Stack
data class StackEnsembleSettingsArgs(val stackMetaLearnerKWargs: Output<Any>? = null, val stackMetaLearnerTrainPercentage: Output<Double>? = null, val stackMetaLearnerType: Output<Either<String, StackMetaLearnerType>>? = null) : ConvertibleToJava<StackEnsembleSettingsArgs>
Advances setting to customize StackEnsemble run.
Constructors
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constructor(stackMetaLearnerKWargs: Output<Any>? = null, stackMetaLearnerTrainPercentage: Output<Double>? = null, stackMetaLearnerType: Output<Either<String, StackMetaLearnerType>>? = null)
Properties
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Optional parameters to pass to the initializer of the meta-learner.
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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.
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The meta-learner is a model trained on the output of the individual heterogeneous models.