Class MultinomialProbit

Multinomial probit

Hierarchy (View Summary)

Probit
- MultinomialProbit

Index

Constructors

Properties

_classes _d _w _x _y

Methods

_cdf _llh fit init predict

Constructors

constructor

new MultinomialProbit(): MultinomialProbit
Returns MultinomialProbit
Inherited from Probit.constructor

Properties

_classes

_classes: any[]

_d

_d: number

_w

_w: any

_x

_x: Matrix<number[]>

_y

_y: (-1 | 1)[]

Methods

_cdf

_cdf(z: any): number
Parameters
- z: any
Returns number
Inherited from Probit._cdf
- Defined in lib/model/probit.d.ts:15

_llh

_llh(w: any): number
Parameters
- w: any
Returns number
Inherited from Probit._llh
- Defined in lib/model/probit.d.ts:16

fit

fit(x: number[][], y: any[]): void
Fit model.
Parameters
- x: number[][]
  Training data
- y: any[]
  Target values
Returns void
Overrides Probit.fit
- Defined in lib/model/probit.d.ts:38

init

init(train_x: number[][], train_y: (-1 | 1)[]): void
Initialize this model.
Parameters
- train_x: number[][]
  Training data
- train_y: (-1 | 1)[]
  Target values
Returns void
Inherited from Probit.init
- Defined in lib/model/probit.d.ts:11

predict

predict(data: number[][]): any[]
Returns predicted categories.
Parameters
- data: number[][]
  Sample data
Returns any[]
Predicted values
Overrides Probit.predict
- Defined in lib/model/probit.d.ts:44