object_type#

object_type()[source]#

Scientific type of the object.

Typing tag for all objects in sktime.

  • String name: "object_type"

  • Public metadata tag

  • Values: string or list of strings

  • Example: "forecaster"

  • Example 2: ["transformer", "clusterer"] (polymorphic object)

  • Default: "object"

In sktime, every object has a scientific type (scitype), determining the type of object and unified interface, e.g., forecaster, time series classifier, time series regressor.

The object_type tag of an object is a string, or list of strings, specifying the scitpye of the object. For instance, a forecaster has scitype “forecaster”.

In case of a list, the object is polymorphic, and can assume (class), or simultaneously satisfy different interfaces (object).

Valid scitypes are defined in sktime.registry.BASE_CLASS_SCITYPE_LIST, or sktime.registry.BASE_CLASS_REGISTER.

The full list of scitypes in the current version is:

  • "aligner": time series aligner or sequence aligner

  • "classifier": time series classifier

  • "clusterer": time series clusterer

  • "dataset": dataset object

  • "dataset_classification": classification dataset object

  • "dataset_forecasting": forecasting dataset object

  • "dataset_regression": regression dataset object

  • "detector": detector - anomalies, outliers, change points

  • "early_classifier": early time series classifier

  • "estimator": estimator = object with fit

  • "forecaster": time series forecaster

  • "global_forecaster": global time series forecaster

  • "metric": performance metric

  • "metric_detection": performance metric for detectors

  • "metric_forecasting": performance metric for point forecasting

  • "metric_forecasting_proba": performance metric for probabilisticforecasting

  • "network": deep learning network

  • "object": base scitype for all objects

  • "param_est": parameter fitting estimator

  • "reconciler": time series reconciliation transformer

  • "regressor": time series regressor

  • "series-annotator": detector - anomalies, outliers, change points

  • "splitter": time series splitter

  • "transformer": time series transformer

  • "transformer-pairwise": pairwise transformer for tabular data, distance or kernel

  • "transformer-pairwise-panel": pairwise transformer for panel data, distance or kernel

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