tf.contrib.distributions.MultivariateNormalFull.__init__()

tf.contrib.distributions.MultivariateNormalFull.__init__(mu, sigma, validate_args=False, allow_nan_stats=True, name='MultivariateNormalFull')

Multivariate Normal distributions on R^k.

User must provide means mu and sigma, the mean and covariance.

Args:

• mu: (N+1)-D floating point tensor with shape [N1,...,Nb, k], b >= 0.
• sigma: (N+2)-D Tensor with same dtype as mu and shape [N1,...,Nb, k, k]. Each batch member must be positive definite.
• validate_args: Boolean, default False. Whether to validate input with asserts. If validate_args is False, and the inputs are invalid, correct behavior is not guaranteed.
• allow_nan_stats: Boolean, default True. If False, raise an exception if a statistic (e.g. mean/mode/etc...) is undefined for any batch member If True, batch members with valid parameters leading to undefined statistics will return NaN for this statistic.
• name: The name to give Ops created by the initializer.

Raises:

• TypeError: If mu and sigma are different dtypes.