def testParameterEstimation(self):
mu, b = 2.2, 2
data = numpy.random.laplace(mu, b, 100000)
pdf = Laplace(1, 1)
pdf.estimate(data)
self.assertAlmostEqual(pdf.mu, mu, places=1)
self.assertAlmostEqual(pdf.b, b, places=1)
def testParameterEstimation(self):
mu, b = 2.2, 2
data = numpy.random.laplace(mu, b, 100000)
pdf = Laplace(1, 1)
pdf.estimate(data)
self.assertAlmostEqual(pdf.mu, mu, places=1)
self.assertAlmostEqual(pdf.b, b, places=1)
def testParameters(self):
pdf = Laplace(1.5, 2.5)
pdf.mu = 33
pdf.b = 44
self.assertEqual(pdf.mu, 33)
self.assertEqual(pdf.b, 44)
self.assertEqual(pdf.b, pdf['b'])
def propertyAssignment():
pdf.b = -1
def directAssignment():
pdf['b'] = -1
self.assertRaises(ParameterValueError, propertyAssignment)
self.assertRaises(ParameterValueError, directAssignment)
def testParameters(self):
pdf = Laplace(1.5, 2.5)
pdf.mu = 33
pdf.b = 44
self.assertEqual(pdf.mu, 33)
self.assertEqual(pdf.b, 44)
self.assertEqual(pdf.b, pdf['b'])
def propertyAssignment():
pdf.b = -1
def directAssignment():
pdf['b'] = -1
self.assertRaises(ParameterValueError, propertyAssignment)
self.assertRaises(ParameterValueError, directAssignment)
def testLogProb(self):
pdf = Laplace(0, 2)
self.assertEqual(pdf(0), 1.0 / (2 * pdf.b))
self.assertEqual(pdf(1), 1 / (2 * pdf.b) * numpy.exp(-1 / pdf.b))
def testRandom(self):
pdf = Laplace(4, 2)
data = pdf.random(100000)
self.assertAlmostEqual(numpy.median(data), pdf.mu, delta=0.05)
def testRandom(self):
pdf = Laplace(4, 2)
data = pdf.random(100000)
self.assertAlmostEqual(numpy.median(data), pdf.mu, delta=0.05)
