Class GTM

constructor

• new GTM(input_size: number, output_size: number, k?: number, q?: number): GTM

• Parameters

  • input_size: number

    Input size
  • output_size: number

    Output size
  • Optionalk: number

    Grid size
  • Optionalq: number

    Grid size for basis function

  Returns GTM

_b

_epoch

_fit_method

_init_method

_k

_lambda

_t

_w

_z

in_size

out_size

_make_grid

• _make_grid(n: any): number[][]

• Parameters

  • n: any

  Returns number[][]

_phi

• _phi(z: any, i?: any, s?: number): any

• Parameters

  • z: any
  • Optionali: any
  • Optionals: number

  Returns any

_prob

• _prob(x: any, z: any): number[]

• Parameters

  • x: any
  • z: any

  Returns number[]

fit

• fit(data: number[][]): void

• Fit model.

  Parameters

  • data: number[][]

    Training data

  Returns void

predict

• predict(x: number[][]): number[][]

• Returns predicted values.

  Parameters

  • x: number[][]

    Sample data

  Returns number[][]

  Predicted values

predictIndex

• predictIndex(x: number[][]): number[]

• Returns best indexes.

  Parameters

  • x: number[][]

    Sample data

  Returns number[]

  Predicted values

probability

• probability(x: number[][]): number[]

• Returns probabilities.

  Parameters

  • x: number[][]

    Sample data

  Returns number[]

  Predicted values

responsibility

• responsibility(x: number[][]): Matrix

• Returns responsibility.

  Parameters

  • x: number[][]

    Sample data

  Returns Matrix

  Responsibility