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

tf.contrib.distributions.ExponentialWithSoftplusLam.sample_n(n, seed=None, name='sample_n') Generate n samples.

tf.contrib.distributions.Chi2.allow_nan_stats Python boolean describing behavior when a stat is undefined. Stats

tf.contrib.distributions.Categorical.num_classes Scalar int32 tensor: the number of classes.

tf.get_session_tensor(handle, dtype, name=None) Get the tensor of type dtype by feeding a tensor handle.

tf.contrib.distributions.Gamma.log_pdf(value, name='log_pdf') Log probability density function. Args:

tf.contrib.learn.monitors.LoggingTrainable.__init__(scope=None, every_n=100, first_n=1) Initializes LoggingTrainable monitor.

class tf.contrib.bayesflow.stochastic_tensor.NormalWithSoftplusSigmaTensor NormalWithSoftplusSigmaTensor is a

tf.contrib.distributions.WishartFull.log_normalizing_constant(name='log_normalizing_constant') Computes the log normalizing constant

tf.contrib.distributions.StudentT.pmf(value, name='pmf') Probability mass function. Args: