Class: RepeatedKFold
Repeated K-Fold cross validator.
Repeats K-Fold n times with different randomization in each repetition.
Read more in the User Guide.
Constructors
new RepeatedKFold()
new RepeatedKFold(
opts?):RepeatedKFold
Parameters
| Parameter | Type | Description |
|---|---|---|
opts? | object | - |
opts.n_repeats? | number | Number of times cross-validator needs to be repeated. |
opts.n_splits? | number | Number of folds. Must be at least 2. |
opts.random_state? | number | Controls the randomness of each repeated cross-validation instance. Pass an int for reproducible output across multiple function calls. See Glossary. |
Returns RepeatedKFold
Defined in generated/model_selection/RepeatedKFold.ts:25
Properties
| Property | Type | Default value | Defined in |
|---|---|---|---|
_isDisposed | boolean | false | generated/model_selection/RepeatedKFold.ts:23 |
_isInitialized | boolean | false | generated/model_selection/RepeatedKFold.ts:22 |
_py | PythonBridge | undefined | generated/model_selection/RepeatedKFold.ts:21 |
id | string | undefined | generated/model_selection/RepeatedKFold.ts:18 |
opts | any | undefined | generated/model_selection/RepeatedKFold.ts:19 |
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/RepeatedKFold.ts:49
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/RepeatedKFold.ts:101
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/RepeatedKFold.ts:120
get_n_splits()
get_n_splits(
opts):Promise<number>
Returns the number of splitting iterations in the cross-validator.
Parameters
| Parameter | Type | Description |
|---|---|---|
opts | object | - |
opts.groups? | ArrayLike | Group labels for the samples used while splitting the dataset into train/test set. |
opts.X? | any | Always ignored, exists for compatibility. np.zeros(n_samples) may be used as a placeholder. |
opts.y? | any | Always ignored, exists for compatibility. np.zeros(n_samples) may be used as a placeholder. |
Returns Promise<number>
Defined in generated/model_selection/RepeatedKFold.ts:154
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/RepeatedKFold.ts:62
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>