PipelineDefinition: resources/definition/rlestimator_training_job_pipeline.py
TestName: rlestimator-pipeline-training
Timeout: 900
ExpectedTrainingImage: 462105765813.dkr.ecr.((REGION)).amazonaws.com/sagemaker-rl-ray-container:ray-0.8.5-tf-cpu-py36
Arguments:
  region: ((REGION))
  role: ((SAGEMAKER_ROLE_ARN))
  entry_point: "train_news_vendor.py"
  metric_definitions: "[]"
  hyperparameters: "{}"
  source_dir: s3://((DATA_BUCKET))/rlestimator/sourcedir.tar.gz
  max_run: 300
  job_name: rlestimator-test
  model_artifact_path: s3://((DATA_BUCKET))/rlestimator/output/
  instance_count: 1
  instance_type: ml.c5.2xlarge
  framework: tensorflow
  toolkit: ray
  toolkit_version: "0.8.5"
