User:IssaRice/Shapley value: Difference between revisions

From Machinelearning
No edit summary
No edit summary
Line 1: Line 1:
most expositions of the Shapley value SUCK BALLS because they try to sum over the subsets excluding the playing in question (usually called "player i"). so here we go, here's a TRUE REDPILLED exposition of the shapley value!
most expositions of the Shapley value SUCK BALLS because they try to sum over the subsets excluding the playing in question (usually called "player i"). so here we go, here's a TRUE REDPILLED exposition of the shapley value!
first of all, what's the shapley value even trying to do? once we understand it in words, we can just convert our verbal understanding into symbols. and then we will be done.


the Shapley value is <math>\frac{1}{|\mathrm{Sym}(n)|} \sum_{\sigma \in \mathrm{Sym}(n)} f_i(\sigma(1), \ldots, \sigma(n))</math>
the Shapley value is <math>\frac{1}{|\mathrm{Sym}(n)|} \sum_{\sigma \in \mathrm{Sym}(n)} f_i(\sigma(1), \ldots, \sigma(n))</math>

Revision as of 04:12, 8 April 2023

most expositions of the Shapley value SUCK BALLS because they try to sum over the subsets excluding the playing in question (usually called "player i"). so here we go, here's a TRUE REDPILLED exposition of the shapley value!

first of all, what's the shapley value even trying to do? once we understand it in words, we can just convert our verbal understanding into symbols. and then we will be done.

the Shapley value is