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zachmayer/Run.R

Created August 10, 2011 17:59
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R googlepredictionapi
Raw
install.R
install.packages("googlepredictionapi_0.1.tar.gz", repos=NULL, type="source")
Raw
Run.R
## Load googlepredictionapi and dependent libraries
library(rjson)
library(RCurl)
library(googlepredictionapi)
#Save dataframe to a file, upload to google storage, and train a model
write.csv(iris,'iris.csv')
model <- PredictionApiTrain(data='iris.csv', remote.file="gs://rdata/iris")
#Summarize model and predict for new data
summary(model)
predict(model, iris[10,])
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