ModelProps

Properties for defining a Model.

See https://www.alibabacloud.com/help/ros/developer-reference/aliyun-nlpautoml-model

Initializer

import ros_cdk_nlpautoml
ros_cdk_nlpautoml.ModelProps(
  dataset_id_list: typing.Union[IResolvable, typing.List[typing.Union[typing.Union[int, float], IResolvable]]],
  model_name: typing.Union[str, IResolvable],
  model_type: typing.Union[str, IResolvable],
  project_id: typing.Union[typing.Union[int, float], IResolvable],
  lr: typing.Union[str, IResolvable] = None,
  nepochs: typing.Union[str, IResolvable] = None,
  test_dataset_id_list: typing.Union[IResolvable, typing.List[typing.Union[typing.Union[int, float], IResolvable]]] = None
)

Properties

Name	Type	Description
dataset_id_list	typing.Union[ros_cdk_core.IResolvable, typing.List[typing.Union[typing.Union[int, float], ros_cdk_core.IResolvable]]]	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.
model_name	typing.Union[str, ros_cdk_core.IResolvable]	Property modelName: The name of model.
model_type	typing.Union[str, ros_cdk_core.IResolvable]	Property modelType: The type of model.
project_id	typing.Union[typing.Union[int, float], ros_cdk_core.IResolvable]	Property projectId: The project id to which the model belongs.
lr	typing.Union[str, ros_cdk_core.IResolvable]	Property lr: Learning rate.
nepochs	typing.Union[str, ros_cdk_core.IResolvable]	Property nepochs: Number of training dataset iterations.
test_dataset_id_list	typing.Union[ros_cdk_core.IResolvable, typing.List[typing.Union[typing.Union[int, float], ros_cdk_core.IResolvable]]]	Property testDatasetIdList: Test set ID list.

---

dataset_id_list^Required

dataset_id_list: typing.Union[IResolvable, typing.List[typing.Union[typing.Union[int, float], IResolvable]]]

• Type: typing.Union[ros_cdk_core.IResolvable, typing.List[typing.Union[typing.Union[int, float], ros_cdk_core.IResolvable]]]

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.

---

model_name^Required

model_name: typing.Union[str, IResolvable]

• Type: typing.Union[str, ros_cdk_core.IResolvable]

Property modelName: The name of model.

---

model_type^Required

model_type: typing.Union[str, IResolvable]

• Type: typing.Union[str, ros_cdk_core.IResolvable]

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

---

project_id^Required

project_id: typing.Union[typing.Union[int, float], IResolvable]

• Type: typing.Union[typing.Union[int, float], ros_cdk_core.IResolvable]

Property projectId: The project id to which the model belongs.

---

lr^Optional

lr: typing.Union[str, IResolvable]

• Type: typing.Union[str, ros_cdk_core.IResolvable]

Property lr: Learning rate.

---

nepochs^Optional

nepochs: typing.Union[str, IResolvable]

• Type: typing.Union[str, ros_cdk_core.IResolvable]

Property nepochs: Number of training dataset iterations.

---

test_dataset_id_list^Optional

test_dataset_id_list: typing.Union[IResolvable, typing.List[typing.Union[typing.Union[int, float], IResolvable]]]

• Type: typing.Union[ros_cdk_core.IResolvable, typing.List[typing.Union[typing.Union[int, float], ros_cdk_core.IResolvable]]]

Property testDatasetIdList: Test set ID list.

Some models under text classification support adding test set data.

---