sagemaker_deploy_endpoint: Deploy Sagemaker Real-time Endpoint

In tmastny/sagemaker: R Interface for the AWS Sagemaker API

Description

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

Usage

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.

tmastny/sagemaker documentation built on July 15, 2020, 4:17 p.m.