Migration guide from alpha to beta

Alpha -> Beta

Here's a list of breaking changes that you need to address to move to GPyTorch 0.1 (Beta).

Big breaking changes

• gpytorch.random_variables have been replaced by gpytorch.distributions. These build upon PyTorch distributions.
  • gpytorch.random_variables.GaussianRandomVariable -> gpytorch.distributions.MultivariateNormal.
  • gpytorch.random_variables.MultitaskGaussianRandomVariable -> gpytorch.distributions.MultitaskMultivariateNormal.

Smaller breaking changes

Utilities

• gpytorch.utils.scale_to_bounds is now gpytorch.utils.grid.scale_to_bounds

Kernels

• GridInterpolationKernel, GridKernel, InducingPointKernel - the attribute base_kernel_module has become base_kernel (for consistency)
• AdditiveGridInterpolationKernel no longer exists. Now use `AdditiveStructureKernel(GridInterpolationKernel(...))
• MultiplicativeGridInterpolationKernel no longer exists. Now use ProductStructureKernel(GridInterpolationKernel(...))`.

Attributes (n_* -> num_*)

• IndexKernel: n_tasks -> num_tasks
• LCMKernel: n_tasks -> num_tasks
• MultitaskKernel: n_tasks -> num_tasks
• MultitaskGaussianLikelihood: n_tasks -> num_tasks
• SoftmaxLikelihood: n_features -> num_features
• MultitaskMean: n_tasks -> num_tasks
• VariationalMarginalLogLikelihood: n_data -> num_data
• SpectralMixtureKernel: n_dimensions -> ard_num_dims, n_mixtures -> num_mixtures