Exponentiation.md

Exponentiation

The Exponentiation kernel takes one base kernel and a scalar parameter \(p\) and combines them via

Python Reference

Constructors

constructor()

Signature

new Exponentiation(opts?: object): Exponentiation;

Parameters

Name	Type	Description
opts?	object	-
opts.exponent?	number	The exponent for the base kernel
opts.kernel?	any	The base kernel

Returns

Exponentiation

Defined in: generated/gaussian_process/kernels/Exponentiation.ts:21

Methods

__call__()

Return the kernel k(X, Y) and optionally its gradient.

Signature

__call__(opts: object): Promise<ArrayLike[]>;

Parameters

Name	Type	Description
opts	object	-
opts.X?	ArrayLike[]	Left argument of the returned kernel k(X, Y)
opts.Y?	ArrayLike[]	Right argument of the returned kernel k(X, Y). If undefined, k(X, X) is evaluated instead.
opts.eval_gradient?	boolean	Determines whether the gradient with respect to the log of the kernel hyperparameter is computed. Default Value false

Returns

Promise<ArrayLike[]>

Defined in: generated/gaussian_process/kernels/Exponentiation.ts:106

clone_with_theta()

Returns a clone of self with given hyperparameters theta.

Signature

clone_with_theta(opts: object): Promise<any>;

Parameters

Name	Type	Description
opts	object	-
opts.theta?	ArrayLike	The hyperparameters

Returns

Promise<any>

Defined in: generated/gaussian_process/kernels/Exponentiation.ts:155

diag()

Returns the diagonal of the kernel k(X, X).

The result of this method is identical to np.diag(self(X)); however, it can be evaluated more efficiently since only the diagonal is evaluated.

Signature

diag(opts: object): Promise<ArrayLike>;

Parameters

Name	Type	Description
opts	object	-
opts.X?	ArrayLike[]	Argument to the kernel.

Returns

Promise<ArrayLike>

Defined in: generated/gaussian_process/kernels/Exponentiation.ts:193

dispose()

Disposes of the underlying Python resources.

Once dispose() is called, the instance is no longer usable.

Signature

dispose(): Promise<void>;

Returns

Promise<void>

Defined in: generated/gaussian_process/kernels/Exponentiation.ts:89

init()

Initializes the underlying Python resources.

This instance is not usable until the Promise returned by init() resolves.

Signature

init(py: PythonBridge): Promise<void>;

Parameters

Name	Type
py	PythonBridge

Returns

Promise<void>

Defined in: generated/gaussian_process/kernels/Exponentiation.ts:49

is_stationary()

Returns whether the kernel is stationary.

Signature

is_stationary(opts: object): Promise<any>;

Parameters

Name	Type
opts	object

Returns

Promise<any>

Defined in: generated/gaussian_process/kernels/Exponentiation.ts:226

Properties

_isDisposed

boolean = false

Defined in: generated/gaussian_process/kernels/Exponentiation.ts:19

_isInitialized

boolean = false

Defined in: generated/gaussian_process/kernels/Exponentiation.ts:18

_py

PythonBridge

Defined in: generated/gaussian_process/kernels/Exponentiation.ts:17

id

string

Defined in: generated/gaussian_process/kernels/Exponentiation.ts:14

opts

any

Defined in: generated/gaussian_process/kernels/Exponentiation.ts:15

Accessors

py

Signature

py(): PythonBridge;

Returns

PythonBridge

Defined in: generated/gaussian_process/kernels/Exponentiation.ts:36

Signature

py(pythonBridge: PythonBridge): void;

Parameters

Name	Type
pythonBridge	PythonBridge

Returns

void

Defined in: generated/gaussian_process/kernels/Exponentiation.ts:40