From 3f5e87bf21cb9f864ae4bc6cf79b8b9aa648952a Mon Sep 17 00:00:00 2001
From: Manuel Baum <mbaum@techfak.uni-bielefeld.de>
Date: Tue, 9 Jul 2013 10:50:31 +0200
Subject: [PATCH] Little refactor: Changed method name to get_unique_value()
---
primo/reasoning/Evidence.py | 4 ++--
primo/reasoning/MCMC.py | 2 +-
primo/reasoning/MarkovChainSampler.py | 4 ++--
3 files changed, 5 insertions(+), 5 deletions(-)
diff --git a/primo/reasoning/Evidence.py b/primo/reasoning/Evidence.py
index dd3214c..2946061 100644
--- a/primo/reasoning/Evidence.py
+++ b/primo/reasoning/Evidence.py
@@ -16,7 +16,7 @@ class Evidence(object):
'''
raise Exception("Not defined for this kind of Evidence")
- def get_unambigous_value(self):
+ def get_unique_value(self):
'''
Sometimes only one value of some domain is compatible with the evidence.
This is obviously the case for EvidenceEqual. It is then possible to
@@ -38,7 +38,7 @@ class EvidenceEqual(Evidence):
def is_compatible(self, value):
return self.value==value
- def get_unambigous_value(self):
+ def get_unique_value(self):
return self.value
class EvidenceIntervall(Evidence):
diff --git a/primo/reasoning/MCMC.py b/primo/reasoning/MCMC.py
index ef48ce6..a2b06a3 100644
--- a/primo/reasoning/MCMC.py
+++ b/primo/reasoning/MCMC.py
@@ -120,7 +120,7 @@ class MCMC(object):
state={}
for var in self.bn.get_nodes_in_topological_sort():
if var in evidence.keys():
- value=evidence[var].get_unambigous_value()
+ value=evidence[var].get_unique_value()
if value == None:
value=var.sample_global(state)
state[var]=value
diff --git a/primo/reasoning/MarkovChainSampler.py b/primo/reasoning/MarkovChainSampler.py
index d9064d6..b2b792e 100644
--- a/primo/reasoning/MarkovChainSampler.py
+++ b/primo/reasoning/MarkovChainSampler.py
@@ -33,7 +33,7 @@ class GibbsTransitionModel(object):
Dict from Node to Evidence.
'''
nodes = network.get_nodes([])
- nodes_to_resample=[n for n in nodes if not n in extern_evidence.keys() or extern_evidence[n].get_unambigous_value() == None]
+ nodes_to_resample=[n for n in nodes if not n in extern_evidence.keys() or extern_evidence[n].get_unique_value() == None]
for node in nodes_to_resample:
parents=network.get_parents(node)
@@ -97,7 +97,7 @@ class MetropolisHastingsTransitionModel(object):
Dict from Node to Evidence.
'''
nodes = network.get_nodes([])
- nodes_to_resample=[n for n in nodes if not n in extern_evidence.keys() or extern_evidence[n].get_unambigous_value() == None]
+ nodes_to_resample=[n for n in nodes if not n in extern_evidence.keys() or extern_evidence[n].get_unique_value() == None]
for node in nodes_to_resample:
#propose a new value for this variable:
current_value = state[node]
--
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