Another tool has been added to your BigML repertoire! Time Series, the latest BigML resource was released on July 20. It can be used to analyze time-based data when historical patterns can explain future behavior. Time Series is commonly used for predicting sales, stock prices, website traffic, weather forecasts, production and inventory analysis, and many other use cases. Time Series is available from the BigML Dashboard, the API, and WhizzML for its automation. Watch the webinar video and check out the dedicated release page to learn more.
In addition to Time Series, we brought three new capabilities to the BigML Dashboard. BigML now provides a visual way to compare multiple evaluations of your supervised learning models, making it easier to decide which one performs better. A new Dashboard visualization of evaluation curves for classification models was added, which includes new performance metrics to assess your classification models. Finally, BigML added resource configuration information to make it simpler and faster for you to find the right resources at a glance among many that belong to the same project. We’d love to hear your feedback about these latest features. Feel free to contact us anytime at firstname.lastname@example.org.