Open Sourcing ml-ease by Deepak Agarwal.
From the post:
LinkedIn data science and engineering is happy to release the first version of ml-ease, an open-source large scale machine learning library. ml-ease supports model fitting/training on a single machine, a Hadoop cluster and a Spark cluster with emphasis on scalability, speed, and ease-of-use. ml-ease is a useful tool for developers working on big data machine learning applications, and we’re looking forward to feedback from the open-source community. ml-ease currently supports ADMM logistic regression for binary response prediction with L1 and L2 regularization on Hadoop clusters.
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See Deepak’s post for more details and news of future machine learning algorithms to be released!