SHOGUN  v3.0.1
 All Classes Namespaces Files Functions Variables Typedefs Enumerations Enumerator Friends Macros Groups Pages
class_list.cpp
Go to the documentation of this file.
1 /*
2  * This program is free software; you can redistribute it and/or modify
3  * it under the terms of the GNU General Public License as published by
4  * the Free Software Foundation; either version 3 of the License, or
5  * (at your option) any later version.
6  *
7  * Written (W) 2009 Soeren Sonnenburg
8  * Copyright (C) 2009 Fraunhofer Institute FIRST and Max-Planck-Society
9  */
10 
11 #include "lib/common.h"
12 #include "base/class_list.h"
13 
14 #include <string.h>
15 
16 #include "kernel/Kernel.h"
17 
28 #include "converter/Isomap.h"
34 #include "converter/ica/SOBI.h"
35 #include "converter/ica/FFSep.h"
36 #include "converter/ica/JediSep.h"
37 #include "converter/ica/Jade.h"
39 #include "converter/ica/FastICA.h"
59 #include "mathematics/Statistics.h"
60 #include "mathematics/Math.h"
63 #include "mathematics/Random.h"
80 #include "mathematics/ajd/UWedge.h"
81 #include "mathematics/ajd/JADiag.h"
83 #include "mathematics/ajd/FFDiag.h"
84 #include "mathematics/ajd/QDiag.h"
87 #include "multiclass/MCLDA.h"
89 #include "multiclass/GMNPLib.h"
96 #include "multiclass/QDA.h"
97 #include "multiclass/ScatterSVM.h"
98 #include "multiclass/GMNPSVM.h"
99 #include "multiclass/ShareBoost.h"
101 #include "multiclass/KNN.h"
102 #include "multiclass/LaRank.h"
121 #include "machine/BaggingMachine.h"
124 #include "machine/KernelMachine.h"
125 #include "machine/LinearMachine.h"
129 #include "machine/Machine.h"
130 #include "machine/DistanceMachine.h"
134 #include "machine/gp/ZeroMean.h"
142 #include "features/Alphabet.h"
143 #include "features/StringFeatures.h"
144 #include "features/SubsetStack.h"
145 #include "features/LatentFeatures.h"
146 #include "features/DenseFeatures.h"
149 #include "features/FKFeatures.h"
151 #include "features/MatrixFeatures.h"
152 #include "features/PolyFeatures.h"
153 #include "features/DummyFeatures.h"
156 #include "features/Subset.h"
159 #include "features/SNPFeatures.h"
160 #include "features/SparseFeatures.h"
163 #include "features/DataGenerator.h"
171 #include "features/WDFeatures.h"
172 #include "features/TOPFeatures.h"
185 #include "statistics/HSIC.h"
192 #include "labels/StructuredLabels.h"
194 #include "labels/RegressionLabels.h"
196 #include "labels/MulticlassLabels.h"
197 #include "labels/LabelsFactory.h"
198 #include "labels/LatentLabels.h"
199 #include "labels/BinaryLabels.h"
200 #include "latent/LatentSOSVM.h"
201 #include "latent/LatentSVM.h"
202 #include "kernel/CustomKernel.h"
203 #include "kernel/Chi2Kernel.h"
204 #include "kernel/CauchyKernel.h"
205 #include "kernel/SigmoidKernel.h"
208 #include "kernel/WaveletKernel.h"
209 #include "kernel/ConstKernel.h"
210 #include "kernel/ProductKernel.h"
212 #include "kernel/GaussianKernel.h"
214 #include "kernel/TStudentKernel.h"
215 #include "kernel/PowerKernel.h"
217 #include "kernel/AUCKernel.h"
218 #include "kernel/ANOVAKernel.h"
219 #include "kernel/SphericalKernel.h"
220 #include "kernel/DistanceKernel.h"
222 #include "kernel/DiagKernel.h"
223 #include "kernel/PolyKernel.h"
225 #include "kernel/LinearARDKernel.h"
226 #include "kernel/SplineKernel.h"
227 #include "kernel/PyramidChi2.h"
228 #include "kernel/CircularKernel.h"
229 #include "kernel/WaveKernel.h"
230 #include "kernel/LogKernel.h"
234 #include "kernel/LinearKernel.h"
235 #include "kernel/CombinedKernel.h"
236 #include "kernel/BesselKernel.h"
278 #include "regression/svr/LibSVR.h"
279 #include "io/SimpleFile.h"
280 #include "io/LineReader.h"
281 #include "io/BinaryStream.h"
282 #include "io/CSVFile.h"
283 #include "io/LibSVMFile.h"
284 #include "io/MemoryMappedFile.h"
285 #include "io/BinaryFile.h"
287 #include "io/Parser.h"
288 #include "io/IOBuffer.h"
298 #include "metric/LMNN.h"
299 #include "clustering/KMeans.h"
300 #include "clustering/Hierarchical.h"
301 #include "clustering/GMM.h"
303 #include "ensemble/MeanRule.h"
304 #include "ensemble/MajorityVote.h"
330 #include "ui/GUIHMM.h"
331 #include "ui/GUIPluginEstimate.h"
332 #include "ui/GUIDistance.h"
333 #include "ui/GUIConverter.h"
334 #include "ui/GUIMath.h"
335 #include "ui/GUIClassifier.h"
336 #include "ui/GUIKernel.h"
337 #include "ui/GUIPreprocessor.h"
338 #include "ui/GUILabels.h"
339 #include "ui/GUITime.h"
340 #include "ui/GUIFeatures.h"
341 #include "ui/GUIStructure.h"
347 #include "preprocessor/SumOne.h"
349 #include "preprocessor/PNorm.h"
350 #include "preprocessor/NormOne.h"
351 #include "preprocessor/KernelPCA.h"
353 #include "preprocessor/LogPlusOne.h"
355 #include "preprocessor/PCA.h"
356 #include "lib/NGramTokenizer.h"
357 #include "lib/IndexBlockTree.h"
358 #include "lib/IndexBlock.h"
359 #include "lib/BitString.h"
360 #include "lib/IndexBlockGroup.h"
361 #include "lib/List.h"
362 #include "lib/Compressor.h"
363 #include "lib/DynamicArray.h"
364 #include "lib/Signal.h"
365 #include "lib/DelimiterTokenizer.h"
366 #include "lib/Hash.h"
367 #include "lib/Data.h"
368 #include "lib/Cache.h"
369 #include "lib/Time.h"
370 #include "lib/CircularBuffer.h"
371 #include "lib/Set.h"
372 #include "lib/DynamicObjectArray.h"
373 #include "lib/StructuredData.h"
380 #include "distributions/HMM.h"
381 #include "distributions/LinearHMM.h"
382 #include "distributions/GHMM.h"
383 #include "distributions/Gaussian.h"
384 #include "distributions/Histogram.h"
386 #include "structure/SOSVMHelper.h"
387 #include "structure/PlifArray.h"
388 #include "structure/FactorType.h"
389 #include "structure/HMSVMModel.h"
392 #include "structure/PlifMatrix.h"
393 #include "structure/CCSOSVM.h"
394 #include "structure/Plif.h"
395 #include "structure/FactorGraph.h"
396 #include "structure/Factor.h"
397 #include "structure/DynProg.h"
400 #include "structure/SegmentLoss.h"
401 #include "structure/DisjointSet.h"
403 #include "structure/TwoStateModel.h"
404 #include "structure/IntronList.h"
406 #include "structure/MAPInference.h"
407 #include "classifier/LDA.h"
411 #include "classifier/Perceptron.h"
415 #include "classifier/svm/SGDQN.h"
416 #include "classifier/svm/MPDSVM.h"
419 #include "classifier/svm/SVMLin.h"
420 #include "classifier/svm/SVMSGD.h"
424 #include "classifier/svm/SVM.h"
425 #include "classifier/svm/LibSVM.h"
426 #include "classifier/svm/GNPPSVM.h"
428 #include "classifier/svm/GNPPLib.h"
429 #include "classifier/svm/SVMOcas.h"
430 #include "classifier/svm/GPBTSVM.h"
431 #include "classifier/vw/VwParser.h"
442 #include "loss/LogLossMargin.h"
443 #include "loss/LogLoss.h"
444 #include "loss/SquaredHingeLoss.h"
445 #include "loss/SquaredLoss.h"
446 #include "loss/HingeLoss.h"
447 #include "loss/SmoothHingeLoss.h"
453 #include "distance/CosineDistance.h"
454 #include "distance/CustomDistance.h"
457 #include "distance/CanberraMetric.h"
459 #include "distance/GeodesicMetric.h"
464 #include "distance/KernelDistance.h"
467 #include "distance/JensenMetric.h"
468 using namespace shogun;
469 
470 #define SHOGUN_TEMPLATE_CLASS
471 #define SHOGUN_BASIC_CLASS
474 static SHOGUN_BASIC_CLASS CSGObject* __new_CSOBI(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CSOBI(): NULL; }
475 static SHOGUN_BASIC_CLASS CSGObject* __new_CFFSep(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CFFSep(): NULL; }
476 static SHOGUN_BASIC_CLASS CSGObject* __new_CJediSep(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CJediSep(): NULL; }
477 static SHOGUN_BASIC_CLASS CSGObject* __new_CJade(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CJade(): NULL; }
478 static SHOGUN_BASIC_CLASS CSGObject* __new_CUWedgeSep(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CUWedgeSep(): NULL; }
479 static SHOGUN_BASIC_CLASS CSGObject* __new_CFastICA(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CFastICA(): NULL; }
482 static SHOGUN_BASIC_CLASS CSGObject* __new_CManifoldSculpting(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CManifoldSculpting(): NULL; }
484 static SHOGUN_BASIC_CLASS CSGObject* __new_CFactorAnalysis(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CFactorAnalysis(): NULL; }
486 static SHOGUN_BASIC_CLASS CSGObject* __new_CHashedDocConverter(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CHashedDocConverter(): NULL; }
488 static SHOGUN_BASIC_CLASS CSGObject* __new_CIsomap(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CIsomap(): NULL; }
491 static SHOGUN_BASIC_CLASS CSGObject* __new_CDiffusionMaps(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CDiffusionMaps(): NULL; }
492 static SHOGUN_BASIC_CLASS CSGObject* __new_CLaplacianEigenmaps(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CLaplacianEigenmaps(): NULL; }
497 static SHOGUN_BASIC_CLASS CSGObject* __new_CLibLinearMTL(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CLibLinearMTL(): NULL; }
498 static SHOGUN_BASIC_CLASS CSGObject* __new_CTaskTree(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CTaskTree(): NULL; }
506 static SHOGUN_BASIC_CLASS CSGObject* __new_CTaskGroup(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CTaskGroup(): NULL; }
507 static SHOGUN_BASIC_CLASS CSGObject* __new_CTask(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CTask(): NULL; }
511 static SHOGUN_BASIC_CLASS CSGObject* __new_CNode(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CNode(): NULL; }
512 static SHOGUN_BASIC_CLASS CSGObject* __new_CTaxonomy(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CTaxonomy(): NULL; }
518 static SHOGUN_BASIC_CLASS CSGObject* __new_CDirectEigenSolver(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CDirectEigenSolver(): NULL; }
519 static SHOGUN_BASIC_CLASS CSGObject* __new_CLanczosEigenSolver(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CLanczosEigenSolver(): NULL; }
520 static SHOGUN_BASIC_CLASS CSGObject* __new_CNormalSampler(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CNormalSampler(): NULL; }
522 static SHOGUN_BASIC_CLASS CSGObject* __new_CDenseMatrixExactLog(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CDenseMatrixExactLog(): NULL; }
527 static SHOGUN_BASIC_CLASS CSGObject* __new_CDenseExactLogJob(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CDenseExactLogJob(): NULL; }
528 static SHOGUN_BASIC_CLASS CSGObject* __new_CLogDetEstimator(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CLogDetEstimator(): NULL; }
529 static SHOGUN_BASIC_CLASS CSGObject* __new_CStatistics(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CStatistics(): NULL; }
530 static SHOGUN_BASIC_CLASS CSGObject* __new_CMath(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CMath(): NULL; }
531 static SHOGUN_BASIC_CLASS CSGObject* __new_CUWedge(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CUWedge(): NULL; }
532 static SHOGUN_BASIC_CLASS CSGObject* __new_CJADiag(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CJADiag(): NULL; }
533 static SHOGUN_BASIC_CLASS CSGObject* __new_CJediDiag(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CJediDiag(): NULL; }
534 static SHOGUN_BASIC_CLASS CSGObject* __new_CFFDiag(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CFFDiag(): NULL; }
535 static SHOGUN_BASIC_CLASS CSGObject* __new_CQDiag(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CQDiag(): NULL; }
536 static SHOGUN_BASIC_CLASS CSGObject* __new_CJADiagOrth(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CJADiagOrth(): NULL; }
538 static SHOGUN_BASIC_CLASS CSGObject* __new_CIntegration(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CIntegration(): NULL; }
539 static SHOGUN_BASIC_CLASS CSGObject* __new_CRandom(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CRandom(): NULL; }
542 static SHOGUN_BASIC_CLASS CSGObject* __new_CMulticlassSVM(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CMulticlassSVM(): NULL; }
543 static SHOGUN_BASIC_CLASS CSGObject* __new_CMCLDA(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CMCLDA(): NULL; }
545 static SHOGUN_BASIC_CLASS CSGObject* __new_CGMNPLib(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CGMNPLib(): NULL; }
549 static SHOGUN_BASIC_CLASS CSGObject* __new_CMulticlassLibSVM(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CMulticlassLibSVM(): NULL; }
550 static SHOGUN_BASIC_CLASS CSGObject* __new_CMulticlassLibLinear(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CMulticlassLibLinear(): NULL; }
551 static SHOGUN_BASIC_CLASS CSGObject* __new_CGaussianNaiveBayes(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CGaussianNaiveBayes(): NULL; }
554 static SHOGUN_BASIC_CLASS CSGObject* __new_CRelaxedTree(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CRelaxedTree(): NULL; }
555 static SHOGUN_BASIC_CLASS CSGObject* __new_CQDA(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CQDA(): NULL; }
556 static SHOGUN_BASIC_CLASS CSGObject* __new_CScatterSVM(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CScatterSVM(): NULL; }
557 static SHOGUN_BASIC_CLASS CSGObject* __new_CGMNPSVM(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CGMNPSVM(): NULL; }
558 static SHOGUN_BASIC_CLASS CSGObject* __new_CShareBoost(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CShareBoost(): NULL; }
559 static SHOGUN_BASIC_CLASS CSGObject* __new_CMulticlassOCAS(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CMulticlassOCAS(): NULL; }
560 static SHOGUN_BASIC_CLASS CSGObject* __new_CECOCOVOEncoder(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CECOCOVOEncoder(): NULL; }
561 static SHOGUN_BASIC_CLASS CSGObject* __new_CECOCOVREncoder(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CECOCOVREncoder(): NULL; }
562 static SHOGUN_BASIC_CLASS CSGObject* __new_CECOCIHDDecoder(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CECOCIHDDecoder(): NULL; }
563 static SHOGUN_BASIC_CLASS CSGObject* __new_CECOCLLBDecoder(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CECOCLLBDecoder(): NULL; }
566 static SHOGUN_BASIC_CLASS CSGObject* __new_CECOCHDDecoder(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CECOCHDDecoder(): NULL; }
568 static SHOGUN_BASIC_CLASS CSGObject* __new_CECOCForestEncoder(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CECOCForestEncoder(): NULL; }
569 static SHOGUN_BASIC_CLASS CSGObject* __new_CECOCEDDecoder(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CECOCEDDecoder(): NULL; }
570 static SHOGUN_BASIC_CLASS CSGObject* __new_CECOCAEDDecoder(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CECOCAEDDecoder(): NULL; }
571 static SHOGUN_BASIC_CLASS CSGObject* __new_CECOCStrategy(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CECOCStrategy(): NULL; }
572 static SHOGUN_BASIC_CLASS CSGObject* __new_CKNN(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CKNN(): NULL; }
573 static SHOGUN_BASIC_CLASS CSGObject* __new_CLaRank(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CLaRank(): NULL; }
576 static SHOGUN_BASIC_CLASS CSGObject* __new_CBaggingMachine(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CBaggingMachine(): NULL; }
579 static SHOGUN_BASIC_CLASS CSGObject* __new_CKernelMachine(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CKernelMachine(): NULL; }
580 static SHOGUN_BASIC_CLASS CSGObject* __new_CLinearMachine(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CLinearMachine(): NULL; }
581 static SHOGUN_BASIC_CLASS CSGObject* __new_COnlineLinearMachine(EPrimitiveType g) { return g == PT_NOT_GENERIC? new COnlineLinearMachine(): NULL; }
584 static SHOGUN_BASIC_CLASS CSGObject* __new_CMachine(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CMachine(): NULL; }
585 static SHOGUN_BASIC_CLASS CSGObject* __new_CDistanceMachine(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CDistanceMachine(): NULL; }
588 static SHOGUN_BASIC_CLASS CSGObject* __new_CZeroMean(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CZeroMean(): NULL; }
589 static SHOGUN_BASIC_CLASS CSGObject* __new_CEPInferenceMethod(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CEPInferenceMethod(): NULL; }
590 static SHOGUN_BASIC_CLASS CSGObject* __new_CLogitLikelihood(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CLogitLikelihood(): NULL; }
591 static SHOGUN_BASIC_CLASS CSGObject* __new_CFITCInferenceMethod(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CFITCInferenceMethod(): NULL; }
592 static SHOGUN_BASIC_CLASS CSGObject* __new_CProbitLikelihood(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CProbitLikelihood(): NULL; }
593 static SHOGUN_BASIC_CLASS CSGObject* __new_CGaussianLikelihood(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CGaussianLikelihood(): NULL; }
