This may not be the right place to ask this question. I asked a more generic question about how to do predictive modeling on hadoop and nobody answered. It perplexes me as well how to take these machine learning concepts and implement them in a Map Reduce paradigm.
Adaryl "Bob" Wakefield, MBA Principal Mass Street Analytics 913.938.6685 www.linkedin.com/in/bobwakefieldmba From: unmesha sreeveni Sent: Wednesday, July 30, 2014 1:27 AM To: User Hadoop Subject: PCA in HAdoop MapReduce I am little bit confused in doing PCA I am trying it myown and I refered http://nyx-www.informatik.uni-bremen.de/664/1/smith_tr_02.pdf 1.MR job to calculate mean 2.MR Job to substract mean from the input data(Data Adjust in .pdf) 3.MR job to find covarience and Calculated the eigenvectors and eigenvalues of the covariance matrix 4.--- Now need to transform my data Step 5: Deriving the new data set in pdf. It is matrix multiplication ie MR3(step 3) * MR2(Step 2) Matrix multiplication can be done in using a seperate mapreduce job but i have MR2 data but I need to transpose MR3 data ie Final data = RowFeatureVector(MR3) * Row DataAdjust(MR2) WHile doing transpose in another MR,we will not be sure about the order of elements they come from mapper How will we achieve the above transpose. Please correct me if I am wrong in PCA concepts. -- Thanks & Regards Unmesha Sreeveni U.B Hadoop, Bigdata Developer Center for Cyber Security | Amrita Vishwa Vidyapeetham http://www.unmeshasreeveni.blogspot.in/
