StackMetaLearnerType Enum   
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.
Fields
| ELASTIC_NET | 
| ELASTIC_NET_CV | 
| LOGISTIC_REGRESSION | 
| LOGISTIC_REGRESSION_CV | 
| LIGHT_GBM_CLASSIFIER | 
| LIGHT_GBM_REGRESSOR | 
| LINEAR_REGRESSION | 
| NONE |