OPENNLP-624 Removed test code
diff --git a/liblinear-addon/src/main/java/LiblinearTrainer.java b/liblinear-addon/src/main/java/LiblinearTrainer.java
index d325e47..361f7ef 100644
--- a/liblinear-addon/src/main/java/LiblinearTrainer.java
+++ b/liblinear-addon/src/main/java/LiblinearTrainer.java
@@ -194,40 +194,4 @@
public boolean isSortAndMerge() {
return true;
}
-
- public static void main(String[] args) throws Exception {
-
- File file = File.createTempFile("svm", "test");
- file.deleteOnExit();
-
- Collection<String> lines = new ArrayList<String>();
- lines.add("1 1:1 3:1 4:1 6:1");
- lines.add("2 2:1 3:1 5:1 7:1");
- lines.add("1 3:1 5:1");
- lines.add("1 1:1 4:1 7:1");
- lines.add("2 4:1 5:1 7:1");
- lines.add("1 1:1 4:1 7:1");
- lines.add("2 4:1 5:1 7:1");
-
- BufferedWriter writer = new BufferedWriter(new FileWriter(file));
- try {
- for (String line : lines)
- writer.append(line).append("\n");
- } finally {
- writer.close();
- }
-
- Train train = new Train();
-
- Problem problem = train.readProblem(file, 0d);
-
- Model model = Linear.train(problem, new Parameter(SolverType.L1R_LR, 10d,
- 0.02d));
-
- double result = Linear.predict(model, new Feature[]{new FeatureNode(4, 1d), new FeatureNode(1, 1d)});
- double outcomes[] = new double[2];
- double result2 = Linear.predictProbability(model, new Feature[]{new FeatureNode(4, 1d), new FeatureNode(1, 1d)}, outcomes);
-
- System.out.println(result);
- }
}
