Is there a way to parallelize multiple ML algorithms in Spark. My use case is something like this: A) Run multiple machine learning algorithm (Naive Bayes, ANN, Random Forest, etc.) in parallel. 1) Validate each algorithm using 10-fold cross-validation B) Feed the output of step A) in second layer machine learning algorithm. My question is: Can we run multiple machine learning algorithm in step A in parallel? Can we do cross-validation in parallel? Like, run 10 iterations of Naive Bayes training in parallel?
I was not able to find any way to run the different algorithm in parallel. And it seems cross-validation also can not be done in parallel. I appreciate any suggestion to parallelize this use case. -- Sent from: http://apache-spark-user-list.1001560.n3.nabble.com/ --------------------------------------------------------------------- To unsubscribe e-mail: user-unsubscr...@spark.apache.org
