Shapley values AKA SHAP / Variable Importance Ranking

[caltang]

Hi all!

Based on the title, here's some background information: SHAPLEY Values

Currently, one way of doing so is to utilize the Python tool to write out the script and install the package. However, this will require running Alteryx as an administrator in order to successfully load, test, and run the script. The problem is, a substantial number of companies do not grant such privileges to their Alteryx teams to run as administrator fully as it will always require admin credentials to log in to even open Alteryx after closing it.

I am aware that there is a macro covering SHAP but I've recently tested it and it did not work as intended, plus it covers non-categorical values as determinants only, thereby requiring a conversion of categorical variables into numeric categories or binary categories. 

It will be nice to have a built in Alteryx ML tool that does this analysis and produces a graph akin to a heat map that showcases the values like below:

By doing so, it adds more value to the ML suite and actually helps convince companies to get it.

Otherwise teams will just use Python and be done with it, leaving only Alteryx as the clean-up ETL tool. It leaves much to be desired, and can leave some teams hanging.

I hope for some consideration on this - thank you.