tf.contrib.rnn.GRUBlockCell.state_size

tf.contrib.learn.monitors.ExportMonitor.exports_to_keep

tf.contrib.distributions.WishartFull.std(name='std') Standard deviation.

tf.contrib.distributions.Chi2WithAbsDf.std(name='std') Standard deviation.

tf.contrib.bayesflow.stochastic_tensor.MixtureTensor.dtype

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

tf.contrib.distributions.GammaWithSoftplusAlphaBeta.__init__(alpha, beta, validate_args=False, allow_nan_stats=True, name='GammaWithSoftplusAlphaBeta')

tf.matching_files(pattern, name=None) Returns the set of files matching a pattern. Note that this routine only supports wildcard characters in the basename portion of the pattern, not in the directory portion. Args: pattern: A Tensor of type string. A (scalar) shell wildcard pattern. name: A name for the operation (optional). Returns: A Tensor of type string. A vector of matching filenames.

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

tf.contrib.distributions.WishartCholesky.mean_log_det(name='mean_log_det') Computes E[log(det(X))] under this Wishart distribution.