kdm

Guide users in applying the kdm-torch library (Kernel Density Matrices) to machine learning tasks. Make sure to use this skill whenever the user asks how to build a KDM model, use kdm-torch, or apply KDMs to classification, regression, density estimation, uncertainty quantification, or generative modeling. Trigger also when the user mentions kernel density matrices, KDMClassModel, KDMRegressModel, KDMDenEstModel, KDMLayer, init_kdm_layer, log_marginal, input log-likelihood, or OOD detection with KDMs.