tf.contrib.distributions.DirichletMultinomial.log_cdf(value, name='log_cdf') Log cumulative distribution function.
tf.contrib.training.NextQueuedSequenceBatch.total_length The lengths of the original (non-truncated) unrolled examples.
tf.contrib.learn.monitors.RunHookAdapterForMonitors.after_run(run_context, run_values)
tf.contrib.distributions.MultivariateNormalDiag.parameters Dictionary of parameters used by this Distribution.
tf.contrib.distributions.Normal.param_static_shapes(cls, sample_shape) param_shapes with static (i.e. TensorShape) shapes.
tf.contrib.distributions.MultivariateNormalDiagPlusVDVT.std(name='std') Standard deviation.
tf.contrib.distributions.MultivariateNormalFull.variance(name='variance') Variance.
class tf.contrib.bayesflow.stochastic_tensor.WishartFullTensor WishartFullTensor is a StochasticTensor
tf.contrib.distributions.BetaWithSoftplusAB.param_static_shapes(cls, sample_shape) param_shapes with static (i.e. TensorShape)
tf.contrib.learn.TensorFlowRNNClassifier.set_params(**params) Set the parameters of this estimator. The
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