tf.contrib.distributions.MultivariateNormalCholesky.log_prob()

tf.contrib.distributions.MultivariateNormalCholesky.log_prob(value, name='log_prob')

Log probability density/mass function (depending on is_continuous).

Additional documentation from _MultivariateNormalOperatorPD:

x is a batch vector with compatible shape if x is a Tensor whose shape can be broadcast up to either:

self.batch_shape + self.event_shape

or

[M1,...,Mm] + self.batch_shape + self.event_shape
Args:
  • value: float or double Tensor.
  • name: The name to give this op.
Returns:
  • log_prob: a Tensor of shape sample_shape(x) + self.batch_shape with values of type self.dtype.
doc_TensorFlow
2016-10-14 12:57:30
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