_OneSegmentLagTransform

class _OneSegmentLagTransform(in_column: str, lags: Union[List[int], int], out_column: Optional[str] = None)

Bases: etna.transforms.base.Transform

Generates series of lags from given segment.

Inherited-members

Parameters

• in_column (str) –

• lags (Union[List[int], int]) –

• out_column (Optional[str]) –

Methods

fit(*args)	Fit feature model.
fit_transform(df)	May be reimplemented.
inverse_transform(df)	Inverse transforms dataframe.
transform(df)	Transform dataframe.

fit(*args) → etna.transforms.math.lags._OneSegmentLagTransform

Fit feature model.

Should be implemented by user.

Parameters

df –

Return type

etna.transforms.math.lags._OneSegmentLagTransform

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

Transform dataframe.

Should be implemented by user

Parameters

df (pandas.core.frame.DataFrame) –

Return type

pandas.core.frame.DataFrame