_OneSegmentTrendTransform

class _OneSegmentTrendTransform(in_column: str, out_column: str, change_points_model: etna.transforms.decomposition.change_points_based.change_points_models.base.BaseChangePointsModelAdapter, per_interval_model: etna.transforms.decomposition.change_points_based.per_interval_models.base.PerIntervalModel)

Bases: etna.transforms.decomposition.change_points_based.detrend._OneSegmentChangePointsTrendTransform

_OneSegmentTrendTransform adds trend as a feature.

Init _OneSegmentTrendTransform.

Parameters

• in_column (str) – name of column to apply transform to

• out_column (str) – name of added column

• change_points_model (etna.transforms.decomposition.change_points_based.change_points_models.base.BaseChangePointsModelAdapter) – model to get trend change points

• per_interval_model (etna.transforms.decomposition.change_points_based.per_interval_models.base.PerIntervalModel) – model to get trend from data

Inherited-members

Methods

fit(df)	Fit transform.
fit_transform(df)	Fit and transform Dataframe.
inverse_transform(df)	Split df to intervals of stable trend according to previous change point detection and add trend to each one.
set_params(**params)	Return new object instance with modified parameters.
to_dict()	Collect all information about etna object in dict.
transform(df)	Transform data from df.