594 static SHOGUN_BASIC_CLASS CSGObject* __new_CExactInferenceMethod(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CExactInferenceMethod(): NULL; }
595 static SHOGUN_BASIC_CLASS CSGObject* __new_CStudentsTLikelihood(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CStudentsTLikelihood(): NULL; }
597 static SHOGUN_BASIC_CLASS CSGObject* __new_CAlphabet(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CAlphabet(): NULL; }
598 static SHOGUN_BASIC_CLASS CSGObject* __new_CSubsetStack(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CSubsetStack(): NULL; }
599 static SHOGUN_BASIC_CLASS CSGObject* __new_CLatentFeatures(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CLatentFeatures(): NULL; }
602 static SHOGUN_BASIC_CLASS CSGObject* __new_CFKFeatures(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CFKFeatures(): NULL; }
603 static SHOGUN_BASIC_CLASS CSGObject* __new_CSparsePolyFeatures(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CSparsePolyFeatures(): NULL; }
604 static SHOGUN_BASIC_CLASS CSGObject* __new_CPolyFeatures(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CPolyFeatures(): NULL; }
605 static SHOGUN_BASIC_CLASS CSGObject* __new_CDummyFeatures(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CDummyFeatures(): NULL; }
606 static SHOGUN_BASIC_CLASS CSGObject* __new_CLBPPyrDotFeatures(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CLBPPyrDotFeatures(): NULL; }
607 static SHOGUN_BASIC_CLASS CSGObject* __new_CSubset(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CSubset(): NULL; }
608 static SHOGUN_BASIC_CLASS CSGObject* __new_CStreamingVwFeatures(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CStreamingVwFeatures(): NULL; }
613 static SHOGUN_BASIC_CLASS CSGObject* __new_CBinnedDotFeatures(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CBinnedDotFeatures(): NULL; }
614 static SHOGUN_BASIC_CLASS CSGObject* __new_CSNPFeatures(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CSNPFeatures(): NULL; }
615 static SHOGUN_BASIC_CLASS CSGObject* __new_CExplicitSpecFeatures(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CExplicitSpecFeatures(): NULL; }
616 static SHOGUN_BASIC_CLASS CSGObject* __new_CDataGenerator(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CDataGenerator(): NULL; }
617 static SHOGUN_BASIC_CLASS CSGObject* __new_CHashedWDFeatures(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CHashedWDFeatures(): NULL; }
618 static SHOGUN_BASIC_CLASS CSGObject* __new_CFactorGraphFeatures(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CFactorGraphFeatures(): NULL; }
619 static SHOGUN_BASIC_CLASS CSGObject* __new_CCombinedDotFeatures(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CCombinedDotFeatures(): NULL; }
620 static SHOGUN_BASIC_CLASS CSGObject* __new_CRealFileFeatures(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CRealFileFeatures(): NULL; }
621 static SHOGUN_BASIC_CLASS CSGObject* __new_CHashedDocDotFeatures(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CHashedDocDotFeatures(): NULL; }
622 static SHOGUN_BASIC_CLASS CSGObject* __new_CWDFeatures(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CWDFeatures(): NULL; }
623 static SHOGUN_BASIC_CLASS CSGObject* __new_CTOPFeatures(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CTOPFeatures(): NULL; }
624 static SHOGUN_BASIC_CLASS CSGObject* __new_CCombinedFeatures(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CCombinedFeatures(): NULL; }
627 static SHOGUN_BASIC_CLASS CSGObject* __new_CHSIC(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CHSIC(): NULL; }
629 static SHOGUN_BASIC_CLASS CSGObject* __new_CLinearTimeMMD(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CLinearTimeMMD(): NULL; }
630 static SHOGUN_BASIC_CLASS CSGObject* __new_CQuadraticTimeMMD(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CQuadraticTimeMMD(): NULL; }
632 static SHOGUN_BASIC_CLASS CSGObject* __new_CKernelMeanMatching(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CKernelMeanMatching(): NULL; }
634 static SHOGUN_BASIC_CLASS CSGObject* __new_CStructuredLabels(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CStructuredLabels(): NULL; }
636 static SHOGUN_BASIC_CLASS CSGObject* __new_CFactorGraphLabels(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CFactorGraphLabels(): NULL; }
637 static SHOGUN_BASIC_CLASS CSGObject* __new_CRegressionLabels(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CRegressionLabels(): NULL; }
639 static SHOGUN_BASIC_CLASS CSGObject* __new_CMulticlassLabels(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CMulticlassLabels(): NULL; }
640 static SHOGUN_BASIC_CLASS CSGObject* __new_CLabelsFactory(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CLabelsFactory(): NULL; }
641 static SHOGUN_BASIC_CLASS CSGObject* __new_CLatentLabels(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CLatentLabels(): NULL; }
642 static SHOGUN_BASIC_CLASS CSGObject* __new_CBinaryLabels(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CBinaryLabels(): NULL; }
643 static SHOGUN_BASIC_CLASS CSGObject* __new_CLatentSOSVM(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CLatentSOSVM(): NULL; }
644 static SHOGUN_BASIC_CLASS CSGObject* __new_CLatentSVM(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CLatentSVM(): NULL; }
645 static SHOGUN_BASIC_CLASS CSGObject* __new_CCustomKernel(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CCustomKernel(): NULL; }
646 static SHOGUN_BASIC_CLASS CSGObject* __new_CChi2Kernel(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CChi2Kernel(): NULL; }
647 static SHOGUN_BASIC_CLASS CSGObject* __new_CCauchyKernel(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CCauchyKernel(): NULL; }
648 static SHOGUN_BASIC_CLASS CSGObject* __new_CSigmoidKernel(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CSigmoidKernel(): NULL; }
650 static SHOGUN_BASIC_CLASS CSGObject* __new_CMultiquadricKernel(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CMultiquadricKernel(): NULL; }
651 static SHOGUN_BASIC_CLASS CSGObject* __new_CWaveletKernel(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CWaveletKernel(): NULL; }
652 static SHOGUN_BASIC_CLASS CSGObject* __new_CConstKernel(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CConstKernel(): NULL; }
653 static SHOGUN_BASIC_CLASS CSGObject* __new_CProductKernel(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CProductKernel(): NULL; }
654 static SHOGUN_BASIC_CLASS CSGObject* __new_CJensenShannonKernel(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CJensenShannonKernel(): NULL; }
655 static SHOGUN_BASIC_CLASS CSGObject* __new_CGaussianKernel(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CGaussianKernel(): NULL; }
656 static SHOGUN_BASIC_CLASS CSGObject* __new_CGaussianShiftKernel(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CGaussianShiftKernel(): NULL; }
657 static SHOGUN_BASIC_CLASS CSGObject* __new_CTStudentKernel(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CTStudentKernel(): NULL; }
658 static SHOGUN_BASIC_CLASS CSGObject* __new_CPowerKernel(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CPowerKernel(): NULL; }
660 static SHOGUN_BASIC_CLASS CSGObject* __new_CAUCKernel(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CAUCKernel(): NULL; }
661 static SHOGUN_BASIC_CLASS CSGObject* __new_CANOVAKernel(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CANOVAKernel(): NULL; }
662 static SHOGUN_BASIC_CLASS CSGObject* __new_CSphericalKernel(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CSphericalKernel(): NULL; }
663 static SHOGUN_BASIC_CLASS CSGObject* __new_CDistanceKernel(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CDistanceKernel(): NULL; }
667 static SHOGUN_BASIC_CLASS CSGObject* __new_CSpectrumRBFKernel(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CSpectrumRBFKernel(): NULL; }
672 static SHOGUN_BASIC_CLASS CSGObject* __new_CCommWordStringKernel(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CCommWordStringKernel(): NULL; }
675 static SHOGUN_BASIC_CLASS CSGObject* __new_CLinearStringKernel(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CLinearStringKernel(): NULL; }
676 static SHOGUN_BASIC_CLASS CSGObject* __new_COligoStringKernel(EPrimitiveType g) { return g == PT_NOT_GENERIC? new COligoStringKernel(): NULL; }
686 static SHOGUN_BASIC_CLASS CSGObject* __new_CSNPStringKernel(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CSNPStringKernel(): NULL; }
687 static SHOGUN_BASIC_CLASS CSGObject* __new_CExponentialKernel(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CExponentialKernel(): NULL; }
688 static SHOGUN_BASIC_CLASS CSGObject* __new_CDiagKernel(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CDiagKernel(): NULL; }
689 static SHOGUN_BASIC_CLASS CSGObject* __new_CPolyKernel(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CPolyKernel(): NULL; }
691 static SHOGUN_BASIC_CLASS CSGObject* __new_CLinearARDKernel(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CLinearARDKernel(): NULL; }
692 static SHOGUN_BASIC_CLASS CSGObject* __new_CSplineKernel(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CSplineKernel(): NULL; }
693 static SHOGUN_BASIC_CLASS CSGObject* __new_CPyramidChi2(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CPyramidChi2(): NULL; }
694 static SHOGUN_BASIC_CLASS CSGObject* __new_CCircularKernel(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CCircularKernel(): NULL; }
700 static SHOGUN_BASIC_CLASS CSGObject* __new_CDiceKernelNormalizer(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CDiceKernelNormalizer(): NULL; }
705 static SHOGUN_BASIC_CLASS CSGObject* __new_CWaveKernel(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CWaveKernel(): NULL; }
706 static SHOGUN_BASIC_CLASS CSGObject* __new_CLogKernel(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CLogKernel(): NULL; }
707 static SHOGUN_BASIC_CLASS CSGObject* __new_CGaussianARDKernel(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CGaussianARDKernel(): NULL; }
710 static SHOGUN_BASIC_CLASS CSGObject* __new_CLinearKernel(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CLinearKernel(): NULL; }
711 static SHOGUN_BASIC_CLASS CSGObject* __new_CCombinedKernel(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CCombinedKernel(): NULL; }
712 static SHOGUN_BASIC_CLASS CSGObject* __new_CBesselKernel(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CBesselKernel(): NULL; }
716 static SHOGUN_BASIC_CLASS CSGObject* __new_CLibLinearRegression(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CLibLinearRegression(): NULL; }
717 static SHOGUN_BASIC_CLASS CSGObject* __new_CMKLRegression(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CMKLRegression(): NULL; }
718 static SHOGUN_BASIC_CLASS CSGObject* __new_CLibSVR(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CLibSVR(): NULL; }
721 static SHOGUN_BASIC_CLASS CSGObject* __new_CLeastAngleRegression(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CLeastAngleRegression(): NULL; }
722 static SHOGUN_BASIC_CLASS CSGObject* __new_CLineReader(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CLineReader(): NULL; }
723 static SHOGUN_BASIC_CLASS CSGObject* __new_CStreamingAsciiFile(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CStreamingAsciiFile(): NULL; }
724 static SHOGUN_BASIC_CLASS CSGObject* __new_CStreamingVwCacheFile(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CStreamingVwCacheFile(): NULL; }
725 static SHOGUN_BASIC_CLASS CSGObject* __new_CStreamingVwFile(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CStreamingVwFile(): NULL; }
726 static SHOGUN_BASIC_CLASS CSGObject* __new_CStreamingFile(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CStreamingFile(): NULL; }
728 static SHOGUN_BASIC_CLASS CSGObject* __new_CCSVFile(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CCSVFile(): NULL; }
729 static SHOGUN_BASIC_CLASS CSGObject* __new_CLibSVMFile(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CLibSVMFile(): NULL; }
730 static SHOGUN_BASIC_CLASS CSGObject* __new_CBinaryFile(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CBinaryFile(): NULL; }
732 static SHOGUN_BASIC_CLASS CSGObject* __new_CParser(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CParser(): NULL; }
733 static SHOGUN_BASIC_CLASS CSGObject* __new_CIOBuffer(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CIOBuffer(): NULL; }
734 static SHOGUN_BASIC_CLASS CSGObject* __new_CLMNN(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CLMNN(): NULL; }
735 static SHOGUN_BASIC_CLASS CSGObject* __new_CLMNNStatistics(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CLMNNStatistics(): NULL; }
736 static SHOGUN_BASIC_CLASS CSGObject* __new_CKMeans(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CKMeans(): NULL; }
737 static SHOGUN_BASIC_CLASS CSGObject* __new_CHierarchical(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CHierarchical(): NULL; }
738 static SHOGUN_BASIC_CLASS CSGObject* __new_CGMM(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CGMM(): NULL; }
739 static SHOGUN_BASIC_CLASS CSGObject* __new_CTron(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CTron(): NULL; }
740 static SHOGUN_BASIC_CLASS CSGObject* __new_CWeightedMajorityVote(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CWeightedMajorityVote(): NULL; }
741 static SHOGUN_BASIC_CLASS CSGObject* __new_CMeanRule(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CMeanRule(): NULL; }
742 static SHOGUN_BASIC_CLASS CSGObject* __new_CMajorityVote(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CMajorityVote(): NULL; }
746 static SHOGUN_BASIC_CLASS CSGObject* __new_CStructuredAccuracy(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CStructuredAccuracy(): NULL; }
748 static SHOGUN_BASIC_CLASS CSGObject* __new_CClusteringAccuracy(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CClusteringAccuracy(): NULL; }
750 static SHOGUN_BASIC_CLASS CSGObject* __new_CCrossValidation(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CCrossValidation(): NULL; }
751 static SHOGUN_BASIC_CLASS CSGObject* __new_CGradientCriterion(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CGradientCriterion(): NULL; }
753 static SHOGUN_BASIC_CLASS CSGObject* __new_CAccuracyMeasure(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CAccuracyMeasure(): NULL; }
754 static SHOGUN_BASIC_CLASS CSGObject* __new_CErrorRateMeasure(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CErrorRateMeasure(): NULL; }
755 static SHOGUN_BASIC_CLASS CSGObject* __new_CBALMeasure(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CBALMeasure(): NULL; }
756 static SHOGUN_BASIC_CLASS CSGObject* __new_CWRACCMeasure(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CWRACCMeasure(): NULL; }
757 static SHOGUN_BASIC_CLASS CSGObject* __new_CF1Measure(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CF1Measure(): NULL; }
759 static SHOGUN_BASIC_CLASS CSGObject* __new_CRecallMeasure(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CRecallMeasure(): NULL; }
760 static SHOGUN_BASIC_CLASS CSGObject* __new_CPrecisionMeasure(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CPrecisionMeasure(): NULL; }
761 static SHOGUN_BASIC_CLASS CSGObject* __new_CSpecificityMeasure(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CSpecificityMeasure(): NULL; }
762 static SHOGUN_BASIC_CLASS CSGObject* __new_CMulticlassAccuracy(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CMulticlassAccuracy(): NULL; }
764 static SHOGUN_BASIC_CLASS CSGObject* __new_CGradientResult(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CGradientResult(): NULL; }
765 static SHOGUN_BASIC_CLASS CSGObject* __new_CROCEvaluation(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CROCEvaluation(): NULL; }
767 static SHOGUN_BASIC_CLASS CSGObject* __new_CMeanSquaredError(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CMeanSquaredError(): NULL; }
768 static SHOGUN_BASIC_CLASS CSGObject* __new_CPRCEvaluation(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CPRCEvaluation(): NULL; }
770 static SHOGUN_BASIC_CLASS CSGObject* __new_CGradientEvaluation(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CGradientEvaluation(): NULL; }
771 static SHOGUN_BASIC_CLASS CSGObject* __new_CMeanAbsoluteError(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CMeanAbsoluteError(): NULL; }
