增加堆以避免WEKA中的内存不足错误 [英] Increase heap to avoid Out of Memory Error in WEKA

问题描述

我正在尝试通过以下命令行使用J48分类器在WEKA中运行分类器:

$ java -Xmx2048m -cp /home/weka-3-7-9/weka.jar weka.classifiers.trees.J48 -t input.arff -i -k -d J48-data.model &

尽管我的船长是43.8 M，我将堆空间增加到了2048m， 我仍然收到以下错误:

Exception in thread "main" java.lang.OutOfMemoryError: Java heap space
    at java.util.ArrayList.<init>(ArrayList.java:132)
    at weka.core.Instances.initialize(Instances.java:196)
    at weka.core.Instances.<init>(Instances.java:177)
    at weka.classifiers.trees.j48.ClassifierSplitModel.split(ClassifierSplitModel.java:252)
    at weka.classifiers.trees.j48.ClassifierTree.buildTree(ClassifierTree.java:159)
    at weka.classifiers.trees.j48.C45PruneableClassifierTree.buildClassifier(C45PruneableClassifierTree.java:126)
    at weka.classifiers.trees.J48.buildClassifier(J48.java:249)
    at weka.classifiers.evaluation.Evaluation.evaluateModel(Evaluation.java:1485)
    at weka.classifiers.Evaluation.evaluateModel(Evaluation.java:649)
    at weka.classifiers.AbstractClassifier.runClassifier(AbstractClassifier.java:297)
    at weka.classifiers.trees.J48.main(J48.java:1062)

有人知道我做错了什么吗?还是可以为我指出增加堆的其他解决方案?

谢谢.

解决方案

Ubuntu用户的快速说明:可以通过使用喜欢的编辑器更改文件/usr/bin/weka中的行MEMORY="256m"来设置堆.

I am trying to run a classifier in WEKA, using a J48 classifier using the following command line:

$ java -Xmx2048m -cp /home/weka-3-7-9/weka.jar weka.classifiers.trees.J48 -t input.arff -i -k -d J48-data.model &

Although the size of my arff is 43.8 M, and I aumented the heap space to 2048m, I still received the following errors:

Exception in thread "main" java.lang.OutOfMemoryError: Java heap space
    at java.util.ArrayList.<init>(ArrayList.java:132)
    at weka.core.Instances.initialize(Instances.java:196)
    at weka.core.Instances.<init>(Instances.java:177)
    at weka.classifiers.trees.j48.ClassifierSplitModel.split(ClassifierSplitModel.java:252)
    at weka.classifiers.trees.j48.ClassifierTree.buildTree(ClassifierTree.java:159)
    at weka.classifiers.trees.j48.C45PruneableClassifierTree.buildClassifier(C45PruneableClassifierTree.java:126)
    at weka.classifiers.trees.J48.buildClassifier(J48.java:249)
    at weka.classifiers.evaluation.Evaluation.evaluateModel(Evaluation.java:1485)
    at weka.classifiers.Evaluation.evaluateModel(Evaluation.java:649)
    at weka.classifiers.AbstractClassifier.runClassifier(AbstractClassifier.java:297)
    at weka.classifiers.trees.J48.main(J48.java:1062)

Does someone know if I am doing something incorrectly? Or can point me to a different solution to increase the heap?

Thank you in advance.

解决方案

Quick instruction for the Ubuntu-Users: The heap can be set by changing the line MEMORY="256m" in the file /usr/bin/weka with your favored editor.

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