@ai-on-browser/data-analysis-models
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    Class CoTraining

    Co-training

    Index

    Constructors

    Properties

    Methods

    Constructors

    • Parameters

      • view1: {
            fit: (arg0: number[][], arg1: any[]) => void;
            predict: (arg0: number[][]) => { category: any; score: number }[];
            threshold: number;
        }

        View

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

          Fit model

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

          Returns predicted values

        • threshold: number

          Threshold

      • view2: {
            fit: (arg0: number[][], arg1: any[]) => void;
            predict: (arg0: number[][]) => { category: any; score: number }[];
            threshold: number;
        }

        View

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

          Fir model

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

          Returns predicted values

        • threshold: number

          Threshold

      Returns CoTraining

    Properties

    _view1: {
        fit: (arg0: number[][], arg1: any[]) => void;
        predict: (arg0: number[][]) => { category: any; score: number }[];
        threshold: number;
    }
    _view2: {
        fit: (arg0: number[][], arg1: any[]) => void;
        predict: (arg0: number[][]) => { category: any; score: number }[];
        threshold: number;
    }
    _x: number[][]
    _y: any[]

    Methods

    • Fit model.

      Returns void

    • Initialize model.

      Parameters

      • x: number[][]

        Training data

      • y: any[]

        Target values

      Returns void

    • Returns predicted categories.

      Returns any[]

      Predicted values