object_type#

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:

"object": object
"estimator": estimator = object with fit
"aligner": time series aligner or sequence aligner
"classifier": time series classifier
"clusterer": time series clusterer
"early_classifier": early time series classifier
"forecaster": forecaster
"metric": performance metric
"network": deep learning network
"param_est": parameter fitting estimator
"regressor": time series regressor
"series-annotator": time series annotator
"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
"distribution": pandas-like probability distribution