@ai-on-browser/data-analysis-models
    Preparing search index...

    Class HoltWinters

    Holt-Winters method

    Index
    • Parameters

      • a: number

        Weight for last value

      • Optionalb: number

        Weight for trend value

      • Optionalg: number

        Weight for seasonal data

      • Optionals: number

        Length of season

      Returns HoltWinters

    _a: number
    _b: number
    _g: number
    _level: any
    _s: number
    _season: any[] | undefined
    _step_offset: number | undefined
    _trend: any
    • Fit model and return predict values.

      Parameters

      • x: number[]

        Training data

      Returns number[]

      Predicted values

    • Returns predicted future values.

      Parameters

      • k: number

        Prediction count

      Returns number[][]

      Predicted values