This past week I finished lab 4a from the Edx labs. In the lab, I learned how to construct and evaluate regression machine learning models using Azure ML and R.
More specifically, I trained and evaluated a nonlinear regression model which produces improved predictions of building energy efficiency.
I also spent some time setting up the SERESL lab for testing of a new feature we added for iTrace. The feature allows us to gather eye-tracking data on different parts of the Eclipse Workbench that was not available in iTrace before. Preliminary testing revealed issues in the new feature that will be addressed in the coming week.
No comments:
Post a Comment