tf.contrib.distributions.TransformedDistribution.param_shapes(cls, sample_shape, name='DistributionParamShapes') Shapes of parameters
tf.contrib.distributions.Gamma.batch_shape(name='batch_shape') Shape of a single sample from a single event index as a 1-D Tensor
tf.contrib.distributions.StudentT.variance(name='variance') Variance. Additional documentation
tf.contrib.distributions.InverseGamma.log_cdf(value, name='log_cdf') Log cumulative distribution function. Given
tf.contrib.distributions.Categorical.parameters Dictionary of parameters used by this Distribution.
tf.contrib.distributions.Multinomial.pdf(value, name='pdf') Probability density function. Args:
tf.contrib.distributions.Dirichlet.param_static_shapes(cls, sample_shape) param_shapes with static (i.e. TensorShape) shapes.
tf.contrib.distributions.NormalWithSoftplusSigma.cdf(value, name='cdf') Cumulative distribution function. Given
tf.contrib.distributions.Dirichlet.log_pdf(value, name='log_pdf') Log probability density function. Args:
tf.contrib.distributions.BetaWithSoftplusAB.param_static_shapes(cls, sample_shape) param_shapes with static (i.e. TensorShape)
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