Class RadiusNeighborRegression

radius neighbor regression

Hierarchy

  • RadiusNeighborBase
    • RadiusNeighborRegression

Constructors

constructor

Properties

_c _d _metric _p _r

Methods

_add _near_points add fit predict

Constructors

constructor

  • new RadiusNeighborRegression(
        r?: number,
        metric?:
            | "euclid"
            | "manhattan"
            | "chebyshev"
            | "minkowski"
            | (arg0: number[], arg1: number[]) => number,
    ): RadiusNeighborRegression

  • Parameters

    • Optionalr: number

      Radius to determine neighborhood

    • Optionalmetric:
          | "euclid"
          | "manhattan"
          | "chebyshev"
          | "minkowski"
          | (arg0: number[], arg1: number[]) => number

      Metric name

    Returns RadiusNeighborRegression

Properties

_c

_c: any[]

_d

_d: (a: any, b: any) => any

_metric

_metric:
    | "euclid"
    | "manhattan"
    | "chebyshev"
    | "minkowski"
    | (arg0: number[], arg1: number[]) => number

_p

_p: any[]

_r

_r: number

Methods

_add

  • _add(point: number[], category?: any): void

  • Add a data.

    Parameters

    • point: number[]

      Training data

    • Optionalcategory: any

      Target value

    Returns void

_near_points

  • _near_points(data: any): any[]

  • Parameters

    • data: any

    Returns any[]

add

  • add(point: number[], category: number): void

  • Add a data.

    Parameters

    • point: number[]

      Training data

    • category: number

      Target value

    Returns void

fit

  • fit(datas: number[][], targets: number[]): void

  • Add datas.

    Parameters

    • datas: number[][]

      Training data

    • targets: number[]

      Target values

    Returns void

predict

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

  • Returns predicted values.

    Parameters

    • datas: number[][]

      Sample data

    Returns number[]

    Predicted values

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