def compute_posterior(self, h, data):
"""
Wrap the posterior with a penalty for how often we've seen h. Computes the penalty on the prior
"""
mypenalty = self.seen[h] * self.penalty
np, nl = MHSampler.compute_posterior(self, h, data)
return np+mypenalty, nl
def compute_posterior(self, h, data):
"""
Wrap the posterior with a penalty for how often we've seen h. Computes the penalty on the prior
"""
mypenalty = self.seen[h] * self.penalty
np, nl = MHSampler.compute_posterior(self, h, data)
return np + mypenalty, nl
def compute_posterior(self, h, data):
if h in self.mem:
ret = self.mem[h]
h.posterior_score = ret # set this because it may not be set
return ret
else:
ret = MHSampler.compute_posterior(self, h, data)
self.mem[h] = ret
return ret
def compute_posterior(self, h, data):
if h in self.mem:
ret = self.mem[h]
h.posterior_score = sum(ret) # set this because it may not be set
return ret
else:
ret = MHSampler.compute_posterior(self, h, data)
self.mem[h] = ret
return ret
def compute_posterior(self, h, data, shortcut=-Infinity):
if h in self.mem:
ret = self.mem[h]
h.posterior_score = ret # set this because it may not be set
return ret
else:
ret = MHSampler.compute_posterior(self, h, data, shortcut=-Infinity) # calls update to posterior counter
self.mem[h] = ret
return ret
def compute_posterior(self, h, data, shortcut=-Infinity):
if h in self.mem:
ret = self.mem[h]
h.posterior_score = ret # set this because it may not be set
return ret
else:
ret = MHSampler.compute_posterior(
self, h, data,
shortcut=-Infinity) # calls update to posterior counter
self.mem[h] = ret
return ret
