Class GMM

Gaussian mixture model

Hierarchy (View Summary)

GMM
- GMR
- SemiSupervisedGMM

Index

Constructors

Properties

Methods

_gaussian _init add clear fit predict probability

Constructors

constructor

new GMM(): GMM
Returns GMM

Properties

_d

_d: any

_k

_k: number

_m

_m: any[]

_p

_p: any[]

_s

_s: any[]

Methods

_gaussian

_gaussian(x: any, m: any, s: any): number
Parameters
- x: any
- m: any
- s: any
Returns number
- Defined in lib/model/gmm.d.ts:31

_init

_init(datas: any): void
Parameters
- datas: any
Returns void
- Defined in lib/model/gmm.d.ts:10

add

add(): void
Add a new cluster.

Returns void
- Defined in lib/model/gmm.d.ts:14

clear

clear(): void
Clear all clusters.

Returns void
- Defined in lib/model/gmm.d.ts:18

fit

fit(datas: number[][]): void
Fit model.
Parameters
- datas: number[][]
  Training data
Returns void
- Defined in lib/model/gmm.d.ts:36

predict

predict(data: number[][]): number[]
Returns predicted categories.
Parameters
- data: number[][]
  Sample data
Returns number[]
Predicted values
- Defined in lib/model/gmm.d.ts:30

probability

probability(data: number[][]): number[][]
Returns probabilities.
Parameters
- data: number[][]
  Sample data
Returns number[][]
Predicted values
- Defined in lib/model/gmm.d.ts:24