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source: trunk/sources/HeuristicLab.Algorithms.DataAnalysis/3.4

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(edit) @14781   8 years gkronber #2756: changed cross-validation to work for GBT with logistic …
(edit) @14780   8 years gkronber #2755: set dataset partitions correctly in GBT with logistic …
(edit) @14779   8 years gkronber #2755: set discriminant function threshold to zero for GBT with …
(edit) @14685   8 years mkommend #2734: Changed tree interpreter from the recursive to the linear one.
(edit) @14523   8 years mkommend #2524: * Renamed pausable to SupportsPause * Changed SupportsPause …
(edit) @14434   8 years mkommend #2712: Changed name of MaximizationParameter for BFGS from …
(edit) @14400   8 years gkronber #2697: reverse merge of r14378, r14390, r14391, r14393, r14394, r14396
(edit) @14393   8 years gkronber #2697: * removed AlglibUtil.cs and added an extension method …
(edit) @14391   8 years gkronber #2697: * extended converter for linear models to support lagged …
(edit) @14390   8 years gkronber #2697: * renaming of folder "Transformation" to "Converters" to …
(edit) @14368   8 years gkronber #2690: recalculate RF if required before extracting a specific tree
(edit) @14345   8 years gkronber #2690: implemented methods to generate symbolic expression tree …
(edit) @14322   8 years mkommend #2653: Made lock object readonly in NearestNeighbourModel.
(edit) @14319   8 years gkronber #2657: * added switch to determine if numeric parameters should be …
(edit) @14316   8 years mkommend #2657: Changed nonlinear regression to perform at least one optimization.
(edit) @14315   8 years gkronber #2653: using Lazy initialization pattern to remove explicit locking …
(edit) @14314   8 years gkronber #2653: added a separate lock object for the kdTree in NearestNeighbourModel
(edit) @14258   8 years gkronber #2657: added random restarts for NonlinearRegression (curve fitting) …
(edit) @14236   8 years gkronber #2653: added synchronization in NearestNeighbourModel and made some …
(edit) @14235   8 years gkronber #2652: added scaling and optional specification of feature-weights for kNN
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