14 DAY TRIAL // Google's Prediction API, as the name suggests, aims to provide developers with a means to use Google's computing power and its smart algorithms to make predictions about data. Google is now graduating the API from Code Labs and is also providing an update with a couple of new features that should be interesting to developers.
Google debuted the API at this year's Google I/O developer conference. At the time, it was still experimental, so it was housed under Code Labs.
But Google is looking to focus more on actual working products, which is why it shut down Google Labs in the first place, so it has graduated quite a few things out of Code Labs recently.
"Since the general availability launch of the Prediction API this year at Google I/O, we have been working hard to give every developer access to machine learning in the cloud to build smarter apps," Zachary Goldberg, Product Manager at Google, wrote.
"We’ve also been working on adding new features, accuracy improvements, and feedback capability to the API. Today we take another step by announcing Prediction v1.4," he announced.
"With the launch of this version, Prediction is graduating from Google Code Labs, reflecting Google’s commitment to the API’s development and stability," he said.
The latest update also comes with a couple of new features. Data Anomaly Analysis, as you can probably guess, is used to check the provided data for things that do not match to ensure that the input data is of high enough quality to provide meaningful results.
Google's Prediction API 1.4 also adds support for the PMML standard and developers can import existing processed data for new analysis and processing.
Google has been working on moving products out of the experimental phase into the production phase. Along with the Predictions API, Google also graduated Storage for Developers, now called Cloud Storage.
