_OneSegmentDeseasonalityTransform

class _OneSegmentDeseasonalityTransform(in_column: str, period: int, model: str = DeseasonalModel.additive)

Bases: etna.transforms.base.OneSegmentTransform

Init _OneSegmentDeseasonalityTransform.

Parameters

• in_column (str) – name of processed column

• period (int) – size of seasonality

• model (str) – ‘additive’ (default) or ‘multiplicative’

Inherited-members

Methods

fit(df)	Perform seasonal decomposition.
fit_transform(df)	Fit and transform Dataframe.
inverse_transform(df)	Add seasonal component.
set_params(**params)	Return new object instance with modified parameters.
to_dict()	Collect all information about etna object in dict.
transform(df)	Subtract seasonal component.

fit(df: pandas.core.frame.DataFrame) → etna.transforms.decomposition.deseasonal._OneSegmentDeseasonalityTransform

Perform seasonal decomposition.

Parameters

df (pandas.core.frame.DataFrame) – Features dataframe with time

Returns

instance after processing

Return type

result

Raises

ValueError: – if input column contains NaNs in the middle of the series

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

Add seasonal component.

Parameters

df (pandas.core.frame.DataFrame) – Features dataframe with time

Returns

Dataframe with extracted features

Return type

result

Raises

• ValueError: – if input column contains zero or negative values

• ValueError: – if quantile columns contains zero or negative values

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

Subtract seasonal component.

Parameters

df (pandas.core.frame.DataFrame) – Features dataframe with time

Returns

Dataframe with extracted features

Return type

result

Raises

ValueError: – if input column contains zero or negative values