Powering the Next Wave of Intelligent Devices With Machine Learning - DZone AI

In the first part of this series, we introduced the BigML Node-RED bindings and showed how to install and use them to create a simple BigML-powered flow in Node-RED. In this second installment, we are going to create a second flow that will give us the opportunity to consider, in greater detail, important concepts such as input-output matching and node reification. As a second example of how you can use BigML with Node-RED, let's build another flow that will use the ensemble created in our first installment to make a prediction each time a new event comes in. One great way to identify a BigML resource is through a tag you assign it at creation time. The tag could represent what the ensemble is used for, or any other kind of information that can help you distinguish it from other resources of the same type in your BigML account.