def printstats(varr):
return [("len: ", len(varr)),
("mean: ",mean(varr)),
("median: ",median(varr)),
("min ", min(varr)),
("max ", max(varr)),
("stdev:", pow(ca.var(varr),0.5) if len(varr) > 1 else "CANT COMPUTE len = 1")]
def _gfanalyze(notes,feature_list,fset_names=None):
if fset_names is None: fsetnames = [ ('feature_%d' % i) for i in xrange(len(feature_list))]
features = []
for feat in feature_list: features.append([feat(n).values()[0] for n in notes])
print "means: ",[mean(x) for x in features]
print "vars: ",[ca.var(x) if len(x) > 1 else "ZEROLENGTH" for x in features ]
print "max: ",[max(x) for x in features]
print "min: ",[min(x) for x in features]
# try:
# for result in features:
# print "-------------",fset_names[features.index(result)], "-------------------"
# print r.stem(c([log(x+1)/log(2) for x in result]))
# except:
# print sys.exc_info();
return features
