Disclaimer: This FAQ was developed to complement and provide more information about the end-of-life notification for Google Cloud Prediction API. If you have further questions, see Support, or contact your Account Manager to learn more about the most recent release of Cloud Machine Learning Engine.
Frequently Asked Questions
Q: What exactly does Cloud Prediction API end-of-life mean?
A: End-of-life means that after May 1st, 2018, Google Cloud Platform will no longer be providing technical support, additional releases, or any other support for that version of the software and users won't be able to access Cloud Prediction API.
Q: Why is Google Cloud Platform no longer supporting Cloud Prediction API?
Q: When will Google Cloud discontinue customer support for Cloud Prediction API?
A: Cloud Prediction API will be supported until April 30th, 2018. From May 1st, 2018, any applications using Prediction API will not be able to access the prediction or training services.
Q: What will happen to my applications using Cloud Prediction API after April 30th, 2018?
A: From May 1st, 2018, any applications using Prediction API will not be able to access the prediction or training services.
Q: What product can I use instead of Cloud Prediction API?
A: If you want to replace an existing Prediction API model, contact Google Cloud Support to discuss how to create a new solution using Cloud Machine Learning Engine. Otherwise, talk to your sales representative about Google Cloud Platform options, or read more about Cloud Machine Learning Engine.
Q: What is Cloud Machine Learning Engine?
A: Cloud Machine Learning Engine brings the power and flexibility of TensorFlow to the cloud. You can use its components to select and extract features from your data, train your machine learning models, and get predictions using the managed resources of Google Cloud Platform.
Q: What are the benefits of migrating from Cloud Prediction API to Cloud Machine Learning Engine?
A: Cloud Machine Learning Engine makes it easy for you to build sophisticated, large scale machine learning models that cover a broad set of scenarios from building sophisticated regression models to image classification. It is portable, fully managed, and integrated with other Google Cloud Platform products such as Google Cloud Storage, Google Cloud Dataflow, and Google Cloud Datalab so you can easily train your models.
Q: What will happen to my existing models and associated data?
A: Your existing models and data will be deleted permanently after April 30, 2018.
Q: How can I keep my existing models and associated data?
A: You must recreate your existing Prediction API models. Contact Google Cloud Support to discuss how to create a new solution that replaces your existing Prediction API models using other platforms, such as Cloud Machine Learning Engine.
Q: Where can I learn more about Cloud Machine Learning Engine?
Q: Will there be a price increase if I decide to migrate to Cloud Machine Learning Engine?
A: You can use the Google Cloud pricing calculator to get a quick estimate of what your usage will cost on Google Cloud Platform.
Q: Whom should I contact if I have more questions?