Activity for MEKA
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MEKA released /meka-1.9.8/README.md
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Yogesh posted a comment on discussion Help
Hello Everyone, Is it possible to run MEKA on a GPU? For instance, is it possible to run the CLI for MEKA to somehow use the power of GPU instead of letting it run on CPU? As running MEKA on CPU sometime is very time consuming especially with huge amount of data and some particulat algorithms like kNN or Random forest. I know that Machine learninf takes time but still if there is any way to explore the power of GPU for MEKA it will be great. Can that be done? Any inputs will be higly appreciated....
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mali posted a comment on discussion Help
Hi I need to do multi target regression with 7 targets, also my data is updateable then I used CRUpdateable classifier to have a updateable training data as stream. CRUpdateable classifier = new CRUpdateable(); SGD sgd = new SGD(); // weka calssifier classifier.setClassifier(sgd); then used Evaluation Class to evaluate my model. Result result = Evaluation.evaluateModel((MultiXClassifier) classifier , dataForEval , top, vop); but when I get the prediction from result object it gives me some strange...
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Hi, I want to do MultiTargetReression by Meka and my code is as under: try { ConverterUtils.DataSource dataSource = new ConverterUtils.DataSource(FILE_PATH); Instances preparedDataSet = dataSource.getDataSet(); preparedDataSet = filterUnsupervisedAttributes(preparedDataSet); preparedDataSet.setClassIndex(8); Instances trainingInstances = new Instances(dataSource.getStructure()); trainingInstances = filterUnsupervisedAttributes(trainingInstances); trainingInstances.setClassIndex(8); CRUpdateable classifier...
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Vlad C posted a comment on discussion Help
Hello, I'm encountering the following error when starting the run.sh app: Vlads-MacBook:~ vlad$ /Users/vlad/Downloads/meka-release-1.9.0/run.sh ; exit;\ Exception in thread "main" java.lang.NoClassDefFoundError: meka/gui/guichooser/GUIChooser\ Caused by: java.lang.ClassNotFoundException: meka.gui.guichooser.GUIChooser\ at java.net.URLClassLoader$1.run(URLClassLoader.java:202)\ at java.security.AccessController.doPrivileged(Native Method)\ at java.net.URLClassLoader.findClass(URLClassLoader.java:190)\...
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chanda posted a comment on discussion Help
I am a newbie to MEKA and WEKA. I have files with data that are labelled with multiple labels. e.g. "This is a sentence" {Angry, Sad, Happy} I need to get precision and recall for KNN , SVM and a few others. Being a beginner to MEKA I have no idea how to get going on this. I have used WEKA and the CLI and I know about ARFF files. But I dont have any clue how to make MEKA give me figures for multiLABEL classification. Thank you kindly.
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MEKA is built on WEKA, WEKA takes a -x parameter to specify the number of folds. Could that be what you are looking for?
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Adnan Shah posted a comment on discussion Help
Hi, I am new to data mining and have doubts on understanding what this excerpt from the book Multi-Label Classification Problem Analysis and Metrics actually means. The MLDs were partitioned following a 2×5 strategy. This means that there are two repetitions with 5 folds, and that for each run 80% (4/5) of instances are >used for training and 20%(1/5) for testing. Therefore, a total of 10 runs are made for each MLD. Random sampling was used to select the instances in each fold. The full set of folds...
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sara posted a comment on discussion Help
Hi everybody! I'm new in meka and work with GUI.when i load dataset in MULAN like CAL500 and choose classify and start it i have this error! Evaluation Failed!java.lang.index Out Of Bounds Exception:index:0,Size:0 what can i do?
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Vaishali posted a comment on discussion Help
Sir, I am trying to add multi-label classifier code written in java to MEKA. I have used separate train and test files. But now I want to perform 10 fold cross validation in MEKA. is it possible?
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lpsch created ticket #18
could not initialize the generic properties creator
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Jawad Shafi posted a comment on discussion General Discussion
Thanks a lot, indeed.
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Jesse Read posted a comment on discussion General Discussion
Hi, Probably your data is multi-target and not multi-label so it is only using the multi-target metrics. As the target variables are thus not binary, only results for a restricted set of metrics can be produced. Although it could be argued that Precision, Recall and F1 scores may be applied also in multi-target evaluation, this is not currently implemented in Meka. Jesse
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Hi, I want to get the precision and recall of each label, as I also set the 'verbosity' level 7 (as well as tried 1 - 8),unfortunately uncessful. How to set them enable on GUI using MEKA 1.91.1 ? Best Jawad
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Surya Yehezki posted a comment on discussion Help
Hello, Currently, I am using MEKA to classify multi label dataset. Use SMO algorithm. To choose the best gamma and penalty, I use Grid Search. Hereby, the options that I used. Options [-W, weka.classifiers.meta.GridSearch, --, -E, ACC, -y-property, kernel.gamma, -y-min, -3.0, -y-max, 4.0, -y-step, 1.0, -y-base, 10.0, -y-expression, pow(BASE,I), -x-property, C, -x-min, -3.0, -x-max, 4.0, -x-step, 1.0, -x-base, 10.0, -x-expression, pow(BASE,I), -sample-size, 100.0, -traversal, ROW-WISE, -log-file,...
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keerthi posted a comment on discussion Help
Hi, I have tried using the stopwords from a file. but i always get this error: Couldn't...
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Hi, Our schema of the data is as shown below: @relation 'StackOverflow: -C -15' @attribute...
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Unknown Values in Output Vectors Become 0 When Evaluating
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MEKA CODE REPOSITORY HAS NOW MOVED TO: https://...
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Final update to README, version number
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Peter Reutemann committed [r709]
explained all steps for making release
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[maven-release-plugin] prepare for next develop...
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[maven-release-plugin] copy for tag meka-1.9.0
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[maven-release-plugin] prepare release meka-1.9.0
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Markdown fixed in README
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Delete README.txt (has been replaced by README.md)
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README updated; changed from txt to markdown fo...
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Renamed Show*PrecisionRecall to, more generical...
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Minor update to tutorial
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New ref files from tests
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Update .ref files from tests
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Tidy up SCC and supporting code
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Updated version number, prepared for next release
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Updated tutorial, and included new screenshots.
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Reorganized tutorial (section 4); added Explore...
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Updated README with recent developments
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Added threshold data and visualization plugin f...
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Added Macro-Average PRC, and Macro and Micro Pr...
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Added flatten() method for double[][] matrices ...
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Added a visualization plugin to show micro-aver...
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Added Micro-averaged Curve data to Results
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Added method for getting a micro-averaged curve
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fixed copyright
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pushed default value for seed into getDefaultSe...
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exposed threshold and verbosity options as para...
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added checkbox for automatically clearing outpu...
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fixed typo in debugging messages
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improved debugging output
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