SVGPcal
=======

.. currentmodule:: pycalib.gp_classes

.. autoclass:: SVGPcal
   :show-inheritance:

   .. rubric:: Attributes Summary

   .. autosummary::

      ~SVGPcal.data_holders
      ~SVGPcal.empty
      ~SVGPcal.feeds
      ~SVGPcal.graph
      ~SVGPcal.index
      ~SVGPcal.initializable_feeds
      ~SVGPcal.initializables
      ~SVGPcal.likelihood_tensor
      ~SVGPcal.name
      ~SVGPcal.objective
      ~SVGPcal.parameters
      ~SVGPcal.params
      ~SVGPcal.parent
      ~SVGPcal.pathname
      ~SVGPcal.prior_tensor
      ~SVGPcal.root
      ~SVGPcal.tf_name_scope
      ~SVGPcal.tf_pathname
      ~SVGPcal.trainable
      ~SVGPcal.trainable_parameters
      ~SVGPcal.trainable_tensors

   .. rubric:: Methods Summary

   .. autosummary::

      ~SVGPcal.anchor
      ~SVGPcal.as_pandas_table
      ~SVGPcal.assign
      ~SVGPcal.build
      ~SVGPcal.build_objective
      ~SVGPcal.build_prior_KL
      ~SVGPcal.childname
      ~SVGPcal.clear
      ~SVGPcal.compile
      ~SVGPcal.compute_log_likelihood
      ~SVGPcal.compute_log_prior
      ~SVGPcal.enquire_graph
      ~SVGPcal.enquire_session
      ~SVGPcal.fix_shape
      ~SVGPcal.initialize
      ~SVGPcal.is_built
      ~SVGPcal.is_built_coherence
      ~SVGPcal.predict_density
      ~SVGPcal.predict_f
      ~SVGPcal.predict_f_full_cov
      ~SVGPcal.predict_f_samples
      ~SVGPcal.predict_full_density
      ~SVGPcal.predict_y
      ~SVGPcal.read_trainables
      ~SVGPcal.read_values
      ~SVGPcal.reset_name
      ~SVGPcal.sample_feed_dict
      ~SVGPcal.set_trainable

   .. rubric:: Attributes Documentation

   .. autoattribute:: data_holders
   .. autoattribute:: empty
   .. autoattribute:: feeds
   .. autoattribute:: graph
   .. autoattribute:: index
   .. autoattribute:: initializable_feeds
   .. autoattribute:: initializables
   .. autoattribute:: likelihood_tensor
   .. autoattribute:: name
   .. autoattribute:: objective
   .. autoattribute:: parameters
   .. autoattribute:: params
   .. autoattribute:: parent
   .. autoattribute:: pathname
   .. autoattribute:: prior_tensor
   .. autoattribute:: root
   .. autoattribute:: tf_name_scope
   .. autoattribute:: tf_pathname
   .. autoattribute:: trainable
   .. autoattribute:: trainable_parameters
   .. autoattribute:: trainable_tensors

   .. rubric:: Methods Documentation

   .. automethod:: anchor
   .. automethod:: as_pandas_table
   .. automethod:: assign
   .. automethod:: build
   .. automethod:: build_objective
   .. automethod:: build_prior_KL
   .. automethod:: childname
   .. automethod:: clear
   .. automethod:: compile
   .. automethod:: compute_log_likelihood
   .. automethod:: compute_log_prior
   .. automethod:: enquire_graph
   .. automethod:: enquire_session
   .. automethod:: fix_shape
   .. automethod:: initialize
   .. automethod:: is_built
   .. automethod:: is_built_coherence
   .. automethod:: predict_density
   .. automethod:: predict_f
   .. automethod:: predict_f_full_cov
   .. automethod:: predict_f_samples
   .. automethod:: predict_full_density
   .. automethod:: predict_y
   .. automethod:: read_trainables
   .. automethod:: read_values
   .. automethod:: reset_name
   .. automethod:: sample_feed_dict
   .. automethod:: set_trainable