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Optional parameters to pass to the initializer of the meta-learner.
Specifies the proportion of the training set (when choosing train and validation type of training) to be reserved for training the meta-learner. Default value is 0.2.
The meta-learner is a model trained on the output of the individual heterogeneous models.
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Advances setting to customize StackEnsemble run.