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Posted to commits@opennlp.apache.org by jb...@apache.org on 2011/06/06 23:13:39 UTC
svn commit: r1132774 -
/incubator/opennlp/trunk/opennlp-maxent/src/main/java/opennlp/perceptron/PerceptronModel.java
Author: jbaldrid
Date: Mon Jun 6 21:13:39 2011
New Revision: 1132774
URL: http://svn.apache.org/viewvc?rev=1132774&view=rev
Log:
Two loops for normalization now one. https://issues.apache.org/jira/browse/OPENNLP-154
Modified:
incubator/opennlp/trunk/opennlp-maxent/src/main/java/opennlp/perceptron/PerceptronModel.java
Modified: incubator/opennlp/trunk/opennlp-maxent/src/main/java/opennlp/perceptron/PerceptronModel.java
URL: http://svn.apache.org/viewvc/incubator/opennlp/trunk/opennlp-maxent/src/main/java/opennlp/perceptron/PerceptronModel.java?rev=1132774&r1=1132773&r2=1132774&view=diff
==============================================================================
--- incubator/opennlp/trunk/opennlp-maxent/src/main/java/opennlp/perceptron/PerceptronModel.java (original)
+++ incubator/opennlp/trunk/opennlp-maxent/src/main/java/opennlp/perceptron/PerceptronModel.java Mon Jun 6 21:13:39 2011
@@ -106,12 +106,18 @@ public class PerceptronModel extends Abs
maxPrior = Math.abs(prior[oid]);
}
- for (int oid = 0; oid < numOutcomes; oid++)
- prior[oid] = Math.exp(prior[oid]/maxPrior);
-
double normal = 0.0;
- for (int oid = 0; oid < numOutcomes; oid++)
+ for (int oid = 0; oid < numOutcomes; oid++) {
+ prior[oid] = Math.exp(prior[oid]/maxPrior);
normal += prior[oid];
+ }
+
+ //for (int oid = 0; oid < numOutcomes; oid++)
+ // prior[oid] = Math.exp(prior[oid]/maxPrior);
+ //
+ //double normal = 0.0;
+ //for (int oid = 0; oid < numOutcomes; oid++)
+ // normal += prior[oid];
for (int oid = 0; oid < numOutcomes; oid++)
prior[oid] /= normal;