Class VBGMM

constructor

• new VBGMM(a: number, b: number, k: number): VBGMM

• Parameters

  • a: number

    Tuning parameter
  • b: number

    Tuning parameter
  • k: number

    Initial number of clusters

  Returns VBGMM

_a0

_b0

_k

_m

_m0

_nu

_nu0

_p

_r

_w

_w0

_x

covs

• get covs(): Matrix[]

• Covariances

  Returns Matrix[]

effectivity

• get effectivity(): boolean[]

• Effectivity

  Returns boolean[]

means

• get means(): Matrix

• Means

  Returns Matrix

_bernoulli

• _bernoulli(n: any): number

• Parameters

  • n: any

  Returns number

_digamma

• _digamma(z: any): any

• Parameters

  • z: any

  Returns any

fit

• fit(): void

• Fit model.

  Returns void

init

• init(datas: number[][]): void

• Initialize model.

  Parameters

  • datas: number[][]

    Training data

  Returns void

predict

• predict(data: number[][]): number[]

• Returns predicted categories.

  Parameters

  • data: number[][]

    Sample data

  Returns number[]

  Predicted values

probability

• probability(data: number[][]): Matrix

• Returns probability of the datas.

  Parameters

  • data: number[][]

    Sample data

  Returns Matrix

  Predicted values