tf.contrib.distributions.BetaWithSoftplusAB.is_reparameterized

tf.contrib.distributions.Gamma.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.erfc(x, name=None) Computes the complementary error function of x element-wise. Args: x: A Tensor. Must be one of the following types: half, float32, float64. name: A name for the operation (optional). Returns: A Tensor. Has the same type as x.

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

tf.contrib.learn.LinearRegressor.get_variable_value(name) Returns value of the variable given by name. Args: name: string, name of the tensor. Returns: Numpy array - value of the tensor.

tf.contrib.bayesflow.stochastic_tensor.DirichletTensor.graph

tf.contrib.learn.monitors.PrintTensor.run_on_all_workers

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

tf.contrib.distributions.Chi2WithAbsDf.name Name prepended to all ops created by this Distribution.

tf.contrib.training.SequenceQueueingStateSaver.num_unroll