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.