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)
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)