tf.contrib.distributions.Mixture.parameters Dictionary of parameters used by this Distribution.

tf.contrib.learn.monitors.PrintTensor.run_on_all_workers

tf.contrib.bayesflow.stochastic_tensor.DirichletTensor.graph

tf.contrib.distributions.Gamma.cdf(value, name='cdf') Cumulative distribution function. Given random variable X, the cumulative distribution function cdf is: cdf(x) := P[X <= x] Args: value: float or double Tensor. name: The name to give this op. Returns: cdf: a Tensor of shape sample_shape(x) + self.batch_shape with values of type self.dtype.

tf.erfc(x, name=None) Computes the complementary error function of x element-wise. Args: x: A Tensor. Must be one of the following types: half, float32, float64. name: A name for the operation (optional). Returns: A Tensor. Has the same type as x.

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

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(name='entropy') Shanon entropy in nats.

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.errors.AbortedError.__init__(node_def, op, message) Creates an AbortedError.