StackEnsembleSettings interface

Package:

@azure/arm-machinelearning

Advances setting to customize StackEnsemble run.

Properties

stackMetaLearnerKWargs	Optional parameters to pass to the initializer of the meta-learner.
stackMetaLearnerTrainPercentage	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.
stackMetaLearnerType	The meta-learner is a model trained on the output of the individual heterogeneous models.\r\nDefault meta-learners are LogisticRegression for classification tasks (or LogisticRegressionCV if cross-validation is enabled) and ElasticNet for regression/forecasting tasks (or ElasticNetCV if cross-validation is enabled).\r\nThis parameter can be one of the following strings: LogisticRegression, LogisticRegressionCV, LightGBMClassifier, ElasticNet, ElasticNetCV, LightGBMRegressor, or LinearRegression

Property Details

stackMetaLearnerKWargs

Optional parameters to pass to the initializer of the meta-learner.

stackMetaLearnerKWargs?: any

Property Value

any

stackMetaLearnerTrainPercentage

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.

stackMetaLearnerTrainPercentage?: number

Property Value

number

stackMetaLearnerType

The meta-learner is a model trained on the output of the individual heterogeneous models.\r\nDefault meta-learners are LogisticRegression for classification tasks (or LogisticRegressionCV if cross-validation is enabled) and ElasticNet for regression/forecasting tasks (or ElasticNetCV if cross-validation is enabled).\r\nThis parameter can be one of the following strings: LogisticRegression, LogisticRegressionCV, LightGBMClassifier, ElasticNet, ElasticNetCV, LightGBMRegressor, or LinearRegression

stackMetaLearnerType?: string

Property Value

string