ChangePointsSegmentationTransform

class ChangePointsSegmentationTransform(in_column: str, change_point_model: etna.transforms.decomposition.base_change_points.BaseChangePointsModelAdapter, out_column: Optional[str] = None)

Bases: etna.transforms.base.PerSegmentWrapper, etna.transforms.base.FutureMixin

ChangePointsSegmentationTransform make label encoder to change points.

Warning

This transform can suffer from look-ahead bias. For transforming data at some timestamp it uses information from the whole train part.

Init ChangePointsSegmentationTransform.

in_column:

name of column to fit change point model

out_column:

result column name. If not given use self.__repr__()

change_point_model:

model to get change points

Inherited-members

Parameters

• in_column (str) –

• change_point_model (etna.transforms.decomposition.base_change_points.BaseChangePointsModelAdapter) –

• out_column (Optional[str]) –

Methods

fit(df)	Fit transform on each segment.
fit_transform(df)	May be reimplemented.
inverse_transform(df)	Apply inverse_transform to each segment.
load(path)	Load an object.
save(path)	Save the object.
to_dict()	Collect all information about etna object in dict.
transform(df)	Apply transform to each segment separately.