Deploys a real-time Sagemaker web endpoint. This process takes a few minutes. Interface to sagemaker$estimator$Estimator$deploy

sagemaker_deploy_endpoint(
  object,
  instance_count = 1L,
  instance_type = "ml.t2.medium",
  wait = TRUE,
  ...
)

sagemaker_has_endpoint(object)

sagemaker_delete_endpoint(object)

Arguments

object

The sagemaker model object created by sagemaker_hyperparameter_tuner or sagemaker_attach_tuner.

instance_count

The number of instances to run.

instance_type

Type of EC2 instance to run. See here for a list of options and pricing.

wait

Boolean that indicates if function should wait to return until the Sagemaker process is complete.

...

Additional named arguments sent to the underlying API.