ModelVersionProps
Properties for defining a ModelVersion.
See https://www.alibabacloud.com/help/ros/developer-reference/aliyun-pai-modelversion
Initializer
import ros_cdk_pai
ros_cdk_pai.ModelVersionProps(
model_id: typing.Union[str, IResolvable],
uri: typing.Union[str, IResolvable],
approval_status: typing.Union[str, IResolvable] = None,
extra_info: typing.Union[IResolvable, typing.Mapping[typing.Any]] = None,
format_type: typing.Union[str, IResolvable] = None,
framework_type: typing.Union[str, IResolvable] = None,
inference_spec: typing.Union[IResolvable, typing.Mapping[typing.Any]] = None,
labels: typing.Union[IResolvable, typing.List[typing.Union[IResolvable, LabelsProperty]]] = None,
metrics: typing.Union[IResolvable, typing.Mapping[typing.Any]] = None,
options: typing.Union[str, IResolvable] = None,
source_id: typing.Union[str, IResolvable] = None,
source_type: typing.Union[str, IResolvable] = None,
training_spec: typing.Union[IResolvable, typing.Mapping[typing.Any]] = None,
version_description: typing.Union[str, IResolvable] = None,
version_name: typing.Union[str, IResolvable] = None
)
Properties
| Name | Type | Description |
|---|---|---|
model_id | typing.Union[str, ros_cdk_core.IResolvable] | Property modelId: Model ID. |
uri | typing.Union[str, ros_cdk_core.IResolvable] | Property uri: Model version URI, that is, the location where the model is stored. |
approval_status | typing.Union[str, ros_cdk_core.IResolvable] | Property approvalStatus: Admission status, with values as follows: - Pending: to be determined. |
extra_info | typing.Union[ros_cdk_core.IResolvable, typing.Mapping[typing.Any]] | Property extraInfo: The additional information. |
format_type | typing.Union[str, ros_cdk_core.IResolvable] | Property formatType: Model format, possible values: - OfflineModel - SavedModel - Keras H5 - Frozen Pb - Caffe Prototxt - TorchScript - XGBoost - PMML - AlinkModel - ONNX. |
framework_type | typing.Union[str, ros_cdk_core.IResolvable] | Property frameworkType: Model framework, possible values: - Pytorch - XGBoost - Keras - Caffe - Alink - Xflow - TensorFlow. |
inference_spec | typing.Union[ros_cdk_core.IResolvable, typing.Mapping[typing.Any]] | Property inferenceSpec: Describes how to apply to downstream inference services. |
labels | typing.Union[ros_cdk_core.IResolvable, typing.List[typing.Union[ros_cdk_core.IResolvable, LabelsProperty]]] | Property labels: List of model version labels. |
metrics | typing.Union[ros_cdk_core.IResolvable, typing.Mapping[typing.Any]] | Property metrics: The metrics for the model. |
options | typing.Union[str, ros_cdk_core.IResolvable] | Property options: The extended field. |
source_id | typing.Union[str, ros_cdk_core.IResolvable] | Property sourceId: Source ID. |
source_type | typing.Union[str, ros_cdk_core.IResolvable] | Property sourceType: Model source type, possible values: - Custom: Custom. |
training_spec | typing.Union[ros_cdk_core.IResolvable, typing.Mapping[typing.Any]] | Property trainingSpec: Training configuration. |
version_description | typing.Union[str, ros_cdk_core.IResolvable] | Property versionDescription: Model version description. |
version_name | typing.Union[str, ros_cdk_core.IResolvable] | Property versionName: The model version, which is unique for each model. |
model_idRequired
model_id: typing.Union[str, IResolvable]
- Type: typing.Union[str, ros_cdk_core.IResolvable]
Property modelId: Model ID.
For details about how to obtain the model ID.
uriRequired
uri: typing.Union[str, IResolvable]
- Type: typing.Union[str, ros_cdk_core.IResolvable]
Property uri: Model version URI, that is, the location where the model is stored.
Possible values are:
- The HTTP(S) address of the model, for example: 'https://myweb.com/mymodel.tar.gz '.
- If the model is stored in OSS, the format is 'oss://
. /object '. For the endpoint configuration, see Access domain name and data center. For example, see OSS:// mybucket/'.
approval_statusOptional
approval_status: typing.Union[str, IResolvable]
- Type: typing.Union[str, ros_cdk_core.IResolvable]
Property approvalStatus: Admission status, with values as follows: - Pending: to be determined.
