tf.contrib.distributions.BernoulliWithSigmoidP.is_continuous

tf.contrib.distributions.DirichletMultinomial.cdf(value, name='cdf') Cumulative distribution function. Given

tf.contrib.distributions.Normal.event_shape(name='event_shape') Shape of a single sample from a single batch as a 1-D int32 Tensor

tf.contrib.distributions.matrix_diag_transform(matrix, transform=None, name=None) Transform diagonal of [batch-]matrix, leave

tf.contrib.distributions.ExponentialWithSoftplusLam.event_shape(name='event_shape') Shape of a single sample from a single batch

tf.contrib.distributions.Normal.log_cdf(value, name='log_cdf') Log cumulative distribution function. Given

tf.contrib.distributions.Chi2.log_prob(value, name='log_prob') Log probability density/mass function (depending on is_continuous)

tf.contrib.distributions.StudentTWithAbsDfSoftplusSigma.param_static_shapes(cls, sample_shape) param_shapes with static (i.e.

tf.contrib.distributions.Chi2.mean(name='mean') Mean.

tf.contrib.distributions.Chi2WithAbsDf.variance(name='variance') Variance.