An R package for manipulating predictive models.
You need the devtools package to be installed before, then in R:
devtools::install_github('geraudster/modelUtils')
Generate a model:
library(modelUtils)
data(iris)
inTrain <- createDataPartition(y=iris$Species, p=0.80, list=FALSE)
training <- na.omit(iris[inTrain,])
testing <- na.omit(iris[-inTrain,])
model <- testModel(Species ~ ., training, testing, 'Species', 'rpart')
Then to write the predictions:
submission <- writeSubmission(model, data.frame(id = rownames(testing), testing), 'id', 'Species', 'test')
Will create a file with:
id,Species
14,setosa
21,setosa
30,setosa
31,setosa
32,setosa
...
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