- Approved: Allow to go online.
- Rejected: Online is not allowed.
extra_infoOptional
extra_info: typing.Union[IResolvable, typing.Mapping[typing.Any]]
- Type: typing.Union[ros_cdk_core.IResolvable, typing.Mapping[typing.Any]]
Property extraInfo: The additional information.
format_typeOptional
format_type: typing.Union[str, IResolvable]
- Type: typing.Union[str, ros_cdk_core.IResolvable]
Property formatType: Model format, possible values: - OfflineModel - SavedModel - Keras H5 - Frozen Pb - Caffe Prototxt - TorchScript - XGBoost - PMML - AlinkModel - ONNX.
framework_typeOptional
framework_type: typing.Union[str, IResolvable]
- Type: typing.Union[str, ros_cdk_core.IResolvable]
Property frameworkType: Model framework, possible values: - Pytorch - XGBoost - Keras - Caffe - Alink - Xflow - TensorFlow.
inference_specOptional
inference_spec: typing.Union[IResolvable, typing.Mapping[typing.Any]]
- Type: typing.Union[ros_cdk_core.IResolvable, typing.Mapping[typing.Any]]
Property inferenceSpec: Describes how to apply to downstream inference services.
For example, describe the processor and container of EAS. Example: { "processor": "tensorflow_gpu_1.12" }
labelsOptional
labels: typing.Union[IResolvable, typing.List[typing.Union[IResolvable, LabelsProperty]]]
- Type: typing.Union[ros_cdk_core.IResolvable, typing.List[typing.Union[ros_cdk_core.IResolvable, LabelsProperty]]]
Property labels: List of model version labels.
metricsOptional
metrics: typing.Union[IResolvable, typing.Mapping[typing.Any]]
- Type: typing.Union[ros_cdk_core.IResolvable, typing.Mapping[typing.Any]]
Property metrics: The metrics for the model.
The length after serialization is limited to 8,192. Example: { "Results": [{ "Dataset": { "DatasetId": "d-sdkjanksaklerhfd" }, "Metrics": { "cer": 0.175 } }, { "Dataset": { "Uri": "oss://xxxx/" }, "Metrics": { "cer": 0.172 } }] }
optionsOptional
options: typing.Union[str, IResolvable]
- Type: typing.Union[str, ros_cdk_core.IResolvable]
Property options: The extended field.
This is a JSON string.
source_idOptional
source_id: typing.Union[str, IResolvable]
- Type: typing.Union[str, ros_cdk_core.IResolvable]
Property sourceId: Source ID.
- When the source type is Custom, this field is not restricted.
-
When the source is PAIFlow or TrainingService, the format is: region=
,workspaceId= ,kind= ,id= Among them: -
region is the Alibaba Cloud region ID.
- workspaceId indicates the workspace ID.
- kind: is a type. Value: PipelineRun(PAIFlow workflow);ServiceJob (training service).
- id: is a unique identifier.
source_typeOptional
source_type: typing.Union[str, IResolvable]
- Type: typing.Union[str, ros_cdk_core.IResolvable]
Property sourceType: Model source type, possible values: - Custom: Custom.
- PAIFlow:PAI workflow.
- TrainingService:PAI training service.
training_specOptional
training_spec: typing.Union[IResolvable, typing.Mapping[typing.Any]]
- Type: typing.Union[ros_cdk_core.IResolvable, typing.Mapping[typing.Any]]
Property trainingSpec: Training configuration.
Configuration for fine-tuning, incremental training.
version_descriptionOptional
version_description: typing.Union[str, IResolvable]
- Type: typing.Union[str, ros_cdk_core.IResolvable]
Property versionDescription: Model version description.
version_nameOptional
version_name: typing.Union[str, IResolvable]
- Type: typing.Union[str, ros_cdk_core.IResolvable]
Property versionName: The model version, which is unique for each model.
If you leave this parameter empty, the first version is 0.1.0 by default. After that, the minor version number is increased by 1 in sequence. For example, the second version number is 0.2.0. A version number consists of a major version number, a minor version number, and a stage version number, separated by periods (.). The major version number and minor version number are numeric. The stage version number begins with a digit and can include numbers, underscores, and letters. For example, the version number is 1.1.0 or 2.3.4_beta.