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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_listRequired 

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_nameRequired 

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

Property modelName: The name of model.

model_typeRequired 

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_idRequired 

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.

lrOptional 

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

Property lr: Learning rate.

nepochsOptional 

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

Property nepochs: Number of training dataset iterations.

test_dataset_id_listOptional 

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.