Class: SelectKBest

Select features according to the k highest scores.

Read more in the User Guide.

Python Reference

Constructors

new SelectKBest()

new SelectKBest(opts?): SelectKBest

Parameters

ParameterTypeDescription
opts?object-
opts.k?number | "all"Number of top features to select. The “all” option bypasses selection, for use in a parameter search.
opts.score_func?anyFunction taking two arrays X and y, and returning a pair of arrays (scores, pvalues) or a single array with scores. Default is f_classif (see below “See Also”). The default function only works with classification tasks.

Returns SelectKBest

Defined in generated/feature_selection/SelectKBest.ts:23

Properties

PropertyTypeDefault valueDefined in
_isDisposedbooleanfalsegenerated/feature_selection/SelectKBest.ts:21
_isInitializedbooleanfalsegenerated/feature_selection/SelectKBest.ts:20
_pyPythonBridgeundefinedgenerated/feature_selection/SelectKBest.ts:19
idstringundefinedgenerated/feature_selection/SelectKBest.ts:16
optsanyundefinedgenerated/feature_selection/SelectKBest.ts:17

Accessors

feature_names_in_

Get Signature

get feature_names_in_(): Promise<ArrayLike>

Names of features seen during fit. Defined only when X has feature names that are all strings.

Returns Promise<ArrayLike>

Defined in generated/feature_selection/SelectKBest.ts:463


n_features_in_

Get Signature

get n_features_in_(): Promise<number>

Number of features seen during fit.

Returns Promise<number>

Defined in generated/feature_selection/SelectKBest.ts:438


pvalues_

Get Signature

get pvalues_(): Promise<ArrayLike>

p-values of feature scores, undefined if score_func returned only scores.

Returns Promise<ArrayLike>

Defined in generated/feature_selection/SelectKBest.ts:415


py

Get Signature

get py(): PythonBridge

Returns PythonBridge

Set Signature

set py(pythonBridge): void

Parameters

ParameterType
pythonBridgePythonBridge

Returns void

Defined in generated/feature_selection/SelectKBest.ts:40


scores_

Get Signature

get scores_(): Promise<ArrayLike>

Scores of features.

Returns Promise<ArrayLike>

Defined in generated/feature_selection/SelectKBest.ts:392

Methods

dispose()

dispose(): Promise<void>

Disposes of the underlying Python resources.

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

Returns Promise<void>

Defined in generated/feature_selection/SelectKBest.ts:92


fit()

fit(opts): Promise<any>

Run score function on (X, y) and get the appropriate features.

Parameters

ParameterTypeDescription
optsobject-
opts.X?ArrayLike[]The training input samples.
opts.y?ArrayLikeThe target values (class labels in classification, real numbers in regression). If the selector is unsupervised then y can be set to undefined.

Returns Promise<any>

Defined in generated/feature_selection/SelectKBest.ts:109


fit_transform()

fit_transform(opts): Promise<any[]>

Fit to data, then transform it.

Fits transformer to X and y with optional parameters fit_params and returns a transformed version of X.

Parameters

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

Returns Promise<any[]>

Defined in generated/feature_selection/SelectKBest.ts:148


get_feature_names_out()

get_feature_names_out(opts): Promise<any>

Mask feature names according to selected features.

Parameters

ParameterTypeDescription
optsobject-
opts.input_features?anyInput features.

Returns Promise<any>

Defined in generated/feature_selection/SelectKBest.ts:190


get_metadata_routing()

get_metadata_routing(opts): Promise<any>

Get metadata routing of this object.

Please check User Guide on how the routing mechanism works.

Parameters

ParameterTypeDescription
optsobject-
opts.routing?anyA MetadataRequest encapsulating routing information.

Returns Promise<any>

Defined in generated/feature_selection/SelectKBest.ts:226


get_support()

get_support(opts): Promise<any>

Get a mask, or integer index, of the features selected.

Parameters

ParameterTypeDescription
optsobject-
opts.indices?booleanIf true, the return value will be an array of integers, rather than a boolean mask.

Returns Promise<any>

Defined in generated/feature_selection/SelectKBest.ts:260


init()

init(py): Promise<void>

Initializes the underlying Python resources.

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

Parameters

ParameterType
pyPythonBridge

Returns Promise<void>

Defined in generated/feature_selection/SelectKBest.ts:53


inverse_transform()

inverse_transform(opts): Promise<any>

Reverse the transformation operation.

Parameters

ParameterTypeDescription
optsobject-
opts.X?anyThe input samples.

Returns Promise<any>

Defined in generated/feature_selection/SelectKBest.ts:294


set_output()

set_output(opts): Promise<any>

Set output container.

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

Parameters

ParameterTypeDescription
optsobject-
opts.transform?"default" | "pandas" | "polars"Configure output of transform and fit_transform.

Returns Promise<any>

Defined in generated/feature_selection/SelectKBest.ts:328


transform()

transform(opts): Promise<any>

Reduce X to the selected features.

Parameters

ParameterTypeDescription
optsobject-
opts.X?anyThe input samples.

Returns Promise<any>

Defined in generated/feature_selection/SelectKBest.ts:360