justinuliu / autoweka Goto Github PK

[Thread-11] WARN weka.classifiers.meta.AutoWEKAClassifier - WARNING: An illegal reflective access operation has occurred
[Thread-11] WARN weka.classifiers.meta.AutoWEKAClassifier - WARNING: Illegal reflective access by com.sun.xml.bind.v2.runtime.reflect.opt.Injector (file:/C:/Program%20Files/Weka-3-8-5/weka.jar) to method java.lang.ClassLoader.defineClass(java.lang.String,byte[],int,int)
[Thread-11] WARN weka.classifiers.meta.AutoWEKAClassifier - WARNING: Please consider reporting this to the maintainers of com.sun.xml.bind.v2.runtime.reflect.opt.Injector
[Thread-11] WARN weka.classifiers.meta.AutoWEKAClassifier - WARNING: Use --illegal-access=warn to enable warnings of further illegal reflective access operations
[Thread-11] WARN weka.classifiers.meta.AutoWEKAClassifier - WARNING: All illegal access operations will be denied in a future release
[Thread-11] ERROR weka.classifiers.meta.AutoWEKAClassifier - 2021-06-08 20:56:46.667 [main] ERROR Experiment - Failed to parse trajectory
[Thread-11] INFO weka.classifiers.meta.AutoWEKAClassifier - java.lang.RuntimeException: Failed to parse trajectory
[Thread-11] INFO weka.classifiers.meta.AutoWEKAClassifier -     at autoweka.smac.SMACTrajectoryParser.parseTrajectory(SMACTrajectoryParser.java:144)
[Thread-11] INFO weka.classifiers.meta.AutoWEKAClassifier -     at autoweka.TrajectoryParser.getTrajectory(TrajectoryParser.java:114)
[Thread-11] INFO weka.classifiers.meta.AutoWEKAClassifier -     at autoweka.TrajectoryParser.main(TrajectoryParser.java:88)
[Thread-11] INFO weka.classifiers.meta.AutoWEKAClassifier -     at autoweka.Experiment.main(Experiment.java:299)
[Thread-11] INFO weka.classifiers.meta.AutoWEKAClassifier -     at autoweka.tools.ExperimentRunner.main(ExperimentRunner.java:51)
[Thread-11] INFO weka.classifiers.meta.AutoWEKAClassifier - Caused by: java.lang.NullPointerException
[Thread-11] INFO weka.classifiers.meta.AutoWEKAClassifier -     at autoweka.smac.SMACTrajectoryParser.parseTrajectory(SMACTrajectoryParser.java:43)
[Thread-11] INFO weka.classifiers.meta.AutoWEKAClassifier -     ... 4 more
[Thread-10] INFO autoweka.TrajectoryMerger - Experiment C:\Users\User\AppData\Local\Temp\autoweka7929919122816433091\Auto-WEKA
[Thread-10] INFO weka.classifiers.meta.AutoWEKAClassifier - Thread 0, best configuration estimate -1.0
[Thread-10] INFO weka.classifiers.meta.AutoWEKAClassifier - classifier: null, arguments: [], attribute search: null, attribute search arguments: [], attribute evaluation: null, attribute evaluation arguments: []
java.lang.NullPointerException
        java.base/java.lang.String.contains(Unknown Source)
        weka.core.ClassCache.find(ClassCache.java:425)
        weka.core.ClassDiscovery.find(ClassDiscovery.java:212)
        weka.Run.findSchemeMatch(Run.java:82)
        weka.core.ResourceUtils.forName(ResourceUtils.java:76)
        weka.core.Utils.forName(Utils.java:1112)
        weka.classifiers.AbstractClassifier.forName(AbstractClassifier.java:91)
        weka.classifiers.meta.AutoWEKAClassifier.buildClassifier(AutoWEKAClassifier.java:520)
        weka.gui.explorer.ClassifierPanel$20.run(ClassifierPanel.java:1523)

        at java.base/java.lang.String.contains(Unknown Source)
        at weka.core.ClassCache.find(ClassCache.java:425)
        at weka.core.ClassDiscovery.find(ClassDiscovery.java:212)
        at weka.Run.findSchemeMatch(Run.java:82)
        at weka.core.ResourceUtils.forName(ResourceUtils.java:76)
        at weka.core.Utils.forName(Utils.java:1112)
        at weka.classifiers.AbstractClassifier.forName(AbstractClassifier.java:91)
        at weka.classifiers.meta.AutoWEKAClassifier.buildClassifier(AutoWEKAClassifier.java:520)
        at weka.gui.explorer.ClassifierPanel$20.run(ClassifierPanel.java:1523)

java -cp /home/justinliu/wekafiles/packages/Auto-WEKA/autoweka.jar:weka.jar weka.classifiers.meta.AutoWEKAClassifier -seed 123 -timeLimit 15 -memLimit 1024 -nBestConfigs 1 -metric errorRate -parallelRuns 1 -t data/iris.arff

