tf.contrib.distributions.LaplaceWithSoftplusScale.mode(name='mode') Mode.

tf.contrib.distributions.BetaWithSoftplusAB.get_event_shape() Shape of a single sample from a single batch as a TensorShape

tf.contrib.distributions.MultivariateNormalCholesky.log_survival_function(value, name='log_survival_function') Log survival function

class tf.nn.rnn_cell.GRUCell Gated Recurrent Unit cell (cf.

tf.contrib.distributions.Binomial.pdf(value, name='pdf') Probability density function. Args:

tf.contrib.metrics.streaming_sensitivity_at_specificity(predictions, labels, specificity, weights=None, num_thresholds=200, metrics_collections=None, updates_collections=None

tf.contrib.distributions.WishartCholesky.cholesky_input_output_matrices Boolean indicating if Tensor input/outputs

TTypes< T, NDIMS >::UnalignedTensor tensorflow::Tensor::unaligned_shaped(gtl::ArraySlice< int64 > new_sizes)

TTypes< T >::ConstScalar tensorflow::Tensor::scalar() const

tf.contrib.bayesflow.stochastic_tensor.StudentTTensor.loss(final_loss, name='Loss')