ConstantKernel
Constant kernel.
Can be used as part of a product-kernel where it scales the magnitude of the other factor (kernel) or as part of a sum-kernel, where it modifies the mean of the Gaussian process.
Python Reference (opens in a new tab)
Constructors
constructor()
Signature
new ConstantKernel(opts?: object): ConstantKernel;
Parameters
Name | Type | Description |
---|---|---|
opts? | object | - |
opts.constant_value? | number | The constant value which defines the covariance: k(x_1, x_2) = constant_value Default Value 1 |
opts.constant_value_bounds? | "fixed" | The lower and upper bound on constant\_value . If set to “fixed”, constant\_value cannot be changed during hyperparameter tuning. |
Returns
Defined in: generated/gaussian_process/kernels/ConstantKernel.ts:23 (opens in a new tab)
Properties
_isDisposed
boolean
=false
Defined in: generated/gaussian_process/kernels/ConstantKernel.ts:21 (opens in a new tab)
_isInitialized
boolean
=false
Defined in: generated/gaussian_process/kernels/ConstantKernel.ts:20 (opens in a new tab)
_py
PythonBridge
Defined in: generated/gaussian_process/kernels/ConstantKernel.ts:19 (opens in a new tab)
id
string
Defined in: generated/gaussian_process/kernels/ConstantKernel.ts:16 (opens in a new tab)
opts
any
Defined in: generated/gaussian_process/kernels/ConstantKernel.ts:17 (opens in a new tab)
Accessors
hyperparameter_constant_value
Signature
hyperparameter_constant_value(): Promise<any>;
Returns
Promise
<any
>
Defined in: generated/gaussian_process/kernels/ConstantKernel.ts:255 (opens in a new tab)
py
Signature
py(): PythonBridge;
Returns
PythonBridge
Defined in: generated/gaussian_process/kernels/ConstantKernel.ts:40 (opens in a new tab)
Signature
py(pythonBridge: PythonBridge): void;
Parameters
Name | Type |
---|---|
pythonBridge | PythonBridge |
Returns
void
Defined in: generated/gaussian_process/kernels/ConstantKernel.ts:44 (opens in a new tab)
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. Only supported when Y is undefined . Default Value false |
Returns
Promise
<ArrayLike
[]>
Defined in: generated/gaussian_process/kernels/ConstantKernel.ts:112 (opens in a new tab)
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/ConstantKernel.ts:161 (opens in a new tab)
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/ConstantKernel.ts:199 (opens in a new tab)
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/ConstantKernel.ts:95 (opens in a new tab)
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/ConstantKernel.ts:53 (opens in a new tab)
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/ConstantKernel.ts:232 (opens in a new tab)