*Introduction* The Google Prediction API provides pattern-matching and machine learning capabilities. Given a set of data examples to train against, you can create applications that can perform the following tasks:
* Given a user's past viewing habits, predict what other movies or products a user might like. * Categorize emails as spam or non-spam. * Analyze posted comments about your product to determine whether they have a positive or negative tone. * Guess how much a user might spend on a given day, given his spending history *API (REST)* https://developers.google.com/prediction/docs/reference/v1.6/ *GooglePrediction Connector Summary* • Connector Name: googleprediction-connector-1.0.0 • Version: 1.0.0 • Technology: REST *Authentication* Google Prediction API uses OAuth2/token-Based authentication. *Methods Selected* *Hostedmodels* predictHostedModel - To do a prediction against a hosted model *Trainedmodels* analyzeTrainedModel - Get analysis of the model and the data the model was trained on. deleteTrainedModel - Delete a trained model. getTrainedModel - Check training status of your model. insertTrainedModel - Train a Prediction API model. listTrainedModels - List available models. predictTrainedModel - Submit model id and request a prediction. updateTrainedModel - Add new data to a trained model. *Methods Not Selected* getTrainedModel - The functionality of this method can also be achieved by listTrainedModels method. Hence this is not considered for v1.0. Thanks & Regards Rasika -- View this message in context: http://wso2-oxygen-tank.10903.n7.nabble.com/Connector-GooglePrediction-tp97528.html Sent from the WSO2 Architecture mailing list archive at Nabble.com. _______________________________________________ Architecture mailing list Architecture@wso2.org https://mail.wso2.org/cgi-bin/mailman/listinfo/architecture
