Class: LeavePOut
Leave-P-Out cross-validator.
Provides train/test indices to split data in train/test sets. This results in testing on all distinct samples of size p, while the remaining n - p samples form the training set in each iteration.
Note: LeavePOut(p) is NOT equivalent to KFold(n_splits=n_samples // p) which creates non-overlapping test sets.
Due to the high number of iterations which grows combinatorically with the number of samples this cross-validation method can be very costly. For large datasets one should favor KFold, StratifiedKFold or ShuffleSplit.
Read more in the User Guide.
Constructors
new LeavePOut()
new LeavePOut(
opts?):LeavePOut
Parameters
| Parameter | Type | Description |
|---|---|---|
opts? | object | - |
opts.p? | number | Size of the test sets. Must be strictly less than the number of samples. |
Returns LeavePOut
Defined in generated/model_selection/LeavePOut.ts:29
Properties
| Property | Type | Default value | Defined in |
|---|---|---|---|
_isDisposed | boolean | false | generated/model_selection/LeavePOut.ts:27 |
_isInitialized | boolean | false | generated/model_selection/LeavePOut.ts:26 |
_py | PythonBridge | undefined | generated/model_selection/LeavePOut.ts:25 |
id | string | undefined | generated/model_selection/LeavePOut.ts:22 |
opts | any | undefined | generated/model_selection/LeavePOut.ts:23 |
Accessors
py
Get Signature
get py():
PythonBridge
Returns PythonBridge
Set Signature
set py(
pythonBridge):void
Parameters
| Parameter | Type |
|---|---|
pythonBridge | PythonBridge |
Returns void
Defined in generated/model_selection/LeavePOut.ts:39
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/model_selection/LeavePOut.ts:89
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/model_selection/LeavePOut.ts:108
get_n_splits()
get_n_splits(
opts):Promise<any>
Returns the number of splitting iterations in the cross-validator.
Parameters
| Parameter | Type | Description |
|---|---|---|
opts | object | - |
opts.groups? | any | Always ignored, exists for compatibility. |
opts.X? | ArrayLike[] | Training data, where n_samples is the number of samples and n_features is the number of features. |
opts.y? | any | Always ignored, exists for compatibility. |
Returns Promise<any>
Defined in generated/model_selection/LeavePOut.ts:142
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/model_selection/LeavePOut.ts:52
split()
split(
opts):Promise<ArrayLike>
Generate indices to split data into training and test set.
Parameters
| Parameter | Type | Description |
|---|---|---|
opts | object | - |
opts.groups? | any | Always ignored, exists for compatibility. |
opts.X? | ArrayLike[] | Training data, where n_samples is the number of samples and n_features is the number of features. |
opts.y? | ArrayLike | The target variable for supervised learning problems. |
Returns Promise<ArrayLike>
Defined in generated/model_selection/LeavePOut.ts:184