rezaghasemi / ml_assignment_2

This is the second coding assignment for the introduction to machine learning algorithm by Lili Mou.

Setup Virtual Environment:

Take a look at 'requirements.txt' for required package and versions.

MNIST Dataset:

You can download it from the following link:

https://www.kaggle.com/datasets/hojjatk/mnist-dataset/

Utils.py:

Function generate() takes as input "A" or "B", it returns X, t. X is two dimensional vectors, t is the list of labels (0 or 1).

Function plot_data(X, t, w=None, bias=None, is_logistic=False, figure_name=None) takes as input paris of (X, t) , parameter w, and bias. If you are plotting the decision boundary for a logistic classifier, set "is_logistic" as True "figure_name" specifies the name of the saved diagram.