TL;DR The SageMaker training job with customized training script in frameworks such as TensorFlow/PyTorch/scikit-learn can also be triggered by pure SageMaker API, by configuring the request body fields: HyperParameters.sagemaker_submit_directory: the S3 location of the uploaded source.tar.gz file, which tars the training script. HyperParameters.sagemaker_program: the name of the entry point file AlgorithmSpecification.TrainingImage…

Understanding the data flow of an Amazon SageMaker training job, and learning how to set up a TensorBoard on a SageMaker Pytorch training job by examples — TL;DR In this article, we show you how to use TensorBoard in an Amazon SageMaker PyTorch training job in this blog. The steps are: Install TensorBoard at SageMaker training job runtime as here Configure tensorboard_output_config parameter when initializing PyTorch SageMaker estimator as here

TL;DR or Executive Summary Industry code organizes companies into industrial groupings based on similar production or behavior. It is an important factor in banking and financial institutions data. However, since industry code is a kind of category code, it is not ideal for Machine Learning numerical computation. In this blog, we use a Siamese…