Python convection_lorenz_bridge Examples

Example #1

def convection_lorenz_bridge():
    """Lorenz System with observed convection and missing observations.

  Returns:
    target: StanModel.
  """
    dataset = data.convection_lorenz_bridge()
    return lorenz_system.partially_observed_lorenz_system(**dataset)

Example #2

 def __init__(self,
              name='convection_lorenz_bridge_unknown_scales',
              pretty_name='Ambrogioni Lorenz System'):
     dataset = data.convection_lorenz_bridge()
     del dataset['innovation_scale']
     del dataset['observation_scale']
     params = dict(dataset, name=name, pretty_name=pretty_name)
     super(ConvectionLorenzBridgeUnknownScales, self).__init__(**params)

Example #3

File: lorenz_system.py Project: tensorflow/probability

 def __init__(self,
              use_markov_chain=False,
              name='convection_lorenz_bridge',
              pretty_name='Ambrogioni Lorenz System'):
   dataset = data.convection_lorenz_bridge()
   super(ConvectionLorenzBridge, self).__init__(
       name=name,
       pretty_name=pretty_name,
       use_markov_chain=use_markov_chain,
       **dataset)

Example #4

File: targets.py Project: kchoworks/tensorflow-probability

def convection_lorenz_bridge_unknown_scales():
    """Lorenz System with observed convection and missing observations.

  Returns:
    target: StanModel.
  """
    dataset = data.convection_lorenz_bridge()
    del dataset['innovation_scale']
    del dataset['observation_scale']
    return lorenz_system.partially_observed_lorenz_system_unknown_scales(
        **dataset)

Example #5

File: lorenz_system.py Project: tensorflow/probability

 def __init__(self,
              use_markov_chain=False,
              name='convection_lorenz_bridge_unknown_scales',
              pretty_name='Ambrogioni Lorenz System'):
   dataset = data.convection_lorenz_bridge()
   del dataset['innovation_scale']
   del dataset['observation_scale']
   super(ConvectionLorenzBridgeUnknownScales, self).__init__(
       name=name,
       pretty_name=pretty_name,
       use_markov_chain=use_markov_chain,
       **dataset)

Example #6

File: data_test.py Project: xiaoguozhi/probability

 def testLorenzModel(self):
   dataset = data.convection_lorenz_bridge()
   self.assertEqual((30,), dataset['observed_values'].shape)

Example #7

 def __init__(self,
              name='convection_lorenz_bridge',
              pretty_name='Ambrogioni Lorenz System'):
   dataset = data.convection_lorenz_bridge()
   params = dict(dataset, name=name, pretty_name=pretty_name)
   super(ConvectionLorenzBridge, self).__init__(**params)