GSoC'24 Progress: Enhancing Discriminant Analysis and Exploring Generalized Additive Models
Hello Everyone, I'm thrilled to share the latest updates on my project. Here's what I've been working on recently: Achievements Implementation of the ClassificationDiscriminant Class: I have successfully implemented the class definition for ClassificationDiscriminant. This class includes essential methods such as predict, loss, margin, and crossval, enhancing its functionality for discriminant analysis. This addition significantly improves our model's capability to classify data by finding the linear combination of features that best separates different classes. 'ficdiscr' function for training the discriminant analysis model provides the necessary parameters for classification tasks. Modification of the ClassificationPartitionedModel Class: To accommodate the new discriminant class, I have modified the ClassificationPartitionedModel class. This ensures that the model can handle cross-validation and other partitioned operations seamlessly with the new discrimina...