tf.contrib.learn.monitors.CaptureVariable.every_n_post_step(step, session) Callback after a step is finished or end()

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

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

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

tf.contrib.distributions.Multinomial.is_continuous

tf.contrib.learn.monitors.LoggingTrainable.__init__(scope=None, every_n=100, first_n=1) Initializes LoggingTrainable monitor.

tf.contrib.learn.monitors.CaptureVariable.epoch_end(epoch) End epoch. Args:

tf.contrib.bayesflow.stochastic_tensor.InverseGammaWithSoftplusAlphaBetaTensor.distribution

tf.contrib.bayesflow.stochastic_tensor.MultivariateNormalDiagTensor.name

tf.contrib.distributions.StudentTWithAbsDfSoftplusSigma.param_static_shapes(cls, sample_shape) param_shapes with static (i.e.