Prediction speed scales with training data size rather than output size

[davidfstein]

Prediction speed scales with training data size rather than output size

[fracpete]

I just submitted a fix (0608eef), that will allow you to evaluate a previously trained model on a test set. This wasn't possible before, the model always got retrained with the training data.

With the latest snapshot, you would use something like this:

java -cp "~/bin/meka-release-1.9.8-SNAPSHOT/lib/*" meka.classifiers.multilabel.MULAN -S COCOA -verbosity 8 -threshold 1 -T "test.arff" -l "clf.dmp"

[davidfstein]

Thanks for the quick fix!

I rebuilt from master, but I'm running into this error now:

java.lang.ArrayIndexOutOfBoundsException: Index 1341 out of bounds for length 1341 at weka.core.DenseInstance.value(DenseInstance.java:347) at mulan.transformations.BinaryRelevanceTransformation.transformInstance(BinaryRelevanceTransformation.java:126) at mulan.classifier.transformation.BinaryRelevance.makePredictionInternal(BinaryRelevance.java:83) at mulan.classifier.MultiLabelLearnerBase.makePrediction(MultiLabelLearnerBase.java:113) at mulan.classifier.transformation.COCOA.makePredictionforThreshold(COCOA.java:305) at mulan.classifier.transformation.COCOA.makePredictionInternal(COCOA.java:324) at mulan.classifier.MultiLabelLearnerBase.makePrediction(MultiLabelLearnerBase.java:113) at meka.classifiers.multilabel.MULAN.distributionForInstance(MULAN.java:263) at meka.classifiers.multilabel.Evaluation.testClassifier(Evaluation.java:617) at meka.classifiers.multilabel.Evaluation.evaluateModel(Evaluation.java:419) at meka.classifiers.multilabel.Evaluation.runExperiment(Evaluation.java:301) at meka.classifiers.multilabel.ProblemTransformationMethod.runClassifier(ProblemTransformationMethod.java:172) at meka.classifiers.multilabel.ProblemTransformationMethod.evaluation(ProblemTransformationMethod.java:152) at meka.classifiers.multilabel.MULAN.main(MULAN.java:273)

[fracpete]

Please provide a minimal example that replicates this problem.