keystone
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KMeans
Call into MLlib
Hi, I'm getting confused as to the relationship between MLLib and Keystone?
KeystoneML is a project designed to help people construct end-to-end machine learning pipelines at scale (e.g. do multiple levels of feature extraction before calling into a supervised learning algorithm) while MLlib is a collection of well-tested machine learning algorithms that are optimized to run fast on Spark. The projects are complimentary and we call into MLlib where appropriate.
KeystoneML is a research project to help us understand the right way to build systems that support large scale machine learning - it's not yet "production ready" but we are happy to help users who are interested in trying it out!