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tf.contrib.distributions.MultivariateNormalDiagPlusVDVT

class tf.contrib.distributions.MultivariateNormalDiagPlusVDVT

The multivariate normal distribution on R^k.

Every batch member of this distribution is defined by a mean and a lightweight covariance matrix C.

Links:

https://www.tensorflow.org/versions/master/api_docs/python/contrib.distributions.html#MultivariateNormalDiagPlusVDVT

doc_TensorFlow

2016-10-14 12:58:32

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

tf.contrib.distributions.MultivariateNormalDiagPlusVDVT.__init__() tf.contrib.distributions.MultivariateNormalDiagPlusVDVT.__init__(mu, diag_large, v, diag_small=None, validate_args=False, allow_nan_stats=True, name

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

tf.contrib.distributions.MultivariateNormalDiagPlusVDVT.pdf() tf.contrib.distributions.MultivariateNormalDiagPlusVDVT.pdf(value, name='pdf') Probability density function. Args: value: float or double Tensor.

tf.contrib.distributions.MultivariateNormalDiagPlusVDVT.variance() tf.contrib.distributions.MultivariateNormalDiagPlusVDVT.variance(name='variance') Variance.