diff --git a/is/ub9/sample.py b/is/ub9/sample.py
new file mode 100755
index 0000000..4c7afb6
--- /dev/null
+++ b/is/ub9/sample.py
@@ -0,0 +1,23 @@
+#!/usr/bin/python3
+import numpy as np
+import matplotlib.pyplot as plt
+import random as rand
+from sklearn import svm
+
+n=500
+
+X=[]
+Y=[]
+
+for i in range(n):
+    X.append(rand.uniform(0,2))
+    Y.append(X[i]**2+rand.gauss(0,1))
+
+plt.plot(X,Y,'x')
+
+#clf=svm.SVR()
+#clf.fit(X.T,Y)
+
+#plt(X,clf.predict(X),'o')
+
+plt.show()