Class FishersLinearDiscriminant

Fishers linear discriminant analysis

Index

Constructors

Properties

Methods

fit init predict

Constructors

constructor

new FishersLinearDiscriminant(): FishersLinearDiscriminant

Returns FishersLinearDiscriminant

Properties

_m

_m: Matrix<number> | null

_w

_w: Matrix<number> | null

_x

_x: number[][] | null

_y

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

Methods

fit

fit(): void
Fit model parameters.

Returns void
- Defined in lib/model/lda.d.ts:44

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/lda.d.ts:40

predict

predict(data: number[][]): (-1 | 1)[]
Returns predicted datas.
Parameters
- data: number[][]
  Sample data
Returns (-1 | 1)[]
Predicted values
- Defined in lib/model/lda.d.ts:50