Method flat_growth_init

python/prophet/forecaster.py:1101–1119

Initialize flat growth. Provides a strong initialization for flat growth. Sets the growth to 0 and offset parameter as mean of history y_scaled values. Parameters ---------- df: pd.DataFrame with columns ds (date), y_scaled (scaled time series),

(df)

    @staticmethod
    def flat_growth_init(df):
        """Initialize flat growth.

        Provides a strong initialization for flat growth. Sets the growth to 0
        and offset parameter as mean of history y_scaled values.

        Parameters
        ----------
        df: pd.DataFrame with columns ds (date), y_scaled (scaled time series),
            and t (scaled time).

        Returns
        -------
        A tuple (k, m) with the rate (k) and offset (m) of the linear growth
        function.
        """
        k = 0
        m = df['y_scaled'].mean()
        return k, m

    def preprocess(self, df: pd.DataFrame, **kwargs) -> ModelInputData:
        """