我正在尝试向我的训练集添加更多实例并执行10次交叉验证。
我的实例是String格式,所以我使用StringToWordVector过滤器将它们转换为数字。如果我不添加我想要的额外页面,事情会很好。但是当我添加命令trainSet.addAll(data2);
并将trainSet
传递给过滤器时,我会在IndexOutOfBoundsException
的第一次迭代中得到一个奇怪的Instances fTrainSet = Filter.useFilter(trainSet, filter);
Instances data = getDataFromFile("pathtofile.arff");//main dataset 1821 instances
Instances data2 = getDataFromFile("anotherpath.arff");//709 instances i want to add
int folds = 10;
for(int i=0;i<folds;i++){
Instances trainSet = data.trainCV(folds, i);//training set
System.out.println(trainSet.numInstances());//Prints 1638
Instances testSet = data.testCV(folds, i);//testing set
//add more instances
trainSet.addAll(data2);
System.out.println(trainSet.numInstances());//Prints 2347
//filter
StringToWordVector filter = new StringToWordVector();
filter.setInputFormat(trainSet);
filter.setWordsToKeep(10000);
filter.setTFTransform(true);
filter.setLowerCaseTokens(true);
filter.setOutputWordCounts(true);
Stemmer stemmer = new IteratedLovinsStemmer();
filter.setStemmer(stemmer);
WordsFromFile stopwords = new WordsFromFile();
stopwords.setStopwords(new File(".data/stopwords2.txt"));
filter.setStopwordsHandler(stopwords);
Instances fTrainSet = Filter.useFilter(trainSet, filter);//error!!!
Instances fTestSet = Filter.useFilter(testSet, filter);
....
//classification and evaluation....
当我尝试使用过滤器时出现以下错误:
Exception in thread "main" java.lang.IndexOutOfBoundsException: Index: 2161, Size: 1749
at java.util.ArrayList.rangeCheck(Unknown Source)
at java.util.ArrayList.get(Unknown Source)
at weka.core.Attribute.addStringValue(Attribute.java:924)
at weka.core.StringLocator.copyStringValues(StringLocator.java:150)
at weka.core.StringLocator.copyStringValues(StringLocator.java:91)
at weka.filters.Filter.copyValues(Filter.java:399)
at weka.filters.Filter.bufferInput(Filter.java:342)
at weka.filters.unsupervised.attribute.StringToWordVector.input(StringToWordVector.java:655)
at weka.filters.Filter.useFilter(Filter.java:692)
at CrossValidationExample.main(CrossValidationExample.java:108)
可能有什么不对?
答案 0 :(得分:0)
经过一番搜索,我意识到addAll
功能有问题。我能想到的一个原因是addAll
只是添加了实例的引用,当我尝试将它们与filter
一起使用时,这是一个问题。
相反,我使用了https://stackoverflow.com/a/12359788/3923800中提出的合并函数,所以我将trainSet.addAll(data2);
替换为Instances newTrainSettrainSet = merge(trainSet,data2);
,一切正常。