SumKernel

Defined in: ds/src/ml/kernels/sum.js:11

Abstract base class for GP kernels

Extends

• Kernel

Constructors

Constructor

new SumKernel(opts?): SumKernel

Defined in: ds/src/ml/kernels/sum.js:16

Parameters

opts?

kernels

Kernel[]

Array of kernel instances to sum

Returns

SumKernel

Overrides

Kernel.constructor

Properties

kernels

kernels: Kernel[]

Defined in: ds/src/ml/kernels/sum.js:27

Methods

call()

call(X1, X2?): Matrix

Defined in: ds/src/ml/kernels/base.js:30

Compute covariance matrix between sets of points

Parameters

X1

any

First set of points (n1 x d)

X2?

any = null

Second set of points (n2 x d). If omitted, computes K(X1, X1)

Returns

Matrix

Covariance matrix (n1 x n2)

Inherited from

Kernel.call

---

clone()

clone(): Kernel

Defined in: ds/src/ml/kernels/base.js:76

Clone the kernel with the same parameters

Returns

Kernel

New kernel instance

Inherited from

Kernel.clone

---

compute()

compute(x1, x2): number

Defined in: ds/src/ml/kernels/sum.js:30

Compute covariance between two points

Parameters

x1

any

First point

x2

any

Second point

Returns

number

Covariance value

Overrides

Kernel.compute

---

getParams()

getParams(): object

Defined in: ds/src/ml/kernels/sum.js:34

Get kernel hyperparameters

Returns

object

Hyperparameters

kernels

kernels: object[]

Overrides

Kernel.getParams

---

setParams()

setParams(params): void

Defined in: ds/src/ml/kernels/sum.js:43

Set kernel hyperparameters

Parameters

params

New parameters

kernels

any

Returns

void

Overrides

Kernel.setParams