Class SelfTraining

constructor

• new SelfTraining(
      model: {
          fit: (arg0: number[][], arg1: any[]) => void;
          predict: (arg0: number[][]) => { category: any; score: number }[];
      },
      threshold: number,
  ): SelfTraining

  Parameters

  • model: {
        fit: (arg0: number[][], arg1: any[]) => void;
        predict: (arg0: number[][]) => { category: any; score: number }[];
    }

    View

    • fit: (arg0: number[][], arg1: any[]) => void

      Fit model

    • predict: (arg0: number[][]) => { category: any; score: number }[]

      Returns predicted values
  • threshold: number

    Threshold

  Returns SelfTraining

_model

_threshold

_x

_y

fit

• fit(): void

  Fit model.

  Returns void

init

• init(x: number[][], y: any[]): void

  Initialize model.

  Parameters

  • x: number[][]

    Training data
  • y: any[]

    Target values

  Returns void

predict

• predict(): any[]

  Returns predicted categories.

  Returns any[]

  Predicted values