weka

可以将文章内容翻译成中文,广告屏蔽插件可能会导致该功能失效(如失效，请关闭广告屏蔽插件后再试): 问题: I'm trying to filter a dataset using weka's java API. I've successfully filtered the attributes I want with a stringToWordVector filter in Weka's GUI but I can't seem to do the same in my java code. I copied and pasted the auto-generated filtering parameters and posted them into my code but am continuing to get errors. Currently, my code looks like this: Instances newInsts = new Instances(this.instances); StringToWordVector stringFilter = new StringToWordVector(); stringFilter.setOptions( weka.core.Utils.splitOptions("-R 1,2,3,4,8 -W 1000

可以将文章内容翻译成中文,广告屏蔽插件可能会导致该功能失效(如失效，请关闭广告屏蔽插件后再试): 问题: I'm processing the some data in weka, and I want to use weka API so that I can use my self-defined algorithms. However, when I just want to instantiate the LinearRegression class: LinearRegression myRegression = new LinearRegression() I got the same error as: This person got the same problem and he roll back to version 3.6.12 I checked my weka.jar and I can find mtj.jar is included, so I'm sure there must be somewhere linked inapproriately. Downgrade the API version is not the best option for me because I want to use new class

可以将文章内容翻译成中文,广告屏蔽插件可能会导致该功能失效(如失效，请关闭广告屏蔽插件后再试): 由 翻译 强力驱动 问题: I have a training dataset (text) for a particular category (say Cancer). I want to train a SVM classifier for this class in weka. But when i try to do this by creating a folder 'cancer' and putting all those training files to that folder and when i run to code i get the following error: weka.classifiers.functions.SMO: Cannot handle unary class! what I want to do is if the classifier finds a document related to 'cancer' it says the class name correctly and once i fed a non cancer document it should say something like 'unknown'. What

可以将文章内容翻译成中文,广告屏蔽插件可能会导致该功能失效(如失效，请关闭广告屏蔽插件后再试): 问题: The attributes have been saved in 11 columns in csv file. If the order of columns change, Do Randomforest & RandomTree could give different accuracy in each time? 回答1: Ordering of the features does not affect any of classifiers I know (except those which are specially designed to do so - like specialistic classifiers for time series and other temporal features), no matter if it is Neural Network, SVM, RandomForest, RandomTree or NaiveBayes - it is just a numerical simplification, as arrays are faster then sets, while "under the hood" they

可以将文章内容翻译成中文,广告屏蔽插件可能会导致该功能失效(如失效，请关闭广告屏蔽插件后再试): 问题: I want to use LibSVM classifier with Weka in my application. How can I (or where can I find good examples to) do this? 回答1: A little late now, surely, but I'll answer anyways. You have to use weka.jar, libsvm.jar, and wlsvm.jar (the libsvm wrapper) in your project. So just include all 3 jars in your build path or class path or whatever. You can get the wlsvm.jar from here: http://www.cs.iastate.edu/~yasser/wlsvm/ You can get weka from here: http://www.cs.waikato.ac.nz/ml/weka/ And you can get libsvm from here: http://www.csie.ntu.edu.tw/

可以将文章内容翻译成中文,广告屏蔽插件可能会导致该功能失效(如失效，请关闭广告屏蔽插件后再试): 问题: I am new to Weka. I am trying to run WEKA using API's and have found out that the results from the WEKA GUI does not match to the one produced by the Java code. I am trying to run a RandomForest Algorithm by providing TrainingSet and Test Set. Here is the code snippet: DataSource ds = new DataSource(trainingFile); Instances insts = ds.getDataSet(); insts.setClassIndex(insts.numAttributes() - 1); Classifier cl = new RandomForest(); RandomForest rf = (RandomForest)cl; // rf.setOptions(options); // rf.setNumExecutionSlots(1); rf.setNumFeatures

可以将文章内容翻译成中文,广告屏蔽插件可能会导致该功能失效(如失效，请关闭广告屏蔽插件后再试): 问题: I am trying to use NaiveBayesUpdateable classifier from Weka. My data contains both nominal and numeric attributes: @relation cars @attribute country {FR, UK, ...} @attribute city {London, Paris, ...} @attribute car_make {Toyota, BMW, ...} @attribute price numeric %% car price @attribute sales numeric %% number of cars sold I need to predict the number of sales (numeric!) based on other attributes. When I run: // Train classifier ArffLoader loader = new ArffLoader(); loader.setFile(new File(trainFileName)); Instances structure = loader

I am running Max OS X 10.7 Lion and I want to use WEKA with LibSVM from command line. I get this error: Problem evaluating classifier: libsvm classes not in CLASSPATH! I found the LibSVM library here . I need to add it to my Java classpath so that WEKA can find it. The download contains several files, shown below. I don't know how to add them to my classpath for Java. I am attempting to use the LibSVM classifier in WEKA because it is preferable for me over SMO. I am also unsure if this means the Java classpath or if it is specific to WEKA. I also don't know where to get these classes from. Any