tf.contrib.distributions.BetaWithSoftplusAB.entropy(name='entropy') Shanon entropy in nats.

tf.contrib.distributions.ExponentialWithSoftplusLam.cdf(value, name='cdf') Cumulative distribution function. Given random variable X, the cumulative distribution function cdf is: cdf(x) := P[X <= x] Args: value: float or double Tensor. name: The name to give this op. Returns: cdf: a Tensor of shape sample_shape(x) + self.batch_shape with values of type self.dtype.

tf.contrib.learn.monitors.ExportMonitor.exports_to_keep

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

TTypes< T, NDIMS >::ConstTensor tensorflow::Tensor::flat_outer_dims() const

tf.contrib.bayesflow.stochastic_tensor.BernoulliWithSigmoidPTensor.name

tf.contrib.graph_editor.get_consuming_ops(ts) Return all the consuming ops of the tensors in ts. Args: ts: a list of tf.Tensor Returns: A list of all the consuming tf.Operation of the tensors in ts. Raises: TypeError: if ts cannot be converted to a list of tf.Tensor.

tf.contrib.bayesflow.stochastic_tensor.StudentTWithAbsDfSoftplusSigmaTensor.name

tf.contrib.distributions.MultivariateNormalDiagPlusVDVT.cdf(value, name='cdf') Cumulative distribution function. Given random variable X, the cumulative distribution function cdf is: cdf(x) := P[X <= x] Args: value: float or double Tensor. name: The name to give this op. Returns: cdf: a Tensor of shape sample_shape(x) + self.batch_shape with values of type self.dtype.

tf.contrib.distributions.Uniform.parameters Dictionary of parameters used by this Distribution.