更新时间：2024-10-23 GMT+08:00
查询超参搜索所有trial的结果
功能介绍
查询超参搜索所有trial的结果。
调试
您可以在API Explorer中调试该接口，支持自动认证鉴权。API Explorer可以自动生成SDK代码示例，并提供SDK代码示例调试功能。
URI
GET /v2/{project_id}/training-jobs/{training_job_id}/autosearch-trials
|
参数 |
是否必选 |
参数类型 |
描述 |
|---|---|---|---|
|
project_id |
是 |
String |
用户项目ID。获取方法请参见获取项目ID和名称。 |
|
training_job_id |
是 |
String |
训练作业ID。获取方法请参见查询训练作业列表。 |
|
project_id |
是 |
String |
用户项目ID。获取方法请参见获取项目ID和名称。 |
|
training_job_id |
是 |
String |
训练作业ID。获取方法请参见查询训练作业列表。 |
|
参数 |
是否必选 |
参数类型 |
描述 |
|---|---|---|---|
|
limit |
否 |
Integer |
返回的数据条目数。 |
|
offset |
否 |
Integer |
数据条目偏移量。 |
请求参数
无
响应参数
状态码： 200
|
参数 |
参数类型 |
描述 |
|---|---|---|
|
total |
Integer |
超参搜索所有trial结果的个数。 |
|
count |
Integer |
超参搜索所有trial结果的当前页展示个数。 |
|
limit |
Integer |
超参搜索所有trial结果的当前页展示个数最大值。 |
|
offset |
Integer |
超参搜索所有trial结果的当前页数。 |
|
group_by |
String |
分类。 |
|
items |
items object |
超参搜索列表。 |
请求示例
如以下查询training_job_id为5b60a667-1438-4eb5-9705-85b860e623dc的作业的所有trial的信息。
GET https://endpoint/v2/{project_id}/training-jobs/5b60a667-1438-4eb5-9705-85b860e623dc/autosearch-trials
响应示例
状态码： 200
ok
{
"total" : 8,
"count" : 8,
"limit" : 50,
"offset" : 0,
"group_by" : "",
"items" : {
"header" : [ "", "done", "pid", "config", "trial_id", "training_iteration", "time_total_s", "worker_index", "reward_attr", "status", "acc", "loss", "best_reward" ],
"data" : [ [ "0", "True", "314", {
"batch_size" : 32,
"learning_rate" : 0.05512301741232006,
"trial_index" : 0,
"param/batch_size" : 32,
"param/learning_rate" : 0.05512301741232006
}, "ae544174", "2", "19.477163314819336", "", "0.0625", "TERMINATED", "0.0625", "tensor(0.0754, device='cuda:0', requires_grad=True)", "0.0625" ], [ "1", "True", "315", {
"batch_size" : 32,
"learning_rate" : 0.0785570955603036,
"trial_index" : 1,
"param/batch_size" : 32,
"param/learning_rate" : 0.0785570955603036
}, "ae548666", "2", "3.601897954940796", "", "0.0", "TERMINATED", "0.0", "tensor(0.0760, device='cuda:0', requires_grad=True)", "0.0" ], [ "2", "True", "312", {
"batch_size" : 16,
"learning_rate" : 0.04015387428829642,
"trial_index" : 2,
"param/batch_size" : 16,
"param/learning_rate" : 0.04015387428829642
}, "ae54c0ea", "2", "3.5978384017944336", "", "0.1875", "TERMINATED", "0.1875", "tensor(0.1469, device='cuda:0', requires_grad=True)", "0.1875" ], [ "3", "True", "313", {
"batch_size" : 32,
"learning_rate" : 0.0340820322164706,
"trial_index" : 3,
"param/batch_size" : 32,
"param/learning_rate" : 0.0340820322164706
}, "ae5503c0", "2", "3.641200304031372", "", "0.25", "TERMINATED", "0.25", "tensor(0.0716, device='cuda:0', requires_grad=True)", "0.25" ], [ "4", "True", "470", {
"batch_size" : 32,
"learning_rate" : 0.03656488928171769,
"trial_index" : 4,
"param/batch_size" : 32,
"param/learning_rate" : 0.03656488928171769
}, "bef46590", "2", "3.6120550632476807", "", "0.09375", "TERMINATED", "0.09375", "tensor(0.0740, device='cuda:0', requires_grad=True)", "0.09375" ], [ "5", "True", "499", {
"batch_size" : 32,
"learning_rate" : 0.008413169003970163,
"trial_index" : 5,
"param/batch_size" : 32,
"param/learning_rate" : 0.008413169003970163
}, "bef578f4", "2", "3.6379287242889404", "", "0.1875", "TERMINATED", "0.1875", "tensor(0.0723, device='cuda:0', requires_grad=True)", "0.1875" ], [ "6", "True", "528", {
"batch_size" : 64,
"learning_rate" : 0.06297447200613912,
"trial_index" : 6,
"param/batch_size" : 64,
"param/learning_rate" : 0.06297447200613912
}, "bef5c584", "2", "3.711118221282959", "", "0.046875", "TERMINATED", "0.046875", "tensor(0.0381, device='cuda:0', requires_grad=True)", "0.046875" ], [ "7", "True", "557", {
"batch_size" : 32,
"learning_rate" : 0.04426479392014276,
"trial_index" : 7,
"param/batch_size" : 32,
"param/learning_rate" : 0.04426479392014276
}, "bef60684", "2", "3.6971280574798584", "", "0.0625", "TERMINATED", "0.0625", "tensor(0.0778, device='cuda:0', requires_grad=True)", "0.0625" ] ]
}
}
状态码
|
状态码 |
描述 |
|---|---|
|
200 |
ok |
错误码
请参见错误码。
父主题： 训练管理
