evalml.pipelines.components.StackedEnsembleClassifier

class evalml.pipelines.components.StackedEnsembleClassifier(input_pipelines=None, final_estimator=None, cv=None, n_jobs=- 1, random_seed=0, **kwargs)[source]

Stacked Ensemble Classifier.

name = 'Stacked Ensemble Classifier'
model_family = 'ensemble'
supported_problem_types = [<ProblemTypes.BINARY: 'binary'>, <ProblemTypes.MULTICLASS: 'multiclass'>, <ProblemTypes.TIME_SERIES_BINARY: 'time series binary'>, <ProblemTypes.TIME_SERIES_MULTICLASS: 'time series multiclass'>]
hyperparameter_ranges = {}
default_parameters = {'cv': None, 'final_estimator': None, 'n_jobs': -1}
predict_uses_y = False

Instance attributes

feature_importance

Not implemented for StackedEnsembleClassifier and StackedEnsembleRegressor

needs_fitting

parameters

Returns the parameters which were used to initialize the component

Methods:

__init__

Stacked ensemble classifier.

clone

Constructs a new component with the same parameters and random state.

describe

Describe a component and its parameters

fit

Fits component to data

load

Loads component at file path

predict

Make predictions using selected features.

predict_proba

Make probability estimates for labels.

save

Saves component at file path

Class Inheritance

Inheritance diagram of StackedEnsembleClassifier