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.
#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="firstname.lastname@example.org", 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
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