772 static SHOGUN_BASIC_CLASS CSGObject* __new_CMeanSquaredLogError(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CMeanSquaredLogError(): NULL; }
777 static SHOGUN_BASIC_CLASS CSGObject* __new_CParameterCombination(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CParameterCombination(): NULL; }
778 static SHOGUN_BASIC_CLASS CSGObject* __new_CGUIHMM(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CGUIHMM(): NULL; }
779 static SHOGUN_BASIC_CLASS CSGObject* __new_CGUIPluginEstimate(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CGUIPluginEstimate(): NULL; }
780 static SHOGUN_BASIC_CLASS CSGObject* __new_CGUIDistance(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CGUIDistance(): NULL; }
781 static SHOGUN_BASIC_CLASS CSGObject* __new_CGUIConverter(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CGUIConverter(): NULL; }
782 static SHOGUN_BASIC_CLASS CSGObject* __new_CGUIMath(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CGUIMath(): NULL; }
783 static SHOGUN_BASIC_CLASS CSGObject* __new_CGUIClassifier(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CGUIClassifier(): NULL; }
784 static SHOGUN_BASIC_CLASS CSGObject* __new_CGUIKernel(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CGUIKernel(): NULL; }
785 static SHOGUN_BASIC_CLASS CSGObject* __new_CGUIPreprocessor(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CGUIPreprocessor(): NULL; }
786 static SHOGUN_BASIC_CLASS CSGObject* __new_CGUILabels(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CGUILabels(): NULL; }
787 static SHOGUN_BASIC_CLASS CSGObject* __new_CGUITime(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CGUITime(): NULL; }
788 static SHOGUN_BASIC_CLASS CSGObject* __new_CGUIFeatures(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CGUIFeatures(): NULL; }
789 static SHOGUN_BASIC_CLASS CSGObject* __new_CGUIStructure(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CGUIStructure(): NULL; }
790 static SHOGUN_BASIC_CLASS CSGObject* __new_CSortUlongString(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CSortUlongString(): NULL; }
791 static SHOGUN_BASIC_CLASS CSGObject* __new_CRescaleFeatures(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CRescaleFeatures(): NULL; }
793 static SHOGUN_BASIC_CLASS CSGObject* __new_CSortWordString(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CSortWordString(): NULL; }
794 static SHOGUN_BASIC_CLASS CSGObject* __new_CSumOne(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CSumOne(): NULL; }
796 static SHOGUN_BASIC_CLASS CSGObject* __new_CPNorm(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CPNorm(): NULL; }
797 static SHOGUN_BASIC_CLASS CSGObject* __new_CNormOne(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CNormOne(): NULL; }
798 static SHOGUN_BASIC_CLASS CSGObject* __new_CKernelPCA(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CKernelPCA(): NULL; }
799 static SHOGUN_BASIC_CLASS CSGObject* __new_CHomogeneousKernelMap(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CHomogeneousKernelMap(): NULL; }
800 static SHOGUN_BASIC_CLASS CSGObject* __new_CLogPlusOne(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CLogPlusOne(): NULL; }
801 static SHOGUN_BASIC_CLASS CSGObject* __new_CPruneVarSubMean(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CPruneVarSubMean(): NULL; }
802 static SHOGUN_BASIC_CLASS CSGObject* __new_CPCA(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CPCA(): NULL; }
803 static SHOGUN_BASIC_CLASS CSGObject* __new_CNGramTokenizer(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CNGramTokenizer(): NULL; }
804 static SHOGUN_BASIC_CLASS CSGObject* __new_CIndexBlockTree(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CIndexBlockTree(): NULL; }
805 static SHOGUN_BASIC_CLASS CSGObject* __new_CIndexBlock(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CIndexBlock(): NULL; }
806 static SHOGUN_BASIC_CLASS CSGObject* __new_CBitString(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CBitString(): NULL; }
807 static SHOGUN_BASIC_CLASS CSGObject* __new_CIndexBlockGroup(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CIndexBlockGroup(): NULL; }
808 static SHOGUN_BASIC_CLASS CSGObject* __new_CListElement(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CListElement(): NULL; }
809 static SHOGUN_BASIC_CLASS CSGObject* __new_CList(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CList(): NULL; }
810 static SHOGUN_BASIC_CLASS CSGObject* __new_CCompressor(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CCompressor(): NULL; }
811 static SHOGUN_BASIC_CLASS CSGObject* __new_CJobResult(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CJobResult(): NULL; }
813 static SHOGUN_BASIC_CLASS CSGObject* __new_CSignal(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CSignal(): NULL; }
814 static SHOGUN_BASIC_CLASS CSGObject* __new_CDelimiterTokenizer(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CDelimiterTokenizer(): NULL; }
815 static SHOGUN_BASIC_CLASS CSGObject* __new_CHash(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CHash(): NULL; }
816 static SHOGUN_BASIC_CLASS CSGObject* __new_CData(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CData(): NULL; }
817 static SHOGUN_BASIC_CLASS CSGObject* __new_CTime(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CTime(): NULL; }
818 static SHOGUN_BASIC_CLASS CSGObject* __new_CCircularBuffer(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CCircularBuffer(): NULL; }
819 static SHOGUN_BASIC_CLASS CSGObject* __new_CDynamicObjectArray(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CDynamicObjectArray(): NULL; }
820 static SHOGUN_BASIC_CLASS CSGObject* __new_CStructuredData(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CStructuredData(): NULL; }
821 static SHOGUN_BASIC_CLASS CSGObject* __new_CPositionalPWM(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CPositionalPWM(): NULL; }
822 static SHOGUN_BASIC_CLASS CSGObject* __new_CHMM(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CHMM(): NULL; }
823 static SHOGUN_BASIC_CLASS CSGObject* __new_CLinearHMM(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CLinearHMM(): NULL; }
824 static SHOGUN_BASIC_CLASS CSGObject* __new_CGaussianDistribution(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CGaussianDistribution(): NULL; }
825 static SHOGUN_BASIC_CLASS CSGObject* __new_CGHMM(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CGHMM(): NULL; }
826 static SHOGUN_BASIC_CLASS CSGObject* __new_CGaussian(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CGaussian(): NULL; }
827 static SHOGUN_BASIC_CLASS CSGObject* __new_CHistogram(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CHistogram(): NULL; }
828 static SHOGUN_BASIC_CLASS CSGObject* __new_CSOSVMHelper(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CSOSVMHelper(): NULL; }
829 static SHOGUN_BASIC_CLASS CSGObject* __new_CPlifArray(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CPlifArray(): NULL; }
830 static SHOGUN_BASIC_CLASS CSGObject* __new_CFactorType(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CFactorType(): NULL; }
831 static SHOGUN_BASIC_CLASS CSGObject* __new_CTableFactorType(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CTableFactorType(): NULL; }
832 static SHOGUN_BASIC_CLASS CSGObject* __new_CHMSVMModel(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CHMSVMModel(): NULL; }
833 static SHOGUN_BASIC_CLASS CSGObject* __new_CStochasticSOSVM(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CStochasticSOSVM(): NULL; }
834 static SHOGUN_BASIC_CLASS CSGObject* __new_CSequence(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CSequence(): NULL; }
835 static SHOGUN_BASIC_CLASS CSGObject* __new_CSequenceLabels(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CSequenceLabels(): NULL; }
836 static SHOGUN_BASIC_CLASS CSGObject* __new_CPlifMatrix(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CPlifMatrix(): NULL; }
837 static SHOGUN_BASIC_CLASS CSGObject* __new_CCCSOSVM(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CCCSOSVM(): NULL; }
838 static SHOGUN_BASIC_CLASS CSGObject* __new_CPlif(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CPlif(): NULL; }
839 static SHOGUN_BASIC_CLASS CSGObject* __new_CFactorGraph(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CFactorGraph(): NULL; }
840 static SHOGUN_BASIC_CLASS CSGObject* __new_CFactorDataSource(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CFactorDataSource(): NULL; }
841 static SHOGUN_BASIC_CLASS CSGObject* __new_CFactor(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CFactor(): NULL; }
842 static SHOGUN_BASIC_CLASS CSGObject* __new_CDynProg(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CDynProg(): NULL; }
843 static SHOGUN_BASIC_CLASS CSGObject* __new_CMulticlassSOLabels(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CMulticlassSOLabels(): NULL; }
844 static SHOGUN_BASIC_CLASS CSGObject* __new_CFactorGraphModel(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CFactorGraphModel(): NULL; }
845 static SHOGUN_BASIC_CLASS CSGObject* __new_CSegmentLoss(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CSegmentLoss(): NULL; }
846 static SHOGUN_BASIC_CLASS CSGObject* __new_CDisjointSet(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CDisjointSet(): NULL; }
847 static SHOGUN_BASIC_CLASS CSGObject* __new_CMulticlassModel(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CMulticlassModel(): NULL; }
848 static SHOGUN_BASIC_CLASS CSGObject* __new_CTwoStateModel(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CTwoStateModel(): NULL; }
849 static SHOGUN_BASIC_CLASS CSGObject* __new_CIntronList(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CIntronList(): NULL; }
850 static SHOGUN_BASIC_CLASS CSGObject* __new_CDualLibQPBMSOSVM(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CDualLibQPBMSOSVM(): NULL; }
851 static SHOGUN_BASIC_CLASS CSGObject* __new_CMAPInference(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CMAPInference(): NULL; }
852 static SHOGUN_BASIC_CLASS CSGObject* __new_CLDA(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CLDA(): NULL; }
853 static SHOGUN_BASIC_CLASS CSGObject* __new_COnlineLibLinear(EPrimitiveType g) { return g == PT_NOT_GENERIC? new COnlineLibLinear(): NULL; }
854 static SHOGUN_BASIC_CLASS CSGObject* __new_CSGDQN(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CSGDQN(): NULL; }
855 static SHOGUN_BASIC_CLASS CSGObject* __new_CMPDSVM(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CMPDSVM(): NULL; }
856 static SHOGUN_BASIC_CLASS CSGObject* __new_CLibSVMOneClass(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CLibSVMOneClass(): NULL; }
857 static SHOGUN_BASIC_CLASS CSGObject* __new_COnlineSVMSGD(EPrimitiveType g) { return g == PT_NOT_GENERIC? new COnlineSVMSGD(): NULL; }
858 static SHOGUN_BASIC_CLASS CSGObject* __new_CSVMLin(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CSVMLin(): NULL; }
859 static SHOGUN_BASIC_CLASS CSGObject* __new_CSVMSGD(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CSVMSGD(): NULL; }
860 static SHOGUN_BASIC_CLASS CSGObject* __new_CWDSVMOcas(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CWDSVMOcas(): NULL; }
861 static SHOGUN_BASIC_CLASS CSGObject* __new_CLibLinear(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CLibLinear(): NULL; }
862 static SHOGUN_BASIC_CLASS CSGObject* __new_CQPBSVMLib(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CQPBSVMLib(): NULL; }
863 static SHOGUN_BASIC_CLASS CSGObject* __new_CSVM(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CSVM(): NULL; }
864 static SHOGUN_BASIC_CLASS CSGObject* __new_CLibSVM(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CLibSVM(): NULL; }
865 static SHOGUN_BASIC_CLASS CSGObject* __new_CGNPPSVM(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CGNPPSVM(): NULL; }
866 static SHOGUN_BASIC_CLASS CSGObject* __new_CNewtonSVM(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CNewtonSVM(): NULL; }
867 static SHOGUN_BASIC_CLASS CSGObject* __new_CGNPPLib(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CGNPPLib(): NULL; }
868 static SHOGUN_BASIC_CLASS CSGObject* __new_CSVMOcas(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CSVMOcas(): NULL; }
869 static SHOGUN_BASIC_CLASS CSGObject* __new_CGPBTSVM(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CGPBTSVM(): NULL; }
870 static SHOGUN_BASIC_CLASS CSGObject* __new_CNearestCentroid(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CNearestCentroid(): NULL; }
871 static SHOGUN_BASIC_CLASS CSGObject* __new_CVwAdaptiveLearner(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CVwAdaptiveLearner(): NULL; }
872 static SHOGUN_BASIC_CLASS CSGObject* __new_CVwNonAdaptiveLearner(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CVwNonAdaptiveLearner(): NULL; }
873 static SHOGUN_BASIC_CLASS CSGObject* __new_CVwParser(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CVwParser(): NULL; }
874 static SHOGUN_BASIC_CLASS CSGObject* __new_CVowpalWabbit(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CVowpalWabbit(): NULL; }
875 static SHOGUN_BASIC_CLASS CSGObject* __new_CVwNativeCacheWriter(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CVwNativeCacheWriter(): NULL; }
876 static SHOGUN_BASIC_CLASS CSGObject* __new_CVwNativeCacheReader(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CVwNativeCacheReader(): NULL; }
877 static SHOGUN_BASIC_CLASS CSGObject* __new_CVwEnvironment(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CVwEnvironment(): NULL; }
878 static SHOGUN_BASIC_CLASS CSGObject* __new_CVwRegressor(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CVwRegressor(): NULL; }
880 static SHOGUN_BASIC_CLASS CSGObject* __new_CMKLOneClass(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CMKLOneClass(): NULL; }
881 static SHOGUN_BASIC_CLASS CSGObject* __new_CMKLMulticlass(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CMKLMulticlass(): NULL; }
882 static SHOGUN_BASIC_CLASS CSGObject* __new_CMKLClassification(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CMKLClassification(): NULL; }
883 static SHOGUN_BASIC_CLASS CSGObject* __new_CAveragedPerceptron(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CAveragedPerceptron(): NULL; }
884 static SHOGUN_BASIC_CLASS CSGObject* __new_CPerceptron(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CPerceptron(): NULL; }
885 static SHOGUN_BASIC_CLASS CSGObject* __new_CPluginEstimate(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CPluginEstimate(): NULL; }
887 static SHOGUN_BASIC_CLASS CSGObject* __new_CLogLossMargin(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CLogLossMargin(): NULL; }
888 static SHOGUN_BASIC_CLASS CSGObject* __new_CLogLoss(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CLogLoss(): NULL; }
889 static SHOGUN_BASIC_CLASS CSGObject* __new_CSquaredHingeLoss(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CSquaredHingeLoss(): NULL; }
890 static SHOGUN_BASIC_CLASS CSGObject* __new_CSquaredLoss(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CSquaredLoss(): NULL; }
891 static SHOGUN_BASIC_CLASS CSGObject* __new_CHingeLoss(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CHingeLoss(): NULL; }
892 static SHOGUN_BASIC_CLASS CSGObject* __new_CSmoothHingeLoss(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CSmoothHingeLoss(): NULL; }
894 static SHOGUN_BASIC_CLASS CSGObject* __new_CMinkowskiMetric(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CMinkowskiMetric(): NULL; }
895 static SHOGUN_BASIC_CLASS CSGObject* __new_CTanimotoDistance(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CTanimotoDistance(): NULL; }
897 static SHOGUN_BASIC_CLASS CSGObject* __new_CCanberraWordDistance(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CCanberraWordDistance(): NULL; }
898 static SHOGUN_BASIC_CLASS CSGObject* __new_CCosineDistance(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CCosineDistance(): NULL; }
899 static SHOGUN_BASIC_CLASS CSGObject* __new_CCustomDistance(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CCustomDistance(): NULL; }
900 static SHOGUN_BASIC_CLASS CSGObject* __new_CBrayCurtisDistance(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CBrayCurtisDistance(): NULL; }
901 static SHOGUN_BASIC_CLASS CSGObject* __new_CEuclideanDistance(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CEuclideanDistance(): NULL; }
902 static SHOGUN_BASIC_CLASS CSGObject* __new_CCanberraMetric(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CCanberraMetric(): NULL; }
