Amazon SageMaker Canvas announces up to 3x faster ML model training time
Amazon SageMaker Canvas now delivers up to 3x faster machine learning (ML) model training time, enabling rapid prototyping and faster time-to-value for business outcomes. SageMaker Canvas is a visual interface that enables business analysts to generate accurate ML predictions on their own — without requiring any machine learning experience or having to write a single line of code.
Amazon SageMaker Canvas now delivers up to 3x faster machine learning (ML) model training time, enabling rapid prototyping and faster time-to-value for business outcomes. SageMaker Canvas is a visual interface that enables business analysts to generate accurate ML predictions on their own — without requiring any machine learning experience or having to write a single line of code.
With SageMaker Canvas, you can build models using Quick build that focuses on speed or Standard build that focuses on accuracy. Both these methods give you a fully trained model with feature importance, explaining the impact of individual features in your data on the outcome of your model.
With improved performance optimizations, quick build models are now up to 3x times faster and standard build models are up to 2x times faster than previous runs. With faster model building times, you can now generate a quick build model in ~7 mins and a standard build model in ~75 mins for data sets up to 100MB in size. Accelerated model training times now enable you to prototype and experiment rapidly, resulting in quicker time to value for generating predictions using SageMaker Canvas.
Faster training is now available in all AWS regions where Amazon SageMaker Canvas is supported today. To learn more, please see the Canvas product page.