Searched refs:log_cdf (Results 1 – 25 of 38) sorted by relevance
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117 log_cdf = poisson.log_cdf(x)118 self.assertEqual(log_cdf.get_shape(), (6,))119 self.assertAllClose(log_cdf.eval(), stats.poisson.logcdf(x, lam_v))152 log_cdf = poisson.log_cdf(x)153 self.assertEqual(log_cdf.get_shape(), (6, 3))154 self.assertAllClose(log_cdf.eval(), stats.poisson.logcdf(x, lam_v))
103 log_cdf = negbinom.log_cdf(x)104 self.assertEqual([6], log_cdf.get_shape())105 self.assertAllClose(expected_log_cdf, log_cdf.eval())119 negbinom.log_cdf(-1.).eval()
137 log_cdf = halfnorm.log_cdf(x)138 self._testBatchShapes(halfnorm, log_cdf)143 self.assertAllClose(expected_logcdf, log_cdf.eval(), atol=0)188 dist.cdf, dist.log_cdf, dist.survival_function,
236 log_cdf = geom.log_cdf(x)237 self.assertEqual([7,], log_cdf.get_shape())238 self.assertAllClose(expected_log_cdf, log_cdf.eval())
120 actual_log_cdf = gm.log_cdf(x)123 gm.components_distribution.log_cdf(x[..., array_ops.newaxis])),
104 [log_normal.log_cdf, sp_dist.logcdf],363 for unsupported_fn in (fake_mvn_static.log_cdf,
391 return _logsum_expbig_minus_expsmall(self.log_cdf(y), self.log_cdf(y - 1))402 logcdf_y = self.log_cdf(y)403 logcdf_y_minus_1 = self.log_cdf(y - 1)462 result_so_far = self.distribution.log_cdf(j)
54 def log_cdf(self, value, name="log_cdf", **condition_kwargs): member in ConditionalDistribution
163 return self.distribution.log_cdf(x, **distribution_kwargs)
83 name: "log_cdf"84 …spec: "args=[\'self\', \'value\', \'name\'], varargs=None, keywords=None, defaults=[\'log_cdf\'], "
92 name: "log_cdf"93 …spec: "args=[\'self\', \'value\', \'name\'], varargs=None, keywords=None, defaults=[\'log_cdf\'], "
96 name: "log_cdf"97 …spec: "args=[\'self\', \'value\', \'name\'], varargs=None, keywords=None, defaults=[\'log_cdf\'], "
93 name: "log_cdf"94 …spec: "args=[\'self\', \'value\', \'name\'], varargs=None, keywords=None, defaults=[\'log_cdf\'], "
128 log_cdf = uniform.log_cdf(x)129 self.assertAllClose(np.log(_expected_cdf()), self.evaluate(log_cdf))
118 log_cdf = student.log_cdf(t)119 self.assertEquals(log_cdf.get_shape(), (6,))120 log_cdf_values = self.evaluate(log_cdf)
293 "cat_log_cdf": cat.log_cdf(disc_event_tf),297 "norm_log_cdf": norm.log_cdf(real_event_tf),