Important changes to the Web Service publishing process in Machine Learning
Posted on 11 February 2015
With the latest release of Azure Machine Learning, we have updated and simplified the web service publishing workflow. With this change, users must generate a Scoring Experiment from a Training Experiment before the web service can be published. We automated the steps for creating a Scoring Experiment by adding web service input and output modules. We also automated saving the Trained Model so you no longer need to manually save a Trained Model and add it to a Scoring Experiment. For more information, visit: Changes to the web service publishing process (Operationalization).