Class HMM

Hidden Markov model

Hierarchy

HMMBase
- HMM

Index

Constructors

Properties

_a _b _n _p _type _x_cand

Methods

_backward _bt _forward _gamma _update _xi bestPath fit probability

Constructors

constructor

new HMM(n: number): HMM
Parameters
- n: number
  Number of states
Returns HMM
Inherited from HMMBase.constructor
- Defined in lib/model/hmm.d.ts:72

Properties

_a

_a: Matrix<number>

_b

_b: any

_n

_n: number

_p

_p: Matrix<T>

_type

_type: string

_x_cand

_x_cand: any[]

Methods

_backward

_backward(x: any, c?: any, prob?: boolean): Matrix<number>[]
Parameters
- x: any
- Optionalc: any
- Optionalprob: boolean
Returns Matrix<number>[]
Inherited from HMMBase._backward
- Defined in lib/model/hmm.d.ts:78

_bt

_bt(x: any, t: any): Matrix<T>
Parameters
- x: any
- t: any
Returns Matrix<T>
Overrides HMMBase._bt
- Defined in lib/model/hmm.d.ts:8

_forward

_forward(x: any, scaled?: boolean): (Matrix<T> | Matrix<T>[])[]
Parameters
- x: any
- Optionalscaled: boolean
Returns (Matrix<T> | Matrix<T>[])[]
Inherited from HMMBase._forward
- Defined in lib/model/hmm.d.ts:77

_gamma

_gamma(alpha: any, beta: any): Matrix<number>[]
Parameters
- alpha: any
- beta: any
Returns Matrix<number>[]
Inherited from HMMBase._gamma
- Defined in lib/model/hmm.d.ts:79

_update

_update(gamma: any, xi: any): void
Parameters
- gamma: any
- xi: any
Returns void
Inherited from HMMBase._update
- Defined in lib/model/hmm.d.ts:81

_xi

_xi(x: any, alpha: any, beta: any, c: any): any[][]
Parameters
- x: any
- alpha: any
- beta: any
- c: any
Returns any[][]
Inherited from HMMBase._xi
- Defined in lib/model/hmm.d.ts:80

bestPath

bestPath(data: any[][]): number[][]
Returns best path of the datas.
Parameters
- data: any[][]
  Sample data
Returns number[][]
Predicted path
Overrides HMMBase.bestPath
- Defined in lib/model/hmm.d.ts:26

fit

fit(datas: any[][], scaled?: boolean): void
Fit model.
Parameters
- datas: any[][]
  Training data
- Optionalscaled: boolean
  Do scaled calculation or not
Returns void
- Defined in lib/model/hmm.d.ts:14

probability

probability(datas: any[][]): number[]
Returns probability of the datas.
Parameters
- datas: any[][]
  Sample data
Returns number[]
Predicted values
Overrides HMMBase.probability
- Defined in lib/model/hmm.d.ts:20