Please mention the jira issue in the comment, usually we do like this: OPENNLP-154 Removed commented out code I forgot to nix before.
I will add it, then it is linked to the issue. Jörn On 6/6/11 11:14 PM, [email protected] wrote:
Author: jbaldrid Date: Mon Jun 6 21:14:13 2011 New Revision: 1132775 URL: http://svn.apache.org/viewvc?rev=1132775&view=rev Log: Removed commented out code I forgot to nix before. 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=1132775&r1=1132774&r2=1132775&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 21:14:13 2011 @@ -112,13 +112,6 @@ public class PerceptronModel extends Abs 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; }
