tf.contrib.distributions.BaseDistribution

class tf.contrib.distributions.BaseDistribution Simple abstract base class for probability distributions. Implementations of core distributions to be included in the distributions module should subclass Distribution. This base class may be useful to users that want to fulfill a simpler distribution contract.

tf.contrib.bayesflow.stochastic_tensor.LaplaceWithSoftplusScaleTensor.mean()

tf.contrib.bayesflow.stochastic_tensor.LaplaceWithSoftplusScaleTensor.mean(name='mean')

tensorflow::WritableFile

A file abstraction for sequential writing. The implementation must provide buffering since callers may append small fragments at a time to the file. Member Details tensorflow::WritableFile::WritableFile() tensorflow::WritableFile::~WritableFile() virtual Status tensorflow::WritableFile::Append(const StringPiece &data)=0 virtual Status tensorflow::WritableFile::Close()=0 virtual Status tensorflow::WritableFile::Flush()=0 virtual Status tensorflow::WritableFile::Sync()=0

tf.contrib.distributions.Exponential.log_prob()

tf.contrib.distributions.Exponential.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.

tf.contrib.distributions.Beta.a

tf.contrib.distributions.Beta.a Shape parameter.

tf.contrib.distributions.Normal.dtype

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

tf.QueueBase.size()

tf.QueueBase.size(name=None) Compute the number of elements in this queue. Args: name: A name for the operation (optional). Returns: A scalar tensor containing the number of elements in this queue.

tf.contrib.distributions.StudentTWithAbsDfSoftplusSigma.validate_args

tf.contrib.distributions.StudentTWithAbsDfSoftplusSigma.validate_args Python boolean indicated possibly expensive checks are enabled.

tensorflow::Tensor::bit_casted_tensor()

TTypes< T, NDIMS >::ConstTensor tensorflow::Tensor::bit_casted_tensor() const Return the tensor data to an Eigen::Tensor with the same size but a bitwise cast to the specified dtype T. Using a bitcast is useful for move and copy operations. NOTE: this is the same as tensor() except a bitcast is allowed.

tf.contrib.distributions.DirichletMultinomial.entropy()

tf.contrib.distributions.DirichletMultinomial.entropy(name='entropy') Shanon entropy in nats.