Class MixtureDiscriminant

Mixture discriminant analysis

Index

Constructors

Properties

_a _c _d _m _p _pi _r _s _sinv _x _y

Methods

_mstep fit init predict

Constructors

constructor

new MixtureDiscriminant(r: number): MixtureDiscriminant
Parameters
- r: number
  Number of components
Returns MixtureDiscriminant
- Defined in lib/model/mda.d.ts:8

Properties

_a

_a: any[] | undefined

_c

_c: any[] | undefined

_d

_d: number | undefined

_m

_m: any[] | undefined

_p

_p: Matrix<number> | undefined

_pi

_pi: Matrix<number> | undefined

_r

_r: number

_s

_s: Matrix<number> | undefined

_sinv

_sinv: Matrix<number> | undefined

_x

_x: number[][] | undefined

_y

_y: any[] | undefined

Methods

_mstep

_mstep(): void
Returns void
- Defined in lib/model/mda.d.ts:22

fit

fit(): void
Fit model.

Returns void
- Defined in lib/model/mda.d.ts:30

init

init(x: number[][], y: any[]): void
Initialize this model.
Parameters
- x: number[][]
  Training data
- y: any[]
  Target values
Returns void
- Defined in lib/model/mda.d.ts:15

predict

predict(data: number[][]): any[]
Returns predicted categories.
Parameters
- data: number[][]
  Sample data
Returns any[]
Predicted values
- Defined in lib/model/mda.d.ts:36