tf.contrib.learn.TensorFlowRNNClassifier.set_params(**params) Set the parameters of this estimator. The

tf.contrib.distributions.Bernoulli.log_cdf(value, name='log_cdf') Log cumulative distribution function. Given

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

tf.contrib.distributions.InverseGamma.validate_args Python boolean indicated possibly expensive checks are enabled.

tf.nn.rnn_cell.GRUCell.state_size

tf.contrib.distributions.Laplace.scale Distribution parameter for scale.

tf.contrib.learn.monitors.StepCounter.every_n_step_end(current_step, outputs)

class tf.contrib.bayesflow.stochastic_tensor.BinomialTensor BinomialTensor is a StochasticTensor backed

tf.contrib.distributions.MultivariateNormalFull.is_reparameterized

tf.contrib.framework.with_shape(expected_shape, tensor) Asserts tensor has expected shape. If