ClassifierBestDiverseSelector Class

Description Combines the models whose predictions are as diverse as possible.

Inheritance

nimbusml.internal.core.ensemble.sub_model_selector._classifierbestdiverseselector.ClassifierBestDiverseSelector

ClassifierBestDiverseSelector

Constructor

ClassifierBestDiverseSelector(diversity_metric_type={'Name': 'MultiDisagreementDiversityMeasure', 'Settings': {}}, learners_selection_proportion=0.5, validation_dataset_proportion=0.3, **params)

Parameters

Name	Description
diversity_metric_type	The metric type to be used to find the diversity among base learners.
learners_selection_proportion	The proportion of best base learners to be selected. The range is 0.0-1.0.
validation_dataset_proportion	The proportion of instances to be selected to test the individual base learner. If it is 0, it uses training set.
params	Additional arguments sent to compute engine.

Methods

get_params

Get the parameters for this operator.

get_params

Get the parameters for this operator.

get_params(deep=False)

Parameters

Name	Description
deep	Default value: False