Google Prediction API: faster, easier to use, and more accurate
December 22nd, 2011 | Published in Google Code, Google Apps
By Marc Cohen, Developer Relations
This holiday season, the Google Prediction API Team is bringing you four presents and, thanks to the joys of cloud computing, no reindeer are required for delivery. Here’s what you’ve already received:
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Faster on-ramp: We’ve made it easier to get started by enabling you to create an empty model (by sending a
trainedmodels.insertrequest with nostorageDataLocationspecified) and add training data using thetrainedmodels.updatemethod. This change allows you to submit your model contents without needing to stage the data in Google Cloud Storage. - Improved updates: The algorithms used to implement model updates (adding additional data to existing models) have been modified to work faster than ever.
- More classification algorithms: We’ve increased the number of classification algorithms used to build predictive models, resulting in across-the-board improvements in accuracy.
- Integration with Google Apps Script: Prediction services are now available as part of Google Apps Script, which means you can integrate prediction services with Google Docs, Google Maps, Gmail, and other great Google products.
Happy Holidays from the Google Prediction API Team. We’re looking forward to bringing you more exciting features in 2012!
Marc Cohen is a member of Google’s Developer Relations Team in Seattle. When not teaching Python programming and listening to indie rock music, he enjoys using the Google Prediction API to peer into the future.
Posted by Scott Knaster, Editor