Class SVM

constructor

• new SVM(c?, coef0?, degree?, gamma?, nu?, p?, kernelType?, classWeights?): SVM

• Parameters

  • Optional c: number

  • Optional coef0: number

  • Optional degree: number

  • Optional gamma: number

  • Optional nu: number

  • Optional p: number

  • Optional kernelType: number

  • Optional classWeights: Mat

  Returns SVM

• new SVM(params): SVM

• Parameters

  • params: {
        c?: number;
        classWeights?: Mat;
        coef0?: number;
        degree?: number;
        gamma?: number;
        kernelType?: number;
        nu?: number;
        p?: number;
    }

    • Optional c?: number

    • Optional classWeights?: Mat

    • Optional coef0?: number

    • Optional degree?: number

    • Optional gamma?: number

    • Optional kernelType?: number

    • Optional nu?: number

    • Optional p?: number

  Returns SVM

Readonly c

Readonly classWeights

Readonly coef0

Readonly degree

Readonly gamma

Readonly isTrained

Readonly kernelType

Readonly nu

Readonly p

Readonly varCount

calcError

• calcError(trainData, test): {
      error: number;
      responses: Mat;
  }

• Parameters

  • trainData: TrainData

  • test: boolean

  Returns {
      error: number;
      responses: Mat;
  }

  • error: number

  • responses: Mat

getDecisionFunction

• getDecisionFunction(i): {
      alpha: Mat;
      rho: number;
      svidx: Mat;
  }

• Parameters

  • i: number

  Returns {
      alpha: Mat;
      rho: number;
      svidx: Mat;
  }

  • alpha: Mat

  • rho: number

  • svidx: Mat

getSupportVectors

• getSupportVectors(): Mat

• Returns Mat

load

• load(file): void

• Parameters

  • file: string

  Returns void

predict

• predict(sample, flags?): number

• Parameters

  • sample: number[]

  • Optional flags: number

  Returns number

• predict(samples, flags?): number[]

• Parameters

  • samples: Mat

  • Optional flags: number

  Returns number[]

save

• save(file): void

• Parameters

  • file: string

  Returns void

setParams

• setParams(c?, coef0?, degree?, gamma?, nu?, p?, kernelType?, classWeights?): void

• Parameters

  • Optional c: number

  • Optional coef0: number

  • Optional degree: number

  • Optional gamma: number

  • Optional nu: number

  • Optional p: number

  • Optional kernelType: number

  • Optional classWeights: Mat

  Returns void

• setParams(args): void

• Parameters

  • args: {
        c?: number;
        classWeights?: Mat;
        coef0?: number;
        degree?: number;
        gamma?: number;
        kernelType?: number;
        nu?: number;
        p?: number;
    }

    • Optional c?: number

    • Optional classWeights?: Mat

    • Optional coef0?: number

    • Optional degree?: number

    • Optional gamma?: number

    • Optional kernelType?: number

    • Optional nu?: number

    • Optional p?: number

  Returns void

train

• train(trainData, flags?): boolean

• Parameters

  • trainData: TrainData

  • Optional flags: number

  Returns boolean

• train(samples, layout, responses): boolean

• Parameters

  • samples: Mat

  • layout: number

  • responses: Mat

  Returns boolean

trainAsync

• trainAsync(trainData, flags?): Promise<boolean>

• Parameters

  • trainData: TrainData

  • Optional flags: number

  Returns Promise<boolean>

• trainAsync(samples, layout, responses): Promise<boolean>

• Parameters

  • samples: Mat

  • layout: number

  • responses: Mat

  Returns Promise<boolean>

trainAuto

• trainAuto(trainData, kFold?, cGrid?, gammaGrid?, pGrid?, nuGrid?, coeffGrid?, degreeGrid?, balanced?): Mat

• Parameters

  • trainData: TrainData

  • Optional kFold: number

  • Optional cGrid: ParamGrid

  • Optional gammaGrid: ParamGrid

  • Optional pGrid: ParamGrid

  • Optional nuGrid: ParamGrid

  • Optional coeffGrid: ParamGrid

  • Optional degreeGrid: ParamGrid

  • Optional balanced: boolean

  Returns Mat

trainAutoAsync

• trainAutoAsync(trainData, kFold?, cGrid?, gammaGrid?, pGrid?, nuGrid?, coeffGrid?, degreeGrid?, balanced?): Promise<Mat>

• Parameters

  • trainData: TrainData

  • Optional kFold: number

  • Optional cGrid: ParamGrid

  • Optional gammaGrid: ParamGrid

  • Optional pGrid: ParamGrid

  • Optional nuGrid: ParamGrid

  • Optional coeffGrid: ParamGrid

  • Optional degreeGrid: ParamGrid

  • Optional balanced: boolean

  Returns Promise<Mat>