獲取模型特征詳細信息。
調試
您可以在OpenAPI Explorer中直接運行該接口,免去您計算簽名的困擾。運行成功后,OpenAPI Explorer可以自動生成SDK代碼示例。
授權信息
下表是API對應的授權信息,可以在RAM權限策略語句的Action
元素中使用,用來給RAM用戶或RAM角色授予調用此API的權限。具體說明如下:
- 操作:是指具體的權限點。
- 訪問級別:是指每個操作的訪問級別,取值為寫入(Write)、讀取(Read)或列出(List)。
- 資源類型:是指操作中支持授權的資源類型。具體說明如下:
- 對于必選的資源類型,用背景高亮的方式表示。
- 對于不支持資源級授權的操作,用
全部資源
表示。
- 條件關鍵字:是指云產品自身定義的條件關鍵字。
- 關聯操作:是指成功執行操作所需要的其他權限。操作者必須同時具備關聯操作的權限,操作才能成功。
操作 | 訪問級別 | 資源類型 | 條件關鍵字 | 關聯操作 |
---|---|---|---|---|
featurestore:GetModelFeature | get |
|
| 無 |
請求語法
GET /api/v1/instances/{InstanceId}/modelfeatures/{ModelFeatureId}
請求參數
名稱 | 類型 | 必填 | 描述 | 示例值 |
---|---|---|---|---|
InstanceId | string | 是 | 實例 ID,可從接口 ListInstances 獲取。 | fs-cn-******** |
ModelFeatureId | string | 是 | 模型特征 ID,可從接口 ListModelFeatures 獲取。 | 3 |
返回參數
示例
正常返回示例
JSON
格式
{
"RequestId": "0C89F5E1-7F24-5EEC-9F05-508A39278CC8",
"ProjectId": "5",
"ProjectName": "project1",
"Name": "model_feature1",
"Owner": "1231243253****",
"GmtCreateTime": "2023-07-04T14:46:22.227+08:00",
"GmtModifiedTime": "2023-07-04T14:46:22.227+08:00",
"LabelTableId": "3",
"LabelTableName": "label_table1",
"TrainingSetTable": "table1",
"TrainingSetFGTable": "table2",
"Features": [
{
"FeatureViewId": "3",
"FeatureViewName": "feature_view_1",
"Name": "feature1",
"Type": "INT32",
"AliasName": "feature2"
}
],
"Relations": {
"Domains": [
{
"Id": "3",
"Name": "feature_entity_1",
"DomainType": "FeatureEntity"
}
],
"Links": [
{
"From": "model_feature_2",
"To": "feature_entity_3",
"Link": "user_id"
}
]
},
"ExportTrainingSetTableScript": "from feature_store_py.fs_client import FeatureStoreClient\\nfrom feature_store_py.fs_project import FeatureStoreProject\\nfrom feature_store_py.fs_datasource import LabelInput, MaxComputeDataSource, TrainingSetOutput\\nfrom feature_store_py.fs_features import FeatureSelector\\nfrom feature_store_py.fs_config import LabelInputConfig, PartitionConfig, FeatureViewConfig\\nfrom feature_store_py.fs_config import TrainSetOutputConfig, EASDeployConfig\\nimport datetime\\nimport sys\\n\\ncur_day = args['dt']\\nprint('cur_day = ', cur_day)\\noffset = datetime.timedelta(days=-1)\\npre_day = (datetime.datetime.strptime(cur_day, '%Y%m%d') + offset).strftime('%Y%m%d')\\nprint('pre_day = ', pre_day)\\n\\n\\naccess_key_id = o.account.access_id\\naccess_key_secret = o.account.secret_access_key\\nfs = FeatureStoreClient(access_key_id=access_key_id, access_key_secret=access_key_secret, region='cn-beijing')\\ncur_project_name = 'p1'\\nproject = fs.get_project(cur_project_name)\\n\\nlabel_partitions = PartitionConfig(name = 'ds', value = cur_day)\\nlabel_input_config = LabelInputConfig(partition_config=label_partitions)\\n\\nfeature_view_1_partitions = PartitionConfig(name = 'ds', value = pre_day)\\nfeature_view_1_config = FeatureViewConfig(name = 'user_fea',\\npartition_config=feature_view_1_partitions)\\n\\nfeature_view_2_partitions = PartitionConfig(name = 'ds', value = pre_day)\\nfeature_view_2_config = FeatureViewConfig(name = 'seq_fea',\\npartition_config=feature_view_2_partitions)\\n\\nfeature_view_3_partitions = PartitionConfig(name = 'ds', value = pre_day)\\nfeature_view_3_config = FeatureViewConfig(name = 'item_fea',\\npartition_config=feature_view_3_partitions)\\n\\nfeature_view_config_list = [feature_view_1_config,feature_view_2_config,feature_view_3_config]\\ntrain_set_partitions = PartitionConfig(name = 'ds', value = cur_day)\\ntrain_set_output_config = TrainSetOutputConfig(partition_config=train_set_partitions)\\n\\n\\nmodel_name = 'rank_v1'\\ncur_model = project.get_model(model_name)\\ntask = cur_model.export_train_set(label_input_config, feature_view_config_list, train_set_output_config)\\ntask.wait()\\nprint('task_summary = ', task.task_summary)\\n",
"LabelPriorityLevel": 0
}
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變更歷史
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---|---|---|
2024-09-03 | OpenAPI 返回結構發生變更 | 查看變更詳情 |
2024-01-29 | OpenAPI 返回結構發生變更 | 查看變更詳情 |