svn commit: r1154459 - /mahout/trunk/examples/src/main/java/org/apache/mahout/classifier/sgd/ValidateAdaptiveLogistic.java

[srowen]

Author: srowen
Date: Sat Aug  6 07:31:50 2011
New Revision: 1154459

URL: http://svn.apache.org/viewvc?rev=1154459&view=rev
Log:
Default category option

Modified:
    
mahout/trunk/examples/src/main/java/org/apache/mahout/classifier/sgd/ValidateAdaptiveLogistic.java

Modified: 
mahout/trunk/examples/src/main/java/org/apache/mahout/classifier/sgd/ValidateAdaptiveLogistic.java
URL: 
http://svn.apache.org/viewvc/mahout/trunk/examples/src/main/java/org/apache/mahout/classifier/sgd/ValidateAdaptiveLogistic.java?rev=1154459&r1=1154458&r2=1154459&view=diff
==============================================================================
--- 
mahout/trunk/examples/src/main/java/org/apache/mahout/classifier/sgd/ValidateAdaptiveLogistic.java
 (original)
+++ 
mahout/trunk/examples/src/main/java/org/apache/mahout/classifier/sgd/ValidateAdaptiveLogistic.java
 Sat Aug  6 07:31:50 2011
@@ -49,6 +49,7 @@ public final class ValidateAdaptiveLogis
 
   private static String inputFile;
   private static String modelFile;
+  private static String defaultCategory;
   private static boolean showAuc;
   private static boolean showScores;
   private static boolean showConfusion;
@@ -78,8 +79,7 @@ public final class ValidateAdaptiveLogis
       }
       
       OnlineSummarizer slh = new OnlineSummarizer();
-      ConfusionMatrix cm = new ConfusionMatrix(lmp.getTargetCategories(), 
"unknown");
-
+      ConfusionMatrix cm = new ConfusionMatrix(lmp.getTargetCategories(), 
defaultCategory);
 
       State<Wrapper, CrossFoldLearner> best = lr.getBest();
       if (best == null) {
@@ -172,11 +172,19 @@ public final class ValidateAdaptiveLogis
             argumentBuilder.withName("model").withMaximum(1)
                 .create())
         .withDescription("where to get the trained model").create();
+    
+    Option defaultCagetoryOption = builder
+       .withLongName("defaultCategory")
+       .withRequired(false)
+       .withArgument(
+                       
argumentBuilder.withName("defaultCategory").withMaximum(1).withDefault("unknown")
+                       .create())
+       .withDescription("the default category value to use").create();
 
     Group normalArgs = new GroupBuilder().withOption(help)
         .withOption(quiet).withOption(auc).withOption(scores)
         .withOption(confusion).withOption(inputFileOption)
-        .withOption(modelFileOption).create();
+        
.withOption(modelFileOption).withOption(defaultCagetoryOption).create();
 
     Parser parser = new Parser();
     parser.setHelpOption(help);
@@ -191,6 +199,7 @@ public final class ValidateAdaptiveLogis
 
     inputFile = getStringArgument(cmdLine, inputFileOption);
     modelFile = getStringArgument(cmdLine, modelFileOption);
+    defaultCategory = getStringArgument(cmdLine, defaultCagetoryOption);
     showAuc = getBooleanArgument(cmdLine, auc);
     showScores = getBooleanArgument(cmdLine, scores);
     showConfusion = getBooleanArgument(cmdLine, confusion);