slicer provides functions for computing sliced Wasserstein distances as well as one-dimensional Wasserstein distances between empirical distributions represented as matrices. These distances can be fed to a Gaussian process regression model, which currently accepts the Gaussian radial basis function kernel as well as the Matérn kernels with smoothness parameters .