PredefinedSplit
Predefined split cross-validator
Provides train/test indices to split data into train/test sets using a predefined scheme specified by the user with the test\_fold
parameter.
Read more in the User Guide.
Python Reference (opens in a new tab)
Constructors
constructor()
Signature
new PredefinedSplit(opts?: object): PredefinedSplit;
Parameters
Name | Type | Description |
---|---|---|
opts? | object | - |
opts.test_fold? | ArrayLike | The entry test\_fold\[i\] represents the index of the test set that sample i belongs to. It is possible to exclude sample i from any test set (i.e. include sample i in every training set) by setting test\_fold\[i\] equal to -1. |
Returns
Defined in: generated/model_selection/PredefinedSplit.ts:25 (opens in a new tab)
Properties
_isDisposed
boolean
=false
Defined in: generated/model_selection/PredefinedSplit.ts:23 (opens in a new tab)
_isInitialized
boolean
=false
Defined in: generated/model_selection/PredefinedSplit.ts:22 (opens in a new tab)
_py
PythonBridge
Defined in: generated/model_selection/PredefinedSplit.ts:21 (opens in a new tab)
id
string
Defined in: generated/model_selection/PredefinedSplit.ts:18 (opens in a new tab)
opts
any
Defined in: generated/model_selection/PredefinedSplit.ts:19 (opens in a new tab)
Accessors
py
Signature
py(): PythonBridge;
Returns
PythonBridge
Defined in: generated/model_selection/PredefinedSplit.ts:35 (opens in a new tab)
Signature
py(pythonBridge: PythonBridge): void;
Parameters
Name | Type |
---|---|
pythonBridge | PythonBridge |
Returns
void
Defined in: generated/model_selection/PredefinedSplit.ts:39 (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/model_selection/PredefinedSplit.ts:88 (opens in a new tab)
get_n_splits()
Returns the number of splitting iterations in the cross-validator
Signature
get_n_splits(opts: object): Promise<number>;
Parameters
Name | Type | Description |
---|---|---|
opts | object | - |
opts.X? | any | Always ignored, exists for compatibility. |
opts.groups? | any | Always ignored, exists for compatibility. |
opts.y? | any | Always ignored, exists for compatibility. |
Returns
Promise
<number
>
Defined in: generated/model_selection/PredefinedSplit.ts:105 (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/model_selection/PredefinedSplit.ts:48 (opens in a new tab)
split()
Generate indices to split data into training and test set.
Signature
split(opts: object): Promise<ArrayLike>;
Parameters
Name | Type | Description |
---|---|---|
opts | object | - |
opts.X? | any | Always ignored, exists for compatibility. |
opts.groups? | any | Always ignored, exists for compatibility. |
opts.y? | any | Always ignored, exists for compatibility. |
Returns
Promise
<ArrayLike
>
Defined in: generated/model_selection/PredefinedSplit.ts:148 (opens in a new tab)