Class Histogram

constructor

• new Histogram(
      config?: {
          binMethod?: "fd" | "scott" | "rice" | "sturges" | "doane" | "sqrt";
          count?: number;
          domain?: [number, number][];
          range?: number[][];
          size?: number;
      },
  ): Histogram

• Parameters

  • Optionalconfig: {
        binMethod?: "fd" | "scott" | "rice" | "sturges" | "doane" | "sqrt";
        count?: number;
        domain?: [number, number][];
        range?: number[][];
        size?: number;
    }

    Config

    • OptionalbinMethod?: "fd" | "scott" | "rice" | "sturges" | "doane" | "sqrt"

      Bin method

    • Optionalcount?: number

      Bin count

    • Optionaldomain?: [number, number][]

      Domain of each dimension

    • Optionalrange?: number[][]

      Bin ranges

    • Optionalsize?: number

      Bin size

  Returns Histogram

_config

_count

_dense

_ranges

_separate_datas

_size

fit

• fit(datas: number[][]): any[]

• Returns histogram data.

  Parameters

  • datas: number[][]

    Training data

  Returns any[]

  Predicted values. An array nested by the number of dimensions of the data

predict

• predict(datas: number[][]): number[]

• Returns predicted counted values.

  Parameters

  • datas: number[][]

    Sample data

  Returns number[]

  Predicted values