tf.contrib.bayesflow.stochastic_tensor.BetaTensor.__init__(name=None, dist_value_type=None, loss_fn=score_function, **dist_args)

tf.contrib.learn.monitors.EveryN.end(session=None)

tf.contrib.distributions.Distribution.std(name='std') Standard deviation.

tf.contrib.rnn.AttentionCellWrapper.__init__(cell, attn_length, attn_size=None, attn_vec_size=None, input_size=None, state_is_tuple=False)

tf.contrib.distributions.StudentT.pmf(value, name='pmf') Probability mass function. Args:

tf.contrib.distributions.MultivariateNormalDiagWithSoftplusStDev.cdf(value, name='cdf') Cumulative distribution function.

tf.contrib.bayesflow.stochastic_tensor.BaseStochasticTensor.__init__()

tf.contrib.distributions.Chi2.param_shapes(cls, sample_shape, name='DistributionParamShapes') Shapes of parameters given the desired

tf.contrib.distributions.DirichletMultinomial.pdf(value, name='pdf') Probability density function. Args:

tf.contrib.bayesflow.stochastic_tensor.PoissonTensor.clone(name=None, **dist_args)