tf.contrib.bayesflow.stochastic_tensor.ExponentialWithSoftplusLamTensor.entropy()

tf.contrib.bayesflow.stochastic_tensor.ExponentialWithSoftplusLamTensor.entropy(name='entropy')

2016-10-14 12:43:28
tf.contrib.bayesflow.stochastic_tensor.MixtureTensor.distribution

tf.contrib.bayesflow.stochastic_tensor.MixtureTensor.distribution

2016-10-14 12:43:49
tf.contrib.bayesflow.stochastic_tensor.UniformTensor.input_dict

tf.contrib.bayesflow.stochastic_tensor.UniformTensor.input_dict

2016-10-14 12:44:34
tf.contrib.bayesflow.stochastic_tensor.QuantizedDistributionTensor.dtype

tf.contrib.bayesflow.stochastic_tensor.QuantizedDistributionTensor.dtype

2016-10-14 12:44:17
tf.contrib.bayesflow.stochastic_tensor.SampleValue.pushed_above()

tf.contrib.bayesflow.stochastic_tensor.SampleValue.pushed_above(unused_value_type)

2016-10-14 12:44:22
tf.contrib.bayesflow.stochastic_tensor.UniformTensor.entropy()

tf.contrib.bayesflow.stochastic_tensor.UniformTensor.entropy(name='entropy')

2016-10-14 12:44:34
tf.contrib.bayesflow.stochastic_tensor.NormalWithSoftplusSigmaTensor.entropy()

tf.contrib.bayesflow.stochastic_tensor.NormalWithSoftplusSigmaTensor.entropy(name='entropy')

2016-10-14 12:44:10
tf.contrib.bayesflow.stochastic_tensor.ExponentialWithSoftplusLamTensor.clone()

tf.contrib.bayesflow.stochastic_tensor.ExponentialWithSoftplusLamTensor.clone(name=None, **dist_args)

2016-10-14 12:43:28
tf.contrib.bayesflow.stochastic_tensor.StudentTTensor

class tf.contrib.bayesflow.stochastic_tensor.StudentTTensor StudentTTensor is a StochasticTensor backed

2016-10-14 12:44:26
tf.contrib.bayesflow.stochastic_tensor.BernoulliWithSigmoidPTensor.value()

tf.contrib.bayesflow.stochastic_tensor.BernoulliWithSigmoidPTensor.value(name='value')

2016-10-14 12:43:00