Decide on functions to include in the package

[OlivierBinette]

Any ideas for functions to include on the package? What should be the functions signatures, return type and behaviors?

For reference, here is code to plot decision trees using plotly: https://github.com/OlivierBinette/er-evaluation/blob/main/er_evaluation/plots/_dtree_plots.py. The results can be seen at the bottom of the page here: https://er-evaluation.readthedocs.io/en/latest/visualizations.html

[OlivierBinette]

It might be a good idea to follow the same interface as the plot_tree function from scikit-learn to start: https://scikit-learn.org/stable/modules/generated/sklearn.tree.plot_tree.html

[fleurfanli]

[Work in progress] Based on the "wants" discusses in Issue#2, include the following functions:

• plot_tree : takes in the fitted classifier and plotting arguments; returns a tree plot (matplotlib figure)
• export_tree : takes in the fitted classifier; returns a tree of text form (string)
• plot_decision_boundary: takes in the fitted classifier and plotting arguments; returns boundary plots for each pair of features