I have python script.py, which is a KNN machine learning algorithm writer from scratch.
Just using pandas and numpy libraries.
Script contains all the functions.
It takes some arguments such as train_data, test_data, k_val etc. And I want to run this in the sagemaker.
Looking for a solution how I can put this script in docker image and invoke it in sagemaker from ECR container.
How to run python script (which has some functions written in it) in sagemaker?
1.3k views Asked by Harsh Patel At
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What you need is called SageMaker BYOC (Bring Your Own Container).
SageMaker has pre-built containers for most of the ML algorithms, however for custom algorithms and custom code it provides support for creating custom containers.
They are basically of 2 types: If your goal is to train a model, run validation & save the model file.
-Training ContainerIf your goal is to use an existing model for inference, with SageMaker Endpoint Hosting or Batch Transform.
-Serving ContainerRefer to this repository for detailed steps. The files
predictor.py&serveare the most important, which contain your custom code.References: Link1 Link2