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R Wrapper for Google Prediction API
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DESCRIPTION
NAMESPACE
README.textile

README.textile

R wrapper for working with Google Prediction API

This package consists in a bunch of functions allowing the user to test Google Prediction API from R.
It requires the user to have access to both Google Storage for Developers and Google Prediction API:
see here and here for details.

Example usage:

#This example requires you had previously created a bucket named data_language on your Google Storage and you had uploaded a CSV file named language_id.txt (your data) into this bucket - see for details 
library(predictionapirwrapper)
## The first stage of using the API is to acquire an authorization token. This can be done via this command:
token <- GetAuthToken(email="user@gmail.com", passwd="mypassword")
## This command begins training on data that has been previously uploaded to Google Storage.
GoogleTrain(auth_token=token$Auth, mybucket="data_languages", mydata="language_id.txt")
## Once training has started, this command checks the status of the training job and gets meta-information on the model (if available).
GoogleTrainCheck(auth_token=token$Auth, mybucket="data_languages", mydata="language_id.txt")
## When training has finished, this command issues a request for a new prediction from the model. 
GooglePredict(auth_token=token$Auth, mybucket="data_languages", mydata="language_id.txt", myinput="La idioma mas fina")
## remove Trained Model
DeleteTrainedModel(auth_token=token$Auth, mybucket="data_languages", mydata="language_id.txt")

Copyright © 2010 Paolo Sonego

Permission is hereby granted, free of charge, to any person
obtaining a copy of this software and associated documentation
files (the “Software”), to deal in the Software without
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copies of the Software, and to permit persons to whom the
Software is furnished to do so, subject to the following
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The above copyright notice and this permission notice shall be
included in all copies or substantial portions of the Software.

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