(skip-ci)

Author: hosseinfani

src/__config__.yaml

@@ -100,7 +100,7 @@ fair: #post-hoc reranks of the prediction list
   #fgender: ../output/gith/toy.repos.csv/females.csv
   #fgender: ../output/uspt/toy.patent.tsv/females.csv
 
-  algorithm: [det_greedy, det_relaxed, det_const_sort] #reranking algorithms (det_const is buggy for some k_max values :\)
+  algorithm: [fa-ir, det_greedy, det_relaxed, det_const_sort] #reranking algorithms (det_const is buggy for some k_max values :\)
   notion: [eo,dp] # equality of odds (eo), demographic parity (dp)
   attribute: [gender, popularity] #the sensitive attribute(s)
   k_max: ${test.topK} #cutoff for the reranking algorithms; this is the max depth, e.g., 100 or 1000, the algorithm goes down the list to bring up an expert. better be set to ${test.topK} topK first stage probs (the rest are zero for sparse pred file)