Open Sourcing ml-ease

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.

See Deepak’s post for more details and news of future machine learning algorithms to be released!

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