ModelProps
Properties for defining a Model
.
See https://www.alibabacloud.com/help/ros/developer-reference/aliyun-nlpautoml-model
Initializer
using AlibabaCloud.SDK.ROS.CDK.Nlpautoml;
new ModelProps {
object DatasetIdList,
object ModelName,
object ModelType,
object ProjectId,
object Lr = null,
object Nepochs = null,
object TestDatasetIdList = null
};
Properties
Name | Type | Description |
---|---|---|
DatasetIdList |
object |
Property datasetIdList: The uploaded dataset must be under the same project, and the total number of marked data is greater than or equal to 4. |
ModelName |
object |
Property modelName: The name of model. |
ModelType |
object |
Property modelType: The type of model. |
ProjectId |
object |
Property projectId: The project id to which the model belongs. |
Lr |
object |
Property lr: Learning rate. |
Nepochs |
object |
Property nepochs: Number of training dataset iterations. |
TestDatasetIdList |
object |
Property testDatasetIdList: Test set ID list. |
DatasetIdList
Required
public object DatasetIdList { get; set; }
- Type: object
Property datasetIdList: The uploaded dataset must be under the same project, and the total number of marked data is greater than or equal to 4.
ModelName
Required
public object ModelName { get; set; }
- Type: object
Property modelName: The name of model.
ModelType
Required
public object ModelType { get; set; }
- Type: object
Property modelType: The type of model.
Please refer to the documentation for the parameter values corresponding to different types of models. Using the specified model type under different project, and the backend will do the verification. If the model type does not exist under the project, it will prompt that the base model is not found
ProjectId
Required
public object ProjectId { get; set; }
- Type: object
Property projectId: The project id to which the model belongs.
Lr
Optional
public object Lr { get; set; }
- Type: object
Property lr: Learning rate.
Nepochs
Optional
public object Nepochs { get; set; }
- Type: object
Property nepochs: Number of training dataset iterations.
TestDatasetIdList
Optional
public object TestDatasetIdList { get; set; }
- Type: object
Property testDatasetIdList: Test set ID list.
Some models under text classification support adding test set data.