[INFO ] Logging to: /tmp/autoweka5641892797756408672/Auto-WEKA/out/autoweka/log-run123.txt
[INFO ] Version of SMAC is v2.10.03-master-778 (3ee628ef9bf2), running on OpenJDK 64-Bit Server VM (1.8.0_292) and Linux 5.8.0-55-generic (amd64) 
[INFO ] Call String: smac --seed 123 --validation-seed 123 --random-sample-seed 123 --scenarioFile autoweka.scenario --logModel false --logAllProcessOutput TRUE --adaptiveCapping false --runGroupName autoweka --terminate-on-delete /tmp/autoweka5641892797756408672/Auto-WEKA//out/runstamps/123.stamp --kill-runs-on-file-delete /tmp/autoweka5641892797756408672/Auto-WEKA//out/runstamps/123.stamp --algo-cutoff-time 75.0 --transform-crashed-quality-value 1.0E100 --kill-run-exceeding-captime-factor 2.0 --initialIncumbent DEFAULT --acq-func EI 
[INFO ] Terminating all runs if /tmp/autoweka5641892797756408672/Auto-WEKA/out/runstamps/123.stamp is deleted
[INFO ] Terminating procedure if /tmp/autoweka5641892797756408672/Auto-WEKA/out/runstamps/123.stamp is deleted
[INFO ] SMAC started at: 9/06/2021 3:19:19 PM. Minimizing mean quality.
[ERROR] The following algorithm call failed: cd "/tmp/autoweka5641892797756408672/Auto-WEKA/." ;  /usr/lib/jvm/java-8-openjdk-amd64/jre/bin/java -Dautoweka.infinity=1.0E100 -Xmx1024m -cp /home/justinliu/wekafiles/packages/Auto-WEKA/autoweka.jar:weka.jar:/home/justinliu/wekafiles/packages/Auto-WEKA/autoweka.jar autoweka.smac.SMACWrapper -prop datasetString=testArff=__dummy____COLONESCAPE__:classIndex=4__COLONESCAPE__:type=trainTestArff__COLONESCAPE__:trainArff=/tmp/autoweka5641892797756408672/Auto-WEKA/Auto-WEKA.arff:instanceGenerator=autoweka.instancegenerators.CrossValidation:resultMetric=errorRate -prop initialIncumbent=DEFAULT:acq-func=EI -wrapper seed=123:numFolds=10:fold=7 0 75.0 2147483647 -1 -_0__wekaclassifierstreesrandomforest_00_INT_I '10' -_0__wekaclassifierstreesrandomforest_01_features_HIDDEN '0' -_0__wekaclassifierstreesrandomforest_02_1_INT_K '0' -_0__wekaclassifierstreesrandomforest_04_depth_HIDDEN '0' -_0__wekaclassifierstreesrandomforest_05_1_INT_depth '0' -attributesearch 'NONE' -attributetime '15.0' -targetclass 'weka.classifiers.trees.RandomForest'  
[WARN ] [PROCESS-ERR] Exception in thread "main" java.lang.NoClassDefFoundError: weka/core/Instance
        at autoweka.Wrapper.run(Wrapper.java:123)
        at autoweka.smac.SMACWrapper.main(SMACWrapper.java:26)
Caused by: java.lang.ClassNotFoundException: weka.core.Instance
        at java.net.URLClassLoader.findClass(URLClassLoader.java:382)
        at java.lang.ClassLoader.loadClass(ClassLoader.java:418)
        at sun.misc.Launcher$AppClassLoader.loadClass(Launcher.java:352)
        at java.lang.ClassLoader.loadClass(ClassLoader.java:351)
        ... 2 more
Error occurred while running SMAC
>Error Message: Wrapper did not output anything that matched the expected output ("Result of algorithm run:..."). Please try executing the wrapper directly
>Encountered Exception:TargetAlgorithmAbortException
>Error Log Location: /tmp/autoweka5641892797756408672/Auto-WEKA/out/autoweka/log-run123.txt
[ERROR] Message:  Wrapper did not output anything that matched the expected output ("Result of algorithm run:..."). Please try executing the wrapper directly
[ERROR] We tried to call the target algorithm wrapper, but this call failed.
[ERROR] The problem is (most likely) somewhere in the wrapper or with the arguments to SMAC.
[ERROR] The easiest way to debug this problem is to manually execute the call we tried and see why it did not return the correct result
[ERROR] The required output of the wrapper is something like "Result for ParamILS: x,x,x,x,x".);
[INFO ] Exiting SMAC with failure. Log: /tmp/autoweka5641892797756408672/Auto-WEKA/out/autoweka/log-run123.txt
[INFO ] For a list of available commands use:  --help
[INFO ] The Quickstart guide at available at: http://www.cs.ubc.ca/labs/beta/Projects/SMAC/ or alternatively (doc/quickstart.html) gives simple examples for getting up and running.
[INFO ] The FAQ (doc/faq.pdf) contains commonly asked questions regarding troubleshooting, and usage.
[INFO ] The Manual (doc/manual.pdf) contains detailed information on file format semantics.
[INFO ] If you are stuck, please ask a question in the SMAC forum: https://groups.google.com/forum/#!forum/smac-forum