FittedParamExtractor

class sktime.transformations.panel.summarize.FittedParamExtractor(forecaster, param_names, n_jobs=None)[source]

Extract parameters of a fitted forecaster as features for a subsequent tabular learning task. This class first fits a forecaster to the given time series and then returns the fitted parameters. The fitted parameters can be used as features for a tabular estimator (e.g. classification).

Parameters
  • forecaster (estimator object) – sktime estimator to extract features from

  • param_names (str) – Name of parameters to extract from the forecaster.

  • n_jobs (int, optional (default=None)) – Number of jobs to run in parallel. None means 1 unless in a joblib.parallel_backend context. -1 means using all processors.

__init__(forecaster, param_names, n_jobs=None)[source]

Initialize self. See help(type(self)) for accurate signature.