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. 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.
With the launch of this version, Prediction is graduating from Google Code Labs, reflecting
Google’s commitment to the API’s development and stability. Version 1.4 also includes two new
features:
One of the hardest parts of building
an accurate predictive model is gathering and curating a high quality data set. With
Prediction v1.4, we are providing a feature to help you identify problems with your data that
we notice during the training process. This feedback makes it easier to build accurate
predictive models with proper data.
PMML has become the de facto industry standard for
transmitting predictive models and model data between systems. As of v1.4, the Google
Prediction API can programmatically accept your PMML for data transformations and
preprocessing.
The PMML spec is vast and covers many,
many features. You can find more details about the specific features that the Google
Prediction API supports here.
We’re looking
forward to seeing what you create with these new capabilities!
Feel
free to find us and ask questions about these new features on our discussion group or
submit feedback via our feedback
form.
Zachary Goldberg is
Product Manager for the Google Prediction API. He has a strange fascination with the Higgs
Boson.
