sktime.benchmarking.strategies

Unified high-level interface for various time series related learning strategies.

class sktime.benchmarking.strategies.TSCStrategy(estimator, name=None)[source]

Bases: sktime.benchmarking.strategies.BaseSupervisedLearningStrategy

Strategy for time series classification.

Parameters
  • estimator (an estimator) – Low-level estimator used in strategy.

  • name (str, optional (default=None)) – Name of strategy. If None, class name of estimator is used.

class sktime.benchmarking.strategies.TSRStrategy(estimator, name=None)[source]

Bases: sktime.benchmarking.strategies.BaseSupervisedLearningStrategy

Strategy for time series regression.

Parameters
  • estimator (an estimator) – Low-level estimator used in strategy.

  • name (str, optional (default=None)) – Name of strategy. If None, class name of estimator is used.