tf.contrib.distributions.MultivariateNormalDiagPlusVDVT.dtype The DType of Tensors handled by this
tf.contrib.distributions.Mixture.param_static_shapes(cls, sample_shape) param_shapes with static (i.e. TensorShape) shapes.
tf.contrib.distributions.MultivariateNormalDiagWithSoftplusStDev.allow_nan_stats Python boolean describing behavior when a stat
tf.contrib.learn.monitors.ValidationMonitor.every_n_step_begin(step) Callback before every n'th step begins.
tf.contrib.distributions.BernoulliWithSigmoidP.entropy(name='entropy') Shanon entropy in nats.
tf.contrib.learn.LinearClassifier.get_variable_names()
tf.nn.rnn_cell.MultiRNNCell.__init__(cells, state_is_tuple=True) Create a RNN cell composed sequentially of a number of RNNCells
tf.contrib.distributions.Distribution.survival_function(value, name='survival_function') Survival function.
tf.contrib.distributions.WishartCholesky.log_prob(value, name='log_prob') Log probability density/mass function (depending on
tf.contrib.distributions.InverseGamma.batch_shape(name='batch_shape') Shape of a single sample from a single event index as a
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