gistfile1.txt

import numpy as np
from sklearn.metrics import precision_recall_curve
import matplotlib.pyplot as pl
		
recall, precision, thresholds = precision_recall_curve(np.array(np_y_true), np.array(np_y_scores))
pl.plot(recall, precision)
pl.xlabel('Recall')
pl.ylabel('Precision')
pl.ylim([0.0, 1.05])
pl.xlim([0.0, 1.0])
pl.title('Precision-Recall')
pl.savefig("{0}_{1}.png".format(kernel, k))