Question

I have been trying to run one simple example to check Weka GUI interface as I am planning to develop Support Vector Machine(SVM) using Weka API/WLSVM in my Java code. There are three steps I am following to make arff from text datasets (Training & Testing). You can assistant me to run it in Java code.

1. text file to .arff file converter.
2. Applied StringToWordVector Filter.
3. Applied Batch Filter on training and test datasets.

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1. text file to .arff file converter.

This step works fine on Simple CLI using following command

Error: java weka.core.converters.TextDirectoryLoader -dir Testing_Text > Testing.arff

but when I run it on MAC bash it gives following error, how can I resolve this issue?

Could not find or load main class weka.core.converters.TextDirectoryLoader

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2. Applied StringToWordVector Filter

I applied this filter using Weka GUI Interface separately first training and then on testing datasets.

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3. Applied Batch Filter on training and testing dataset.

When I try to apply batch filter it gives error: Input file formats differ on Simple CLI using following command.

java weka.filters.unsupervised.attribute.Standardize -b -i Training_STWV.arff -o train_std.arff -r TestingDiff_STWV.arff -s test_std.arff

Input file formats differ.

Kindly guide me, I am stuck to run Support Vector Machine(SVM) classifier using Weka.

Answer 1

The standard procedure on the Mac is, to change into the directory (e.g. weka-3.6.8/) and run

java -Xmx1000M -jar weka.jar

Check if that works.

If it does, check that in your own example, you have the classpath properly set (-jar weka.jar).