Class DescribeTrainingModelVersionsRequest
- java.lang.Object
-
- com.tencentcloudapi.common.AbstractModel
-
- com.tencentcloudapi.tione.v20211111.models.DescribeTrainingModelVersionsRequest
-
public class DescribeTrainingModelVersionsRequest extends AbstractModel
-
-
Field Summary
-
Fields inherited from class com.tencentcloudapi.common.AbstractModel
header, skipSign
-
-
Constructor Summary
Constructors Constructor Description DescribeTrainingModelVersionsRequest()DescribeTrainingModelVersionsRequest(DescribeTrainingModelVersionsRequest source)NOTE: Any ambiguous key set via .set("AnyKey", "value") will be a shallow copy, and any explicit key, i.e Foo, set via .setFoo("value") will be a deep copy.
-
Method Summary
All Methods Instance Methods Concrete Methods Modifier and Type Method Description Filter[]getFilters()Get 过滤条件 Filter.Name: 枚举值: TrainingModelVersionId (模型版本ID) ModelVersionType (模型版本类型) 其值支持: NORMAL(通用) ACCELERATE (加速) ModelFormat(模型格式)其值Filter.Values支持: TORCH_SCRIPT/PYTORCH/DETECTRON2/SAVED_MODEL/FROZEN_GRAPH/PMML AlgorithmFramework (算法框架) 其值Filter.Values支持:TENSORFLOW/PYTORCH/DETECTRON2 Filter.Values: 当长度为1时,支持模糊查询; 不为1时,精确查询 每次请求的Filters的上限为10,Filter.Values的上限为100StringgetTrainingModelId()Get 模型IDvoidsetFilters(Filter[] Filters)Set 过滤条件 Filter.Name: 枚举值: TrainingModelVersionId (模型版本ID) ModelVersionType (模型版本类型) 其值支持: NORMAL(通用) ACCELERATE (加速) ModelFormat(模型格式)其值Filter.Values支持: TORCH_SCRIPT/PYTORCH/DETECTRON2/SAVED_MODEL/FROZEN_GRAPH/PMML AlgorithmFramework (算法框架) 其值Filter.Values支持:TENSORFLOW/PYTORCH/DETECTRON2 Filter.Values: 当长度为1时,支持模糊查询; 不为1时,精确查询 每次请求的Filters的上限为10,Filter.Values的上限为100voidsetTrainingModelId(String TrainingModelId)Set 模型IDvoidtoMap(HashMap<String,String> map, String prefix)Internal implementation, normal users should not use it.-
Methods inherited from class com.tencentcloudapi.common.AbstractModel
any, fromJsonString, getBinaryParams, GetHeader, getMultipartRequestParams, getSkipSign, set, SetHeader, setParamArrayObj, setParamArraySimple, setParamObj, setParamSimple, setSkipSign, toJsonString
-
-
-
-
Constructor Detail
-
DescribeTrainingModelVersionsRequest
public DescribeTrainingModelVersionsRequest()
-
DescribeTrainingModelVersionsRequest
public DescribeTrainingModelVersionsRequest(DescribeTrainingModelVersionsRequest source)
NOTE: Any ambiguous key set via .set("AnyKey", "value") will be a shallow copy, and any explicit key, i.e Foo, set via .setFoo("value") will be a deep copy.
-
-
Method Detail
-
getTrainingModelId
public String getTrainingModelId()
Get 模型ID- Returns:
- TrainingModelId 模型ID
-
setTrainingModelId
public void setTrainingModelId(String TrainingModelId)
Set 模型ID- Parameters:
TrainingModelId- 模型ID
-
getFilters
public Filter[] getFilters()
Get 过滤条件 Filter.Name: 枚举值: TrainingModelVersionId (模型版本ID) ModelVersionType (模型版本类型) 其值支持: NORMAL(通用) ACCELERATE (加速) ModelFormat(模型格式)其值Filter.Values支持: TORCH_SCRIPT/PYTORCH/DETECTRON2/SAVED_MODEL/FROZEN_GRAPH/PMML AlgorithmFramework (算法框架) 其值Filter.Values支持:TENSORFLOW/PYTORCH/DETECTRON2 Filter.Values: 当长度为1时,支持模糊查询; 不为1时,精确查询 每次请求的Filters的上限为10,Filter.Values的上限为100- Returns:
- Filters 过滤条件 Filter.Name: 枚举值: TrainingModelVersionId (模型版本ID) ModelVersionType (模型版本类型) 其值支持: NORMAL(通用) ACCELERATE (加速) ModelFormat(模型格式)其值Filter.Values支持: TORCH_SCRIPT/PYTORCH/DETECTRON2/SAVED_MODEL/FROZEN_GRAPH/PMML AlgorithmFramework (算法框架) 其值Filter.Values支持:TENSORFLOW/PYTORCH/DETECTRON2 Filter.Values: 当长度为1时,支持模糊查询; 不为1时,精确查询 每次请求的Filters的上限为10,Filter.Values的上限为100
-
setFilters
public void setFilters(Filter[] Filters)
Set 过滤条件 Filter.Name: 枚举值: TrainingModelVersionId (模型版本ID) ModelVersionType (模型版本类型) 其值支持: NORMAL(通用) ACCELERATE (加速) ModelFormat(模型格式)其值Filter.Values支持: TORCH_SCRIPT/PYTORCH/DETECTRON2/SAVED_MODEL/FROZEN_GRAPH/PMML AlgorithmFramework (算法框架) 其值Filter.Values支持:TENSORFLOW/PYTORCH/DETECTRON2 Filter.Values: 当长度为1时,支持模糊查询; 不为1时,精确查询 每次请求的Filters的上限为10,Filter.Values的上限为100- Parameters:
Filters- 过滤条件 Filter.Name: 枚举值: TrainingModelVersionId (模型版本ID) ModelVersionType (模型版本类型) 其值支持: NORMAL(通用) ACCELERATE (加速) ModelFormat(模型格式)其值Filter.Values支持: TORCH_SCRIPT/PYTORCH/DETECTRON2/SAVED_MODEL/FROZEN_GRAPH/PMML AlgorithmFramework (算法框架) 其值Filter.Values支持:TENSORFLOW/PYTORCH/DETECTRON2 Filter.Values: 当长度为1时,支持模糊查询; 不为1时,精确查询 每次请求的Filters的上限为10,Filter.Values的上限为100
-
-