GenericUnivariateSelect
Univariate feature selector with configurable strategy.
Read more in the User Guide.
Python Reference (opens in a new tab)
Constructors
constructor()
Signature
new GenericUnivariateSelect(opts?: object): GenericUnivariateSelect;Parameters
| Name | Type | Description |
|---|---|---|
opts? | object | - |
opts.mode? | "percentile" | "k_best" | "fpr" | "fdr" | "fwe" | Feature selection mode. Default Value 'percentile' |
opts.param? | number | "all" | Parameter of the corresponding mode. Default Value 0.00001 |
opts.score_func? | any | Function taking two arrays X and y, and returning a pair of arrays (scores, pvalues). For modes ‘percentile’ or ‘kbest’ it can return a single array scores. |
Returns
Defined in: generated/feature_selection/GenericUnivariateSelect.ts:23 (opens in a new tab)
Properties
_isDisposed
boolean=false
Defined in: generated/feature_selection/GenericUnivariateSelect.ts:21 (opens in a new tab)
_isInitialized
boolean=false
Defined in: generated/feature_selection/GenericUnivariateSelect.ts:20 (opens in a new tab)
_py
PythonBridge
Defined in: generated/feature_selection/GenericUnivariateSelect.ts:19 (opens in a new tab)
id
string
Defined in: generated/feature_selection/GenericUnivariateSelect.ts:16 (opens in a new tab)
opts
any
Defined in: generated/feature_selection/GenericUnivariateSelect.ts:17 (opens in a new tab)
Accessors
feature_names_in_
Names of features seen during fit. Defined only when X has feature names that are all strings.
Signature
feature_names_in_(): Promise<ArrayLike>;Returns
Promise<ArrayLike>
Defined in: generated/feature_selection/GenericUnivariateSelect.ts:491 (opens in a new tab)
n_features_in_
Number of features seen during fit.
Signature
n_features_in_(): Promise<number>;Returns
Promise<number>
Defined in: generated/feature_selection/GenericUnivariateSelect.ts:464 (opens in a new tab)
pvalues_
p-values of feature scores, undefined if score\_func returned scores only.
Signature
pvalues_(): Promise<ArrayLike>;Returns
Promise<ArrayLike>
Defined in: generated/feature_selection/GenericUnivariateSelect.ts:437 (opens in a new tab)
py
Signature
py(): PythonBridge;Returns
PythonBridge
Defined in: generated/feature_selection/GenericUnivariateSelect.ts:47 (opens in a new tab)
Signature
py(pythonBridge: PythonBridge): void;Parameters
| Name | Type |
|---|---|
pythonBridge | PythonBridge |
Returns
void
Defined in: generated/feature_selection/GenericUnivariateSelect.ts:51 (opens in a new tab)
scores_
Scores of features.
Signature
scores_(): Promise<ArrayLike>;Returns
Promise<ArrayLike>
Defined in: generated/feature_selection/GenericUnivariateSelect.ts:410 (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/feature_selection/GenericUnivariateSelect.ts:106 (opens in a new tab)
fit()
Run score function on (X, y) and get the appropriate features.
Signature
fit(opts: object): Promise<any>;Parameters
| Name | Type | Description |
|---|---|---|
opts | object | - |
opts.X? | ArrayLike[] | The training input samples. |
opts.y? | ArrayLike | The target values (class labels in classification, real numbers in regression). |
Returns
Promise<any>
Defined in: generated/feature_selection/GenericUnivariateSelect.ts:123 (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
| Name | Type | Description |
|---|---|---|
opts | object | - |
opts.X? | ArrayLike[] | Input samples. |
opts.fit_params? | any | Additional fit parameters. |
opts.y? | ArrayLike | Target values (undefined for unsupervised transformations). |
Returns
Promise<any[]>
Defined in: generated/feature_selection/GenericUnivariateSelect.ts:167 (opens in a new tab)
get_feature_names_out()
Mask feature names according to selected features.
Signature
get_feature_names_out(opts: object): Promise<any>;Parameters
| Name | Type | Description |
|---|---|---|
opts | object | - |
opts.input_features? | any | Input features. |
Returns
Promise<any>
Defined in: generated/feature_selection/GenericUnivariateSelect.ts:219 (opens in a new tab)
get_support()
Get a mask, or integer index, of the features selected.
Signature
get_support(opts: object): Promise<any>;Parameters
| Name | Type | Description |
|---|---|---|
opts | object | - |
opts.indices? | boolean | If true, the return value will be an array of integers, rather than a boolean mask. Default Value false |
Returns
Promise<any>
Defined in: generated/feature_selection/GenericUnivariateSelect.ts:257 (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/feature_selection/GenericUnivariateSelect.ts:60 (opens in a new tab)
inverse_transform()
Reverse the transformation operation.
Signature
inverse_transform(opts: object): Promise<any>;Parameters
| Name | Type | Description |
|---|---|---|
opts | object | - |
opts.X? | any | The input samples. |
Returns
Promise<any>
Defined in: generated/feature_selection/GenericUnivariateSelect.ts:296 (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
| Name | Type | Description |
|---|---|---|
opts | object | - |
opts.transform? | "default" | "pandas" | Configure output of transform and fit\_transform. |
Returns
Promise<any>
Defined in: generated/feature_selection/GenericUnivariateSelect.ts:336 (opens in a new tab)
transform()
Reduce X to the selected features.
Signature
transform(opts: object): Promise<any>;Parameters
| Name | Type | Description |
|---|---|---|
opts | object | - |
opts.X? | any | The input samples. |
Returns
Promise<any>
Defined in: generated/feature_selection/GenericUnivariateSelect.ts:373 (opens in a new tab)