Improvements to K-Elbow Visualizer

The following tasks from #91 are left over to finalize the implementation of the KElbowVisualizer and improve it.

Note to contributors: items in the below checklist don’t need to be completed in a single PR; if you see one that catches your eye, feel to pick it off the list!

• Add inertia metric as seen in sklearn KMeans Equivalent of Elbow Method
• Improve documentation with a description of how to use K-Elbow to select k

Stretch goals:

• Find example dataset with clear elbow curve demonstration to use in documentation
• Parallelize with joblib and n_jobs argument (Note: this one is expert-level! See discussion here for more details)

The stretch goals can be converted to their own issues if not completed in this feature request.

[GrahamStein]

I have it done, just need to clean it up a bit. Sadly I’m booked out working on life/house stuff for the remainder of the week.

On Sat, May 11, 2019 at 1:53 PM Larry Gray [e-mail] wrote:

@GrahamStein https://github.com/GrahamStein were you still interested in tackling this issue?

— You are receiving this because you were mentioned. Reply to this email directly, view it on GitHub https://github.com/DistrictDataLabs/yellowbrick/issues/515#issuecomment-491531537, or mute the thread https://github.com/notifications/unsubscribe-auth/ACSBLV5NBYYBQIXTGS4YSZ3PU4BZ3ANCNFSM4FLA75BA .

[lwgray]

@GrahamStein were you still interested in tackling this issue?