Class AROW

Adaptive regularization of Weight Vectors

Index

Constructors

Properties

_c _d _m _r _s _x _y

Methods

fit init predict update

Constructors

constructor

new AROW(r?: number): AROW
Parameters
- Optionalr: number
  Learning rate
Returns AROW
- Defined in lib/model/arow.d.ts:8

Properties

_c

_c: Matrix<number> | undefined

_d

_d: number | undefined

_m

_m: Matrix<number> | null

_r

_r: number

_s

_s: Matrix<number> | null

_x

_x: Matrix<number[]> | undefined

_y

_y: (-1 | 1)[] | undefined

Methods

fit

fit(): void
Fit model parameters.

Returns void
- Defined in lib/model/arow.d.ts:31

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
- Defined in lib/model/arow.d.ts:17

predict

predict(data: number[][]): (-1 | 1)[]
Returns predicted datas.
Parameters
- data: number[][]
  Sample data
Returns (-1 | 1)[]
Predicted values
- Defined in lib/model/arow.d.ts:37

update

update(x: Matrix, y: -1 | 1): void
Update model parameters with one data.
Parameters
- x: Matrix
  Training data
- y: -1 | 1
  Target value
Returns void
- Defined in lib/model/arow.d.ts:27