I started experimenting with some nice ways to enable data scientists to get started with SystemML with the minimum setup and a pleasant user experience.
Following the guide published in the SystemML project documentation page [1], I created a docker image containing the necessary infrastructure for running SystemML in a cluster mode, and also installed and configured Zeppelin with SystemML and the sample notebook available. Please see more detailed instructions to use it at https://github.com/lresende/docker-systemml-notebook If people start to find this very useful we could move this to SystemML project itself and start making more scenarios available as sample Notebooks [1] http://apache.github.io/incubator-systemml/spark-mlcontext-programming-guide.html#zeppelin-notebook-example---linear-regression-algorithm [2] https://github.com/lresende/docker-systemml-notebook -- Luciano Resende http://people.apache.org/~lresende http://twitter.com/lresende1975 http://lresende.blogspot.com/
