GSoC'24 Progress: Implementing 'partialDependence' function for ClassificationKNN class

Hello everyone!

I’m excited to share the latest updates on my project. Here’s what I’ve been working on recently:

  • Achievements
    • Completion of the PartialDependence Function: I have successfully implemented the partialDependence function for the ClassificationKNN model. This function is critical for visualizing and understanding the relationship between individual feature values and the predicted outcomes. It helps interpret the influence of each feature on the prediction, providing valuable insights for model refinement and feature engineering.

  • Current Focus
    • Creating the ClassificationDiscriminant Class: With the partialDependence function now complete, my next task is to work on the ClassificationDiscriminant class. This class will be essential for extending the model's functionality to include discriminant analysis, which will enhance the model's ability to classify data because it helps find the linear combination of features that best separates different classes.

Stay tuned for more exciting developments as I continue to enhance the capabilities of our ClassificationKNN model.

Thank you for following along! 😀



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