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Post new data to a deployed SageMaker model endpoint and return predictions

Usage

# S3 method for class 'vetiver_endpoint_sagemaker'
predict(object, new_data, ...)

Arguments

object

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

A tibble of model predictions with as many rows as in new_data.

Examples

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