903 static SHOGUN_BASIC_CLASS CSGObject* __new_CChiSquareDistance(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CChiSquareDistance(): NULL; }
904 static SHOGUN_BASIC_CLASS CSGObject* __new_CGeodesicMetric(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CGeodesicMetric(): NULL; }
905 static SHOGUN_BASIC_CLASS CSGObject* __new_CChebyshewMetric(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CChebyshewMetric(): NULL; }
906 static SHOGUN_BASIC_CLASS CSGObject* __new_CHammingWordDistance(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CHammingWordDistance(): NULL; }
907 static SHOGUN_BASIC_CLASS CSGObject* __new_CMahalanobisDistance(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CMahalanobisDistance(): NULL; }
908 static SHOGUN_BASIC_CLASS CSGObject* __new_CManhattanMetric(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CManhattanMetric(): NULL; }
909 static SHOGUN_BASIC_CLASS CSGObject* __new_CKernelDistance(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CKernelDistance(): NULL; }
912 static SHOGUN_BASIC_CLASS CSGObject* __new_CJensenMetric(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CJensenMetric(): NULL; }
914 {
915  switch (g)
916  {
917  case PT_BOOL: return new CTreeMachine<bool>();
918  case PT_CHAR: return new CTreeMachine<char>();
919  case PT_INT8: return new CTreeMachine<int8_t>();
920  case PT_UINT8: return new CTreeMachine<uint8_t>();
921  case PT_INT16: return new CTreeMachine<int16_t>();
922  case PT_UINT16: return new CTreeMachine<uint16_t>();
923  case PT_INT32: return new CTreeMachine<int32_t>();
924  case PT_UINT32: return new CTreeMachine<uint32_t>();
925  case PT_INT64: return new CTreeMachine<int64_t>();
926  case PT_UINT64: return new CTreeMachine<uint64_t>();
927  case PT_FLOAT32: return new CTreeMachine<float32_t>();
928  case PT_FLOAT64: return new CTreeMachine<float64_t>();
929  case PT_FLOATMAX: return new CTreeMachine<floatmax_t>();
930  case PT_COMPLEX128: return NULL;
931  case PT_SGOBJECT:
932  case PT_UNDEFINED: return NULL;
933  }
934  return NULL;
935 }
937 {
938  switch (g)
939  {
940  case PT_BOOL: return new CStringFeatures<bool>();
941  case PT_CHAR: return new CStringFeatures<char>();
942  case PT_INT8: return new CStringFeatures<int8_t>();
943  case PT_UINT8: return new CStringFeatures<uint8_t>();
944  case PT_INT16: return new CStringFeatures<int16_t>();
945  case PT_UINT16: return new CStringFeatures<uint16_t>();
946  case PT_INT32: return new CStringFeatures<int32_t>();
947  case PT_UINT32: return new CStringFeatures<uint32_t>();
948  case PT_INT64: return new CStringFeatures<int64_t>();
949  case PT_UINT64: return new CStringFeatures<uint64_t>();
950  case PT_FLOAT32: return new CStringFeatures<float32_t>();
951  case PT_FLOAT64: return new CStringFeatures<float64_t>();
952  case PT_FLOATMAX: return new CStringFeatures<floatmax_t>();
953  case PT_COMPLEX128: return NULL;
954  case PT_SGOBJECT:
955  case PT_UNDEFINED: return NULL;
956  }
957  return NULL;
958 }
960 {
961  switch (g)
962  {
963  case PT_BOOL: return new CDenseFeatures<bool>();
964  case PT_CHAR: return new CDenseFeatures<char>();
965  case PT_INT8: return new CDenseFeatures<int8_t>();
966  case PT_UINT8: return new CDenseFeatures<uint8_t>();
967  case PT_INT16: return new CDenseFeatures<int16_t>();
968  case PT_UINT16: return new CDenseFeatures<uint16_t>();
969  case PT_INT32: return new CDenseFeatures<int32_t>();
970  case PT_UINT32: return new CDenseFeatures<uint32_t>();
971  case PT_INT64: return new CDenseFeatures<int64_t>();
972  case PT_UINT64: return new CDenseFeatures<uint64_t>();
973  case PT_FLOAT32: return new CDenseFeatures<float32_t>();
974  case PT_FLOAT64: return new CDenseFeatures<float64_t>();
975  case PT_FLOATMAX: return new CDenseFeatures<floatmax_t>();
976  case PT_COMPLEX128: return NULL;
977  case PT_SGOBJECT:
978  case PT_UNDEFINED: return NULL;
979  }
980  return NULL;
981 }
983 {
984  switch (g)
985  {
986  case PT_BOOL: return new CMatrixFeatures<bool>();
987  case PT_CHAR: return new CMatrixFeatures<char>();
988  case PT_INT8: return new CMatrixFeatures<int8_t>();
989  case PT_UINT8: return new CMatrixFeatures<uint8_t>();
990  case PT_INT16: return new CMatrixFeatures<int16_t>();
991  case PT_UINT16: return new CMatrixFeatures<uint16_t>();
992  case PT_INT32: return new CMatrixFeatures<int32_t>();
993  case PT_UINT32: return new CMatrixFeatures<uint32_t>();
994  case PT_INT64: return new CMatrixFeatures<int64_t>();
995  case PT_UINT64: return new CMatrixFeatures<uint64_t>();
996  case PT_FLOAT32: return new CMatrixFeatures<float32_t>();
997  case PT_FLOAT64: return new CMatrixFeatures<float64_t>();
998  case PT_FLOATMAX: return new CMatrixFeatures<floatmax_t>();
999  case PT_COMPLEX128: return NULL;
1000  case PT_SGOBJECT:
1001  case PT_UNDEFINED: return NULL;
1002  }
1003  return NULL;
1004 }
1006 {
1007  switch (g)
1008  {
1009  case PT_BOOL: return new CHashedSparseFeatures<bool>();
1010  case PT_CHAR: return new CHashedSparseFeatures<char>();
1011  case PT_INT8: return new CHashedSparseFeatures<int8_t>();
1012  case PT_UINT8: return new CHashedSparseFeatures<uint8_t>();
1013  case PT_INT16: return new CHashedSparseFeatures<int16_t>();
1014  case PT_UINT16: return new CHashedSparseFeatures<uint16_t>();
1015  case PT_INT32: return new CHashedSparseFeatures<int32_t>();
1016  case PT_UINT32: return new CHashedSparseFeatures<uint32_t>();
1017  case PT_INT64: return new CHashedSparseFeatures<int64_t>();
1018  case PT_UINT64: return new CHashedSparseFeatures<uint64_t>();
1019  case PT_FLOAT32: return new CHashedSparseFeatures<float32_t>();
1020  case PT_FLOAT64: return new CHashedSparseFeatures<float64_t>();
1021  case PT_FLOATMAX: return new CHashedSparseFeatures<floatmax_t>();
1022  case PT_COMPLEX128: return NULL;
1023  case PT_SGOBJECT:
1024  case PT_UNDEFINED: return NULL;
1025  }
1026  return NULL;
1027 }
1029 {
1030  switch (g)
1031  {
1032  case PT_BOOL: return new CStreamingHashedSparseFeatures<bool>();
1033  case PT_CHAR: return new CStreamingHashedSparseFeatures<char>();
1034  case PT_INT8: return new CStreamingHashedSparseFeatures<int8_t>();
1035  case PT_UINT8: return new CStreamingHashedSparseFeatures<uint8_t>();
1036  case PT_INT16: return new CStreamingHashedSparseFeatures<int16_t>();
1037  case PT_UINT16: return new CStreamingHashedSparseFeatures<uint16_t>();
1038  case PT_INT32: return new CStreamingHashedSparseFeatures<int32_t>();
1039  case PT_UINT32: return new CStreamingHashedSparseFeatures<uint32_t>();
1040  case PT_INT64: return new CStreamingHashedSparseFeatures<int64_t>();
1041  case PT_UINT64: return new CStreamingHashedSparseFeatures<uint64_t>();
1042  case PT_FLOAT32: return new CStreamingHashedSparseFeatures<float32_t>();
1043  case PT_FLOAT64: return new CStreamingHashedSparseFeatures<float64_t>();
1044  case PT_FLOATMAX: return new CStreamingHashedSparseFeatures<floatmax_t>();
1045  case PT_COMPLEX128: return NULL;
1046  case PT_SGOBJECT:
1047  case PT_UNDEFINED: return NULL;
1048  }
1049  return NULL;
1050 }
1052 {
1053  switch (g)
1054  {
1055  case PT_BOOL: return new CStreamingHashedDenseFeatures<bool>();
1056  case PT_CHAR: return new CStreamingHashedDenseFeatures<char>();
1057  case PT_INT8: return new CStreamingHashedDenseFeatures<int8_t>();
1058  case PT_UINT8: return new CStreamingHashedDenseFeatures<uint8_t>();
1059  case PT_INT16: return new CStreamingHashedDenseFeatures<int16_t>();
1060  case PT_UINT16: return new CStreamingHashedDenseFeatures<uint16_t>();
1061  case PT_INT32: return new CStreamingHashedDenseFeatures<int32_t>();
1062  case PT_UINT32: return new CStreamingHashedDenseFeatures<uint32_t>();
1063  case PT_INT64: return new CStreamingHashedDenseFeatures<int64_t>();
1064  case PT_UINT64: return new CStreamingHashedDenseFeatures<uint64_t>();
1065  case PT_FLOAT32: return new CStreamingHashedDenseFeatures<float32_t>();
1066  case PT_FLOAT64: return new CStreamingHashedDenseFeatures<float64_t>();
1067  case PT_FLOATMAX: return new CStreamingHashedDenseFeatures<floatmax_t>();
1068  case PT_COMPLEX128: return NULL;
1069  case PT_SGOBJECT:
1070  case PT_UNDEFINED: return NULL;
1071  }
1072  return NULL;
1073 }
1075 {
1076  switch (g)
1077  {
1078  case PT_BOOL: return new CStreamingStringFeatures<bool>();
1079  case PT_CHAR: return new CStreamingStringFeatures<char>();
1080  case PT_INT8: return new CStreamingStringFeatures<int8_t>();
1081  case PT_UINT8: return new CStreamingStringFeatures<uint8_t>();
1082  case PT_INT16: return new CStreamingStringFeatures<int16_t>();
1083  case PT_UINT16: return new CStreamingStringFeatures<uint16_t>();
1084  case PT_INT32: return new CStreamingStringFeatures<int32_t>();
1085  case PT_UINT32: return new CStreamingStringFeatures<uint32_t>();
1086  case PT_INT64: return new CStreamingStringFeatures<int64_t>();
1087  case PT_UINT64: return new CStreamingStringFeatures<uint64_t>();
1088  case PT_FLOAT32: return new CStreamingStringFeatures<float32_t>();
1089  case PT_FLOAT64: return new CStreamingStringFeatures<float64_t>();
1090  case PT_FLOATMAX: return new CStreamingStringFeatures<floatmax_t>();
1091  case PT_COMPLEX128: return NULL;
1092  case PT_SGOBJECT:
1093  case PT_UNDEFINED: return NULL;
1094  }
1095  return NULL;
1096 }
1098 {
1099  switch (g)
1100  {
1101  case PT_BOOL: return new CStreamingSparseFeatures<bool>();
1102  case PT_CHAR: return new CStreamingSparseFeatures<char>();
1103  case PT_INT8: return new CStreamingSparseFeatures<int8_t>();
1104  case PT_UINT8: return new CStreamingSparseFeatures<uint8_t>();
1105  case PT_INT16: return new CStreamingSparseFeatures<int16_t>();
1106  case PT_UINT16: return new CStreamingSparseFeatures<uint16_t>();
1107  case PT_INT32: return new CStreamingSparseFeatures<int32_t>();
1108  case PT_UINT32: return new CStreamingSparseFeatures<uint32_t>();
1109  case PT_INT64: return new CStreamingSparseFeatures<int64_t>();
1110  case PT_UINT64: return new CStreamingSparseFeatures<uint64_t>();
1111  case PT_FLOAT32: return new CStreamingSparseFeatures<float32_t>();
1112  case PT_FLOAT64: return new CStreamingSparseFeatures<float64_t>();
1113  case PT_FLOATMAX: return new CStreamingSparseFeatures<floatmax_t>();
1114  case PT_COMPLEX128: return NULL;
1115  case PT_SGOBJECT:
1116  case PT_UNDEFINED: return NULL;
1117  }
1118  return NULL;
1119 }
1121 {
1122  switch (g)
1123  {
1124  case PT_BOOL: return new CStreamingDenseFeatures<bool>();
1125  case PT_CHAR: return new CStreamingDenseFeatures<char>();
1126  case PT_INT8: return new CStreamingDenseFeatures<int8_t>();
1127  case PT_UINT8: return new CStreamingDenseFeatures<uint8_t>();
1128  case PT_INT16: return new CStreamingDenseFeatures<int16_t>();
1129  case PT_UINT16: return new CStreamingDenseFeatures<uint16_t>();
1130  case PT_INT32: return new CStreamingDenseFeatures<int32_t>();
1131  case PT_UINT32: return new CStreamingDenseFeatures<uint32_t>();
1132  case PT_INT64: return new CStreamingDenseFeatures<int64_t>();
1133  case PT_UINT64: return new CStreamingDenseFeatures<uint64_t>();
1134  case PT_FLOAT32: return new CStreamingDenseFeatures<float32_t>();
1135  case PT_FLOAT64: return new CStreamingDenseFeatures<float64_t>();
1136  case PT_FLOATMAX: return new CStreamingDenseFeatures<floatmax_t>();
1137  case PT_COMPLEX128: return NULL;
1138  case PT_SGOBJECT:
1139  case PT_UNDEFINED: return NULL;
1140  }
1141  return NULL;
1142 }
1144 {
1145  switch (g)
1146  {
1147  case PT_BOOL: return new CSparseFeatures<bool>();
1148  case PT_CHAR: return new CSparseFeatures<char>();
1149  case PT_INT8: return new CSparseFeatures<int8_t>();
1150  case PT_UINT8: return new CSparseFeatures<uint8_t>();
1151  case PT_INT16: return new CSparseFeatures<int16_t>();
1152  case PT_UINT16: return new CSparseFeatures<uint16_t>();
1153  case PT_INT32: return new CSparseFeatures<int32_t>();
1154  case PT_UINT32: return new CSparseFeatures<uint32_t>();
1155  case PT_INT64: return new CSparseFeatures<int64_t>();
1156  case PT_UINT64: return new CSparseFeatures<uint64_t>();
1157  case PT_FLOAT32: return new CSparseFeatures<float32_t>();
1158  case PT_FLOAT64: return new CSparseFeatures<float64_t>();
1159  case PT_FLOATMAX: return new CSparseFeatures<floatmax_t>();
1160  case PT_COMPLEX128: return NULL;
1161  case PT_SGOBJECT:
1162  case PT_UNDEFINED: return NULL;
1163  }
1164  return NULL;
1165 }
1167 {
1168  switch (g)
1169  {
1170  case PT_BOOL: return new CDenseSubsetFeatures<bool>();
1171  case PT_CHAR: return new CDenseSubsetFeatures<char>();
1172  case PT_INT8: return new CDenseSubsetFeatures<int8_t>();
1173  case PT_UINT8: return new CDenseSubsetFeatures<uint8_t>();
1174  case PT_INT16: return new CDenseSubsetFeatures<int16_t>();
1175  case PT_UINT16: return new CDenseSubsetFeatures<uint16_t>();
1176  case PT_INT32: return new CDenseSubsetFeatures<int32_t>();
1177  case PT_UINT32: return new CDenseSubsetFeatures<uint32_t>();
1178  case PT_INT64: return new CDenseSubsetFeatures<int64_t>();
1179  case PT_UINT64: return new CDenseSubsetFeatures<uint64_t>();
1180  case PT_FLOAT32: return new CDenseSubsetFeatures<float32_t>();
1181  case PT_FLOAT64: return new CDenseSubsetFeatures<float64_t>();
1182  case PT_FLOATMAX: return new CDenseSubsetFeatures<floatmax_t>();
1183  case PT_COMPLEX128: return NULL;
1184  case PT_SGOBJECT:
1185  case PT_UNDEFINED: return NULL;
1186  }
1187  return NULL;
1188 }
1190 {
1191  switch (g)
1192  {
1193  case PT_BOOL: return new CHashedDenseFeatures<bool>();
1194  case PT_CHAR: return new CHashedDenseFeatures<char>();
1195  case PT_INT8: return new CHashedDenseFeatures<int8_t>();
1196  case PT_UINT8: return new CHashedDenseFeatures<uint8_t>();
1197  case PT_INT16: return new CHashedDenseFeatures<int16_t>();
1198  case PT_UINT16: return new CHashedDenseFeatures<uint16_t>();
1199  case PT_INT32: return new CHashedDenseFeatures<int32_t>();
1200  case PT_UINT32: return new CHashedDenseFeatures<uint32_t>();
1201  case PT_INT64: return new CHashedDenseFeatures<int64_t>();
1202  case PT_UINT64: return new CHashedDenseFeatures<uint64_t>();
1203  case PT_FLOAT32: return new CHashedDenseFeatures<float32_t>();
1204  case PT_FLOAT64: return new CHashedDenseFeatures<float64_t>();
1205  case PT_FLOATMAX: return new CHashedDenseFeatures<floatmax_t>();
1206  case PT_COMPLEX128: return NULL;
1207  case PT_SGOBJECT:
1208  case PT_UNDEFINED: return NULL;
1209  }
1210  return NULL;
1211 }
1213 {
1214  switch (g)
1215  {
1216  case PT_BOOL: return new CStringFileFeatures<bool>();
1217  case PT_CHAR: return new CStringFileFeatures<char>();
1218  case PT_INT8: return new CStringFileFeatures<int8_t>();
1219  case PT_UINT8: return new CStringFileFeatures<uint8_t>();
1220  case PT_INT16: return new CStringFileFeatures<int16_t>();
1221  case PT_UINT16: return new CStringFileFeatures<uint16_t>();
1222  case PT_INT32: return new CStringFileFeatures<int32_t>();
1223  case PT_UINT32: return new CStringFileFeatures<uint32_t>();
1224  case PT_INT64: return new CStringFileFeatures<int64_t>();
1225  case PT_UINT64: return new CStringFileFeatures<uint64_t>();
1226  case PT_FLOAT32: return new CStringFileFeatures<float32_t>();
1227  case PT_FLOAT64: return new CStringFileFeatures<float64_t>();
1228  case PT_FLOATMAX: return new CStringFileFeatures<floatmax_t>();
1229  case PT_COMPLEX128: return NULL;
1230  case PT_SGOBJECT:
1231  case PT_UNDEFINED: return NULL;
1232  }
1233  return NULL;
1234 }
1236 {
1237  switch (g)
1238  {
1239  case PT_BOOL: return new CSimpleFile<bool>();
1240  case PT_CHAR: return new CSimpleFile<char>();
1241  case PT_INT8: return new CSimpleFile<int8_t>();
1242  case PT_UINT8: return new CSimpleFile<uint8_t>();
1243  case PT_INT16: return new CSimpleFile<int16_t>();
1244  case PT_UINT16: return new CSimpleFile<uint16_t>();
1245  case PT_INT32: return new CSimpleFile<int32_t>();
1246  case PT_UINT32: return new CSimpleFile<uint32_t>();
1247  case PT_INT64: return new CSimpleFile<int64_t>();
1248  case PT_UINT64: return new CSimpleFile<uint64_t>();
1249  case PT_FLOAT32: return new CSimpleFile<float32_t>();
1250  case PT_FLOAT64: return new CSimpleFile<float64_t>();
1251  case PT_FLOATMAX: return new CSimpleFile<floatmax_t>();
1252  case PT_COMPLEX128: return NULL;
1253  case PT_SGOBJECT:
1254  case PT_UNDEFINED: return NULL;
1255  }
1256  return NULL;
1257 }
1259 {
1260  switch (g)
1261  {
1262  case PT_BOOL: return new CBinaryStream<bool>();
1263  case PT_CHAR: return new CBinaryStream<char>();
