Transformer
FittedParamExtractor
Fitted parameter extractor.
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).
Schnellstart
python
from sktime.transformations.summarize import FittedParamExtractor
estimator = FittedParamExtractor(forecaster, param_names, n_jobs=None)Parameter(3)
- forecasterestimator object
- sktime estimator to extract features from
- param_namesstr
- Name of parameters to extract from the forecaster.
- n_jobsint, 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.