Searched refs:e_x2 (Results 1 – 4 of 4) sorted by relevance
58 e_x2 = mc.expectation_importance_sampler(61 stddev = math_ops.sqrt(e_x2 - math_ops.square(e_x))118 e_x2 = math_ops.exp(log_e_x2)122 self.assertEqual(p.batch_shape, e_x2.get_shape())123 self.assertAllClose([1., (2 / 3.)**2], e_x2.eval(), rtol=0.02)
60 const auto e_x2 = in Variance() local63 return e_x2 - e_x * e_x; in Variance()
100 const auto e_x2 = squares / count; in WeightedVariance() local101 Eigen::Tensor<float, 0, Eigen::RowMajor> ret = (e_x2 - e_x.square()).sum(); in WeightedVariance()
5058 const float e_x2 = (float)((double)x2_sum / num); in get_mean_and_dev() local5059 const float diff = e_x2 - e_x * e_x; in get_mean_and_dev()5079 const float e_x2 = x2_sum / num; in get_mean_and_dev_float() local5080 const float diff = e_x2 - e_x * e_x; in get_mean_and_dev_float()