DKLGP ===== .. currentmodule:: obsidian.surrogates.custom_GP .. autoclass:: DKLGP .. automethod:: __init__ .. rubric:: Methods .. autosummary:: ~DKLGP.__init__ ~DKLGP.add_module ~DKLGP.added_loss_terms ~DKLGP.apply ~DKLGP.bfloat16 ~DKLGP.buffers ~DKLGP.children ~DKLGP.compile ~DKLGP.condition_on_observations ~DKLGP.constraint_for_parameter_name ~DKLGP.constraints ~DKLGP.construct_inputs ~DKLGP.cpu ~DKLGP.cuda ~DKLGP.double ~DKLGP.eval ~DKLGP.extra_repr ~DKLGP.float ~DKLGP.forward ~DKLGP.get_buffer ~DKLGP.get_extra_state ~DKLGP.get_fantasy_model ~DKLGP.get_parameter ~DKLGP.get_submodule ~DKLGP.half ~DKLGP.hyperparameters ~DKLGP.initialize ~DKLGP.ipu ~DKLGP.load_state_dict ~DKLGP.load_strict_shapes ~DKLGP.local_load_samples ~DKLGP.modules ~DKLGP.named_added_loss_terms ~DKLGP.named_buffers ~DKLGP.named_children ~DKLGP.named_constraints ~DKLGP.named_hyperparameters ~DKLGP.named_modules ~DKLGP.named_parameters ~DKLGP.named_parameters_and_constraints ~DKLGP.named_priors ~DKLGP.named_variational_parameters ~DKLGP.parameters ~DKLGP.posterior ~DKLGP.pyro_load_from_samples ~DKLGP.pyro_sample_from_prior ~DKLGP.register_added_loss_term ~DKLGP.register_backward_hook ~DKLGP.register_buffer ~DKLGP.register_constraint ~DKLGP.register_forward_hook ~DKLGP.register_forward_pre_hook ~DKLGP.register_full_backward_hook ~DKLGP.register_full_backward_pre_hook ~DKLGP.register_load_state_dict_post_hook ~DKLGP.register_module ~DKLGP.register_parameter ~DKLGP.register_prior ~DKLGP.register_state_dict_pre_hook ~DKLGP.requires_grad_ ~DKLGP.sample_from_prior ~DKLGP.set_extra_state ~DKLGP.set_train_data ~DKLGP.share_memory ~DKLGP.state_dict ~DKLGP.subset_output ~DKLGP.to ~DKLGP.to_empty ~DKLGP.to_pyro_random_module ~DKLGP.to_random_module ~DKLGP.train ~DKLGP.transform_inputs ~DKLGP.type ~DKLGP.update_added_loss_term ~DKLGP.variational_parameters ~DKLGP.xpu ~DKLGP.zero_grad .. rubric:: Attributes .. autosummary:: ~DKLGP.T_destination ~DKLGP.batch_shape ~DKLGP.call_super_init ~DKLGP.dtypes_of_buffers ~DKLGP.dump_patches ~DKLGP.num_outputs ~DKLGP.train_targets ~DKLGP.likelihood ~DKLGP.training