Exemple #1
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  def testNormalizeZeroVariance(self):
    # A list with a standard deviation of zero cannot be normalized because
    # the standard deviation cannot be made equal to 1.
    normalized = find_step._Normalize([5.0])
    self.assertEqual(1, len(normalized))
    self.assertTrue(math.isnan(normalized[0]))

    normalized = find_step._Normalize([5.0, 5.0])
    self.assertEqual(2, len(normalized))
    self.assertTrue(math.isnan(normalized[0]))
    self.assertTrue(math.isnan(normalized[1]))
Exemple #2
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  def testNormalizeZeroVariance(self):
    # A list with a standard deviation of zero cannot be normalized because
    # the standard deviation cannot be made equal to 1.
    normalized = find_step._Normalize([5.0])
    self.assertEqual(1, len(normalized))
    self.assertTrue(math.isnan(normalized[0]))

    normalized = find_step._Normalize([5.0, 5.0])
    self.assertEqual(2, len(normalized))
    self.assertTrue(math.isnan(normalized[0]))
    self.assertTrue(math.isnan(normalized[1]))
Exemple #3
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 def testNormalize_ResultMeanIsZeroAndStdDevIsOne(self):
   # When a data series is normalized, it is guaranteed that the result
   # should have a mean of 0.0 and a standard deviation and variance of 1.0.
   _, y_values = zip(*_QUITE_STEPPISH)
   normalized = find_step._Normalize(y_values)
   self.assertAlmostEqual(0.0, math_utils.Mean(normalized))
   self.assertAlmostEqual(1.0, math_utils.StandardDeviation(normalized))
Exemple #4
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 def testNormalize_ResultMeanIsZeroAndStdDevIsOne(self):
   # When a data series is normalized, it is guaranteed that the result
   # should have a mean of 0.0 and a standard deviation and variance of 1.0.
   _, y_values = zip(*_QUITE_STEPPISH)
   normalized = find_step._Normalize(y_values)
   self.assertAlmostEqual(0.0, math_utils.Mean(normalized))
   self.assertAlmostEqual(1.0, math_utils.StandardDeviation(normalized))
Exemple #5
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 def testNormalize_ShortList(self):
   self.assertEqual([-1, 1], find_step._Normalize([3, 4]))
   self.assertEqual(
       [-1.2247448713915889, 0, 1.2247448713915889],
       find_step._Normalize([3, 4, 5]))
Exemple #6
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 def testNormalize_EmptyInput_ReturnsEmptyList(self):
   self.assertEqual(0, len(find_step._Normalize([])))
Exemple #7
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 def testNormalize_ShortList(self):
   self.assertEqual([-1, 1], find_step._Normalize([3, 4]))
   self.assertEqual(
       [-1.2247448713915889, 0, 1.2247448713915889],
       find_step._Normalize([3, 4, 5]))
Exemple #8
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 def testNormalize_EmptyInput_ReturnsEmptyList(self):
   self.assertEqual(0, len(find_step._Normalize([])))