evalml.pipelines.components.BaselineRegressor

class evalml.pipelines.components.BaselineRegressor(strategy='mean', random_state=0, **kwargs)[source]

Regressor that predicts using the specified strategy.

This is useful as a simple baseline regressor to compare with other regressors.

name = 'Baseline Regressor'
model_family = 'baseline'
supported_problem_types = [<ProblemTypes.REGRESSION: 'regression'>, <ProblemTypes.TIME_SERIES_REGRESSION: 'time series regression'>]
hyperparameter_ranges = {}
default_parameters = {'strategy': 'mean'}
predict_uses_y = False

Instance attributes

feature_importance

Returns importance associated with each feature.

needs_fitting

parameters

Returns the parameters which were used to initialize the component

Methods:

__init__

Baseline regressor that uses a simple strategy to make predictions.

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 BaselineRegressor