azure.mgmt.machinelearningservices.models.StackMetaLearnerType.yml

### YamlMime:PythonEnum
uid: azure.mgmt.machinelearningservices.models.StackMetaLearnerType
name: StackMetaLearnerType
fullName: azure.mgmt.machinelearningservices.models.StackMetaLearnerType
summary: '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.'
module: azure.mgmt.machinelearningservices.models
constructor:
  syntax: StackMetaLearnerType(value, names=None, *, module=None, qualname=None, type=None,
    start=1, boundary=None)
inheritances:
- builtins.str
- enum.Enum
fields:
- name: ELASTIC_NET
  uid: azure.mgmt.machinelearningservices.models.StackMetaLearnerType.ELASTIC_NET
- name: ELASTIC_NET_CV
  uid: azure.mgmt.machinelearningservices.models.StackMetaLearnerType.ELASTIC_NET_CV
- name: LOGISTIC_REGRESSION
  uid: azure.mgmt.machinelearningservices.models.StackMetaLearnerType.LOGISTIC_REGRESSION
- name: LOGISTIC_REGRESSION_CV
  uid: azure.mgmt.machinelearningservices.models.StackMetaLearnerType.LOGISTIC_REGRESSION_CV
- name: LIGHT_GBM_CLASSIFIER
  uid: azure.mgmt.machinelearningservices.models.StackMetaLearnerType.LIGHT_GBM_CLASSIFIER
- name: LIGHT_GBM_REGRESSOR
  uid: azure.mgmt.machinelearningservices.models.StackMetaLearnerType.LIGHT_GBM_REGRESSOR
- name: LINEAR_REGRESSION
  uid: azure.mgmt.machinelearningservices.models.StackMetaLearnerType.LINEAR_REGRESSION
- name: NONE
  uid: azure.mgmt.machinelearningservices.models.StackMetaLearnerType.NONE