What is SimpleML?

The SimpleML project provides implementations of basic machine learning algorithms in C#, and serves as a real-world use case of the MMF framework. The implementations follow the examples given in the Coursera Machine Learning course instructed by Andrew Ng. In SimpleML, MMF is used to combine these example algorithms into different permutations of machine learning workflows.

Goals of SimpleML

It should be noted that the goals of the SimpleML project were not to provide highly optimized and sophisticated models. There are several significant performance improvements which could be made by relatively simple code changes (many of these are noted in the code comments). Rather the goals of the project were to...

  • Provide robust and easy to understand examples of machine learning models
  • Provide a thorough, working use case example of the MMF framework

Continue to Basic Workflow Examples...