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Reviewed-by: Pruthi, Vineet <vineet.pruthi@t-systems.com> Co-authored-by: Wuwan, Qi <wuwanqi1@noreply.gitea.eco.tsi-dev.otc-service.com> Co-committed-by: Wuwan, Qi <wuwanqi1@noreply.gitea.eco.tsi-dev.otc-service.com>
5.4 KiB
5.4 KiB
Obtaining the Hyperparameter Sensitivity Analysis Result
Function
This API is used to obtain the summary of hyperparameter sensitivity analysis results.
URI
GET /v2/{project_id}/training-jobs/{training_job_id}/autosearch-parameter-analysis
Parameter |
Mandatory |
Type |
Description |
---|---|---|---|
project_id |
Yes |
String |
Project ID. For details, see Obtaining a Project ID and Name. |
training_job_id |
Yes |
String |
ID of a training job. |
Request Parameters
None
Response Parameters
Status code: 200
Parameter |
Type |
Description |
---|---|---|
header |
Array of strings |
Field of a trial searched using hyperparameters. |
data |
Array<Array<String>> |
Each 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.
Parent topic: Training Management