Class: LeaveOneGroupOut
Leave One Group Out cross-validator.
Provides train/test indices to split data such that each training set is comprised of all samples except ones belonging to one specific group. Arbitrary domain specific group information is provided as an array of integers that encodes the group of each sample.
For instance the groups could be the year of collection of the samples and thus allow for cross-validation against time-based splits.
Read more in the User Guide.
Constructors
new LeaveOneGroupOut()
new LeaveOneGroupOut(
opts
?):LeaveOneGroupOut
Parameters
Parameter | Type | Description |
---|---|---|
opts ? | object | - |
opts.routing ? | any | A MetadataRequest encapsulating routing information. |
Returns LeaveOneGroupOut
Defined in generated/model_selection/LeaveOneGroupOut.ts:27
Properties
Property | Type | Default value | Defined in |
---|---|---|---|
_isDisposed | boolean | false | generated/model_selection/LeaveOneGroupOut.ts:25 |
_isInitialized | boolean | false | generated/model_selection/LeaveOneGroupOut.ts:24 |
_py | PythonBridge | undefined | generated/model_selection/LeaveOneGroupOut.ts:23 |
id | string | undefined | generated/model_selection/LeaveOneGroupOut.ts:20 |
opts | any | undefined | generated/model_selection/LeaveOneGroupOut.ts:21 |
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/LeaveOneGroupOut.ts:37
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/LeaveOneGroupOut.ts:91
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/LeaveOneGroupOut.ts:110
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. This ‘groups’ parameter must always be specified to calculate the number of splits, though the other parameters can be omitted. |
opts.X ? | any | Always ignored, exists for compatibility. |
opts.y ? | any | Always ignored, exists for compatibility. |
Returns Promise
<number
>
Defined in generated/model_selection/LeaveOneGroupOut.ts:146
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/LeaveOneGroupOut.ts:50
set_split_request()
set_split_request(
opts
):Promise
<any
>
Request metadata passed to the split
method.
Note that this method is only relevant if enable_metadata_routing=True
(see sklearn.set_config
). Please see User Guide on how the routing mechanism works.
The options for each parameter are:
Parameters
Parameter | Type | Description |
---|---|---|
opts | object | - |
opts.groups ? | string | boolean | Metadata routing for groups parameter in split . |
Returns Promise
<any
>
Defined in generated/model_selection/LeaveOneGroupOut.ts:194
split()
split(
opts
):Promise
<ArrayLike
>
Generate indices to split data into training and test set.
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 ? | 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/LeaveOneGroupOut.ts:230