tf.contrib.distributions.WishartFull.parameters

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

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tf.contrib.distributions.MultivariateNormalCholesky.prob()

tf.contrib.distributions.MultivariateNormalCholesky.prob(value, name='prob') Probability density/mass function (depending on

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tf.contrib.distributions.MultivariateNormalDiagPlusVDVT.is_continuous

tf.contrib.distributions.MultivariateNormalDiagPlusVDVT.is_continuous

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tf.contrib.distributions.Laplace.std()

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

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tf.contrib.distributions.GammaWithSoftplusAlphaBeta.sample_n()

tf.contrib.distributions.GammaWithSoftplusAlphaBeta.sample_n(n, seed=None, name='sample_n') Generate n samples.

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tf.contrib.distributions.Laplace.scale

tf.contrib.distributions.Laplace.scale Distribution parameter for scale.

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tf.contrib.distributions.ExponentialWithSoftplusLam.param_shapes()

tf.contrib.distributions.ExponentialWithSoftplusLam.param_shapes(cls, sample_shape, name='DistributionParamShapes') Shapes of

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tf.contrib.distributions.Chi2.dtype

tf.contrib.distributions.Chi2.dtype The DType of Tensors handled by this Distribution.

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tf.contrib.distributions.Gamma.name

tf.contrib.distributions.Gamma.name Name prepended to all ops created by this Distribution.

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tf.contrib.distributions.Exponential.param_static_shapes()

tf.contrib.distributions.Exponential.param_static_shapes(cls, sample_shape) param_shapes with static (i.e. TensorShape) shapes

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