Metrics Scripts Transportation 
AWS Machine Learning
NOVEMBER 14, 2024
The DS uses SageMaker Training jobs to generate metrics captured by , selects a candidate model, and registers the model version inside the shared model group in their local model registry. Optionally, this model group can also be shared with their test and production accounts if local account access to model versions is needed.
AWS Machine Learning
MARCH 2, 2023
Set up an EKS cluster with a scalable file system One way to get started with Amazon EKS is aws-do-eks , which is an open-source project offering easy-to-use and configurable scripts and tools to provision EKS clusters and run distributed training jobs. script exists in a Docker image that copies data from Amazon S3 to Amazon EFS.
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AWS Machine Learning
OCTOBER 27, 2022
The quick way to identify a CPU bottleneck is to monitor CPU and GPU utilization metrics for SageMaker training jobs in Amazon CloudWatch. You can access these views from the AWS Management Console within the training job page’s instance metrics hyperlink. Pick the relevant metrics and switch from 5-minute to 1-minute resolution.
AWS Machine Learning
MAY 9, 2023
Proteins drive many biological processes, such as enzyme activity, molecular transport, and cellular support. This post provides an example Jupyter notebook and related scripts in the following GitHub repository. script to load the model, run the prediction, and format the output. CPU-optimized image on an ml.r5.xlarge
AWS Machine Learning
JUNE 24, 2022
Once installed, it’s as simple as adding a few lines of code to your training script and you’re ready to log experiments. Batch size has strong positive correlations with the metrics. The ResNet backbones result in the best overall performance with respect to the metrics. Use Weights & Biases in SageMaker Studio.
AWS Machine Learning
MARCH 6, 2023
Check Amazon S3 metrics in Amazon CloudWatch to track request rates. Associated to EFA, AWS has introduced the Scalable Reliable Datagram (SRD), an ethernet-based transport inspired by the InfiniBand Reliable Datagram , evolved with relaxed packet ordering constraint. Logs include your training script stdout and stderr.
AWS Machine Learning
JUNE 28, 2022
Amazon Forecast is a time-series forecasting service based on machine learning (ML) and built for business metrics analysis. For HPO, we use the RRSE as the evaluation metric for all the three algorithms. It then chooses the hyperparameter values that result in a model that performs the best, as measured by a metric that you choose.
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