Class RVM

Relevance vector machine

Index

Constructors

Properties

_alpha _beta _cov _mean _x

Methods

_kernel fit predict

Constructors

constructor

new RVM(): RVM
Returns RVM

Properties

_alpha

_alpha: number

_beta

_beta: number

_cov

_cov: Matrix<number>

_mean

_mean: Matrix<number>

_x

_x: Matrix<number[]>

Methods

_kernel

_kernel(x: any, y: any): number
Parameters
- x: any
- y: any
Returns number
- Defined in lib/model/rvm.d.ts:7

fit

fit(x: number[][], y: number[][]): void
Fit model.
Parameters
- x: number[][]
  Training data
- y: number[][]
  Target values
Returns void
- Defined in lib/model/rvm.d.ts:13

predict

predict(x: number[][]): number[]
Returns predicted values.
Parameters
- x: number[][]
  Sample data
Returns number[]
Predicted values
- Defined in lib/model/rvm.d.ts:22