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aws-solutions-library-samples / guidance-for-training-an-aws-deepracer-model-using-amazon-sagemaker

DeepRacer workshop content. This Guidance demonstrates how software developers can use an Amazon SageMaker Notebook instance to directly train and evaluate AWS DeepRacer models with full control
https://aws.amazon.com/solutions/guidance/training-an-aws-deepracer-model-using-amazon-sagemaker/
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Enhance log analysis #32

Closed breadcentric closed 2 years ago

breadcentric commented 5 years ago

Issue #, if available: None

Description of changes: I have enhanced the log analysis and prepared a way to efficiently evaluate a number of reward functions before starting the training, with use of logs from previous training sessions. I have described the changes here: https://codelikeamother.uk/analyzing-the-aws-deepracer-logs-my-way I have also added track data for New York.

By submitting this pull request, I confirm that you can use, modify, copy, and redistribute this contribution, under the terms of your choice.

breadcentric commented 5 years ago

Actually, could we put it on hold for a short while? I found an improvement(plotting speed up) and a fix(around timestamp in evaluation) that I would like to add. Code is ready, but I need to retest at a humane hour.

breadcentric commented 5 years ago

I think it's ready now.

SanjuMLGeek commented 4 years ago

Thanks