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Ticket Summary Status Owner Type Priority Milestone
#2434 Cross-validation should allow specification of folds using a variable of the dataset accepted gkronber enhancement medium HeuristicLab 4.x Backlog
#2886 Implement Naive Grammar Enumeration for Symb. Regression accepted lkammere feature request medium
#2987 Implement MOEA/D algorithm in HeuristicLab accepted bburlacu feature request medium HeuristicLab 3.3.x Backlog
#2990 Variable-Impact-based Feature Selection accepted pfleck feature request medium HeuristicLab 3.3.17
#3022 Implement FFX (Fast Function Extraction) in HeuristicLab accepted gkronber enhancement medium HeuristicLab 3.3.x Backlog
#3116 Generalized additive models with multi-variate (2d, 3d) base learners accepted gkronber feature request medium HeuristicLab 3.3.x Backlog
#1665 If the random seed is specified for a cross-validation then the same seed is used for each fold assigned gkronber defect high HeuristicLab 4.x Backlog
#2057 Parameter-tuning for support vector machine assigned gkronber feature request medium HeuristicLab 4.x Backlog
#2474 Correctly support parameters for all kernels for libsvm assigned gkronber defect lowest HeuristicLab 4.x Backlog
#2613 Improve missing values handing in GBT assigned fholzing defect medium HeuristicLab 3.3.17
#2812 Use ConstrainedValueParameters in GaussianProcessRegression assigned fholzing feature request medium HeuristicLab 3.3.17
#2893 Bayesian Nonlinear Regression assigned gkronber feature request low HeuristicLab 4.x Backlog
#1739 It should be possible to stop or interrupt fixed data analysis algorithms (wrappers) new gkronber feature request low HeuristicLab 3.3.x Backlog
#2033 Additive covariance function new gkronber feature request low HeuristicLab 3.3.x Backlog
#2073 One-vs-one approach for multi-class classification new gkronber feature request medium HeuristicLab 4.x Backlog
#2498 Improve Gaussian process training and inference to support larger datasets new defect medium HeuristicLab 4.0
#2537 Support ISymbolicRegressionSolutions as mean function for Gaussian Processes new feature request medium HeuristicLab 4.x Backlog
#2552 Initialization of Gaussian process hyper-parameters should be implemented specifically in the mean and covariance functions new enhancement medium HeuristicLab 4.x Backlog
#2654 Neural network model does not scale input variables new defect medium HeuristicLab 3.3.x Backlog
#2678 Simplify specification of kernels for Gaussian processes new enhancement lowest HeuristicLab 4.x Backlog
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