Documentation
Classes
KernelCenterer

KernelCenterer

Center an arbitrary kernel matrix \(K\).

Let define a kernel \(K\) such that:

Python Reference (opens in a new tab)

Constructors

constructor()

Signature

new KernelCenterer(opts?: object): KernelCenterer;

Parameters

NameTypeDescription
opts?object-
opts.K_fit_all_?numberAverage of kernel matrix.
opts.K_fit_rows_?ArrayLikeAverage of each column of kernel matrix.
opts.feature_names_in_?ArrayLikeNames of features seen during fit. Defined only when X has feature names that are all strings.
opts.n_features_in_?numberNumber of features seen during fit.

Returns

KernelCenterer

Defined in: generated/preprocessing/KernelCenterer.ts:23 (opens in a new tab)

Properties

_isDisposed

boolean = false

Defined in: generated/preprocessing/KernelCenterer.ts:21 (opens in a new tab)

_isInitialized

boolean = false

Defined in: generated/preprocessing/KernelCenterer.ts:20 (opens in a new tab)

_py

PythonBridge

Defined in: generated/preprocessing/KernelCenterer.ts:19 (opens in a new tab)

id

string

Defined in: generated/preprocessing/KernelCenterer.ts:16 (opens in a new tab)

opts

any

Defined in: generated/preprocessing/KernelCenterer.ts:17 (opens in a new tab)

Accessors

py

Signature

py(): PythonBridge;

Returns

PythonBridge

Defined in: generated/preprocessing/KernelCenterer.ts:48 (opens in a new tab)

Signature

py(pythonBridge: PythonBridge): void;

Parameters

NameType
pythonBridgePythonBridge

Returns

void

Defined in: generated/preprocessing/KernelCenterer.ts:52 (opens in a new tab)

Methods

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/preprocessing/KernelCenterer.ts:107 (opens in a new tab)

fit()

Fit KernelCenterer.

Signature

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

Parameters

NameTypeDescription
optsobject-
opts.K?ArrayLike[]Kernel matrix.
opts.y?anyIgnored.

Returns

Promise<any>

Defined in: generated/preprocessing/KernelCenterer.ts:124 (opens in a new tab)

fit_transform()

Fit to data, then transform it.

Fits transformer to X and y with optional parameters fit\_params and returns a transformed version of X.

Signature

fit_transform(opts: object): Promise<any[]>;

Parameters

NameTypeDescription
optsobject-
opts.X?ArrayLike[]Input samples.
opts.fit_params?anyAdditional fit parameters.
opts.y?ArrayLikeTarget values (undefined for unsupervised transformations).

Returns

Promise<any[]>

Defined in: generated/preprocessing/KernelCenterer.ts:164 (opens in a new tab)

get_feature_names_out()

Get output feature names for transformation.

The feature names out will prefixed by the lowercased class name. For example, if the transformer outputs 3 features, then the feature names out are: \["class\_name0", "class\_name1", "class\_name2"\].

Signature

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

Parameters

NameTypeDescription
optsobject-
opts.input_features?anyOnly used to validate feature names with the names seen in fit.

Returns

Promise<any>

Defined in: generated/preprocessing/KernelCenterer.ts:213 (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

NameType
pyPythonBridge

Returns

Promise<void>

Defined in: generated/preprocessing/KernelCenterer.ts:61 (opens in a new tab)

set_output()

Set output container.

See Introducing the set_output API for an example on how to use the API.

Signature

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

Parameters

NameTypeDescription
optsobject-
opts.transform?"default" | "pandas"Configure output of transform and fit\_transform.

Returns

Promise<any>

Defined in: generated/preprocessing/KernelCenterer.ts:251 (opens in a new tab)

transform()

Center kernel matrix.

Signature

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

Parameters

NameTypeDescription
optsobject-
opts.K?ArrayLike[]Kernel matrix.
opts.copy?booleanSet to false to perform inplace computation. Default Value true

Returns

Promise<ArrayLike[]>

Defined in: generated/preprocessing/KernelCenterer.ts:284 (opens in a new tab)