
Amazon SageMaker is a fully-managed platform that enables developers and data scientists to quickly and easily build, train, and deploy machine learning models at any scale. With Amazon SageMaker, all the barriers and complexity that typically slow down developers who want to use machine learning are removed. The service includes models that can be used together or independently to build, train, and deploy your machine learning models.
Product Overview
Gradient Boosting Machine (for Regression and Classification) is a forward learning ensemble method. The guiding heuristic is that good predictive results can be obtained through increasingly refined approximations. H2O’s GBM sequentially builds regression trees on all the features of the dataset in a fully distributed way - each tree is built in parallel.
Key Data
Version | |
By | H2O.ai |
Categories | |
Type | Algorithm |
Fulfillment Methods | Amazon SageMaker
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Usage Information
Fulfillment Methods
Amazon SageMaker
End User License Agreement
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Support Information
AWS Infrastructure
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Refund Policy
There is no refund policy as the algorithm is offered for free