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ClassifierStacking Class

  • Reference

Description Computes the output by training a model on a training set where each instance is a vector containing the outputs of the different models on a training instance, and the instance's label

Inheritance
nimbusml.internal.core.ensemble.output_combiner._classifierstacking.ClassifierStacking
ClassifierStacking

Constructor

ClassifierStacking(validation_dataset_proportion=0.3, **params)

Parameters

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

deep
default value: False