Patch cv error estimate generation

model_creator.py

@@ -90,7 +90,7 @@ def get_cv_error(clf,feats,scores):
     results={'success' : False, 'kappa' : 0, 'mae' : 0}
     try:
         cv_preds=util_functions.gen_cv_preds(clf,feats,scores)
-        err=numpy.mean(numpy.abs(cv_preds-scores))
+        err=numpy.mean(numpy.abs(numpy.array(cv_preds)-scores))
         kappa=util_functions.quadratic_weighted_kappa(list(cv_preds),scores)
         results['mae']=err
         results['kappa']=kappa

tests/test_cv_full.py

@@ -46,6 +46,8 @@ for filename in filenames:
     print err
     kappa=util_functions.quadratic_weighted_kappa(list(cv_preds),scores)
     print kappa
+    percent_error = numpy.mean(numpy.abs(scores - numpy.array(cv_preds))/scores)
+    print percent_error
 
     outfile=open(filename + "_cvout.tsv",'w+')
     outfile.write("cv_pred" + "\t" + "actual\n")