azure.ai.ml.automl.StackEnsembleSettings.yml

### YamlMime:PythonClass
uid: azure.ai.ml.automl.StackEnsembleSettings
name: StackEnsembleSettings
fullName: azure.ai.ml.automl.StackEnsembleSettings
module: azure.ai.ml.automl
inheritances:
- azure.ai.ml.entities._mixins.RestTranslatableMixin
summary: Advance setting to customize StackEnsemble run.
constructor:
  syntax: 'StackEnsembleSettings(*, stack_meta_learner_k_wargs: Any | None = None,
    stack_meta_learner_train_percentage: float = 0.2, stack_meta_learner_type: StackMetaLearnerType
    | None = None, **kwargs: Any)'
  parameters:
  - name: stack_meta_learner_k_wargs
    description: 'Optional parameters to pass to the initializer of the

      meta-learner.'
    isRequired: true
    types:
    - <xref:any>
  - name: stack_meta_learner_train_percentage
    description: '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.'
    isRequired: true
    types:
    - <xref:float>
  - name: stack_meta_learner_type
    description: 'The meta-learner is a model trained on the output of the

      individual heterogeneous models. Possible values include: "None", "LogisticRegression",

      "LogisticRegressionCV", "LightGBMClassifier", "ElasticNet", "ElasticNetCV",

      "LightGBMRegressor", "LinearRegression".'
    isRequired: true
    types:
    - <xref:str>
    - <xref:azure.mgmt.machinelearningservices.models.StackMetaLearnerType>
  keywordOnlyParameters:
  - name: stack_meta_learner_k_wargs
    isRequired: true
  - name: stack_meta_learner_train_percentage
    defaultValue: '0.2'
  - name: stack_meta_learner_type
    isRequired: true