Changing the model coefficients

When you call fit with scikit-learn, the logistic regression coefficients are automatically learned from your dataset. In this exercise you will explore how the decision boundary is represented by the coefficients. To do so, you will change the coefficients manually (instead of with fit), and visualize the resulting classifiers.

A 2D dataset is already loaded into the environment as X and y, along with a linear classifier object model.