_OneSegmentChangePointsSegmentationTransform

class _OneSegmentChangePointsSegmentationTransform(in_column: str, out_column: str, change_point_model: etna.transforms.decomposition.base_change_points.BaseChangePointsModelAdapter)

Bases: etna.transforms.base.Transform

_OneSegmentChangePointsSegmentationTransform make label encoder to change points.

Init _OneSegmentChangePointsSegmentationTransform. :param in_column: name of column to apply transform to :param out_column: result column name. If not given use self.__repr__() :param change_point_model: model to get change points

Inherited-members

Parameters

• in_column (str) –

• out_column (str) –

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

Methods

fit(df)	Fit _OneSegmentChangePointsSegmentationTransform: find change points in df and build intervals.
fit_transform(df)	May be reimplemented.
inverse_transform(df)	Inverse transforms dataframe.
load(path)	Load an object.
save(path)	Save the object.
to_dict()	Collect all information about etna object in dict.
transform(df)	Split df to intervals.

fit(df: pandas.core.frame.DataFrame) → etna.transforms.decomposition.change_points_segmentation._OneSegmentChangePointsSegmentationTransform

Fit _OneSegmentChangePointsSegmentationTransform: find change points in df and build intervals.

Parameters

df (pandas.core.frame.DataFrame) – one segment dataframe indexed with timestamp

Returns

instance with trained change points

Raises

ValueError – If series contains NaNs in the middle

Return type

etna.transforms.decomposition.change_points_segmentation._OneSegmentChangePointsSegmentationTransform

transform(df: pandas.core.frame.DataFrame) → pandas.core.frame.DataFrame

Split df to intervals.

Parameters

df (pandas.core.frame.DataFrame) – one segment dataframe

Returns

df with new column

Return type

df