MaxTransform

class MaxTransform(in_column: str, window: int, seasonality: int = 1, min_periods: int = 1, fillna: float = 0, out_column: Optional[str] = None)[source]

Bases: etna.transforms.math.statistics.WindowStatisticsTransform

MaxTransform computes max value for given window.

Init MaxTransform.

Parameters

  • in_column (str) – name of processed column

  • window (int) – size of window to aggregate

  • seasonality (int) – seasonality of lags to compute window’s aggregation with

  • min_periods (int) – min number of targets in window to compute aggregation; if there is less than min_periods number of targets return None

  • fillna (float) – value to fill results NaNs with

  • out_column (str, optional) – result column name. If not given use self.__repr__()

Inherited-members

Methods

fit(*args)

Fits transform.

fit_transform(df)

May be reimplemented.

inverse_transform(df)

Inverse transforms dataframe.

transform(df)

Compute feature's value.