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Added an option to produce an output more suitable for machine reading #1

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17 changes: 9 additions & 8 deletions pyroc.py
100644 → 100755
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Original file line number Diff line number Diff line change
Expand Up @@ -349,34 +349,35 @@ def _calculate_counts(self,pos_data,neg_data):


if __name__ == '__main__':
print "PyRoC - ROC Curve Generator"
print "By Marcel Pinheiro Caraciolo (@marcelcaraciolo)"
print "http://aimotion.bogspot.com\n"
from optparse import OptionParser

parser = OptionParser()
parser.add_option('-f', '--file', dest='origFile', help="Path to a file with the class and decision function. The first column of each row is the class, and the second the decision score.")
parser.add_option("-n", "--max fp", dest = "fp_n", default=0, help= "Maximum false positives to calculate up to (for partial AUC).")
parser.add_option("-p","--plot", action="store_true",dest='plotFlag', default=False, help="Plot the ROC curve (matplotlib required)")
parser.add_option("-t",'--title', dest= 'ptitle' , default='' , help = 'Title of plot.')
parser.add_option("-q",'--quiet', dest= 'quiet', action='store_true', default=False , help = 'Do not print informative text')

(options,args) = parser.parse_args()


if not options.quiet:
print "PyRoC - ROC Curve Generator"
print "By Marcel Pinheiro Caraciolo (@marcelcaraciolo)"
print "http://aimotion.bogspot.com\n"

if (not options.origFile):
parser.print_help()
exit()

df_data = load_decision_function(options.origFile)
roc = ROCData(df_data)
roc_n = int(options.fp_n)
print "ROC AUC: %s" % (str(roc.auc(roc_n)),)
print 'Standard Error: %s' % (str(roc.calculateStandardError(roc_n)),)
print "#ROC AUC:\t%s" % (str(roc.auc(roc_n)),)
print '#Standard Error:\t%s' % (str(roc.calculateStandardError(roc_n)),)

print ''
for pt in roc.derived_points:
print pt[0],pt[1]

if options.plotFlag:
roc.plot(options.ptitle,True,True)