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 10 years of experience in data science. During his tenure, he has worked with global clients in various domains like Banking, Insurance, Private Equity, 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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