MOA is an open source framework for Big Data stream mining. It includes a collection of machine learning algorithms (classification, regression, clustering, outlier detection, concept drift detection and recommender systems) and tools for evaluation.
I get the following error when trying to run the recommender system example using code in master.
*** STACK TRACE ***java.lang.ClassCastException: class java.lang.String cannot be cast to class moa.evaluation.preview.Preview (java.lang.String is in module java.base of loader 'bootstrap'; moa.evaluation.preview.Preview is in unnamed module of loader 'app')
at moa.gui.PreviewPanel.setLatestPreview(PreviewPanel.java:171)
at moa.gui.PreviewPanel.setTaskThreadToPreview(PreviewPanel.java:144)
at moa.gui.PreviewPanel.latestPreviewChanged(PreviewPanel.java:220)
at moa.tasks.StandardTaskMonitor.setLatestResultPreview(StandardTaskMonitor.java:141)
at moa.tasks.EvaluateOnlineRecommender.doMainTask(EvaluateOnlineRecommender.java:128)
at moa.tasks.MainTask.doTaskImpl(MainTask.java:50)
at moa.tasks.AbstractTask.doTask(AbstractTask.java:57)
at moa.tasks.TaskThread.run(TaskThread.java:76)
I get the following error when trying to run the recommender system example using code in master.