evalml.pipelines.components.TimeSeriesBaselineEstimator

class evalml.pipelines.components.TimeSeriesBaselineEstimator(gap=1, random_seed=0, **kwargs)[source]

Time series estimator that predicts using the naive forecasting approach.

This is useful as a simple baseline estimator for time series problems

name = 'Time Series Baseline Estimator'
model_family = 'baseline'
supported_problem_types = [<ProblemTypes.TIME_SERIES_REGRESSION: 'time series regression'>, <ProblemTypes.TIME_SERIES_BINARY: 'time series binary'>, <ProblemTypes.TIME_SERIES_MULTICLASS: 'time series multiclass'>]
hyperparameter_ranges = {}
default_parameters = {'gap': 1}
predict_uses_y = True

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 time series estimator that predicts using the naive forecasting approach.

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 TimeSeriesBaselineEstimator