Class GaussianProcess

constructor

• new GaussianProcess(kernel?: "gaussian", beta?: number): GaussianProcess

• Parameters

  • Optionalkernel: "gaussian"

    Kernel name
  • Optionalbeta: number

    Precision parameter

  Returns GaussianProcess

_beta

_k

_kernel

_prec_t

_t

_x

fit

• fit(learning_rate?: number): void

• Fit model.

  Parameters

  • Optionallearning_rate: number

    Learning rate

  Returns void

init

• init(x: number[][], y: number[][]): void

• Initialize model.

  Parameters

  • x: number[][]

    Training data
  • y: number[][]

    Target values

  Returns void

predict

• predict(x: number[][]): number[][]

• Returns predicted values.

  Parameters

  • x: number[][]

    Sample data

  Returns number[][]

  Predicted values