Hello again! Trevor, I maybe a bit late in asking this but I just wanted to confirm Apache Software Foundation's participation in the Google Summer of Code '17. I am aware that the results of the organizations are not out, but just wanted to know if ASF has applied for participation.
Thanks, Aditya On Sat, Feb 25, 2017 at 3:06 PM, Aditya <adityasarma...@gmail.com> wrote: > Hello Trevor, > > I have gone through the two links that you sent me. Although I am not > familiar with scala, I was able to figure out that the files Fitter.scala, > Model.scala, UnsupervisedFitter.scala contain traits (which are similar to > interfaces in Java) and the LinearRegressionModel.scala contains the core > code for regression. I wasn't able to understand specific syntactic terms > like *trait LinearRegressionModel[K] extends RegressionModel[K]*, what is > K here? > > With respect to my knowledge in Scala, I've never had the opportunity to > learn / work in Scala but I got a sense that it's model is similar to that > of Java. Having worked in Java, I could see some basic similarities in both > the languages' models. I've read that Scala is a language where OOP meets > the functional paradigm. > > Also, Could you let me know where I could find the list of algorithms that > Mahout implements along with its documentation and what algorithms are > planned to be implemented soon? > The main web page just lists down the names. > > Thanks, > Aditya > > > On Thu, Feb 23, 2017 at 6:57 PM, Trevor Grant <trevor.d.gr...@gmail.com> > wrote: > >> Hey Aditya- >> >> First of all, welcome to the community. We'd love to have you help >> contribute. >> >> The new algorithms framework is certainly a 'target rich environment'. >> >> Since you already are familiar with DBSCAN, why not start there? >> >> If you check out: >> https://github.com/apache/mahout/tree/master/math-scala/src/ >> main/scala/org/apache/mahout/math/algorithms >> >> You'll see in general what our framework looks like.. >> >> You'll need to create a ClassificationModel trait similar to: >> https://github.com/apache/mahout/blob/master/math-scala/src/ >> main/scala/org/apache/mahout/math/algorithms/regression/ >> RegressorModel.scala >> >> Then you'll extend the the ClassificationModel with DBSCAN (or possibly >> some intermediate trait, as LinearRegressionModel does before OLS). >> >> Perhaps I should have started by asking- how well do you know scala? >> >> Anyway, those are good places to get started! Let me know if I can help. >> >> tg >> >> Trevor Grant >> Data Scientist >> https://github.com/rawkintrevo >> http://stackexchange.com/users/3002022/rawkintrevo >> http://trevorgrant.org >> >> *"Fortunate is he, who is able to know the causes of things." -Virgil* >> >> >> On Wed, Feb 22, 2017 at 4:23 PM, Aditya <adityasarma...@gmail.com> wrote: >> >> > Hello everyone! >> > >> > I'm a senior year computer science student from Birla Institute of >> > Technology and Science, India. I have experience in fields like Data >> Mining >> > and Machine Learning. Apart from doing basic coursework which included >> Data >> > Mining, Parallel Computing, and Machine Learning I have also worked on >> > research projects where I worked on building scalable DBSCAN like >> > clustering algorithms. >> > >> > I have gone through the Apache Mahout website and was wondering if I >> > could *contribute >> > to Mahout in terms of algorithm **development / improvising existing >> > algorithms.* >> > >> > I would be grateful if you could provide me with a starting point, from >> > where I can pick up and understand the Mahout ecosystem. I have no >> previous >> > experience in working with Apache Mahout or Spark but I have worked with >> > the Map reduce model before (but haven't used Hadoop) >> > >> > I wish to work full time during summer and take part in the Google >> Summer >> > of Code 2017 program by contributing to Apache Mahout. >> > >> > >> > Awaiting your replies! >> > >> > Cheers! >> > Aditya >> > >> > >
