Programming Fusions with the BigML API

As part of our Fusions release, we have already demonstrated a use case and walked through an example using the BigML Dashboard. Our fourth of six blog posts on Fusions will demonstrate how to utilize Fusions by directly calling the BigML REST API. As a reminder, Fusions can be used for both classification and regression supervised Machine Learning problems, and function by aggregating the results of multiple models (decision trees, ensembles, logistic regressions, and/or deepnets), often achieving better performance as result. Using the BigML API, requires that you first set up the correct environment variables. Additionally, the BIGML_API_KEY can be found on the Dashboard by clicking on your username to pull up the account page, and then clicking on'API Key'.