Ravi, Good points.
On Sun, Mar 2, 2014 at 12:38 AM, Ravi Mummulla <ravi.mummu...@gmail.com>wrote: > - Natively support Windows (guidance, etc. No documentation exists today, > for instance) > There is a bit of demand for that. - Faster time to first application (from discovery to first application > currently takes a non-trivial amount of effort; how can we lower the bar > and reduce the friction for adoption?) > There is huge evidence that this is important. > - Better documenting use cases with working samples/examples > (Documentation > on https://mahout.apache.org/users/basics/algorithms.html is spread out > and > there is too much focus on algorithms as opposed to use cases - this is an > adoption blocker) > This is also important. > - Uniformity of the API set across all algorithms (are we providing the > same experience across all APIs?) > And many people have been tripped up by this. > - Measuring/publishing scalability metrics of various algorithms (why > would > we want users to adopt Mahout vs. other frameworks for ML at scale?) > I don't see this as important as some of your other points, but is still useful.