1264  case PT_INT8: return new CBinaryStream<int8_t>();
1265  case PT_UINT8: return new CBinaryStream<uint8_t>();
1266  case PT_INT16: return new CBinaryStream<int16_t>();
1267  case PT_UINT16: return new CBinaryStream<uint16_t>();
1268  case PT_INT32: return new CBinaryStream<int32_t>();
1269  case PT_UINT32: return new CBinaryStream<uint32_t>();
1270  case PT_INT64: return new CBinaryStream<int64_t>();
1271  case PT_UINT64: return new CBinaryStream<uint64_t>();
1272  case PT_FLOAT32: return new CBinaryStream<float32_t>();
1273  case PT_FLOAT64: return new CBinaryStream<float64_t>();
1274  case PT_FLOATMAX: return new CBinaryStream<floatmax_t>();
1275  case PT_COMPLEX128: return NULL;
1276  case PT_SGOBJECT:
1277  case PT_UNDEFINED: return NULL;
1278  }
1279  return NULL;
1280 }
1282 {
1283  switch (g)
1284  {
1285  case PT_BOOL: return new CStreamingFileFromDenseFeatures<bool>();
1286  case PT_CHAR: return new CStreamingFileFromDenseFeatures<char>();
1287  case PT_INT8: return new CStreamingFileFromDenseFeatures<int8_t>();
1288  case PT_UINT8: return new CStreamingFileFromDenseFeatures<uint8_t>();
1289  case PT_INT16: return new CStreamingFileFromDenseFeatures<int16_t>();
1290  case PT_UINT16: return new CStreamingFileFromDenseFeatures<uint16_t>();
1291  case PT_INT32: return new CStreamingFileFromDenseFeatures<int32_t>();
1292  case PT_UINT32: return new CStreamingFileFromDenseFeatures<uint32_t>();
1293  case PT_INT64: return new CStreamingFileFromDenseFeatures<int64_t>();
1294  case PT_UINT64: return new CStreamingFileFromDenseFeatures<uint64_t>();
1295  case PT_FLOAT32: return new CStreamingFileFromDenseFeatures<float32_t>();
1296  case PT_FLOAT64: return new CStreamingFileFromDenseFeatures<float64_t>();
1297  case PT_FLOATMAX: return new CStreamingFileFromDenseFeatures<floatmax_t>();
1298  case PT_COMPLEX128: return NULL;
1299  case PT_SGOBJECT:
1300  case PT_UNDEFINED: return NULL;
1301  }
1302  return NULL;
1303 }
1305 {
1306  switch (g)
1307  {
1308  case PT_BOOL: return new CStreamingFileFromStringFeatures<bool>();
1309  case PT_CHAR: return new CStreamingFileFromStringFeatures<char>();
1310  case PT_INT8: return new CStreamingFileFromStringFeatures<int8_t>();
1311  case PT_UINT8: return new CStreamingFileFromStringFeatures<uint8_t>();
1312  case PT_INT16: return new CStreamingFileFromStringFeatures<int16_t>();
1313  case PT_UINT16: return new CStreamingFileFromStringFeatures<uint16_t>();
1314  case PT_INT32: return new CStreamingFileFromStringFeatures<int32_t>();
1315  case PT_UINT32: return new CStreamingFileFromStringFeatures<uint32_t>();
1316  case PT_INT64: return new CStreamingFileFromStringFeatures<int64_t>();
1317  case PT_UINT64: return new CStreamingFileFromStringFeatures<uint64_t>();
1318  case PT_FLOAT32: return new CStreamingFileFromStringFeatures<float32_t>();
1319  case PT_FLOAT64: return new CStreamingFileFromStringFeatures<float64_t>();
1320  case PT_FLOATMAX: return new CStreamingFileFromStringFeatures<floatmax_t>();
1321  case PT_COMPLEX128: return NULL;
1322  case PT_SGOBJECT:
1323  case PT_UNDEFINED: return NULL;
1324  }
1325  return NULL;
1326 }
1328 {
1329  switch (g)
1330  {
1331  case PT_BOOL: return new CParseBuffer<bool>();
1332  case PT_CHAR: return new CParseBuffer<char>();
1333  case PT_INT8: return new CParseBuffer<int8_t>();
1334  case PT_UINT8: return new CParseBuffer<uint8_t>();
1335  case PT_INT16: return new CParseBuffer<int16_t>();
1336  case PT_UINT16: return new CParseBuffer<uint16_t>();
1337  case PT_INT32: return new CParseBuffer<int32_t>();
1338  case PT_UINT32: return new CParseBuffer<uint32_t>();
1339  case PT_INT64: return new CParseBuffer<int64_t>();
1340  case PT_UINT64: return new CParseBuffer<uint64_t>();
1341  case PT_FLOAT32: return new CParseBuffer<float32_t>();
1342  case PT_FLOAT64: return new CParseBuffer<float64_t>();
1343  case PT_FLOATMAX: return new CParseBuffer<floatmax_t>();
1344  case PT_COMPLEX128: return NULL;
1345  case PT_SGOBJECT:
1346  case PT_UNDEFINED: return NULL;
1347  }
1348  return NULL;
1349 }
1351 {
1352  switch (g)
1353  {
1354  case PT_BOOL: return new CStreamingFileFromSparseFeatures<bool>();
1355  case PT_CHAR: return new CStreamingFileFromSparseFeatures<char>();
1356  case PT_INT8: return new CStreamingFileFromSparseFeatures<int8_t>();
1357  case PT_UINT8: return new CStreamingFileFromSparseFeatures<uint8_t>();
1358  case PT_INT16: return new CStreamingFileFromSparseFeatures<int16_t>();
1359  case PT_UINT16: return new CStreamingFileFromSparseFeatures<uint16_t>();
1360  case PT_INT32: return new CStreamingFileFromSparseFeatures<int32_t>();
1361  case PT_UINT32: return new CStreamingFileFromSparseFeatures<uint32_t>();
1362  case PT_INT64: return new CStreamingFileFromSparseFeatures<int64_t>();
1363  case PT_UINT64: return new CStreamingFileFromSparseFeatures<uint64_t>();
1364  case PT_FLOAT32: return new CStreamingFileFromSparseFeatures<float32_t>();
1365  case PT_FLOAT64: return new CStreamingFileFromSparseFeatures<float64_t>();
1366  case PT_FLOATMAX: return new CStreamingFileFromSparseFeatures<floatmax_t>();
1367  case PT_COMPLEX128: return NULL;
1368  case PT_SGOBJECT:
1369  case PT_UNDEFINED: return NULL;
1370  }
1371  return NULL;
1372 }
1374 {
1375  switch (g)
1376  {
1377  case PT_BOOL: return new CMemoryMappedFile<bool>();
1378  case PT_CHAR: return new CMemoryMappedFile<char>();
1379  case PT_INT8: return new CMemoryMappedFile<int8_t>();
1380  case PT_UINT8: return new CMemoryMappedFile<uint8_t>();
1381  case PT_INT16: return new CMemoryMappedFile<int16_t>();
1382  case PT_UINT16: return new CMemoryMappedFile<uint16_t>();
1383  case PT_INT32: return new CMemoryMappedFile<int32_t>();
1384  case PT_UINT32: return new CMemoryMappedFile<uint32_t>();
1385  case PT_INT64: return new CMemoryMappedFile<int64_t>();
1386  case PT_UINT64: return new CMemoryMappedFile<uint64_t>();
1387  case PT_FLOAT32: return new CMemoryMappedFile<float32_t>();
1388  case PT_FLOAT64: return new CMemoryMappedFile<float64_t>();
1389  case PT_FLOATMAX: return new CMemoryMappedFile<floatmax_t>();
1390  case PT_COMPLEX128: return NULL;
1391  case PT_SGOBJECT:
1392  case PT_UNDEFINED: return NULL;
1393  }
1394  return NULL;
1395 }
1397 {
1398  switch (g)
1399  {
1400  case PT_BOOL: return new CDecompressString<bool>();
1401  case PT_CHAR: return new CDecompressString<char>();
1402  case PT_INT8: return new CDecompressString<int8_t>();
1403  case PT_UINT8: return new CDecompressString<uint8_t>();
1404  case PT_INT16: return new CDecompressString<int16_t>();
1405  case PT_UINT16: return new CDecompressString<uint16_t>();
1406  case PT_INT32: return new CDecompressString<int32_t>();
1407  case PT_UINT32: return new CDecompressString<uint32_t>();
1408  case PT_INT64: return new CDecompressString<int64_t>();
1409  case PT_UINT64: return new CDecompressString<uint64_t>();
1410  case PT_FLOAT32: return new CDecompressString<float32_t>();
1411  case PT_FLOAT64: return new CDecompressString<float64_t>();
1412  case PT_FLOATMAX: return new CDecompressString<floatmax_t>();
1413  case PT_COMPLEX128: return NULL;
1414  case PT_SGOBJECT:
1415  case PT_UNDEFINED: return NULL;
1416  }
1417  return NULL;
1418 }
1420 {
1421  switch (g)
1422  {
1423  case PT_BOOL: return new CDynamicArray<bool>();
1424  case PT_CHAR: return new CDynamicArray<char>();
1425  case PT_INT8: return new CDynamicArray<int8_t>();
1426  case PT_UINT8: return new CDynamicArray<uint8_t>();
1427  case PT_INT16: return new CDynamicArray<int16_t>();
1428  case PT_UINT16: return new CDynamicArray<uint16_t>();
1429  case PT_INT32: return new CDynamicArray<int32_t>();
1430  case PT_UINT32: return new CDynamicArray<uint32_t>();
1431  case PT_INT64: return new CDynamicArray<int64_t>();
1432  case PT_UINT64: return new CDynamicArray<uint64_t>();
1433  case PT_FLOAT32: return new CDynamicArray<float32_t>();
1434  case PT_FLOAT64: return new CDynamicArray<float64_t>();
1435  case PT_FLOATMAX: return new CDynamicArray<floatmax_t>();
1436  case PT_COMPLEX128: return NULL;
1437  case PT_SGOBJECT:
1438  case PT_UNDEFINED: return NULL;
1439  }
1440  return NULL;
1441 }
1443 {
1444  switch (g)
1445  {
1446  case PT_BOOL: return new CCache<bool>();
1447  case PT_CHAR: return new CCache<char>();
1448  case PT_INT8: return new CCache<int8_t>();
1449  case PT_UINT8: return new CCache<uint8_t>();
1450  case PT_INT16: return new CCache<int16_t>();
1451  case PT_UINT16: return new CCache<uint16_t>();
1452  case PT_INT32: return new CCache<int32_t>();
1453  case PT_UINT32: return new CCache<uint32_t>();
1454  case PT_INT64: return new CCache<int64_t>();
1455  case PT_UINT64: return new CCache<uint64_t>();
1456  case PT_FLOAT32: return new CCache<float32_t>();
1457  case PT_FLOAT64: return new CCache<float64_t>();
1458  case PT_FLOATMAX: return new CCache<floatmax_t>();
1459  case PT_COMPLEX128: return NULL;
1460  case PT_SGOBJECT:
1461  case PT_UNDEFINED: return NULL;
1462  }
1463  return NULL;
1464 }
1465 static SHOGUN_TEMPLATE_CLASS CSGObject* __new_CSet(EPrimitiveType g)
1466 {
1467  switch (g)
1468  {
1469  case PT_BOOL: return new CSet<bool>();
1470  case PT_CHAR: return new CSet<char>();
1471  case PT_INT8: return new CSet<int8_t>();
1472  case PT_UINT8: return new CSet<uint8_t>();
1473  case PT_INT16: return new CSet<int16_t>();
1474  case PT_UINT16: return new CSet<uint16_t>();
1475  case PT_INT32: return new CSet<int32_t>();
1476  case PT_UINT32: return new CSet<uint32_t>();
1477  case PT_INT64: return new CSet<int64_t>();
1478  case PT_UINT64: return new CSet<uint64_t>();
1479  case PT_FLOAT32: return new CSet<float32_t>();
1480  case PT_FLOAT64: return new CSet<float64_t>();
1481  case PT_FLOATMAX: return new CSet<floatmax_t>();
1482  case PT_COMPLEX128: return NULL;
1483  case PT_SGOBJECT:
1484  case PT_UNDEFINED: return NULL;
1485  }
1486  return NULL;
1487 }
1489 {
1490  switch (g)
1491  {
1492  case PT_BOOL: return new CDenseMatrixOperator<bool>();
1493  case PT_CHAR: return new CDenseMatrixOperator<char>();
1494  case PT_INT8: return new CDenseMatrixOperator<int8_t>();
1495  case PT_UINT8: return new CDenseMatrixOperator<uint8_t>();
1496  case PT_INT16: return new CDenseMatrixOperator<int16_t>();
1497  case PT_UINT16: return new CDenseMatrixOperator<uint16_t>();
1498  case PT_INT32: return new CDenseMatrixOperator<int32_t>();
1499  case PT_UINT32: return new CDenseMatrixOperator<uint32_t>();
1500  case PT_INT64: return new CDenseMatrixOperator<int64_t>();
1501  case PT_UINT64: return new CDenseMatrixOperator<uint64_t>();
1502  case PT_FLOAT32: return new CDenseMatrixOperator<float32_t>();
1503  case PT_FLOAT64: return new CDenseMatrixOperator<float64_t>();
1504  case PT_FLOATMAX: return new CDenseMatrixOperator<floatmax_t>();
1505  case PT_COMPLEX128: return new CDenseMatrixOperator<complex128_t>();
1506  case PT_SGOBJECT:
1507  case PT_UNDEFINED: return NULL;
1508  }
1509  return NULL;
1510 }
1512 {
1513  switch (g)
1514  {
1515  case PT_BOOL: return new CSparseMatrixOperator<bool>();
1516  case PT_CHAR: return new CSparseMatrixOperator<char>();
1517  case PT_INT8: return new CSparseMatrixOperator<int8_t>();
1518  case PT_UINT8: return new CSparseMatrixOperator<uint8_t>();
1519  case PT_INT16: return new CSparseMatrixOperator<int16_t>();
1520  case PT_UINT16: return new CSparseMatrixOperator<uint16_t>();
1521  case PT_INT32: return new CSparseMatrixOperator<int32_t>();
1522  case PT_UINT32: return new CSparseMatrixOperator<uint32_t>();
1523  case PT_INT64: return new CSparseMatrixOperator<int64_t>();
1524  case PT_UINT64: return new CSparseMatrixOperator<uint64_t>();
1525  case PT_FLOAT32: return new CSparseMatrixOperator<float32_t>();
1526  case PT_FLOAT64: return new CSparseMatrixOperator<float64_t>();
1527  case PT_FLOATMAX: return new CSparseMatrixOperator<floatmax_t>();
1528  case PT_COMPLEX128: return new CSparseMatrixOperator<complex128_t>();
1529  case PT_SGOBJECT:
1530  case PT_UNDEFINED: return NULL;
1531  }
1532  return NULL;
1533 }
1535 {
1536  switch (g)
1537  {
1538  case PT_BOOL: return new CStoreScalarAggregator<bool>();
1539  case PT_CHAR: return new CStoreScalarAggregator<char>();
1540  case PT_INT8: return new CStoreScalarAggregator<int8_t>();
1541  case PT_UINT8: return new CStoreScalarAggregator<uint8_t>();
1542  case PT_INT16: return new CStoreScalarAggregator<int16_t>();
1543  case PT_UINT16: return new CStoreScalarAggregator<uint16_t>();
1544  case PT_INT32: return new CStoreScalarAggregator<int32_t>();
1545  case PT_UINT32: return new CStoreScalarAggregator<uint32_t>();
1546  case PT_INT64: return new CStoreScalarAggregator<int64_t>();
1547  case PT_UINT64: return new CStoreScalarAggregator<uint64_t>();
1548  case PT_FLOAT32: return new CStoreScalarAggregator<float32_t>();
1549  case PT_FLOAT64: return new CStoreScalarAggregator<float64_t>();
1550  case PT_FLOATMAX: return new CStoreScalarAggregator<floatmax_t>();
1551  case PT_COMPLEX128: return new CStoreScalarAggregator<complex128_t>();
1552  case PT_SGOBJECT:
1553  case PT_UNDEFINED: return NULL;
1554  }
1555  return NULL;
1556 }
1558 {
1559  switch (g)
1560  {
1561  case PT_BOOL: return new CVectorResult<bool>();
1562  case PT_CHAR: return new CVectorResult<char>();
1563  case PT_INT8: return new CVectorResult<int8_t>();
1564  case PT_UINT8: return new CVectorResult<uint8_t>();
1565  case PT_INT16: return new CVectorResult<int16_t>();
1566  case PT_UINT16: return new CVectorResult<uint16_t>();
1567  case PT_INT32: return new CVectorResult<int32_t>();
1568  case PT_UINT32: return new CVectorResult<uint32_t>();
1569  case PT_INT64: return new CVectorResult<int64_t>();
1570  case PT_UINT64: return new CVectorResult<uint64_t>();
1571  case PT_FLOAT32: return new CVectorResult<float32_t>();
1572  case PT_FLOAT64: return new CVectorResult<float64_t>();
1573  case PT_FLOATMAX: return new CVectorResult<floatmax_t>();
1574  case PT_COMPLEX128: return new CVectorResult<complex128_t>();
1575  case PT_SGOBJECT:
1576  case PT_UNDEFINED: return NULL;
1577  }
1578  return NULL;
1579 }
1581 {
1582  switch (g)
1583  {
1584  case PT_BOOL: return new CScalarResult<bool>();
1585  case PT_CHAR: return new CScalarResult<char>();
1586  case PT_INT8: return new CScalarResult<int8_t>();
1587  case PT_UINT8: return new CScalarResult<uint8_t>();
1588  case PT_INT16: return new CScalarResult<int16_t>();
1589  case PT_UINT16: return new CScalarResult<uint16_t>();
1590  case PT_INT32: return new CScalarResult<int32_t>();
1591  case PT_UINT32: return new CScalarResult<uint32_t>();
1592  case PT_INT64: return new CScalarResult<int64_t>();
1593  case PT_UINT64: return new CScalarResult<uint64_t>();
1594  case PT_FLOAT32: return new CScalarResult<float32_t>();
1595  case PT_FLOAT64: return new CScalarResult<float64_t>();
1596  case PT_FLOATMAX: return new CScalarResult<floatmax_t>();
1597  case PT_COMPLEX128: return new CScalarResult<complex128_t>();
1598  case PT_SGOBJECT:
1599  case PT_UNDEFINED: return NULL;
1600  }
1601  return NULL;
1602 }
1603 typedef CSGObject* (*new_sgserializable_t)(EPrimitiveType generic);
1604 #ifndef DOXYGEN_SHOULD_SKIP_THIS
1605 typedef struct
1606 {
1607  const char* m_class_name;
1608  new_sgserializable_t m_new_sgserializable;
1609 } class_list_entry_t;
1610 #endif
1611 
1612 static class_list_entry_t class_list[] = {
1613 {"MultidimensionalScaling", SHOGUN_BASIC_CLASS __new_CMultidimensionalScaling},
1614 {"StochasticProximityEmbedding", SHOGUN_BASIC_CLASS __new_CStochasticProximityEmbedding},
1616 {"FFSep", SHOGUN_BASIC_CLASS __new_CFFSep},
1617 {"JediSep", SHOGUN_BASIC_CLASS __new_CJediSep},
1619 {"UWedgeSep", SHOGUN_BASIC_CLASS __new_CUWedgeSep},
1620 {"FastICA", SHOGUN_BASIC_CLASS __new_CFastICA},
1621 {"LinearLocalTangentSpaceAlignment", SHOGUN_BASIC_CLASS __new_CLinearLocalTangentSpaceAlignment},
1622 {"LocalityPreservingProjections", SHOGUN_BASIC_CLASS __new_CLocalityPreservingProjections},
1623 {"ManifoldSculpting", SHOGUN_BASIC_CLASS __new_CManifoldSculpting},
1624 {"HessianLocallyLinearEmbedding", SHOGUN_BASIC_CLASS __new_CHessianLocallyLinearEmbedding},
1625 {"FactorAnalysis", SHOGUN_BASIC_CLASS __new_CFactorAnalysis},
1626 {"TDistributedStochasticNeighborEmbedding", SHOGUN_BASIC_CLASS __new_CTDistributedStochasticNeighborEmbedding},
1627 {"HashedDocConverter", SHOGUN_BASIC_CLASS __new_CHashedDocConverter},
1628 {"LocalTangentSpaceAlignment", SHOGUN_BASIC_CLASS __new_CLocalTangentSpaceAlignment},
1629 {"Isomap", SHOGUN_BASIC_CLASS __new_CIsomap},
