Class NNBCA

constructor

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

• Parameters

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

    Metric name

  Returns NNBCA

_classes

_d

_distances

_g

_metric

_r

_t

_x

_y

fit

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

• Add datas.

  Parameters

  • datas: number[][]

    Training data
  • targets: any[]

    Target values

  Returns void

predict

• predict(datas: number[][]): any[]

• Returns predicted categories.

  Parameters

  • datas: number[][]

    Sample data

  Returns any[]

  Predicted values