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

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

tf.contrib.distributions.Chi2WithAbsDf.sample(sample_shape=(), seed=None, name='sample') Generate samples of the specified shape

tf.assert_proper_iterable(values) Static assert that values is a "proper" iterable. Ops

class tf.contrib.framework.VariableDeviceChooser Device chooser for variables. When using a parameter

tf.ReaderBase.read_up_to(queue, num_records, name=None) Returns up to num_records (key, value pairs) produced by a reader.

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

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

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

tf.contrib.bayesflow.stochastic_tensor.LaplaceTensor.value_type