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1 parent 81bcd1a commit d16a537Copy full SHA for d16a537
pymc3/model.py
@@ -735,7 +735,11 @@ def logpt(self):
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@property
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def logp_nojact(self):
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- """Theano scalar of log-probability of the model"""
+ """Theano scalar of log-probability of the model but without the jacobian
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+ if transformed Random Variable is presented.
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+ Note that If there is no transformed variable in the model, logp_nojact
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+ will be the same as logpt as there is no need for Jacobian correction.
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+ """
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with self:
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factors = [var.logp_nojact for var in self.basic_RVs] + self.potentials
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logp = tt.sum([tt.sum(factor) for factor in factors])
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