def sample_update_dataset():
    # Create a client
    client = aiplatform_v1beta1.DatasetServiceClient()

    # Initialize request argument(s)
    dataset = aiplatform_v1beta1.Dataset()
    dataset.display_name = "display_name_value"
    dataset.metadata_schema_uri = "metadata_schema_uri_value"
    dataset.metadata.null_value = "NULL_VALUE"

    request = aiplatform_v1beta1.UpdateDatasetRequest(dataset=dataset, )

    # Make the request
    response = client.update_dataset(request=request)

    # Handle the response
    print(response)
Пример #2
0
async def sample_create_dataset():
    # Create a client
    client = aiplatform_v1beta1.DatasetServiceAsyncClient()

    # Initialize request argument(s)
    dataset = aiplatform_v1beta1.Dataset()
    dataset.display_name = "display_name_value"
    dataset.metadata_schema_uri = "metadata_schema_uri_value"
    dataset.metadata.null_value = "NULL_VALUE"

    request = aiplatform_v1beta1.CreateDatasetRequest(
        parent="parent_value",
        dataset=dataset,
    )

    # Make the request
    operation = client.create_dataset(request=request)

    print("Waiting for operation to complete...")

    response = await operation.result()

    # Handle the response
    print(response)