LogTransform

class LogTransform(in_column: str, base: int = 10, inplace: bool = True, out_column: Optional[str] = None)[source]

Bases: etna.transforms.base.PerSegmentWrapper

LogTransform applies logarithm transformation for given series.

Init LogTransform.

Parameters

  • in_column (str) – column to apply transform

  • base (int) – base of logarithm to apply to series

  • inplace (bool) –

    • if True, apply logarithm transformation inplace to in_column,

    • if False, add column add transformed column to dataset

  • out_column (Optional[str]) – name of added column. If not given, use self.__repr__()

Inherited-members

Methods

fit(df)

Fit transform on each segment.

fit_transform(df)

May be reimplemented.

inverse_transform(df)

Apply inverse_transform to each segment.

transform(df)

Apply transform to each segment separately.