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Forecaster

OnlineEnsembleForecaster

API referenceSource
Categorical in XInsamplePred int insample

Online Updating Ensemble of forecasters.

Quickstart

python
from sktime.forecasting.online_learning import OnlineEnsembleForecaster

estimator = OnlineEnsembleForecaster(forecasters, ensemble_algorithm=None, n_jobs=None)

Parameters(3)

ensemble_algorithmensemble algorithm
forecasterslist of estimator, (str, estimator), or (str, estimator, count) tuples

Estimators to apply to the input series.

  • (str, estimator) tuples: the string is a name for the estimator.

  • estimator without string will be assigned unique name based on class name

  • (str, estimator, count) tuples: the estimator will be replicated count times.

n_jobsint or None, optional (default=None)
The number of jobs to run in parallel for fit. None means 1 unless in a joblib.parallel_backend context. -1 means using all processors.