Class ENN

constructor

• new ENN(
      version?: 0 | 2 | 1,
      k?: number,
      metric?:
          | "euclid"
          | "manhattan"
          | "chebyshev"
          | "minkowski"
          | ((arg0: number[], arg1: number[]) => number),
  ): ENN

  Parameters

  • Optionalversion: 0 | 2 | 1

    Version

  • Optionalk: number

    Number of neighborhoods

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

    Metric name

  Returns ENN

_c

_classes

_d

_k

_metric

_n

_nears

_t

_v

_x

_predict0

• _predict0(data: any): any

  Parameters

  • data: any

  Returns any

_predict1

• _predict1(data: any): any

  Parameters

  • data: any

  Returns any

_predict2

• _predict2(data: any): any

  Parameters

  • data: any

  Returns any

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