tf.contrib.bayesflow.stochastic_tensor.BetaWithSoftplusABTensor.value_type

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

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

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

class tf.contrib.learn.monitors.ExportMonitor Monitor that exports Estimator every N steps.

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

tf.contrib.bayesflow.stochastic_tensor.InverseGammaWithSoftplusAlphaBetaTensor.clone(name=None, **dist_args)

tf.contrib.bayesflow.stochastic_tensor.InverseGammaTensor.distribution

tf.PriorityQueue.__init__(capacity, types, shapes=None, names=None, shared_name=None, name='priority_queue') Creates a queue that

tf.contrib.metrics.streaming_specificity_at_sensitivity(predictions, labels, sensitivity, weights=None, num_thresholds=200, metrics_collections=None, updates_collections=None