def __init__(self, model):
"""Initialize a ModelPrior.
Parameters
----------
model : ElfiModel
"""
model = model.copy()
self.parameter_names = model.parameter_names
self.dim = len(self.parameter_names)
self.client = Client()
# Prepare nets for the pdf methods
self._pdf_node = augmenter.add_pdf_nodes(model, log=False)[0]
self._logpdf_node = augmenter.add_pdf_nodes(model, log=True)[0]
self._rvs_net = self.client.compile(model.source_net, outputs=self.parameter_names)
self._pdf_net = self.client.compile(model.source_net, outputs=self._pdf_node)
self._logpdf_net = self.client.compile(model.source_net, outputs=self._logpdf_node)
def __init__(self, model, discrepancy_name=None, output_names=None, **kwargs):
model, discrepancy_name = self._resolve_model(model, discrepancy_name)
# Add the prior pdf nodes to the model
model = model.copy()
logpdf_name = augmenter.add_pdf_nodes(model, log=True)[0]
output_names = [discrepancy_name] + model.parameter_names + [logpdf_name] + \
(output_names or [])
super(SMC, self).__init__(model, output_names, **kwargs)
self.discrepancy_name = discrepancy_name
self.prior_logpdf = logpdf_name
self.state['round'] = 0
self._populations = []
self._rejection = None
self._round_random_state = None
