The `torch.distributions.MultivariateNormal` is a distribution in the PyTorch library that represents a multivariate normal (Gaussian) distribution. It provides a way to generate random samples from a multivariate normal distribution with a given mean and covariance matrix. This distribution is often used in machine learning and statistics for modeling the uncertainty of multiple variables simultaneously. By using this class, one can easily perform various operations such as calculating the log-likelihood, sampling from the distribution, and obtaining the mean and covariance of the distribution.
Python MultivariateNormal - 31 examples found. These are the top rated real world Python examples of torch.distributions.MultivariateNormal extracted from open source projects. You can rate examples to help us improve the quality of examples.