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StackMetaLearnerType Enum

  • Reference

The meta-learner is a model trained on the output of the individual heterogeneous models. Default 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). This parameter can be one of the following strings: LogisticRegression, LogisticRegressionCV, LightGBMClassifier, ElasticNet, ElasticNetCV, LightGBMRegressor, or LinearRegression.

Inheritance
builtins.str
StackMetaLearnerType
Enum
StackMetaLearnerType

Constructor

StackMetaLearnerType(value, names=None, *, module=None, qualname=None, type=None, start=1, boundary=None)

Fields

ELASTIC_NET
ELASTIC_NET_CV
LOGISTIC_REGRESSION
LOGISTIC_REGRESSION_CV
LIGHT_GBM_CLASSIFIER
LIGHT_GBM_REGRESSOR
LINEAR_REGRESSION
NONE