examples/src/main/r/ml/svmLinear.R

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# To run this example use
# ./bin/spark-submit examples/src/main/r/ml/svmLinear.R

# Load SparkR library into your R session
library(SparkR)

# Initialize SparkSession
sparkR.session(appName = "SparkR-ML-svmLinear-example")

# $example on$
# load training data
t <- as.data.frame(Titanic)
training <- createDataFrame(t)

# fit Linear SVM model
model <- spark.svmLinear(training,  Survived ~ ., regParam = 0.01, maxIter = 10)

# Model summary
summary(model)

# Prediction
prediction <- predict(model, training)
showDF(prediction)
# $example off$
sparkR.session.stop()