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

tf.contrib.bayesflow.stochastic_tensor.NormalTensor.graph

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

tf.contrib.bayesflow.stochastic_tensor.NormalTensor.distribution

tf.contrib.distributions.StudentT.log_prob(value, name='log_prob') Log probability density/mass function (depending on is_continuous). Args: value: float or double Tensor. name: The name to give this op. Returns: log_prob: a Tensor of shape sample_shape(x) + self.batch_shape with values of type self.dtype.

Status tensorflow::EnvWrapper::RegisterFileSystem(const string &scheme, FileSystemRegistry::Factory factory) override

string tensorflow::TensorShape::DebugString() const For error messages.

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

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

tf.TFRecordReader.serialize_state(name=None) Produce a string tensor that encodes the state of a reader. Not all Readers support being serialized, so this can produce an Unimplemented error. Args: name: A name for the operation (optional). Returns: A string Tensor.