Python _compute_cov Examples

Example #1

  def testComputeCovAgainstNumpy(self):
    with tf_ops.Graph().as_default(), self.test_session() as sess:
      npr.seed(0)
      random_seed.set_random_seed(200)

      x = npr.randn(100, 3)
      cov = ff._compute_cov(array_ops.constant(x))
      np_cov = np.dot(x.T, x) / x.shape[0]

      self.assertAllClose(sess.run(cov), np_cov)

Example #2

File: fisher_factors_test.py Project: AbhinavJain13/tensorflow

  def testComputeCovAgainstNumpy(self):
    with tf_ops.Graph().as_default(), self.test_session() as sess:
      npr.seed(0)
      random_seed.set_random_seed(200)

      x = npr.randn(100, 3)
      cov = ff._compute_cov(array_ops.constant(x))
      np_cov = np.dot(x.T, x) / x.shape[0]

      self.assertAllClose(sess.run(cov), np_cov)

Example #3

  def testComputeCovAgainstNumpyWithAlternativeNormalizer(self):
    with tf_ops.Graph().as_default(), self.test_session() as sess:
      npr.seed(0)
      random_seed.set_random_seed(200)

      normalizer = 10.
      x = npr.randn(100, 3)
      cov = ff._compute_cov(array_ops.constant(x), normalizer=normalizer)
      np_cov = np.dot(x.T, x) / normalizer

      self.assertAllClose(sess.run(cov), np_cov)

Example #4

File: fisher_factors_test.py Project: AbhinavJain13/tensorflow

  def testComputeCovAgainstNumpyWithAlternativeNormalizer(self):
    with tf_ops.Graph().as_default(), self.test_session() as sess:
      npr.seed(0)
      random_seed.set_random_seed(200)

      normalizer = 10.
      x = npr.randn(100, 3)
      cov = ff._compute_cov(array_ops.constant(x), normalizer=normalizer)
      np_cov = np.dot(x.T, x) / normalizer

      self.assertAllClose(sess.run(cov), np_cov)