Querying Information About a Trial Using Hyperparameter Search¶
Function¶
This API is used to query information about a trial using hyperparameter search based on the trial_id.
URI¶
GET /v2/{project_id}/training-jobs/{training_job_id}/autosearch-trials/{trial_id}
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. |
trial_id | Yes | String | trial_id for hyperparameter search. |
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 information about trial ae544174 of the job whose training_job_id is 5b60a667-1438-4eb5-9705-85b860e623dc.
GET https://endpoint//v2/{project_id}/training-jobs/5b60a667-1438-4eb5-9705-85b860e623dc/autosearch-trials/ae544174
Example Responses¶
Status code: 200
ok
{
"header" : [ "done", "pid", "best_reward", "time_total_s", "config", "acc", "loss", "trial_id", "training_iteration", "reward_attr" ],
"data" : [ [ "False", "314", "0.0625", "19.477163314819336", {
"batch_size" : 32,
"learning_rate" : 0.05512301741232006,
"trial_index" : 0,
"param/batch_size" : 32,
"param/learning_rate" : 0.05512301741232006
}, "0.0625", "tensor(0.0754, device='cuda:0', requires_grad=True)", "ae544174", "2", "0.0625" ], [ "True", "314", "0.0625", "19.477163314819336", {
"batch_size" : 32,
"learning_rate" : 0.05512301741232006,
"trial_index" : 0,
"param/batch_size" : 32,
"param/learning_rate" : 0.05512301741232006
}, "0.0625", "tensor(0.0754, device='cuda:0', requires_grad=True)", "ae544174", "2", "0.0625" ] ]
}
Status Codes¶
Status Code | Description |
|---|---|
200 | ok |
Error Codes¶
See Error Codes.