1630 {"NeighborhoodPreservingEmbedding", SHOGUN_BASIC_CLASS __new_CNeighborhoodPreservingEmbedding},
1631 {"KernelLocallyLinearEmbedding", SHOGUN_BASIC_CLASS __new_CKernelLocallyLinearEmbedding},
1632 {"DiffusionMaps", SHOGUN_BASIC_CLASS __new_CDiffusionMaps},
1633 {"LaplacianEigenmaps", SHOGUN_BASIC_CLASS __new_CLaplacianEigenmaps},
1634 {"LocallyLinearEmbedding", SHOGUN_BASIC_CLASS __new_CLocallyLinearEmbedding},
1635 {"DomainAdaptationSVMLinear", SHOGUN_BASIC_CLASS __new_CDomainAdaptationSVMLinear},
1636 {"DomainAdaptationMulticlassLibLinear", SHOGUN_BASIC_CLASS __new_CDomainAdaptationMulticlassLibLinear},
1637 {"MultitaskKernelPlifNormalizer", SHOGUN_BASIC_CLASS __new_CMultitaskKernelPlifNormalizer},
1638 {"LibLinearMTL", SHOGUN_BASIC_CLASS __new_CLibLinearMTL},
1639 {"TaskTree", SHOGUN_BASIC_CLASS __new_CTaskTree},
1640 {"MultitaskLeastSquaresRegression", SHOGUN_BASIC_CLASS __new_CMultitaskLeastSquaresRegression},
1641 {"MultitaskKernelMaskNormalizer", SHOGUN_BASIC_CLASS __new_CMultitaskKernelMaskNormalizer},
1642 {"MultitaskLogisticRegression", SHOGUN_BASIC_CLASS __new_CMultitaskLogisticRegression},
1643 {"MultitaskLinearMachine", SHOGUN_BASIC_CLASS __new_CMultitaskLinearMachine},
1644 {"MultitaskKernelNormalizer", SHOGUN_BASIC_CLASS __new_CMultitaskKernelNormalizer},
1645 {"MultitaskL12LogisticRegression", SHOGUN_BASIC_CLASS __new_CMultitaskL12LogisticRegression},
1646 {"MultitaskClusteredLogisticRegression", SHOGUN_BASIC_CLASS __new_CMultitaskClusteredLogisticRegression},
1647 {"TaskGroup", SHOGUN_BASIC_CLASS __new_CTaskGroup},
1649 {"MultitaskKernelMaskPairNormalizer", SHOGUN_BASIC_CLASS __new_CMultitaskKernelMaskPairNormalizer},
1650 {"MultitaskTraceLogisticRegression", SHOGUN_BASIC_CLASS __new_CMultitaskTraceLogisticRegression},
1651 {"MultitaskROCEvaluation", SHOGUN_BASIC_CLASS __new_CMultitaskROCEvaluation},
1653 {"Taxonomy", SHOGUN_BASIC_CLASS __new_CTaxonomy},
1654 {"MultitaskKernelTreeNormalizer", SHOGUN_BASIC_CLASS __new_CMultitaskKernelTreeNormalizer},
1655 {"SparseInverseCovariance", SHOGUN_BASIC_CLASS __new_CSparseInverseCovariance},
1656 {"DirectLinearSolverComplex", SHOGUN_BASIC_CLASS __new_CDirectLinearSolverComplex},
1657 {"ConjugateGradientSolver", SHOGUN_BASIC_CLASS __new_CConjugateGradientSolver},
1658 {"DirectSparseLinearSolver", SHOGUN_BASIC_CLASS __new_CDirectSparseLinearSolver},
1659 {"DirectEigenSolver", SHOGUN_BASIC_CLASS __new_CDirectEigenSolver},
1660 {"LanczosEigenSolver", SHOGUN_BASIC_CLASS __new_CLanczosEigenSolver},
1661 {"NormalSampler", SHOGUN_BASIC_CLASS __new_CNormalSampler},
1662 {"LogRationalApproximationIndividual", SHOGUN_BASIC_CLASS __new_CLogRationalApproximationIndividual},
1663 {"DenseMatrixExactLog", SHOGUN_BASIC_CLASS __new_CDenseMatrixExactLog},
1664 {"LogRationalApproximationCGM", SHOGUN_BASIC_CLASS __new_CLogRationalApproximationCGM},
1665 {"IndividualJobResultAggregator", SHOGUN_BASIC_CLASS __new_CIndividualJobResultAggregator},
1666 {"RationalApproximationIndividualJob", SHOGUN_BASIC_CLASS __new_CRationalApproximationIndividualJob},
1667 {"RationalApproximationCGMJob", SHOGUN_BASIC_CLASS __new_CRationalApproximationCGMJob},
1668 {"DenseExactLogJob", SHOGUN_BASIC_CLASS __new_CDenseExactLogJob},
1669 {"LogDetEstimator", SHOGUN_BASIC_CLASS __new_CLogDetEstimator},
1670 {"Statistics", SHOGUN_BASIC_CLASS __new_CStatistics},
1672 {"UWedge", SHOGUN_BASIC_CLASS __new_CUWedge},
1673 {"JADiag", SHOGUN_BASIC_CLASS __new_CJADiag},
1674 {"JediDiag", SHOGUN_BASIC_CLASS __new_CJediDiag},
1675 {"FFDiag", SHOGUN_BASIC_CLASS __new_CFFDiag},
1676 {"QDiag", SHOGUN_BASIC_CLASS __new_CQDiag},
1677 {"JADiagOrth", SHOGUN_BASIC_CLASS __new_CJADiagOrth},
1678 {"JacobiEllipticFunctions", SHOGUN_BASIC_CLASS __new_CJacobiEllipticFunctions},
1679 {"Integration", SHOGUN_BASIC_CLASS __new_CIntegration},
1680 {"Random", SHOGUN_BASIC_CLASS __new_CRandom},
1681 {"ThresholdRejectionStrategy", SHOGUN_BASIC_CLASS __new_CThresholdRejectionStrategy},
1682 {"DixonQTestRejectionStrategy", SHOGUN_BASIC_CLASS __new_CDixonQTestRejectionStrategy},
1683 {"MulticlassSVM", SHOGUN_BASIC_CLASS __new_CMulticlassSVM},
1684 {"MCLDA", SHOGUN_BASIC_CLASS __new_CMCLDA},
1685 {"MulticlassOneVsRestStrategy", SHOGUN_BASIC_CLASS __new_CMulticlassOneVsRestStrategy},
1686 {"GMNPLib", SHOGUN_BASIC_CLASS __new_CGMNPLib},
1687 {"MulticlassTreeGuidedLogisticRegression", SHOGUN_BASIC_CLASS __new_CMulticlassTreeGuidedLogisticRegression},
1688 {"MulticlassLogisticRegression", SHOGUN_BASIC_CLASS __new_CMulticlassLogisticRegression},
1689 {"MulticlassOneVsOneStrategy", SHOGUN_BASIC_CLASS __new_CMulticlassOneVsOneStrategy},
1690 {"MulticlassLibSVM", SHOGUN_BASIC_CLASS __new_CMulticlassLibSVM},
1691 {"MulticlassLibLinear", SHOGUN_BASIC_CLASS __new_CMulticlassLibLinear},
1692 {"GaussianNaiveBayes", SHOGUN_BASIC_CLASS __new_CGaussianNaiveBayes},
1693 {"BalancedConditionalProbabilityTree", SHOGUN_BASIC_CLASS __new_CBalancedConditionalProbabilityTree},
1694 {"RandomConditionalProbabilityTree", SHOGUN_BASIC_CLASS __new_CRandomConditionalProbabilityTree},
1695 {"RelaxedTree", SHOGUN_BASIC_CLASS __new_CRelaxedTree},
1697 {"ScatterSVM", SHOGUN_BASIC_CLASS __new_CScatterSVM},
1698 {"GMNPSVM", SHOGUN_BASIC_CLASS __new_CGMNPSVM},
1699 {"ShareBoost", SHOGUN_BASIC_CLASS __new_CShareBoost},
1700 {"MulticlassOCAS", SHOGUN_BASIC_CLASS __new_CMulticlassOCAS},
1701 {"ECOCOVOEncoder", SHOGUN_BASIC_CLASS __new_CECOCOVOEncoder},
1702 {"ECOCOVREncoder", SHOGUN_BASIC_CLASS __new_CECOCOVREncoder},
1703 {"ECOCIHDDecoder", SHOGUN_BASIC_CLASS __new_CECOCIHDDecoder},
1704 {"ECOCLLBDecoder", SHOGUN_BASIC_CLASS __new_CECOCLLBDecoder},
1705 {"ECOCDiscriminantEncoder", SHOGUN_BASIC_CLASS __new_CECOCDiscriminantEncoder},
1706 {"ECOCRandomDenseEncoder", SHOGUN_BASIC_CLASS __new_CECOCRandomDenseEncoder},
1707 {"ECOCHDDecoder", SHOGUN_BASIC_CLASS __new_CECOCHDDecoder},
1708 {"ECOCRandomSparseEncoder", SHOGUN_BASIC_CLASS __new_CECOCRandomSparseEncoder},
1709 {"ECOCForestEncoder", SHOGUN_BASIC_CLASS __new_CECOCForestEncoder},
1710 {"ECOCEDDecoder", SHOGUN_BASIC_CLASS __new_CECOCEDDecoder},
1711 {"ECOCAEDDecoder", SHOGUN_BASIC_CLASS __new_CECOCAEDDecoder},
1712 {"ECOCStrategy", SHOGUN_BASIC_CLASS __new_CECOCStrategy},
1714 {"LaRank", SHOGUN_BASIC_CLASS __new_CLaRank},
1715 {"KernelMulticlassMachine", SHOGUN_BASIC_CLASS __new_CKernelMulticlassMachine},
1716 {"StructuredOutputMachine", SHOGUN_BASIC_CLASS __new_CStructuredOutputMachine},
1717 {"BaggingMachine", SHOGUN_BASIC_CLASS __new_CBaggingMachine},
1718 {"NativeMulticlassMachine", SHOGUN_BASIC_CLASS __new_CNativeMulticlassMachine},
1719 {"LinearStructuredOutputMachine", SHOGUN_BASIC_CLASS __new_CLinearStructuredOutputMachine},
1720 {"KernelMachine", SHOGUN_BASIC_CLASS __new_CKernelMachine},
1721 {"LinearMachine", SHOGUN_BASIC_CLASS __new_CLinearMachine},
1722 {"OnlineLinearMachine", SHOGUN_BASIC_CLASS __new_COnlineLinearMachine},
1723 {"GaussianProcessMachine", SHOGUN_BASIC_CLASS __new_CGaussianProcessMachine},
1724 {"KernelStructuredOutputMachine", SHOGUN_BASIC_CLASS __new_CKernelStructuredOutputMachine},
1725 {"Machine", SHOGUN_BASIC_CLASS __new_CMachine},
1726 {"DistanceMachine", SHOGUN_BASIC_CLASS __new_CDistanceMachine},
1727 {"LinearMulticlassMachine", SHOGUN_BASIC_CLASS __new_CLinearMulticlassMachine},
1728 {"LaplacianInferenceMethod", SHOGUN_BASIC_CLASS __new_CLaplacianInferenceMethod},
1729 {"ZeroMean", SHOGUN_BASIC_CLASS __new_CZeroMean},
1730 {"EPInferenceMethod", SHOGUN_BASIC_CLASS __new_CEPInferenceMethod},
1731 {"LogitLikelihood", SHOGUN_BASIC_CLASS __new_CLogitLikelihood},
1732 {"FITCInferenceMethod", SHOGUN_BASIC_CLASS __new_CFITCInferenceMethod},
1733 {"ProbitLikelihood", SHOGUN_BASIC_CLASS __new_CProbitLikelihood},
1734 {"GaussianLikelihood", SHOGUN_BASIC_CLASS __new_CGaussianLikelihood},
1735 {"ExactInferenceMethod", SHOGUN_BASIC_CLASS __new_CExactInferenceMethod},
1736 {"StudentsTLikelihood", SHOGUN_BASIC_CLASS __new_CStudentsTLikelihood},
1737 {"BaseMulticlassMachine", SHOGUN_BASIC_CLASS __new_CBaseMulticlassMachine},
1738 {"Alphabet", SHOGUN_BASIC_CLASS __new_CAlphabet},
1739 {"SubsetStack", SHOGUN_BASIC_CLASS __new_CSubsetStack},
1740 {"LatentFeatures", SHOGUN_BASIC_CLASS __new_CLatentFeatures},
1741 {"ImplicitWeightedSpecFeatures", SHOGUN_BASIC_CLASS __new_CImplicitWeightedSpecFeatures},
1742 {"RandomFourierDotFeatures", SHOGUN_BASIC_CLASS __new_CRandomFourierDotFeatures},
1743 {"FKFeatures", SHOGUN_BASIC_CLASS __new_CFKFeatures},
1744 {"SparsePolyFeatures", SHOGUN_BASIC_CLASS __new_CSparsePolyFeatures},
1745 {"PolyFeatures", SHOGUN_BASIC_CLASS __new_CPolyFeatures},
1746 {"DummyFeatures", SHOGUN_BASIC_CLASS __new_CDummyFeatures},
1747 {"LBPPyrDotFeatures", SHOGUN_BASIC_CLASS __new_CLBPPyrDotFeatures},
1748 {"Subset", SHOGUN_BASIC_CLASS __new_CSubset},
1749 {"StreamingVwFeatures", SHOGUN_BASIC_CLASS __new_CStreamingVwFeatures},
1750 {"GaussianBlobsDataGenerator", SHOGUN_BASIC_CLASS __new_CGaussianBlobsDataGenerator},
1751 {"MeanShiftDataGenerator", SHOGUN_BASIC_CLASS __new_CMeanShiftDataGenerator},
1752 {"StreamingHashedDocDotFeatures", SHOGUN_BASIC_CLASS __new_CStreamingHashedDocDotFeatures},
1753 {"HashedWDFeaturesTransposed", SHOGUN_BASIC_CLASS __new_CHashedWDFeaturesTransposed},
1754 {"BinnedDotFeatures", SHOGUN_BASIC_CLASS __new_CBinnedDotFeatures},
1755 {"SNPFeatures", SHOGUN_BASIC_CLASS __new_CSNPFeatures},
1756 {"ExplicitSpecFeatures", SHOGUN_BASIC_CLASS __new_CExplicitSpecFeatures},
1757 {"DataGenerator", SHOGUN_BASIC_CLASS __new_CDataGenerator},
1758 {"HashedWDFeatures", SHOGUN_BASIC_CLASS __new_CHashedWDFeatures},
1759 {"FactorGraphFeatures", SHOGUN_BASIC_CLASS __new_CFactorGraphFeatures},
1760 {"CombinedDotFeatures", SHOGUN_BASIC_CLASS __new_CCombinedDotFeatures},
1761 {"RealFileFeatures", SHOGUN_BASIC_CLASS __new_CRealFileFeatures},
1762 {"HashedDocDotFeatures", SHOGUN_BASIC_CLASS __new_CHashedDocDotFeatures},
1763 {"WDFeatures", SHOGUN_BASIC_CLASS __new_CWDFeatures},
1764 {"TOPFeatures", SHOGUN_BASIC_CLASS __new_CTOPFeatures},
1765 {"CombinedFeatures", SHOGUN_BASIC_CLASS __new_CCombinedFeatures},
1766 {"MMDKernelSelectionMax", SHOGUN_BASIC_CLASS __new_CMMDKernelSelectionMax},
1767 {"MMDKernelSelectionCombOpt", SHOGUN_BASIC_CLASS __new_CMMDKernelSelectionCombOpt},
1769 {"MMDKernelSelectionOpt", SHOGUN_BASIC_CLASS __new_CMMDKernelSelectionOpt},
1770 {"LinearTimeMMD", SHOGUN_BASIC_CLASS __new_CLinearTimeMMD},
1771 {"QuadraticTimeMMD", SHOGUN_BASIC_CLASS __new_CQuadraticTimeMMD},
1772 {"MMDKernelSelectionMedian", SHOGUN_BASIC_CLASS __new_CMMDKernelSelectionMedian},
1773 {"KernelMeanMatching", SHOGUN_BASIC_CLASS __new_CKernelMeanMatching},
1774 {"MMDKernelSelectionCombMaxL2", SHOGUN_BASIC_CLASS __new_CMMDKernelSelectionCombMaxL2},
1775 {"StructuredLabels", SHOGUN_BASIC_CLASS __new_CStructuredLabels},
1776 {"FactorGraphObservation", SHOGUN_BASIC_CLASS __new_CFactorGraphObservation},
1777 {"FactorGraphLabels", SHOGUN_BASIC_CLASS __new_CFactorGraphLabels},
1778 {"RegressionLabels", SHOGUN_BASIC_CLASS __new_CRegressionLabels},
1779 {"MulticlassMultipleOutputLabels", SHOGUN_BASIC_CLASS __new_CMulticlassMultipleOutputLabels},
1780 {"MulticlassLabels", SHOGUN_BASIC_CLASS __new_CMulticlassLabels},
1781 {"LabelsFactory", SHOGUN_BASIC_CLASS __new_CLabelsFactory},
1782 {"LatentLabels", SHOGUN_BASIC_CLASS __new_CLatentLabels},
1783 {"BinaryLabels", SHOGUN_BASIC_CLASS __new_CBinaryLabels},
1784 {"LatentSOSVM", SHOGUN_BASIC_CLASS __new_CLatentSOSVM},
1785 {"LatentSVM", SHOGUN_BASIC_CLASS __new_CLatentSVM},
1786 {"CustomKernel", SHOGUN_BASIC_CLASS __new_CCustomKernel},
1787 {"Chi2Kernel", SHOGUN_BASIC_CLASS __new_CChi2Kernel},
1788 {"CauchyKernel", SHOGUN_BASIC_CLASS __new_CCauchyKernel},
1789 {"SigmoidKernel", SHOGUN_BASIC_CLASS __new_CSigmoidKernel},
1790 {"TensorProductPairKernel", SHOGUN_BASIC_CLASS __new_CTensorProductPairKernel},
1791 {"MultiquadricKernel", SHOGUN_BASIC_CLASS __new_CMultiquadricKernel},
1792 {"WaveletKernel", SHOGUN_BASIC_CLASS __new_CWaveletKernel},
1793 {"ConstKernel", SHOGUN_BASIC_CLASS __new_CConstKernel},
1794 {"ProductKernel", SHOGUN_BASIC_CLASS __new_CProductKernel},
1795 {"JensenShannonKernel", SHOGUN_BASIC_CLASS __new_CJensenShannonKernel},
1796 {"GaussianKernel", SHOGUN_BASIC_CLASS __new_CGaussianKernel},
1797 {"GaussianShiftKernel", SHOGUN_BASIC_CLASS __new_CGaussianShiftKernel},
1798 {"TStudentKernel", SHOGUN_BASIC_CLASS __new_CTStudentKernel},
1799 {"PowerKernel", SHOGUN_BASIC_CLASS __new_CPowerKernel},
1800 {"InverseMultiQuadricKernel", SHOGUN_BASIC_CLASS __new_CInverseMultiQuadricKernel},
1801 {"AUCKernel", SHOGUN_BASIC_CLASS __new_CAUCKernel},
1802 {"ANOVAKernel", SHOGUN_BASIC_CLASS __new_CANOVAKernel},
1803 {"SphericalKernel", SHOGUN_BASIC_CLASS __new_CSphericalKernel},
1804 {"DistanceKernel", SHOGUN_BASIC_CLASS __new_CDistanceKernel},
1805 {"FixedDegreeStringKernel", SHOGUN_BASIC_CLASS __new_CFixedDegreeStringKernel},
1806 {"SalzbergWordStringKernel", SHOGUN_BASIC_CLASS __new_CSalzbergWordStringKernel},
1807 {"WeightedCommWordStringKernel", SHOGUN_BASIC_CLASS __new_CWeightedCommWordStringKernel},
1808 {"SpectrumRBFKernel", SHOGUN_BASIC_CLASS __new_CSpectrumRBFKernel},
1809 {"RegulatoryModulesStringKernel", SHOGUN_BASIC_CLASS __new_CRegulatoryModulesStringKernel},
1810 {"SparseSpatialSampleStringKernel", SHOGUN_BASIC_CLASS __new_CSparseSpatialSampleStringKernel},
1811 {"PolyMatchStringKernel", SHOGUN_BASIC_CLASS __new_CPolyMatchStringKernel},
1812 {"WeightedDegreePositionStringKernel", SHOGUN_BASIC_CLASS __new_CWeightedDegreePositionStringKernel},
1813 {"CommWordStringKernel", SHOGUN_BASIC_CLASS __new_CCommWordStringKernel},
1814 {"PolyMatchWordStringKernel", SHOGUN_BASIC_CLASS __new_CPolyMatchWordStringKernel},
1815 {"LocalityImprovedStringKernel", SHOGUN_BASIC_CLASS __new_CLocalityImprovedStringKernel},
1816 {"LinearStringKernel", SHOGUN_BASIC_CLASS __new_CLinearStringKernel},
1817 {"OligoStringKernel", SHOGUN_BASIC_CLASS __new_COligoStringKernel},
1818 {"MatchWordStringKernel", SHOGUN_BASIC_CLASS __new_CMatchWordStringKernel},
1819 {"GaussianMatchStringKernel", SHOGUN_BASIC_CLASS __new_CGaussianMatchStringKernel},
1820 {"DistantSegmentsKernel", SHOGUN_BASIC_CLASS __new_CDistantSegmentsKernel},
1821 {"WeightedDegreeStringKernel", SHOGUN_BASIC_CLASS __new_CWeightedDegreeStringKernel},
1822 {"CommUlongStringKernel", SHOGUN_BASIC_CLASS __new_CCommUlongStringKernel},
1823 {"HistogramWordStringKernel", SHOGUN_BASIC_CLASS __new_CHistogramWordStringKernel},
1824 {"SimpleLocalityImprovedStringKernel", SHOGUN_BASIC_CLASS __new_CSimpleLocalityImprovedStringKernel},
1825 {"SpectrumMismatchRBFKernel", SHOGUN_BASIC_CLASS __new_CSpectrumMismatchRBFKernel},
1826 {"LocalAlignmentStringKernel", SHOGUN_BASIC_CLASS __new_CLocalAlignmentStringKernel},
1827 {"SNPStringKernel", SHOGUN_BASIC_CLASS __new_CSNPStringKernel},
1828 {"ExponentialKernel", SHOGUN_BASIC_CLASS __new_CExponentialKernel},
1829 {"DiagKernel", SHOGUN_BASIC_CLASS __new_CDiagKernel},
1830 {"PolyKernel", SHOGUN_BASIC_CLASS __new_CPolyKernel},
1831 {"GaussianShortRealKernel", SHOGUN_BASIC_CLASS __new_CGaussianShortRealKernel},
1832 {"LinearARDKernel", SHOGUN_BASIC_CLASS __new_CLinearARDKernel},
1833 {"SplineKernel", SHOGUN_BASIC_CLASS __new_CSplineKernel},
1834 {"PyramidChi2", SHOGUN_BASIC_CLASS __new_CPyramidChi2},
1835 {"CircularKernel", SHOGUN_BASIC_CLASS __new_CCircularKernel},
1836 {"ScatterKernelNormalizer", SHOGUN_BASIC_CLASS __new_CScatterKernelNormalizer},
1837 {"VarianceKernelNormalizer", SHOGUN_BASIC_CLASS __new_CVarianceKernelNormalizer},
1838 {"RidgeKernelNormalizer", SHOGUN_BASIC_CLASS __new_CRidgeKernelNormalizer},
1839 {"SqrtDiagKernelNormalizer", SHOGUN_BASIC_CLASS __new_CSqrtDiagKernelNormalizer},
1840 {"TanimotoKernelNormalizer", SHOGUN_BASIC_CLASS __new_CTanimotoKernelNormalizer},
1841 {"DiceKernelNormalizer", SHOGUN_BASIC_CLASS __new_CDiceKernelNormalizer},
1842 {"AvgDiagKernelNormalizer", SHOGUN_BASIC_CLASS __new_CAvgDiagKernelNormalizer},
1843 {"ZeroMeanCenterKernelNormalizer", SHOGUN_BASIC_CLASS __new_CZeroMeanCenterKernelNormalizer},
1844 {"FirstElementKernelNormalizer", SHOGUN_BASIC_CLASS __new_CFirstElementKernelNormalizer},
1845 {"IdentityKernelNormalizer", SHOGUN_BASIC_CLASS __new_CIdentityKernelNormalizer},
1846 {"WaveKernel", SHOGUN_BASIC_CLASS __new_CWaveKernel},
1847 {"LogKernel", SHOGUN_BASIC_CLASS __new_CLogKernel},
1848 {"GaussianARDKernel", SHOGUN_BASIC_CLASS __new_CGaussianARDKernel},
1849 {"RationalQuadraticKernel", SHOGUN_BASIC_CLASS __new_CRationalQuadraticKernel},
