Error occurs when tring to use SMO -C for parameter tuning #63
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The option handling (inherited from Weka) can be sometimes a bit confusing. The "-W" option usually only takes a single argument, which is the scheme name. Options for that scheme have to be supplied after the "--" meta-option, which has to be placed at the end of the command. Your command would therefore look like this: I'd recommend to use the Meka Explorer to configure your scheme, copy/paste the commandline (via right-click) and then just add the java call at the start and all other general options (datasets, verbosity, ...) right after the first classname. Please use the Meka mailing list for asking questions: |
Great! This solved my problem, thanks! |
The change will allow the wrapper to construct java command that contains both MEKA and WEKA parameters. the below function will be able to work, which can specify SMO parameters, this leads to an error in the previous version. See also the question Waikato/meka#63. meka = Meka( meka_classifier = "meka.classifiers.multilabel.MULAN -S HOMER.BalancedClustering.3.ClassifierChain", # Binary Relevance weka_classifier = "weka.classifiers.functions.SMO -C 0.1", # with Naive Bayes single-label classifier meka_classpath = meka_classpath, #obtained via download_meka java_command = 'java', # path to java executable )
In the meka wrapper, I tried to run HOMER or BR with SVM and to tune the value of
-Cin SVM.However, error occurs at the prediction stage, is it because the
-Chas been occupied by meka? When-C 1.0is removed, the program works fine.The prediction command is below
java -cp "C:\Users\xxx\scikit_ml_learn_data\meka\meka-release-1.9.2\lib\*" meka.classifiers.multilabel.BR -W weka.classifiers.functions.SMO -C 1.0 -t "C:\Users\xxx\AppData\Local\Temp\tmp8k72pc2i.arff" -T "C:\Users\xxx\AppData\Local\Temp\tmppka5mk9h.arff" -verbosity 5 -l "C:\Users\xxx\AppData\Local\Temp\tmpzp4xpsjt"The text was updated successfully, but these errors were encountered: