ce97cb701aa0eb96dede07e03c04bea245deeb36,pymc3/model.py,ObservedRV,__init__,#ObservedRV#Any#Any#Any#Any#,379

Before Change

        else:
            names = [name]

        data_arrays = [as_tensor(data, name) for data, name in zip(data_arrays,names)]
        self.data = data_arrays
        self.missing_values = [d.missing_values for d in data_arrays if hasattr(d, "missing_values")]

        self.logp_elemwiset = distribution.logp(*data_arrays)
        self.model = model
        self.distribution = distribution

After Change

        self.model = model
        self.distribution = distribution

        theano.gof.Apply(identity, inputs=[data], outputs=[self])

class MultiObservedRV(Factor):
    Observed random variable that a model is specified in terms of.

Instances