Property cloudObj | teradataml Extension Library | API Integration - Property cloudObj

TDApiClient exposes the following classes:

Two estimator wrapper classes (returned by TDApiClient.<sagemaker_class_name>)
One predictor wrapper classes (returned by deploy method)

Users can use this cloudObj property to access objects from Amazon SageMaker Python library.

The syntax is:

```
estimatorWrapper.cloudObj
```
```
predictoWrapper.cloudObj
```

Example

from tdapiclient import create_tdapi_context, TDApiClient

awsContext = create_tdapi_context("aws", "s3_bucket")

sagemakerTD = TDApiClient(awsContext)

mxnetEstimaterWrapperObj = sagemakerTD.MXNet('train.py',
                                    role='SageMakerRole',
                                    instance_type='ml.p2.xlarge',
                                    instance_count=1,
                                    py_version="py3",
                                    framework_version='1.2.1')

mxnetEstimaterWrapperObj.cloudObj

inputDF = DataFrame("inputTable")
mxnetEstimaterWrapperObj.fit(inputs=inputDF, content_type='json')

predictorWrapperObj = mxnetEstimaterWrapperObj.deploy(sagemaker_kw_args={"instance_type": "ml.p2.xlarge", "initial_instance_count": 1})

predictorWrapperObj.cloudObj

Property cloudObj | teradataml Extension Library | API Integration - Property cloudObj - Teradata VantageCloud Lake

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