1850 {"WeightedDegreeRBFKernel", SHOGUN_BASIC_CLASS __new_CWeightedDegreeRBFKernel},
1851 {"LinearKernel", SHOGUN_BASIC_CLASS __new_CLinearKernel},
1852 {"CombinedKernel", SHOGUN_BASIC_CLASS __new_CCombinedKernel},
1853 {"BesselKernel", SHOGUN_BASIC_CLASS __new_CBesselKernel},
1854 {"HistogramIntersectionKernel", SHOGUN_BASIC_CLASS __new_CHistogramIntersectionKernel},
1855 {"LeastSquaresRegression", SHOGUN_BASIC_CLASS __new_CLeastSquaresRegression},
1856 {"KernelRidgeRegression", SHOGUN_BASIC_CLASS __new_CKernelRidgeRegression},
1857 {"LibLinearRegression", SHOGUN_BASIC_CLASS __new_CLibLinearRegression},
1858 {"MKLRegression", SHOGUN_BASIC_CLASS __new_CMKLRegression},
1859 {"LibSVR", SHOGUN_BASIC_CLASS __new_CLibSVR},
1860 {"GaussianProcessRegression", SHOGUN_BASIC_CLASS __new_CGaussianProcessRegression},
1861 {"LinearRidgeRegression", SHOGUN_BASIC_CLASS __new_CLinearRidgeRegression},
1862 {"LeastAngleRegression", SHOGUN_BASIC_CLASS __new_CLeastAngleRegression},
1863 {"LineReader", SHOGUN_BASIC_CLASS __new_CLineReader},
1864 {"StreamingAsciiFile", SHOGUN_BASIC_CLASS __new_CStreamingAsciiFile},
1865 {"StreamingVwCacheFile", SHOGUN_BASIC_CLASS __new_CStreamingVwCacheFile},
1866 {"StreamingVwFile", SHOGUN_BASIC_CLASS __new_CStreamingVwFile},
1867 {"StreamingFile", SHOGUN_BASIC_CLASS __new_CStreamingFile},
1868 {"StreamingFileFromFeatures", SHOGUN_BASIC_CLASS __new_CStreamingFileFromFeatures},
1869 {"CSVFile", SHOGUN_BASIC_CLASS __new_CCSVFile},
1870 {"LibSVMFile", SHOGUN_BASIC_CLASS __new_CLibSVMFile},
1871 {"BinaryFile", SHOGUN_BASIC_CLASS __new_CBinaryFile},
1872 {"SerializableAsciiFile", SHOGUN_BASIC_CLASS __new_CSerializableAsciiFile},
1873 {"Parser", SHOGUN_BASIC_CLASS __new_CParser},
1874 {"IOBuffer", SHOGUN_BASIC_CLASS __new_CIOBuffer},
1876 {"LMNNStatistics", SHOGUN_BASIC_CLASS __new_CLMNNStatistics},
1877 {"KMeans", SHOGUN_BASIC_CLASS __new_CKMeans},
1878 {"Hierarchical", SHOGUN_BASIC_CLASS __new_CHierarchical},
1881 {"WeightedMajorityVote", SHOGUN_BASIC_CLASS __new_CWeightedMajorityVote},
1882 {"MeanRule", SHOGUN_BASIC_CLASS __new_CMeanRule},
1883 {"MajorityVote", SHOGUN_BASIC_CLASS __new_CMajorityVote},
1884 {"StratifiedCrossValidationSplitting", SHOGUN_BASIC_CLASS __new_CStratifiedCrossValidationSplitting},
1885 {"CrossValidationMulticlassStorage", SHOGUN_BASIC_CLASS __new_CCrossValidationMulticlassStorage},
1886 {"CrossValidationMKLStorage", SHOGUN_BASIC_CLASS __new_CCrossValidationMKLStorage},
1887 {"StructuredAccuracy", SHOGUN_BASIC_CLASS __new_CStructuredAccuracy},
1888 {"ClusteringMutualInformation", SHOGUN_BASIC_CLASS __new_CClusteringMutualInformation},
1889 {"ClusteringAccuracy", SHOGUN_BASIC_CLASS __new_CClusteringAccuracy},
1890 {"CrossValidationResult", SHOGUN_BASIC_CLASS __new_CCrossValidationResult},
1891 {"CrossValidation", SHOGUN_BASIC_CLASS __new_CCrossValidation},
1892 {"GradientCriterion", SHOGUN_BASIC_CLASS __new_CGradientCriterion},
1893 {"ContingencyTableEvaluation", SHOGUN_BASIC_CLASS __new_CContingencyTableEvaluation},
1894 {"AccuracyMeasure", SHOGUN_BASIC_CLASS __new_CAccuracyMeasure},
1895 {"ErrorRateMeasure", SHOGUN_BASIC_CLASS __new_CErrorRateMeasure},
1896 {"BALMeasure", SHOGUN_BASIC_CLASS __new_CBALMeasure},
1897 {"WRACCMeasure", SHOGUN_BASIC_CLASS __new_CWRACCMeasure},
1898 {"F1Measure", SHOGUN_BASIC_CLASS __new_CF1Measure},
1899 {"CrossCorrelationMeasure", SHOGUN_BASIC_CLASS __new_CCrossCorrelationMeasure},
1900 {"RecallMeasure", SHOGUN_BASIC_CLASS __new_CRecallMeasure},
1901 {"PrecisionMeasure", SHOGUN_BASIC_CLASS __new_CPrecisionMeasure},
1902 {"SpecificityMeasure", SHOGUN_BASIC_CLASS __new_CSpecificityMeasure},
1903 {"MulticlassAccuracy", SHOGUN_BASIC_CLASS __new_CMulticlassAccuracy},
1904 {"MulticlassOVREvaluation", SHOGUN_BASIC_CLASS __new_CMulticlassOVREvaluation},
1905 {"GradientResult", SHOGUN_BASIC_CLASS __new_CGradientResult},
1906 {"ROCEvaluation", SHOGUN_BASIC_CLASS __new_CROCEvaluation},
1907 {"CrossValidationPrintOutput", SHOGUN_BASIC_CLASS __new_CCrossValidationPrintOutput},
1908 {"MeanSquaredError", SHOGUN_BASIC_CLASS __new_CMeanSquaredError},
1909 {"PRCEvaluation", SHOGUN_BASIC_CLASS __new_CPRCEvaluation},
1910 {"CrossValidationSplitting", SHOGUN_BASIC_CLASS __new_CCrossValidationSplitting},
1911 {"GradientEvaluation", SHOGUN_BASIC_CLASS __new_CGradientEvaluation},
1912 {"MeanAbsoluteError", SHOGUN_BASIC_CLASS __new_CMeanAbsoluteError},
1913 {"MeanSquaredLogError", SHOGUN_BASIC_CLASS __new_CMeanSquaredLogError},
1914 {"ModelSelectionParameters", SHOGUN_BASIC_CLASS __new_CModelSelectionParameters},
1915 {"GradientModelSelection", SHOGUN_BASIC_CLASS __new_CGradientModelSelection},
1916 {"RandomSearchModelSelection", SHOGUN_BASIC_CLASS __new_CRandomSearchModelSelection},
1917 {"GridSearchModelSelection", SHOGUN_BASIC_CLASS __new_CGridSearchModelSelection},
1918 {"ParameterCombination", SHOGUN_BASIC_CLASS __new_CParameterCombination},
1919 {"GUIHMM", SHOGUN_BASIC_CLASS __new_CGUIHMM},
1920 {"GUIPluginEstimate", SHOGUN_BASIC_CLASS __new_CGUIPluginEstimate},
1921 {"GUIDistance", SHOGUN_BASIC_CLASS __new_CGUIDistance},
1922 {"GUIConverter", SHOGUN_BASIC_CLASS __new_CGUIConverter},
1923 {"GUIMath", SHOGUN_BASIC_CLASS __new_CGUIMath},
1924 {"GUIClassifier", SHOGUN_BASIC_CLASS __new_CGUIClassifier},
1925 {"GUIKernel", SHOGUN_BASIC_CLASS __new_CGUIKernel},
1926 {"GUIPreprocessor", SHOGUN_BASIC_CLASS __new_CGUIPreprocessor},
1927 {"GUILabels", SHOGUN_BASIC_CLASS __new_CGUILabels},
1928 {"GUITime", SHOGUN_BASIC_CLASS __new_CGUITime},
1929 {"GUIFeatures", SHOGUN_BASIC_CLASS __new_CGUIFeatures},
1930 {"GUIStructure", SHOGUN_BASIC_CLASS __new_CGUIStructure},
1931 {"SortUlongString", SHOGUN_BASIC_CLASS __new_CSortUlongString},
1932 {"RescaleFeatures", SHOGUN_BASIC_CLASS __new_CRescaleFeatures},
1933 {"DimensionReductionPreprocessor", SHOGUN_BASIC_CLASS __new_CDimensionReductionPreprocessor},
1934 {"SortWordString", SHOGUN_BASIC_CLASS __new_CSortWordString},
1935 {"SumOne", SHOGUN_BASIC_CLASS __new_CSumOne},
1936 {"RandomFourierGaussPreproc", SHOGUN_BASIC_CLASS __new_CRandomFourierGaussPreproc},
1937 {"PNorm", SHOGUN_BASIC_CLASS __new_CPNorm},
1938 {"NormOne", SHOGUN_BASIC_CLASS __new_CNormOne},
1939 {"KernelPCA", SHOGUN_BASIC_CLASS __new_CKernelPCA},
1940 {"HomogeneousKernelMap", SHOGUN_BASIC_CLASS __new_CHomogeneousKernelMap},
1941 {"LogPlusOne", SHOGUN_BASIC_CLASS __new_CLogPlusOne},
1942 {"PruneVarSubMean", SHOGUN_BASIC_CLASS __new_CPruneVarSubMean},
1944 {"NGramTokenizer", SHOGUN_BASIC_CLASS __new_CNGramTokenizer},
1945 {"IndexBlockTree", SHOGUN_BASIC_CLASS __new_CIndexBlockTree},
1946 {"IndexBlock", SHOGUN_BASIC_CLASS __new_CIndexBlock},
1947 {"BitString", SHOGUN_BASIC_CLASS __new_CBitString},
1948 {"IndexBlockGroup", SHOGUN_BASIC_CLASS __new_CIndexBlockGroup},
1949 {"ListElement", SHOGUN_BASIC_CLASS __new_CListElement},
1951 {"Compressor", SHOGUN_BASIC_CLASS __new_CCompressor},
1952 {"JobResult", SHOGUN_BASIC_CLASS __new_CJobResult},
1953 {"SerialComputationEngine", SHOGUN_BASIC_CLASS __new_CSerialComputationEngine},
1954 {"Signal", SHOGUN_BASIC_CLASS __new_CSignal},
1955 {"DelimiterTokenizer", SHOGUN_BASIC_CLASS __new_CDelimiterTokenizer},
1959 {"CircularBuffer", SHOGUN_BASIC_CLASS __new_CCircularBuffer},
1960 {"DynamicObjectArray", SHOGUN_BASIC_CLASS __new_CDynamicObjectArray},
1961 {"StructuredData", SHOGUN_BASIC_CLASS __new_CStructuredData},
1962 {"PositionalPWM", SHOGUN_BASIC_CLASS __new_CPositionalPWM},
1964 {"LinearHMM", SHOGUN_BASIC_CLASS __new_CLinearHMM},
1965 {"GaussianDistribution", SHOGUN_BASIC_CLASS __new_CGaussianDistribution},
1967 {"Gaussian", SHOGUN_BASIC_CLASS __new_CGaussian},
1968 {"Histogram", SHOGUN_BASIC_CLASS __new_CHistogram},
1969 {"SOSVMHelper", SHOGUN_BASIC_CLASS __new_CSOSVMHelper},
1970 {"PlifArray", SHOGUN_BASIC_CLASS __new_CPlifArray},
1971 {"FactorType", SHOGUN_BASIC_CLASS __new_CFactorType},
1972 {"TableFactorType", SHOGUN_BASIC_CLASS __new_CTableFactorType},
1973 {"HMSVMModel", SHOGUN_BASIC_CLASS __new_CHMSVMModel},
1974 {"StochasticSOSVM", SHOGUN_BASIC_CLASS __new_CStochasticSOSVM},
1975 {"Sequence", SHOGUN_BASIC_CLASS __new_CSequence},
1976 {"SequenceLabels", SHOGUN_BASIC_CLASS __new_CSequenceLabels},
1977 {"PlifMatrix", SHOGUN_BASIC_CLASS __new_CPlifMatrix},
1978 {"CCSOSVM", SHOGUN_BASIC_CLASS __new_CCCSOSVM},
1980 {"FactorGraph", SHOGUN_BASIC_CLASS __new_CFactorGraph},
1981 {"FactorDataSource", SHOGUN_BASIC_CLASS __new_CFactorDataSource},
1982 {"Factor", SHOGUN_BASIC_CLASS __new_CFactor},
1983 {"DynProg", SHOGUN_BASIC_CLASS __new_CDynProg},
1984 {"MulticlassSOLabels", SHOGUN_BASIC_CLASS __new_CMulticlassSOLabels},
1985 {"FactorGraphModel", SHOGUN_BASIC_CLASS __new_CFactorGraphModel},
1986 {"SegmentLoss", SHOGUN_BASIC_CLASS __new_CSegmentLoss},
1987 {"DisjointSet", SHOGUN_BASIC_CLASS __new_CDisjointSet},
1988 {"MulticlassModel", SHOGUN_BASIC_CLASS __new_CMulticlassModel},
1989 {"TwoStateModel", SHOGUN_BASIC_CLASS __new_CTwoStateModel},
1990 {"IntronList", SHOGUN_BASIC_CLASS __new_CIntronList},
1991 {"DualLibQPBMSOSVM", SHOGUN_BASIC_CLASS __new_CDualLibQPBMSOSVM},
1992 {"MAPInference", SHOGUN_BASIC_CLASS __new_CMAPInference},
1994 {"OnlineLibLinear", SHOGUN_BASIC_CLASS __new_COnlineLibLinear},
1995 {"SGDQN", SHOGUN_BASIC_CLASS __new_CSGDQN},
1996 {"MPDSVM", SHOGUN_BASIC_CLASS __new_CMPDSVM},
1997 {"LibSVMOneClass", SHOGUN_BASIC_CLASS __new_CLibSVMOneClass},
1998 {"OnlineSVMSGD", SHOGUN_BASIC_CLASS __new_COnlineSVMSGD},
1999 {"SVMLin", SHOGUN_BASIC_CLASS __new_CSVMLin},
2000 {"SVMSGD", SHOGUN_BASIC_CLASS __new_CSVMSGD},
2001 {"WDSVMOcas", SHOGUN_BASIC_CLASS __new_CWDSVMOcas},
2002 {"LibLinear", SHOGUN_BASIC_CLASS __new_CLibLinear},
2003 {"QPBSVMLib", SHOGUN_BASIC_CLASS __new_CQPBSVMLib},
2005 {"LibSVM", SHOGUN_BASIC_CLASS __new_CLibSVM},
2006 {"GNPPSVM", SHOGUN_BASIC_CLASS __new_CGNPPSVM},
2007 {"NewtonSVM", SHOGUN_BASIC_CLASS __new_CNewtonSVM},
2008 {"GNPPLib", SHOGUN_BASIC_CLASS __new_CGNPPLib},
2009 {"SVMOcas", SHOGUN_BASIC_CLASS __new_CSVMOcas},
2010 {"GPBTSVM", SHOGUN_BASIC_CLASS __new_CGPBTSVM},
2011 {"NearestCentroid", SHOGUN_BASIC_CLASS __new_CNearestCentroid},
2012 {"VwAdaptiveLearner", SHOGUN_BASIC_CLASS __new_CVwAdaptiveLearner},
2013 {"VwNonAdaptiveLearner", SHOGUN_BASIC_CLASS __new_CVwNonAdaptiveLearner},
2014 {"VwParser", SHOGUN_BASIC_CLASS __new_CVwParser},
2015 {"VowpalWabbit", SHOGUN_BASIC_CLASS __new_CVowpalWabbit},
2016 {"VwNativeCacheWriter", SHOGUN_BASIC_CLASS __new_CVwNativeCacheWriter},
2017 {"VwNativeCacheReader", SHOGUN_BASIC_CLASS __new_CVwNativeCacheReader},
2018 {"VwEnvironment", SHOGUN_BASIC_CLASS __new_CVwEnvironment},
2019 {"VwRegressor", SHOGUN_BASIC_CLASS __new_CVwRegressor},
2020 {"GaussianProcessBinaryClassification", SHOGUN_BASIC_CLASS __new_CGaussianProcessBinaryClassification},
2021 {"MKLOneClass", SHOGUN_BASIC_CLASS __new_CMKLOneClass},
2022 {"MKLMulticlass", SHOGUN_BASIC_CLASS __new_CMKLMulticlass},
2023 {"MKLClassification", SHOGUN_BASIC_CLASS __new_CMKLClassification},
2024 {"AveragedPerceptron", SHOGUN_BASIC_CLASS __new_CAveragedPerceptron},
2025 {"Perceptron", SHOGUN_BASIC_CLASS __new_CPerceptron},
2026 {"PluginEstimate", SHOGUN_BASIC_CLASS __new_CPluginEstimate},
2027 {"FeatureBlockLogisticRegression", SHOGUN_BASIC_CLASS __new_CFeatureBlockLogisticRegression},
2028 {"LogLossMargin", SHOGUN_BASIC_CLASS __new_CLogLossMargin},
2029 {"LogLoss", SHOGUN_BASIC_CLASS __new_CLogLoss},
2030 {"SquaredHingeLoss", SHOGUN_BASIC_CLASS __new_CSquaredHingeLoss},
2031 {"SquaredLoss", SHOGUN_BASIC_CLASS __new_CSquaredLoss},
2032 {"HingeLoss", SHOGUN_BASIC_CLASS __new_CHingeLoss},
2033 {"SmoothHingeLoss", SHOGUN_BASIC_CLASS __new_CSmoothHingeLoss},
2034 {"ManhattanWordDistance", SHOGUN_BASIC_CLASS __new_CManhattanWordDistance},
2035 {"MinkowskiMetric", SHOGUN_BASIC_CLASS __new_CMinkowskiMetric},
2036 {"TanimotoDistance", SHOGUN_BASIC_CLASS __new_CTanimotoDistance},
2037 {"SparseEuclideanDistance", SHOGUN_BASIC_CLASS __new_CSparseEuclideanDistance},
2038 {"CanberraWordDistance", SHOGUN_BASIC_CLASS __new_CCanberraWordDistance},
2039 {"CosineDistance", SHOGUN_BASIC_CLASS __new_CCosineDistance},
2040 {"CustomDistance", SHOGUN_BASIC_CLASS __new_CCustomDistance},
2041 {"BrayCurtisDistance", SHOGUN_BASIC_CLASS __new_CBrayCurtisDistance},
2042 {"EuclideanDistance", SHOGUN_BASIC_CLASS __new_CEuclideanDistance},
2043 {"CanberraMetric", SHOGUN_BASIC_CLASS __new_CCanberraMetric},
2044 {"ChiSquareDistance", SHOGUN_BASIC_CLASS __new_CChiSquareDistance},
2045 {"GeodesicMetric", SHOGUN_BASIC_CLASS __new_CGeodesicMetric},
2046 {"ChebyshewMetric", SHOGUN_BASIC_CLASS __new_CChebyshewMetric},
2047 {"HammingWordDistance", SHOGUN_BASIC_CLASS __new_CHammingWordDistance},
2048 {"MahalanobisDistance", SHOGUN_BASIC_CLASS __new_CMahalanobisDistance},
2049 {"ManhattanMetric", SHOGUN_BASIC_CLASS __new_CManhattanMetric},
2050 {"KernelDistance", SHOGUN_BASIC_CLASS __new_CKernelDistance},
2051 {"CustomMahalanobisDistance", SHOGUN_BASIC_CLASS __new_CCustomMahalanobisDistance},
2052 {"AttenuatedEuclideanDistance", SHOGUN_BASIC_CLASS __new_CAttenuatedEuclideanDistance},
2053 {"JensenMetric", SHOGUN_BASIC_CLASS __new_CJensenMetric},
2054 {"TreeMachine", SHOGUN_TEMPLATE_CLASS __new_CTreeMachine},
2055 {"StringFeatures", SHOGUN_TEMPLATE_CLASS __new_CStringFeatures},
2056 {"DenseFeatures", SHOGUN_TEMPLATE_CLASS __new_CDenseFeatures},
2057 {"MatrixFeatures", SHOGUN_TEMPLATE_CLASS __new_CMatrixFeatures},
2058 {"HashedSparseFeatures", SHOGUN_TEMPLATE_CLASS __new_CHashedSparseFeatures},
2059 {"StreamingHashedSparseFeatures", SHOGUN_TEMPLATE_CLASS __new_CStreamingHashedSparseFeatures},
2060 {"StreamingHashedDenseFeatures", SHOGUN_TEMPLATE_CLASS __new_CStreamingHashedDenseFeatures},
2061 {"StreamingStringFeatures", SHOGUN_TEMPLATE_CLASS __new_CStreamingStringFeatures},
2062 {"StreamingSparseFeatures", SHOGUN_TEMPLATE_CLASS __new_CStreamingSparseFeatures},
2063 {"StreamingDenseFeatures", SHOGUN_TEMPLATE_CLASS __new_CStreamingDenseFeatures},
2064 {"SparseFeatures", SHOGUN_TEMPLATE_CLASS __new_CSparseFeatures},
2065 {"DenseSubsetFeatures", SHOGUN_TEMPLATE_CLASS __new_CDenseSubsetFeatures},
2066 {"HashedDenseFeatures", SHOGUN_TEMPLATE_CLASS __new_CHashedDenseFeatures},
2067 {"StringFileFeatures", SHOGUN_TEMPLATE_CLASS __new_CStringFileFeatures},
2069 {"BinaryStream", SHOGUN_TEMPLATE_CLASS __new_CBinaryStream},
2070 {"StreamingFileFromDenseFeatures", SHOGUN_TEMPLATE_CLASS __new_CStreamingFileFromDenseFeatures},
2071 {"StreamingFileFromStringFeatures", SHOGUN_TEMPLATE_CLASS __new_CStreamingFileFromStringFeatures},
2072 {"ParseBuffer", SHOGUN_TEMPLATE_CLASS __new_CParseBuffer},
2073 {"StreamingFileFromSparseFeatures", SHOGUN_TEMPLATE_CLASS __new_CStreamingFileFromSparseFeatures},
2074 {"MemoryMappedFile", SHOGUN_TEMPLATE_CLASS __new_CMemoryMappedFile},
2075 {"DecompressString", SHOGUN_TEMPLATE_CLASS __new_CDecompressString},
2076 {"DynamicArray", SHOGUN_TEMPLATE_CLASS __new_CDynamicArray},
2079 {"DenseMatrixOperator", SHOGUN_TEMPLATE_CLASS __new_CDenseMatrixOperator},
2080 {"SparseMatrixOperator", SHOGUN_TEMPLATE_CLASS __new_CSparseMatrixOperator},
2081 {"StoreScalarAggregator", SHOGUN_TEMPLATE_CLASS __new_CStoreScalarAggregator},
2082 {"VectorResult", SHOGUN_TEMPLATE_CLASS __new_CVectorResult},
2083 {"ScalarResult", SHOGUN_TEMPLATE_CLASS __new_CScalarResult}, {NULL, NULL}
2084 };
2085 
2086 CSGObject* shogun::new_sgserializable(const char* sgserializable_name,
2087  EPrimitiveType generic)
2088 {
2089  for (class_list_entry_t* i=class_list; i->m_class_name != NULL;
2090  i++)
2091  {
2092  if (strncmp(i->m_class_name, sgserializable_name, STRING_LEN) == 0)
2093  return i->m_new_sgserializable(generic);
2094  }
2095 
2096  return NULL;
2097 }
static SHOGUN_BASIC_CLASS CSGObject * __new_CVwParser(EPrimitiveType g)
Definition: class_list.cpp:873
static SHOGUN_BASIC_CLASS CSGObject * __new_CStreamingAsciiFile(EPrimitiveType g)
Definition: class_list.cpp:723
static SHOGUN_TEMPLATE_CLASS CSGObject * __new_CTreeMachine(EPrimitiveType g)
Definition: class_list.cpp:913
Class GaussianProcessBinaryClassification implements binary classification based on Gaussian Processe...
static SHOGUN_BASIC_CLASS CSGObject * __new_CCompressor(EPrimitiveType g)
Definition: class_list.cpp:810
static SHOGUN_BASIC_CLASS CSGObject * __new_CMMDKernelSelectionMedian(EPrimitiveType g)
Definition: class_list.cpp:631
An I/O buffer class.
Definition: IOBuffer.h:44
static SHOGUN_BASIC_CLASS CSGObject * __new_CQDA(EPrimitiveType g)
Definition: class_list.cpp:555
Class Time that implements a stopwatch based on either cpu time or wall clock time.
