feature/average_class_influence

Makefile

@@ -0,0 +1,23 @@
+OS   := $(shell uname)
+ifeq ($(OS), Darwin)
+  TIME := /usr/bin/time -l
+else
+  TIME := /usr/bin/time -v
+endif
+
+pylint: *.py
+	pylint -f parseable -j 4 *.py
+
+test-shapley:
+	$(TIME) python qii.py -m shapley final.csv --show
+
+test:
+	$(TIME) python qii.py -m average-unary-individual final.csv
+	$(TIME) python qii.py -m unary-individual final.csv
+	$(TIME) python qii.py -m discrim final.csv
+	$(TIME) python qii.py -m banzhaf final.csv
+	$(TIME) python qii.py -m shapley final.csv
+
+clean:
+	rm -Rf *.pyc
+	rm -Rf *~

README.md

@@ -2,21 +2,20 @@
 QII Code originally from Datta-Sen-Zick Oakland'16  
 
 To try on the adult dataset run:  
-python qii.py adult --show-plot
+'''python qii.py adult --show-plot'''
 
 To see additional options:  
-Run python qii.py -h
+Run '''python qii.py -h'''
 
 Currently supported datasets:  
-adult  : UCI Income dataset  
-iwpc   : Warfarin dosage  
-nlsy97 : Arrest prediction from the NLSY 97  
-
-Currently supported measures:  
-discrim-inf       : Influence on discrimination  
-average-local-inf : Average unary QII  
-general-inf       : Influence on average classification  
-shapley           : Shapley QII (use -i k) for kth individual  
-banzhaf           : Banzhaf QII (use -i k) for kth individual  
-
+* adult  : UCI Income dataset  
+* iwpc   : Warfarin dosage  
+* nlsy97 : Arrest prediction from the NLSY 97  
 
+Currently supported measures:
+* discrim           : Unary QII on discrimination
+* average-unary-individual : Average unary QII
+* unary-individual  : Unary QII on individual outcome (use -i k) for kth individual
+* general-inf       : Influence on average classification
+* shapley           : Shapley QII (use -i k) for kth individual
+* banzhaf           : Banzhaf QII (use -i k) for kth individual