tf.contrib.distributions.Gamma.parameters Dictionary of parameters used by this Distribution.
class tf.contrib.bayesflow.stochastic_tensor.QuantizedDistributionTensor QuantizedDistributionTensor is a
int64 tensorflow::PartialTensorShape::dim_size(int d) const Returns the number of elements in dimension d. REQUIRES:
tf.contrib.distributions.MultivariateNormalCholesky.log_cdf(value, name='log_cdf') Log cumulative distribution function.
tf.contrib.distributions.QuantizedDistribution.variance(name='variance') Variance.
class tf.contrib.distributions.Categorical Categorical distribution. The categorical distribution
tf.contrib.distributions.Binomial.batch_shape(name='batch_shape') Shape of a single sample from a single event index as a 1-D
tf.contrib.distributions.MultivariateNormalFull.param_static_shapes(cls, sample_shape) param_shapes with static (i.e. TensorShape)
class tf.OpError A generic error that is raised when TensorFlow execution fails. Whenever possible
tf.contrib.distributions.Gamma.variance(name='variance') Variance.
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