The Siemens Community Catalyst program was co-created with our community to acknowledge technology leaders who consistently contribute to the Siemens Community. Nominations are accepted on a rolling basis.
I need to know what kind of model i can use when the dependent variable is continuous and independent variables are binary
@balaji_sundaram did you visit http://mod.rapidminer.com/ ?
Yes, but that doesn't talk about time series.
I need to know what kind of model I can use when the dependent variable is continuous and independent variables are binary. The dependent variable is sales and independent variables are months, year and other binary value variables
Hi,
you probably want to window your time series data set first. Afterwards you join the correct labels to predict. That means you have numerical regular attributes (aka continuous depended variables) and a binominal label (aka binary independend variable).
Most algorithm can do this. E.g. SVM, Deep Learning, Random Forest, GBT.
Best,
Martin
Join us for a community conversation on how High-Performance Computing (HPC) and Simcenter PSIM work together to meet the increasing demands of modern power electronics simulation. During this one-hour technical session, you'll discover how leveraging HPC can speed up simulations, improve scalability, and empower engineers…
Join us for a community conversation on accelerating your motor simulation workflow with Simcenter Simlab. In this beginner-friendly session, we'll introduce the platform's automated model-building capabilities and show how easy it is to set up your first electric motor analysis. You'll see the basic steps of geometry…
Join us for a Community Conversation where we'll discuss practical approaches to analyzing complex electromagnetic models using hybrid solver techniques. This session will provide a general overview of how different computational methods can be combined within a single simulation to address models containing varied…
