tf.contrib.distributions.GammaWithSoftplusAlphaBeta.log_pdf(value, name='log_pdf') Log probability density function.
tf.contrib.bayesflow.stochastic_tensor.ObservedStochasticTensor.clone(name=None, **dist_args)
tf.contrib.distributions.LaplaceWithSoftplusScale.log_survival_function(value, name='log_survival_function') Log survival function
tf.contrib.distributions.StudentTWithAbsDfSoftplusSigma.mu Locations of these Student's t distribution(s).
tf.contrib.bayesflow.stochastic_tensor.CategoricalTensor.value_type
tf.contrib.distributions.StudentTWithAbsDfSoftplusSigma.get_batch_shape() Shape of a single sample from a single event index as
tf.python_io.TFRecordWriter.close() Close the file.
tf.contrib.distributions.Mixture.cdf(value, name='cdf') Cumulative distribution function. Given
tf.contrib.distributions.Mixture.pdf(value, name='pdf') Probability density function. Args:
tf.contrib.bayesflow.stochastic_tensor.MultivariateNormalFullTensor.dtype
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