ClusteringEvaluator

class capymoa.evaluation.ClusteringEvaluator

Bases: object

Abstract clustering evaluator for CapyMOA. It is slightly different from the other evaluators because it does not have a moa_evaluator object. Clustering evaluation at this point is very simple and only uses the unsupervised metrics.

__init__(update_interval=1000)

Only the update_interval is set here. :param update_interval: The interval at which the evaluator should update the measurements

get_instances_seen()

get_update_interval()

get_clusterer_name()

update(clusterer: Clusterer)

metrics_header()

metrics()

get_measurements()