvaluator

Bases: ClassificationEvaluator

Uses the ClassificationEvaluator to perform a windowed evaluation.

IMPORTANT: The results for the last window are not always available through `metrics()`, if the window_size does not perfectly divide the stream, the metrics corresponding to the last remaining instances in the last window can be obtained by invoking `metrics()`

__init__(schema=None, window_size=1000)

accuracy()

kappa()

kappa_t()

kappa_m()

f1_score()

precision()

recall()

get_instances_seen()

metrics()

metrics_dict()

metrics_header()

metrics_per_window()

update(y_target_index: int, y_pred_index: int | None)

Update the evaluator with the ground-truth and the prediction.

Parameters:

• y_target_index – The ground-truth class index. This is NOT the actual class value, but the index of the class value in the schema.

• y_pred_index – The predicted class index. If the classifier abstains from making a prediction, this value can be None.

Raises:

ValueError – If the values are not valid indexes in the schema.