Sagemaker estimator object. Interface to sagemaker$estimator$Estimator.

sagemaker_estimator(
  container,
  instance_count = 1L,
  instance_type = "ml.m4.xlarge",
  s3_output = s3(s3_bucket(), "models/"),
  ...
)

sagemaker_xgb_estimator(
  instance_count = 1L,
  instance_type = "ml.m4.xlarge",
  s3_output = s3(s3_bucket(), "models/"),
  ...
)

Arguments

container

URI of Sagemaker model container. See sagemaker_container.

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.

s3_output

The S3 output path to save the model artifact. See s3 to construct the S3 path.

...

Additional named arguments sent to the underlying API.