Confidence intervals

Integrates a confidence interval functionality (Clopper–Pearson interval) in bob.measure.

bob/measure/test_utils.py

+#!/usr/bin/env python
+# vim: set fileencoding=utf-8 :
+
+import numpy
+from .utils import confidence_for_indicator_variable
+
+
+def test_confidence_interval():
+
+    def assert_confidence(x, n, expected_lower, expected_upper):
+        lower, upper = confidence_for_indicator_variable(x, n)
+        assert numpy.allclose(lower, expected_lower)
+        assert numpy.allclose(upper, expected_upper)
+
+    assert_confidence(1, 2, 0.01257911709342505, 0.98742088290657493)
+    assert_confidence(10, 10, 0.69150289218123917, 1)
+    assert_confidence(0, 10, 0, 0.30849710781876077)