| /external/tensorflow/tensorflow/contrib/distributions/python/kernel_tests/ |
| conditional_distribution_test.py | 53 def _log_prob(self, _, arg1, arg2): member in class:ConditionalDistributionTest._GetFakeDistribution._FakeDistribution
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| /external/tensorflow/tensorflow/contrib/distributions/python/ops/ |
| binomial.py | 219 def _log_prob(self, counts): member in class:Binomial
224 return math_ops.exp(self._log_prob(counts))
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| gumbel.py | 190 def _log_prob(self, x): member in class:_Gumbel
194 return math_ops.exp(self._log_prob(x))
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| logistic.py | 185 def _log_prob(self, x): member in class:Logistic
189 return math_ops.exp(self._log_prob(x))
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| mvn_linear_operator.py | 209 def _log_prob(self, x): member in class:MultivariateNormalLinearOperator
210 return super(MultivariateNormalLinearOperator, self)._log_prob(x)
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| onehot_categorical.py | 187 def _log_prob(self, x): member in class:OneHotCategorical
207 return math_ops.exp(self._log_prob(x))
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| vector_exponential_linear_operator.py | 213 def _log_prob(self, x): member in class:VectorExponentialLinearOperator
214 return super(VectorExponentialLinearOperator, self)._log_prob(x)
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| vector_laplace_linear_operator.py | 230 def _log_prob(self, x): member in class:VectorLaplaceLinearOperator
231 return super(VectorLaplaceLinearOperator, self)._log_prob(x)
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| autoregressive.py | 204 def _log_prob(self, value): member in class:Autoregressive
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| inverse_gamma.py | 192 def _log_prob(self, x): member in class:InverseGamma
196 return math_ops.exp(self._log_prob(x))
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| relaxed_onehot_categorical.py | 262 def _log_prob(self, x): member in class:ExpRelaxedOneHotCategorical
289 return math_ops.exp(self._log_prob(x))
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| cauchy.py | 174 def _log_prob(self, x): member in class:Cauchy
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| geometric.py | 159 def _log_prob(self, x): member in class:Geometric
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| independent.py | 194 def _log_prob(self, x): member in class:Independent
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| negative_binomial.py | 163 def _log_prob(self, x): member in class:NegativeBinomial
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| poisson.py | 142 def _log_prob(self, x): member in class:Poisson
|
| /external/tensorflow/tensorflow/python/ops/distributions/ |
| dirichlet.py | 204 def _log_prob(self, x): member in class:Dirichlet
209 return math_ops.exp(self._log_prob(x))
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| dirichlet_multinomial.py | 272 def _log_prob(self, counts): member in class:DirichletMultinomial
282 return math_ops.exp(self._log_prob(counts))
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| laplace.py | 167 def _log_prob(self, x): member in class:Laplace
171 return math_ops.exp(self._log_prob(x))
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| beta.py | 227 def _log_prob(self, x): member in class:Beta
232 return math_ops.exp(self._log_prob(x))
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| gamma.py | 193 def _log_prob(self, x): member in class:Gamma
197 return math_ops.exp(self._log_prob(x))
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| normal.py | 188 def _log_prob(self, x): member in class:Normal
192 return math_ops.exp(self._log_prob(x))
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| student_t.py | 237 def _log_prob(self, x): member in class:StudentT
252 return math_ops.exp(self._log_prob(x))
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| bernoulli.py | 123 def _log_prob(self, event): member in class:Bernoulli
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| multinomial.py | 271 def _log_prob(self, counts): member in class:Multinomial
|
