Class WeightedKNN

constructor

• new WeightedKNN(
      k: number,
      metric?:
          | "euclid"
          | "manhattan"
          | "chebyshev"
          | "minkowski"
          | (arg0: number[], arg1: number[]) => number,
      weight?:
          | "gaussian"
          | "epanechnikov"
          | "rectangular"
          | "triangular"
          | "triweight"
          | "quartic"
          | "cosine"
          | "inversion",
  ): WeightedKNN

• Parameters

  • k: number

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

    Metric name
  • Optionalweight:
        | "gaussian"
        | "epanechnikov"
        | "rectangular"
        | "triangular"
        | "triweight"
        | "quartic"
        | "cosine"
        | "inversion"

    Weighting scheme name

  Returns WeightedKNN

_c

_d

_k

_metric

_w

_weight

_x

_y

fit

• fit(x: number[][], y: any[]): void

• Fit model.

  Parameters

  • x: number[][]

    Training data
  • y: any[]

    Target values

  Returns void

predict

• predict(data: number[][]): any[]

• Returns predicted categories.

  Parameters

  • data: number[][]

    Sample data

  Returns any[]

  Predicted values