Class: SelectFpr
Filter: Select the pvalues below alpha based on a FPR test.
FPR test stands for false Positive Rate test. It controls the total amount of false detections.
Read more in the User Guide.
Constructors
new SelectFpr()
new SelectFpr(
opts?):SelectFpr
Parameters
| Parameter | Type | Description |
|---|---|---|
opts? | object | - |
opts.alpha? | number | Features with p-values less than alpha are selected. |
opts.score_func? | any | Function taking two arrays X and y, and returning a pair of arrays (scores, pvalues). Default is f_classif (see below “See Also”). The default function only works with classification tasks. |
Returns SelectFpr
Defined in generated/feature_selection/SelectFpr.ts:25
Properties
| Property | Type | Default value | Defined in |
|---|---|---|---|
_isDisposed | boolean | false | generated/feature_selection/SelectFpr.ts:23 |
_isInitialized | boolean | false | generated/feature_selection/SelectFpr.ts:22 |
_py | PythonBridge | undefined | generated/feature_selection/SelectFpr.ts:21 |
id | string | undefined | generated/feature_selection/SelectFpr.ts:18 |
opts | any | undefined | generated/feature_selection/SelectFpr.ts:19 |
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/SelectFpr.ts:464
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/SelectFpr.ts:439
pvalues_
Get Signature
get pvalues_():
Promise<ArrayLike>
p-values of feature scores.
Returns Promise<ArrayLike>
Defined in generated/feature_selection/SelectFpr.ts:416
py
Get Signature
get py():
PythonBridge
Returns PythonBridge
Set Signature
set py(
pythonBridge):void
Parameters
| Parameter | Type |
|---|---|
pythonBridge | PythonBridge |
Returns void
Defined in generated/feature_selection/SelectFpr.ts:42
scores_
Get Signature
get scores_():
Promise<ArrayLike>
Scores of features.
Returns Promise<ArrayLike>
Defined in generated/feature_selection/SelectFpr.ts:393
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/SelectFpr.ts:93
fit()
fit(
opts):Promise<any>
Run score function on (X, y) and get the appropriate features.
Parameters
| Parameter | 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). If the selector is unsupervised then y can be set to undefined. |
Returns Promise<any>
Defined in generated/feature_selection/SelectFpr.ts:110
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
| Parameter | Type | Description |
|---|---|---|
opts | object | - |
opts.fit_params? | any | Additional fit parameters. |
opts.X? | ArrayLike[] | Input samples. |
opts.y? | ArrayLike | Target values (undefined for unsupervised transformations). |
Returns Promise<any[]>
Defined in generated/feature_selection/SelectFpr.ts:149
get_feature_names_out()
get_feature_names_out(
opts):Promise<any>
Mask feature names according to selected features.
Parameters
| Parameter | Type | Description |
|---|---|---|
opts | object | - |
opts.input_features? | any | Input features. |
Returns Promise<any>
Defined in generated/feature_selection/SelectFpr.ts:191
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
| Parameter | Type | Description |
|---|---|---|
opts | object | - |
opts.routing? | any | A MetadataRequest encapsulating routing information. |
Returns Promise<any>
Defined in generated/feature_selection/SelectFpr.ts:227
get_support()
get_support(
opts):Promise<any>
Get a mask, or integer index, of the features selected.
Parameters
| Parameter | Type | Description |
|---|---|---|
opts | object | - |
opts.indices? | boolean | If true, the return value will be an array of integers, rather than a boolean mask. |
Returns Promise<any>
Defined in generated/feature_selection/SelectFpr.ts:261
init()
init(
py):Promise<void>
Initializes the underlying Python resources.
This instance is not usable until the Promise returned by init() resolves.
Parameters
| Parameter | Type |
|---|---|
py | PythonBridge |
Returns Promise<void>
Defined in generated/feature_selection/SelectFpr.ts:55
inverse_transform()
inverse_transform(
opts):Promise<any>
Reverse the transformation operation.
Parameters
| Parameter | Type | Description |
|---|---|---|
opts | object | - |
opts.X? | any | The input samples. |
Returns Promise<any>
Defined in generated/feature_selection/SelectFpr.ts:295
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
| Parameter | Type | Description |
|---|---|---|
opts | object | - |
opts.transform? | "default" | "pandas" | "polars" | Configure output of transform and fit_transform. |
Returns Promise<any>
Defined in generated/feature_selection/SelectFpr.ts:329
transform()
transform(
opts):Promise<any>
Reduce X to the selected features.
Parameters
| Parameter | Type | Description |
|---|---|---|
opts | object | - |
opts.X? | any | The input samples. |
Returns Promise<any>
Defined in generated/feature_selection/SelectFpr.ts:361