Sagemaker estimator object. Interface to sagemaker$estimator$Estimator
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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/"), ... )
container | URI of Sagemaker model container. See sagemaker_container. |
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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. |