Hence the previously available implementation of Google Prediction API for R has stopped working :(
I've spent some time and adapted it to new version of the API as well as made some small extensions and modification for Windows/R 2.13.0.
You can find the source code and R package at: http://code.google.com/p/r-google-prediction-api-v12/
Sample usage of the package:
# install package install.packages("googlepredictionapi_0.12.tar.gz", repos=NULL, type="source") library(rjson) library(RCurl) library(googlepredictionapi) #--- initialize # turn off SSL check - see: http://code.google.com/p/r-google-analytics/issues/detail?id=1#c5 & http://www.omegahat.org/RCurl/FAQ.html options(RCurlOptions = list(capath = system.file("CurlSSL", "cacert.pem", package = "RCurl"), ssl.verifypeer = FALSE)) # put your own email, password and API key below myEmail <- "***" myPassword <- "***" myAPIkey <- "***" # put path to python.exe on your computer and path do gsutil directory myPython <- "c:/Python27/python.exe" myGSUtilPath <- "c:/gsutil/" myVerbose <- FALSE #--- work # upload local CVS file to Google Storage and initiate training; local file must be in R working directory my.model <- PredictionApiTrain(data="./language_id_pl.txt",remote.file="gs://prediction_example/prediction_models/languages") # alternative: initiate training of a model already uploaded to Google Storage my.model <- PredictionApiTrain(data="gs://prediction_example/prediction_models/languages",tillDone=FALSE) # tillDone - repeat checking till model is trained # check whether model is trained; if tillDone=TRUE was set above, there is no need for that result <- PredictionApiCheckTrainingStatus("prediction_example","prediction_models/languages",verbose=TRUE) # you can adapt the result returned by PredictionApiCheckTrainingStatus to 'predictionapimodel' class used in predictions my.model <- WrapModel(result) summary(my.model) # check new data against model (I have added some Polish-language texts to the Google Prediction API 'Hello World' example) predict(my.model,"'Prezydent Obama spotkał się z parlamentarzystami'") # please note, this package returns all labels and scores for a given data in a format: #  "Polish" "French" "Spanish" "English" "0.36195" "0.26396" "0.260067" "0.114022" # some other prediction request predict(my.model,"'This is a test'") # list objects in a Google Storage bucket PredictionApiListObjects("prediction_example","prediction_models/languages",verbose=TRUE)