netcal.regression.GPBeta
========================

.. currentmodule:: netcal.regression

.. autoclass:: GPBeta
   :no-private-members:

   
   
   .. rubric:: Methods

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