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Forecaster

TrendForecaster

Categorical in XInsamplePred int insample

Trend based forecasts of time series data, regressing values on index.

Quickstart

python
from sktime.forecasting.trend import TrendForecaster

estimator = TrendForecaster(regressor=None)

Parameters(1)

regressorestimator object, default = None
Define the regression model type. If not set, will default to sklearn.linear_model.LinearRegression

Examples

>>> from sktime.datasets import load_airline
>>> from sktime.forecasting.trend import TrendForecaster
>>> y = load_airline ()
>>> forecaster = TrendForecaster ()
>>> forecaster. fit (y) TrendForecaster(
... )
>>> y_pred = forecaster. predict (fh = [1, 2, 3 ])