Post new data to a deployed SageMaker model endpoint and augment with predictions

Post new data to a deployed SageMaker model endpoint and augment with predictions

Usage

# S3 method for class 'vetiver_endpoint_sagemaker'
augment(x, new_data, ...)

Arguments

x

A SageMaker model endpoint object created with vetiver_endpoint_sagemaker().

new_data

New data for making predictions, such as a data frame.

...

Extra arguments passed to paws.machine.learning::sagemakerruntime_invoke_endpoint()

Value

The new_data with added prediction column(s).

See also

predict.vetiver_endpoint_sagemaker()

Examples

if (FALSE) {
  endpoint <- vetiver_endpoint_sagemaker("sagemaker-demo-model")
  augment(endpoint, mtcars[4:7, -1])
}