Using skater for analysis

[ardunn]

After the model is returned, we need some interesting graphics and such for interpreting the model. Skater is a library which Anubhav initially suggested that gives you nice graphs on model interpretability:

https://github.com/datascienceinc/Skater

I think @Doppe1g4nger was going to work on this after finishing data cleaning?

[Doppe1g4nger]

Yes I've been looking into skater. It provides several good tools for explaining overall model decision making processes and why models make decisions for individual samples. I should be able to get to work on it some time late next week.

[ardunn]

Awesome, maybe this can be the meat and potatoes of our post-model-creation analysis (ie., an "Analysis" class or whatever we end up having)

[ardunn]

@Doppe1g4nger latest pull closes this