In case you must write c# code, you can call python code from c# or use IronPython. :)
On Mon, Dec 15, 2014 at 12:04 PM, Xiangrui Meng <men...@gmail.com> wrote: > > On Sun, Dec 14, 2014 at 3:06 AM, Saurabh Agrawal > <saurabh.agra...@markit.com> wrote: > > > > > > Hi, > > > > > > > > I am a new bee in spark and scala world > > > > > > > > I have been trying to implement Collaborative filtering using MlLib > supplied > > out of the box with Spark and Scala > > > > > > > > I have 2 problems > > > > > > > > 1. The best model was trained with rank = 20 and lambda = 5.0, and > > numIter = 10, and its RMSE on the test set is 25.718710831912485. The > best > > model improves the baseline by 18.29%. Is there a scientific way in which > > RMSE could be brought down? What is a descent acceptable value for RMSE? > > > > The grid search approach used in the AMPCamp tutorial is pretty > standard. Whether an RMSE is good or not really depends on your > dataset. > > > 2. I picked up the Collaborative filtering algorithm from > > > http://ampcamp.berkeley.edu/5/exercises/movie-recommendation-with-mllib.html > > and executed the given code with my dataset. Now, I want to build a > desktop > > application around it. > > > > a. What is the best language to do this Java/ Scala? Any > possibility > > to do this using C#? > > > > We support Java/Scala/Python. Start with the one your are most > familiar with. C# is not supported. > > > b. Can somebody please share any relevant documents/ source or any > > helper links to help me get started on this? > > > > For ALS, you can check the API documentation. > > > > > > > Your help is greatly appreciated > > > > > > > > Thanks!! > > > > > > > > Regards, > > > > Saurabh Agrawal > > > > > > ________________________________ > > This e-mail, including accompanying communications and attachments, is > > strictly confidential and only for the intended recipient. Any retention, > > use or disclosure not expressly authorised by Markit is prohibited. This > > email is subject to all waivers and other terms at the following link: > > http://www.markit.com/en/about/legal/email-disclaimer.page > > > > Please visit http://www.markit.com/en/about/contact/contact-us.page? for > > contact information on our offices worldwide. > > > > MarkitSERV Limited has its registered office located at Level 4, > Ropemaker > > Place, 25 Ropemaker Street, London, EC2Y 9LY and is authorized and > regulated > > by the Financial Conduct Authority with registration number 207294 > > --------------------------------------------------------------------- > To unsubscribe, e-mail: user-unsubscr...@spark.apache.org > For additional commands, e-mail: user-h...@spark.apache.org > > -- Abhi Basu
