Obtaining the Hyperparameter Sensitivity Analysis Result
Function
This API is used to query the hyperparameter sensitivity analysis result of a specified hyperparameter search job.
This API is used when you need to know the impact of each hyperparameter on the model performance in a hyperparameter search job. Before using this API, ensure that the hyperparameter search job exists and you have the required permission. After the query is complete, the API returns the hyperparameter sensitivity analysis result. If the hyperparameter search job does not exist or you do not have the required permission, the API will return an error message.
Debugging
You can debug this API through automatic authentication in API Explorer or use the SDK sample code generated by API Explorer.
Authorization Information
Each account has all the permissions required to call all APIs, but IAM users must be assigned the required permissions.
- If you are using role/policy-based authorization, see Permissions Policies and Supported Actions for details on the required permissions.
- If you are using identity policy-based authorization, the following identity policy-based permissions are required.
URI
GET /v2/{project_id}/training-jobs/{training_job_id}/autosearch-parameter-analysis
| Parameter | Mandatory | Type | Description |
|---|---|---|---|
| project_id | Yes | String | Definition: Project ID. For details, see Obtaining a Project ID and Name. Constraints: N/A Range: The value can contain 1 to 64 characters. Only letters, digits, and hyphens (-) are allowed. Default Value: N/A |
| training_job_id | Yes | String | Definition: Training job ID. For details, see Obtaining Training Jobs. Constraints: N/A Range: N/A Default Value: N/A |
Request Parameters
None
Response Parameters
Status code: 200
| Parameter | Type | Description |
|---|---|---|
| header | Array of strings | Definition: Field information of a trial searched using hyperparameters. |
| data | Array<Array<String>> | Definition: Data list of a trial searched using hyperparameters. |
Example Requests
The following shows how to query the hyperparameter sensitivity analysis result of the job whose training_job_id is 04f679b17380d32a2f32c00335c4b5ba.
GET https://{endpoint}/v2/{project_id}/training-jobs/04f679b17380d32a2f32c00335c4b5ba/autosearch-parameter-analysis Example Responses
Status code: 200
ok
{
"header" : [ "parameters", "the mean/std of importance" ],
"data" : [ [ "batch_size", "0.2443/0.3867" ], [ "learning_rate", "0.6992/0.4040" ] ]
} Status Codes
| Status Code | Description |
|---|---|
| 200 | ok |
Error Codes
See Error Codes.
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