softmax regression implementation
r/MachineLearning - [P] Softmax Regression implementation using NumPy
I implemented a Softmax Regression classifier using batch gradient descent and early stopping using just NumPy. I tried to follow Scikit-learn's interface approach where possible, with 2 methods available to the user: fit and predict, with options for various levels of regularization and various learning parameters (such as the step size). The ReadMe explains how to use it properly, and the Jupyter notebook demonstrates how to make predictions with it. Let me know what you think and if you've any feedback please share it, thanks:)