Build and evaluate machine learning models with advanced configurations using the SageMaker Canvas model leaderboard
CAT
1 min read
Amazon SageMaker Canvas is a no-code workspace that enables analysts and citizen data scientists to generate accurate machine learning (ML) predictions for their business needs. Starting today, SageMaker Canvas supports advanced model build configurations such as selecting a training method (ensemble or hyperparameter optimization) and algorithms, customizing the training and validation data split ratio, and […]
Originally appeared here:
Build and evaluate machine learning models with advanced configurations using the SageMaker Canvas model leaderboard
