netcal.regression.GPNormal
==========================

.. currentmodule:: netcal.regression

.. autoclass:: GPNormal
   :no-private-members:

   
   
   .. rubric:: Methods

   .. autosummary::
   
      ~GPNormal.__init__
      ~GPNormal.add_module
      ~GPNormal.added_loss_terms
      ~GPNormal.apply
      ~GPNormal.bfloat16
      ~GPNormal.buffers
      ~GPNormal.children
      ~GPNormal.clear
      ~GPNormal.constraint_for_parameter_name
      ~GPNormal.constraints
      ~GPNormal.cpu
      ~GPNormal.cuda
      ~GPNormal.double
      ~GPNormal.epsilon
      ~GPNormal.eval
      ~GPNormal.extra_repr
      ~GPNormal.fit
      ~GPNormal.fit_transform
      ~GPNormal.float
      ~GPNormal.forward
      ~GPNormal.get_buffer
      ~GPNormal.get_extra_state
      ~GPNormal.get_fantasy_model
      ~GPNormal.get_metadata_routing
      ~GPNormal.get_parameter
      ~GPNormal.get_params
      ~GPNormal.get_submodule
      ~GPNormal.guide
      ~GPNormal.half
      ~GPNormal.hyperparameters
      ~GPNormal.initialize
      ~GPNormal.ipu
      ~GPNormal.load_model
      ~GPNormal.load_state_dict
      ~GPNormal.load_strict_shapes
      ~GPNormal.local_load_samples
      ~GPNormal.model
      ~GPNormal.modules
      ~GPNormal.named_added_loss_terms
      ~GPNormal.named_buffers
      ~GPNormal.named_children
      ~GPNormal.named_constraints
      ~GPNormal.named_hyperparameters
      ~GPNormal.named_modules
      ~GPNormal.named_parameters
      ~GPNormal.named_parameters_and_constraints
      ~GPNormal.named_priors
      ~GPNormal.named_variational_parameters
      ~GPNormal.parameters
      ~GPNormal.pyro_guide
      ~GPNormal.pyro_load_from_samples
      ~GPNormal.pyro_model
      ~GPNormal.pyro_sample_from_prior
      ~GPNormal.register_added_loss_term
      ~GPNormal.register_backward_hook
      ~GPNormal.register_buffer
      ~GPNormal.register_constraint
      ~GPNormal.register_forward_hook
      ~GPNormal.register_forward_pre_hook
      ~GPNormal.register_full_backward_hook
      ~GPNormal.register_load_state_dict_post_hook
      ~GPNormal.register_module
      ~GPNormal.register_parameter
      ~GPNormal.register_prior
      ~GPNormal.requires_grad_
      ~GPNormal.sample_from_prior
      ~GPNormal.save_model
      ~GPNormal.set_extra_state
      ~GPNormal.set_fit_request
      ~GPNormal.set_output
      ~GPNormal.set_params
      ~GPNormal.share_memory
      ~GPNormal.state_dict
      ~GPNormal.to
      ~GPNormal.to_empty
      ~GPNormal.to_pyro_random_module
      ~GPNormal.train
      ~GPNormal.transform
      ~GPNormal.type
      ~GPNormal.update_added_loss_term
      ~GPNormal.variational_parameters
      ~GPNormal.xpu
      ~GPNormal.zero_grad