tf.contrib.bayesflow.stochastic_tensor.GammaTensor.__init__(name=None, dist_value_type=None, loss_fn=score_function, **dist_args)

class tf.contrib.distributions.Categorical Categorical distribution. The categorical distribution

tf.contrib.distributions.Distribution.log_pmf(value, name='log_pmf') Log probability mass function. Args:

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

tf.contrib.distributions.Chi2WithAbsDf.pmf(value, name='pmf') Probability mass function. Args:

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

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

tf.contrib.graph_editor.placeholder_name(t=None, scope=None) Create placeholder name for tjhe graph editor.

tf.contrib.layers.repeat(inputs, repetitions, layer, *args, **kwargs) Applies the same layer with the same arguments repeatedly

tf.assert_greater_equal(x, y, data=None, summarize=None, message=None, name=None) Assert the condition x >= y