Implement SEARN functionality

You said: "Although, my adviser did write a paper describing how to learn structure from a set of independent classifiers with a system he developed called SEARN. Maybe I should implement it". Afte...

Id #9629 | Release: None | Updated: Nov 10, 2010 at 9:31 PM by SethJuarez | Created: Oct 13, 2010 at 9:17 PM by rickrat

Perceptron and LinearRegression should directly usable

The IModel and IPredict interfaces provide useful abstractions, however they hide interesting information on the supervised classes. For example, the PerceptronPredictor.W and PerceptronPredictor....

Id #9236 | Release: None | Updated: Oct 13, 2010 at 9:15 PM by rickrat | Created: Aug 20, 2010 at 5:10 PM by spivey

PerceptronModel.Generate fails in an unexpected way when given an empty collection.

I expected the following instructions to either fail silently, or throw an argument exception. var model = new PerceptronModel<Student>(); var predictor = model.Generate(new List<Student>()); // n...

Id #9235 | Release: None | Updated: Oct 13, 2010 at 9:16 PM by rickrat | Created: Aug 20, 2010 at 5:06 PM by spivey

  • 1-3 of 3 Work Items
    • Previous
    • 1
    • Next
    • Showing
    • All
    • Work Items