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Searched
refs:log_cdf
(Results
1 - 24
of
24
) sorted by null
/external/tensorflow/tensorflow/contrib/distributions/python/kernel_tests/
poisson_test.py
116
log_cdf
= poisson.
log_cdf
(x)
117
self.assertEqual(
log_cdf
.get_shape(), (6,))
118
self.assertAllClose(
log_cdf
.eval(), stats.poisson.logcdf(x, lam_v))
132
log_cdf
= poisson.
log_cdf
(x)
133
self.assertEqual(
log_cdf
.get_shape(), (6, 3))
134
self.assertAllClose(
log_cdf
.eval(), stats.poisson.logcdf(x, lam_v))
negative_binomial_test.py
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()
geometric_test.py
236
log_cdf
= geom.
log_cdf
(x)
237
self.assertEqual([7,],
log_cdf
.get_shape())
238
self.assertAllClose(expected_log_cdf,
log_cdf
.eval())
mixture_same_family_test.py
120
actual_log_cdf = gm.
log_cdf
(x)
123
gm.components_distribution.
log_cdf
(x[..., array_ops.newaxis])),
half_normal_test.py
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,
transformed_distribution_test.py
74
[log_normal.
log_cdf
, sp_dist.logcdf],
329
for unsupported_fn in (fake_mvn_static.
log_cdf
,
logistic_test.py
83
logcdf = dist.
log_cdf
(x)
cauchy_test.py
192
cdf = cauchy.
log_cdf
(x)
212
dist.cdf, dist.
log_cdf
, dist.survival_function,
kumaraswamy_test.py
378
b).
log_cdf
(x)).eval()
quantized_distribution_test.py
271
self.assertAllClose(sp_normal.logcdf(x), qdist.
log_cdf
(x).eval())
mixture_test.py
731
# Carry out the test for both d.cdf and exp(d.
log_cdf
).
733
x_log_cdf_tf = mixture_tf.
log_cdf
(x_tensor)
779
x_log_cdf_tf = mixture_tf.
log_cdf
(x_tensor)
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all
...]
/external/tensorflow/tensorflow/contrib/distributions/python/ops/
conditional_distribution.py
54
def
log_cdf
(self, value, name="
log_cdf
", **condition_kwargs):
member in class:ConditionalDistribution
quantized_distribution.py
71
The base distribution's `
log_cdf
` method must be defined on `y - 1`. If the
99
The base distribution's `
log_cdf
` method must be defined on `y - 1`.
124
The base distribution's `
log_cdf
` method must be defined on `y - 1`.
300
"'
log_cdf
'")
308
return _logsum_expbig_minus_expsmall(self.
log_cdf
(y), self.
log_cdf
(y - 1))
319
logcdf_y = self.
log_cdf
(y)
320
logcdf_y_minus_1 = self.
log_cdf
(y - 1)
379
result_so_far = self.distribution.
log_cdf
(j)
conditional_transformed_distribution.py
151
raise NotImplementedError("
log_cdf
is not implemented when overriding "
154
raise NotImplementedError("
log_cdf
is not implemented when "
159
return self.distribution.
log_cdf
(x, **distribution_kwargs)
mixture_same_family.py
268
log_cdf_x = self.components_distribution.
log_cdf
(x) # [S, B, k]
mixture.py
294
distribution_log_cdfs = [d.
log_cdf
(x) for d in self.components]
/external/tensorflow/tensorflow/python/kernel_tests/distributions/
uniform_test.py
126
log_cdf
= uniform.
log_cdf
(x)
127
self.assertAllClose(np.log(_expected_cdf()),
log_cdf
.eval())
student_t_test.py
118
log_cdf
= student.
log_cdf
(t)
119
self.assertEquals(
log_cdf
.get_shape(), (6,))
120
log_cdf_values =
log_cdf
.eval()
categorical_test.py
265
"cat_log_cdf": cat.
log_cdf
(disc_event_tf),
269
"norm_log_cdf": norm.
log_cdf
(real_event_tf),
normal_test.py
205
cdf = normal.
log_cdf
(x)
225
dist.cdf, dist.
log_cdf
, dist.survival_function,
beta_test.py
342
actual = math_ops.exp(beta_lib.Beta(a, b).
log_cdf
(x)).eval()
laplace_test.py
152
cdf = laplace.
log_cdf
(x)
/external/tensorflow/tensorflow/python/ops/distributions/
transformed_distribution.py
160
* `
log_cdf
`
162
Programmatically: `distribution.
log_cdf
(bijector.inverse(x))`
468
raise NotImplementedError("
log_cdf
is not implemented when overriding "
471
raise NotImplementedError("
log_cdf
is not implemented when "
474
return self.distribution.
log_cdf
(x)
distribution.py
57
"
log_cdf
",
290
The shape of arguments to `__init__`, `cdf`, `
log_cdf
`, `prob`, and
325
# same holds for `
log_cdf
` and the likelihood functions.
746
raise NotImplementedError("
log_cdf
is not implemented")
759
def
log_cdf
(self, value, name="
log_cdf
"):
member in class:Distribution
765
log_cdf
(x) := Log[ P[X <= x] ]
768
Often, a numerical approximation can be used for `
log_cdf
(x)` that yields
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