Login Register

tf.contrib.distributions.MultivariateNormalDiag.sigma_det()

tf.contrib.distributions.MultivariateNormalDiag.sigma_det(name='sigma_det')

Determinant of covariance matrix.

Links:

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

doc_TensorFlow

2016-10-14 12:58:27

Comments

Leave a Comment

Please login to continue.

Popular Articles

tf.contrib.distributions.MultivariateNormalDiag.sigma tf.contrib.distributions.MultivariateNormalDiag.sigma Dense (batch) covariance matrix, if available.

tf.contrib.distributions.MultivariateNormalDiag.log_sigma_det() tf.contrib.distributions.MultivariateNormalDiag.log_sigma_det(name='log_sigma_det') Log of determinant of covariance matrix.

tf.contrib.distributions.MultivariateNormalDiag class tf.contrib.distributions.MultivariateNormalDiag The multivariate normal distribution on R^k. This distribution is defined by a 1-D mean mu and

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

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