Class CartesianGeneticProgramming

constructor

• new CartesianGeneticProgramming(
      rows: number,
      cols: number,
      funcs?: ("+" | "-" | "*" | "/" | ((arg0: number, arg1: number) => number))[],
      size?: number,
  ): CartesianGeneticProgramming

  Parameters

  • rows: number

    Number of nodes for each layer

  • cols: number

    Number of layers

  • Optionalfuncs: ("+" | "-" | "*" | "/" | ((arg0: number, arg1: number) => number))[]

    Functions to use

  • Optionalsize: number

    Number of populations per generation

  Returns CartesianGeneticProgramming

_cols

_funcs

_loss

_progs

_rows

_size

_variables

_x

_y

bestProgram

• get bestProgram(): Program

  Returns Program

  Best programs for each outputs

fit

• fit(): number

  Fit model.

  Returns number

  current best loss

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