GSoC'24 Project: Adding GAM and Discriminant Classification Classes and Implementing Missing Methods
I am Ruchika Sonagote from India, and I am currently studying Computer Science at the Indian Institute of Technology Gandhinagar. I am thrilled to share that I will contribute to the GNU Octave Statistics Package this summer. I am thankful to Andreas Bertsatos for mentoring me throughout this project. I am enthusiastic about the opportunity to contribute to the GNU Octave Statistics Package and am committed to making meaningful contributions to its development. This project aims to significantly extend the classification capabilities of the GNU Octave statistics package by implementing additional methods for the existing `ClassificationKNN` class and introducing new classification classes, namely `ClassificationDiscriminant` and `ClassificationGAM`. These enhancements will bridge the gap between GNU Octave and MATLAB in terms of advanced data analysis and machine learning functionalities, fostering a richer environment for scientific computing. Proposed Timeline