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

    Metropolis-Hastings algorithm

    Index

    Constructors

    Properties

    Methods

    Constructors

    • Parameters

      • targetFunc: (arg0: number[]) => number

        Target distribution

      • d: number

        Output size

      • Optionalq: "gaussian"

        Proposal density name

      Returns MetropolisHastings

    Properties

    _d: number
    _f: (arg0: number[]) => number
    _q: (x: any, y: any) => number

    Methods

    • Returns sampled values.

      Parameters

      • n: number

        Number of generated data

      • Optionalt: number

        Iteration count for each generation

      Returns number[][]

      Generated values