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@brightsparc brightsparc commented Oct 23, 2018

I added Source/data-prep.py which is run as a pre_build before training which takes an additional parameter DataSource and BucketPrefix to upload data. This is to enable the pipeline to support easily forking the repo for other data prepration such as train/test split and RecordIO file creation.

I updated pipeline.yaml to pass in the region to Source/training.py so that it could look up the correct docker registry for image URI. This is then passed as a parameter for sagmaker.yaml to create the Model resource.

On completing merge, please update the following s3 resource https://s3.amazonaws.com/sagemaker-pipeline-src/CodePipeline/pipeline.yaml referred in the Readme to be the latest version of the pipeline.yaml in this repo.

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