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Ticket Summary Owner Type Priority Milestone Component
#731 The modeling database backend should support a way to store meta-information to every model mkommend feature request medium HeuristicLab 3.3.0 ZZZ OBSOLETE: Modeling
#737 Add Notificiation dictionary to HeuristicLab.Common abeham enhancement medium HeuristicLab 3.3.0 Common
#738 NotificationDictionary doesn't fire AfterInsertEvent in Add abeham defect medium HeuristicLab 3.3.0 Common
#741 EvaluatedSolutions counter and current selection pressure is stored incorrectly in models generated by GP algorithms gkronber defect medium HeuristicLab 3.3.0 ZZZ OBSOLETE: GP.StructureIdentification
#743 Views are not correctly disposed during ViewClosed mkommend defect medium HeuristicLab 3.3.0 MainForm
#745 More advanced linear regression methods with included feature selection gkronber feature request medium HeuristicLab 3.3.15 Algorithms.DataAnalysis
#747 GP engines create model with non-zero time-offsets gkronber defect medium HeuristicLab 3.3.0 ZZZ OBSOLETE: GP.StructureIdentification.Classification
#748 FunctionLibraryView is empty gkronber defect medium HeuristicLab 3.3.0 ZZZ OBSOLETE: GP
#750 LinearRegressionOperator should first remove columns with many NaN values and after that remove the rows with NaN values gkronber enhancement medium HeuristicLab 3.3.0 ZZZ OBSOLETE: LinearRegression
#753 CEDMA Controller should adapt the training/validation/test set for each target variable separately to prevent problems with missing values in the target, gkronber enhancement medium HeuristicLab 3.3.0 ZZZ OBSOLETE: CEDMA.Server
#754 The CEDMA controller should support setting the modeling type (classification/regression/time-series) for each target variable independently gkronber enhancement medium HeuristicLab 3.3.0 ZZZ OBSOLETE: CEDMA.Server
#755 Hard-coded strings for variable names of data-modeling results gkronber defect medium HeuristicLab 3.3.0 ZZZ OBSOLETE: Modeling
#756 Enumerable for the algorithm type (Classification/Regression/Time-Series) mkommend enhancement medium HeuristicLab 3.3.0 ZZZ OBSOLETE: Modeling
#757 Predictors generated by SVM for time-series prognosis have to store min/max time offset to allow later application to new data gkronber defect medium HeuristicLab 3.3.0 ZZZ OBSOLETE: SupportVectorMachines
#758 CEDMA server should be based on new HL.MainForm gkronber enhancement medium HeuristicLab 3.3.0 ZZZ OBSOLETE: CEDMA.Server
#759 The modeling database backend should provide methods to enable update or delete of models from the model analyzer mkommend enhancement medium HeuristicLab 3.3.0 ZZZ OBSOLETE: Modeling
#760 IPredictor should have a method to get all used variables mkommend enhancement medium HeuristicLab 3.3.0 ZZZ OBSOLETE: Modeling
#766 CEDMA server should start new runs of deterministic algorithms if the settings for time-series algorithms are changed gkronber enhancement medium HeuristicLab 3.3.0 ZZZ OBSOLETE: CEDMA.Server
#767 Save functionality for CEDMA settings gkronber enhancement medium HeuristicLab 3.3.0 ZZZ OBSOLETE: CEDMA.Server
#769 Support for background processing epitzer enhancement medium HeuristicLab 3.3.0 BackgroundProcessing
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