tsseg.metrics.WeightedNormalizedMutualInformation

class tsseg.metrics.WeightedNormalizedMutualInformation(distance_func='linear', alpha=0.1, average_method='arithmetic', **kwargs)[source]

Computes the Weighted Normalized Mutual Information (WNMI).

__init__(distance_func='linear', alpha=0.1, average_method='arithmetic', **kwargs)[source]: Initializes the metric with optional parameters.

Methods

`__init__`([distance_func, alpha, average_method])	Initializes the metric with optional parameters.
`compute`(y_true, y_pred, **kwargs)	Computes the value of the metric.