Parallelizing Machine Learning Algorithms

In R, we can run machine learning algorithms in parallel model with doParallel and caret packages.
library(caret)
library(doParallel)
set.seed(1)
ctrl <- trainControl(method="repeatedcv", repeats=5, classProbs=TRUE)
#Run model in parallel
cl <- makeCluster(detectCores())
registerDoParallel(cl)
getDoParWorkers()

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 over 8 years of experience in data science. During his tenure, he has worked with global clients in various domains like Banking, Insurance, Telecom and Human Resource.

1 Response to "Parallelizing Machine Learning Algorithms"
  1. Why do we need to run parallel algorithm?

    ReplyDelete

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