Parallelizing Machine Learning Algorithms

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In R, we can run machine learning algorithms in parallel model with doParallel and caret packages.
ctrl <- trainControl(method="repeatedcv", repeats=5, classProbs=TRUE)
#Run model in parallel
cl <- makeCluster(detectCores())

model = train(Species~., data = iris, method='rf', trControl= ctrl)

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Deepanshu founded ListenData with a simple objective - Make analytics easy to understand and follow. He has close to 7 years of experience in data science and predictive modeling. During his tenure, he has worked with global clients in various domains like retail and commercial banking, Telecom, HR and Automotive.

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