tf.contrib.distributions.Exponential.mean()

tf.contrib.distributions.Exponential.mean(name='mean') Mean.

tf.contrib.bayesflow.stochastic_tensor.StudentTWithAbsDfSoftplusSigmaTensor.distribution

tf.contrib.bayesflow.stochastic_tensor.StudentTWithAbsDfSoftplusSigmaTensor.distribution

tf.contrib.bayesflow.stochastic_tensor.Chi2Tensor.value()

tf.contrib.bayesflow.stochastic_tensor.Chi2Tensor.value(name='value')

tf.contrib.bayesflow.stochastic_tensor.get_current_value_type()

tf.contrib.bayesflow.stochastic_tensor.get_current_value_type()

tf.contrib.bayesflow.stochastic_tensor.DirichletMultinomialTensor.__init__()

tf.contrib.bayesflow.stochastic_tensor.DirichletMultinomialTensor.__init__(name=None, dist_value_type=None, loss_fn=score_function, **dist_args)

tensorflow::Env::NewAppendableFile()

Status tensorflow::Env::NewAppendableFile(const string &fname, std::unique_ptr< WritableFile > *result) Creates an object that either appends to an existing file, or writes to a new file (if the file does not exist to begin with). On success, stores a pointer to the new file in *result and returns OK. On failure stores NULL in *result and returns non-OK. The returned file will only be accessed by one thread at a time. The ownership of the returned WritableFile is passed to the caller

tf.contrib.bayesflow.stochastic_tensor.DirichletMultinomialTensor.name

tf.contrib.bayesflow.stochastic_tensor.DirichletMultinomialTensor.name

tf.contrib.distributions.Poisson.is_reparameterized

tf.contrib.distributions.Poisson.is_reparameterized

tf.contrib.distributions.StudentTWithAbsDfSoftplusSigma.dtype

tf.contrib.distributions.StudentTWithAbsDfSoftplusSigma.dtype The DType of Tensors handled by this Distribution.

tf.contrib.bayesflow.stochastic_tensor.ObservedStochasticTensor.name

tf.contrib.bayesflow.stochastic_tensor.ObservedStochasticTensor.name