Definition: Time.h:46
static SHOGUN_BASIC_CLASS CSGObject * __new_CBaseMulticlassMachine(EPrimitiveType g)
Definition: class_list.cpp:596
Base class that stores the result of an independent job when the result is a scalar.
static SHOGUN_BASIC_CLASS CSGObject * __new_CWDSVMOcas(EPrimitiveType g)
Definition: class_list.cpp:860
static SHOGUN_BASIC_CLASS CSGObject * __new_CHashedWDFeatures(EPrimitiveType g)
Definition: class_list.cpp:617
static SHOGUN_BASIC_CLASS CSGObject * __new_CStreamingHashedDocDotFeatures(EPrimitiveType g)
Definition: class_list.cpp:611
class Task used to represent tasks in multitask learning. Essentially it represent a set of feature v...
Definition: Task.h:25
class CosineDistance
static SHOGUN_BASIC_CLASS CSGObject * __new_CMultitaskKernelPlifNormalizer(EPrimitiveType g)
Definition: class_list.cpp:496
static SHOGUN_BASIC_CLASS CSGObject * __new_CCosineDistance(EPrimitiveType g)
Definition: class_list.cpp:898
static SHOGUN_BASIC_CLASS CSGObject * __new_COnlineSVMSGD(EPrimitiveType g)
Definition: class_list.cpp:857
class SVMLin
Definition: SVMLin.h:22
UI labels.
Definition: GUILabels.h:24
Wrapper class for an index subset which is used by SubsetStack.
Definition: Subset.h:22
static SHOGUN_BASIC_CLASS CSGObject * __new_CMeanAbsoluteError(EPrimitiveType g)
Definition: class_list.cpp:771
class HammingWordDistance
the class DimensionReductionPreprocessor, a base class for preprocessors used to lower the dimensiona...
static SHOGUN_BASIC_CLASS CSGObject * __new_CGHMM(EPrimitiveType g)
Definition: class_list.cpp:825
class LinearLocalTangentSpaceAlignment converter used to construct embeddings as described in: ...
static SHOGUN_BASIC_CLASS CSGObject * __new_CJediDiag(EPrimitiveType g)
Definition: class_list.cpp:533
Class CFactorType defines the way of factor parameterization.
Definition: FactorType.h:22
static SHOGUN_BASIC_CLASS CSGObject * __new_CCrossValidationPrintOutput(EPrimitiveType g)
Definition: class_list.cpp:766
Spherical kernel.
Positional PWM.
Definition: PositionalPWM.h:22
static SHOGUN_BASIC_CLASS CSGObject * __new_CDirectLinearSolverComplex(EPrimitiveType g)
Definition: class_list.cpp:515
The MultitaskKernel allows Multitask Learning via a modified kernel function.
Class KernelRidgeRegression implements Kernel Ridge Regression - a regularized least square method fo...
static SHOGUN_BASIC_CLASS CSGObject * __new_CIndexBlockGroup(EPrimitiveType g)
Definition: class_list.cpp:807
static SHOGUN_BASIC_CLASS CSGObject * __new_CLocalityPreservingProjections(EPrimitiveType g)
Definition: class_list.cpp:481
static SHOGUN_TEMPLATE_CLASS CSGObject * __new_CMatrixFeatures(EPrimitiveType g)
Definition: class_list.cpp:982
Computes the standard linear kernel on CDotFeatures.
Definition: LinearKernel.h:33
static SHOGUN_TEMPLATE_CLASS CSGObject * __new_CScalarResult(EPrimitiveType g)
base class for cross-validation evaluation. Given a learning machine, a splitting strategy...
static SHOGUN_BASIC_CLASS CSGObject * __new_CSerializableAsciiFile(EPrimitiveType g)
Definition: class_list.cpp:731
static SHOGUN_BASIC_CLASS CSGObject * __new_CJediSep(EPrimitiveType g)
Definition: class_list.cpp:476
static SHOGUN_BASIC_CLASS CSGObject * __new_CMultitaskLogisticRegression(EPrimitiveType g)
Definition: class_list.cpp:501
Class OnlineLinearMachine is a generic interface for linear machines like classifiers which work thro...
Class that models Logit likelihood.
Class QDA implements Quadratic Discriminant Analysis.
Definition: QDA.h:36
Base class of the labels used in Structured Output (SO) problems.
The standard Sigmoid kernel computed on dense real valued features.
Definition: SigmoidKernel.h:29
The class CNGramTokenizer is used to tokenize a SGVector&lt;char&gt; into n-grams.
Latent Features class The class if for representing features for latent learning, e...
The class MulticlassOVREvaluation used to compute evaluation parameters of multiclass classification ...
static SHOGUN_BASIC_CLASS CSGObject * __new_CCombinedDotFeatures(EPrimitiveType g)
Definition: class_list.cpp:619
static SHOGUN_BASIC_CLASS CSGObject * __new_CMulticlassMultipleOutputLabels(EPrimitiveType g)
Definition: class_list.cpp:638
The class ContingencyTableEvaluation a base class used to evaluate 2-class classification with TP...
Class CVwNativeCacheReader reads from a cache exactly as that which has been produced by VW&#39;s default...
static SHOGUN_BASIC_CLASS CSGObject * __new_CLocalAlignmentStringKernel(EPrimitiveType g)
Definition: class_list.cpp:685
Computes the standard polynomial kernel on CDotFeatures.
Definition: PolyKernel.h:36
This class implements streaming features for a document collection. Like in the standard Bag-of-Words...
Model selection class which searches for the best model by a gradient-search.
The Gaussian exact form inference method class.
static SHOGUN_BASIC_CLASS CSGObject * __new_CUWedgeSep(EPrimitiveType g)
Definition: class_list.cpp:478
Class StreamingAsciiFile to read vector-by-vector from ASCII files.
Class that models Gaussian likelihood.
static SHOGUN_BASIC_CLASS CSGObject * __new_CTwoStateModel(EPrimitiveType g)
Definition: class_list.cpp:848
static SHOGUN_BASIC_CLASS CSGObject * __new_CMMDKernelSelectionCombMaxL2(EPrimitiveType g)
Definition: class_list.cpp:633
static SHOGUN_BASIC_CLASS CSGObject * __new_CGaussianProcessBinaryClassification(EPrimitiveType g)
Definition: class_list.cpp:879
static SHOGUN_BASIC_CLASS CSGObject * __new_CLocalityImprovedStringKernel(EPrimitiveType g)
Definition: class_list.cpp:674
Real Labels are real-valued labels.
MKLMulticlass is a class for L1-norm Multiclass MKL.
Definition: MKLMulticlass.h:41
static SHOGUN_BASIC_CLASS CSGObject * __new_CStructuredAccuracy(EPrimitiveType g)
Definition: class_list.cpp:746
a string class embedding a string in a compact bit representation
Definition: BitString.h:28
static SHOGUN_BASIC_CLASS CSGObject * __new_CRealFileFeatures(EPrimitiveType g)
Definition: class_list.cpp:620
class GMNPLib Library of solvers for Generalized Minimal Norm Problem (GMNP).
Definition: GMNPLib.h:66
UI kernel.
Definition: GUIKernel.h:24
class IndexBlockGroup used to represent group-based feature relation.
static SHOGUN_BASIC_CLASS CSGObject * __new_CPyramidChi2(EPrimitiveType g)
Definition: class_list.cpp:693
Class that generates jobs for computing logarithm of a dense matrix linear operator.
static SHOGUN_BASIC_CLASS CSGObject * __new_CCombinedKernel(EPrimitiveType g)
Definition: class_list.cpp:711
static SHOGUN_BASIC_CLASS CSGObject * __new_CCanberraMetric(EPrimitiveType g)
Definition: class_list.cpp:902
static SHOGUN_TEMPLATE_CLASS CSGObject * __new_CDenseFeatures(EPrimitiveType g)
Definition: class_list.cpp:959
static SHOGUN_BASIC_CLASS CSGObject * __new_CPositionalPWM(EPrimitiveType g)
Definition: class_list.cpp:821
static SHOGUN_BASIC_CLASS CSGObject * __new_CRandom(EPrimitiveType g)
Definition: class_list.cpp:539
static SHOGUN_BASIC_CLASS CSGObject * __new_CLineReader(EPrimitiveType g)
Definition: class_list.cpp:722
static SHOGUN_BASIC_CLASS CSGObject * __new_CSortUlongString(EPrimitiveType g)
Definition: class_list.cpp:790
static SHOGUN_BASIC_CLASS CSGObject * __new_CECOCRandomDenseEncoder(EPrimitiveType g)
Definition: class_list.cpp:565
static SHOGUN_BASIC_CLASS CSGObject * __new_CLeastAngleRegression(EPrimitiveType g)
Definition: class_list.cpp:721
The Diagonal Kernel returns a constant for the diagonal and zero otherwise.
Definition: DiagKernel.h:26
static SHOGUN_BASIC_CLASS CSGObject * __new_CMulticlassLogisticRegression(EPrimitiveType g)
Definition: class_list.cpp:547
threshold based rejection strategy
static SHOGUN_BASIC_CLASS CSGObject * __new_CLinearStringKernel(EPrimitiveType g)
Definition: class_list.cpp:675
class to implement LibLinear
Definition: LibLinearMTL.h:90
static SHOGUN_BASIC_CLASS CSGObject * __new_CLogDetEstimator(EPrimitiveType g)
Definition: class_list.cpp:528
class PrecisionMeasure used to measure precision of 2-class classifier.
class WDSVMOcas
Definition: WDSVMOcas.h:26
static SHOGUN_BASIC_CLASS CSGObject * __new_CMultiquadricKernel(EPrimitiveType g)
Definition: class_list.cpp:650
static SHOGUN_BASIC_CLASS CSGObject * __new_CBinnedDotFeatures(EPrimitiveType g)
Definition: class_list.cpp:613
Class GaussianProcessRegression implements regression based on Gaussian Processes.
experimental abstract native multiclass machine class
class SparseEucldeanDistance
static SHOGUN_BASIC_CLASS CSGObject * __new_CFFDiag(EPrimitiveType g)
Definition: class_list.cpp:534
static SHOGUN_BASIC_CLASS CSGObject * __new_CTaskTree(EPrimitiveType g)
Definition: class_list.cpp:498
static SHOGUN_BASIC_CLASS CSGObject * __new_CStructuredData(EPrimitiveType g)
Definition: class_list.cpp:820
Class DualLibQPBMSOSVM that uses Bundle Methods for Regularized Risk Minimization algorithms for stru...
static SHOGUN_BASIC_CLASS CSGObject * __new_CJacobiEllipticFunctions(EPrimitiveType g)
Definition: class_list.cpp:537
static SHOGUN_BASIC_CLASS CSGObject * __new_CFactorGraphObservation(EPrimitiveType g)
Definition: class_list.cpp:635
Class CStreamingFileFromDenseFeatures is a derived class of CStreamingFile which creates an input sou...
Implementation of circular buffer This buffer has logical structure such as queue (FIFO)...
This class implements streaming features with dense feature vectors.
static SHOGUN_BASIC_CLASS CSGObject * __new_CDixonQTestRejectionStrategy(EPrimitiveType g)
Definition: class_list.cpp:541
This class offers access to the Oligo Kernel introduced by Meinicke et al. in 2004.
static SHOGUN_BASIC_CLASS CSGObject * __new_CQDiag(EPrimitiveType g)
Definition: class_list.cpp:535
static SHOGUN_BASIC_CLASS CSGObject * __new_CWaveKernel(EPrimitiveType g)
Definition: class_list.cpp:705
multiclass one vs one strategy used to train generic multiclass machines for K-class problems with bu...
static SHOGUN_BASIC_CLASS CSGObject * __new_CCommWordStringKernel(EPrimitiveType g)
Definition: class_list.cpp:672
CTaxonomy is used to describe hierarchical structure between tasks.
static SHOGUN_BASIC_CLASS CSGObject * __new_CKNN(EPrimitiveType g)
Definition: class_list.cpp:572
static SHOGUN_BASIC_CLASS CSGObject * __new_CMahalanobisDistance(EPrimitiveType g)
Definition: class_list.cpp:907
The CommUlongString kernel may be used to compute the spectrum kernel from strings that have been map...
static SHOGUN_TEMPLATE_CLASS CSGObject * __new_CStreamingStringFeatures(EPrimitiveType g)
static SHOGUN_TEMPLATE_CLASS CSGObject * __new_CStreamingHashedDenseFeatures(EPrimitiveType g)
DiceKernelNormalizer performs kernel normalization inspired by the Dice coefficient (see http://en...
The MultitaskKernel allows Multitask Learning via a modified kernel function.
static SHOGUN_BASIC_CLASS CSGObject * __new_CSimpleLocalityImprovedStringKernel(EPrimitiveType g)
Definition: class_list.cpp:683
#define SHOGUN_BASIC_CLASS
Definition: class_list.cpp:471
LibSVM.
Definition: LibSVM.h:28
static SHOGUN_BASIC_CLASS CSGObject * __new_CMultitaskLinearMachine(EPrimitiveType g)
Definition: class_list.cpp:502
static SHOGUN_BASIC_CLASS CSGObject * __new_CParameterCombination(EPrimitiveType g)
Definition: class_list.cpp:777
static SHOGUN_BASIC_CLASS CSGObject * __new_CBrayCurtisDistance(EPrimitiveType g)
Definition: class_list.cpp:900
Template class SimpleFile to read and write from files.
Definition: SimpleFile.h:28
A base class for Gaussian Processes.
class IndexBlockTree used to represent tree guided feature relation.
static SHOGUN_BASIC_CLASS CSGObject * __new_CRegulatoryModulesStringKernel(EPrimitiveType g)
Definition: class_list.cpp:668
The Custom Kernel allows for custom user provided kernel matrices.
Definition: CustomKernel.h:33
static SHOGUN_BASIC_CLASS CSGObject * __new_CNGramTokenizer(EPrimitiveType g)
Definition: class_list.cpp:803
The Product kernel is used to combine a number of kernels into a single ProductKernel object by eleme...
Definition: ProductKernel.h:39
static SHOGUN_BASIC_CLASS CSGObject * __new_CMulticlassOVREvaluation(EPrimitiveType g)
Definition: class_list.cpp:763
class JediSep
Definition: JediSep.h:35
static SHOGUN_BASIC_CLASS CSGObject * __new_CFactorGraphLabels(EPrimitiveType g)
Definition: class_list.cpp:636
static SHOGUN_BASIC_CLASS CSGObject * __new_CBinaryFile(EPrimitiveType g)
Definition: class_list.cpp:730
static SHOGUN_BASIC_CLASS CSGObject * __new_CFactorType(EPrimitiveType g)
Definition: class_list.cpp:830
static SHOGUN_BASIC_CLASS CSGObject * __new_CPlifArray(EPrimitiveType g)
Definition: class_list.cpp:829
Class CVwEnvironment is the environment used by VW.
Definition: VwEnvironment.h:39
Class that computes multiple independent instances of computation jobs sequentially.
class to perform Least Squares Regression
Linear Kernel with Automatic Relevance Detection.
static SHOGUN_TEMPLATE_CLASS CSGObject * __new_CDynamicArray(EPrimitiveType g)
static SHOGUN_BASIC_CLASS CSGObject * __new_CAlphabet(EPrimitiveType g)
Definition: class_list.cpp:597
static SHOGUN_BASIC_CLASS CSGObject * __new_CNeighborhoodPreservingEmbedding(EPrimitiveType g)
Definition: class_list.cpp:489
static SHOGUN_BASIC_CLASS CSGObject * __new_CCustomKernel(EPrimitiveType g)
Definition: class_list.cpp:645
simplified version of Dixon&#39;s Q test outlier based rejection strategy. Statistic values are taken fro...
Implementaion of rational approximation of a operator-function times vector where the operator functi...
static SHOGUN_BASIC_CLASS CSGObject * __new_CStructuredLabels(EPrimitiveType g)
Definition: class_list.cpp:634
Class MCLDA implements multiclass Linear Discriminant Analysis.
Definition: MCLDA.h:39
Class that represents the job of applying the log of a CDenseMatrixOperator on a real vector...
static SHOGUN_BASIC_CLASS CSGObject * __new_CMulticlassSVM(EPrimitiveType g)
Definition: class_list.cpp:542
class that uses conjugate gradient method of solving a linear system involving a real valued linear o...
static SHOGUN_TEMPLATE_CLASS CSGObject * __new_CHashedDenseFeatures(EPrimitiveType g)
static SHOGUN_BASIC_CLASS CSGObject * __new_CBinaryLabels(EPrimitiveType g)
Definition: class_list.cpp:642
static SHOGUN_BASIC_CLASS CSGObject * __new_CGaussianNaiveBayes(EPrimitiveType g)
Definition: class_list.cpp:551
static SHOGUN_BASIC_CLASS CSGObject * __new_CDirectSparseLinearSolver(EPrimitiveType g)
Definition: class_list.cpp:517
static SHOGUN_BASIC_CLASS CSGObject * __new_CMulticlassLabels(EPrimitiveType g)
Definition: class_list.cpp:639
UI HMM (Hidden Markov Model)
Definition: GUIHMM.h:26
The Jensen-Shannon kernel operating on real-valued vectors computes the Jensen-Shannon distance betwe...
static SHOGUN_BASIC_CLASS CSGObject * __new_CRandomSearchModelSelection(EPrimitiveType g)
Definition: class_list.cpp:775
class GNPPLib, a Library of solvers for Generalized Nearest Point Problem (GNPP). ...
Definition: GNPPLib.h:31
class CrossCorrelationMeasure used to measure cross correlation coefficient of 2-class classifier...
static SHOGUN_BASIC_CLASS CSGObject * __new_CExplicitSpecFeatures(EPrimitiveType g)
Definition: class_list.cpp:615
static SHOGUN_BASIC_CLASS CSGObject * __new_CGUIPreprocessor(EPrimitiveType g)
Definition: class_list.cpp:785
The class GaussianMatchStringKernel computes a variant of the Gaussian kernel on strings of same leng...
static SHOGUN_BASIC_CLASS CSGObject * __new_CCircularBuffer(EPrimitiveType g)
Definition: class_list.cpp:818
class Latent Structured Output SVM, an structured output based machine for classification problems wi...
Definition: LatentSOSVM.h:23
Implements optimal kernel selection for single kernels. Given a number of baseline kernels...
Class FFDiag.
Definition: FFDiag.h:35
static SHOGUN_TEMPLATE_CLASS CSGObject * __new_CStoreScalarAggregator(EPrimitiveType g)
Multiclass Labels for multi-class classification with multiple labels.
static SHOGUN_BASIC_CLASS CSGObject * __new_CLinearTimeMMD(EPrimitiveType g)
Definition: class_list.cpp:629
static SHOGUN_BASIC_CLASS CSGObject * __new_CZeroMeanCenterKernelNormalizer(EPrimitiveType g)
Definition: class_list.cpp:702
class MinkowskiMetric
CVwParser is the object which provides the functions to parse examples from buffered input...
Definition: VwParser.h:46
static SHOGUN_BASIC_CLASS CSGObject * __new_CSVMLin(EPrimitiveType g)
Definition: class_list.cpp:858
static SHOGUN_BASIC_CLASS CSGObject * __new_CGUIStructure(EPrimitiveType g)
Definition: class_list.cpp:789
static SHOGUN_BASIC_CLASS CSGObject * __new_CTensorProductPairKernel(EPrimitiveType g)
Definition: class_list.cpp:649
static SHOGUN_BASIC_CLASS CSGObject * __new_CLDA(EPrimitiveType g)
Definition: class_list.cpp:852
static SHOGUN_BASIC_CLASS CSGObject * __new_CLibLinearRegression(EPrimitiveType g)
Definition: class_list.cpp:716
Class CHMSVMModel that represents the application specific model and contains the application depende...
Definition: HMSVMModel.h:29
static SHOGUN_BASIC_CLASS CSGObject * __new_CLinearMulticlassMachine(EPrimitiveType g)
Definition: class_list.cpp:586
class AccuracyMeasure used to measure accuracy of 2-class classifier.
Gaussian distribution interface.
Definition: Gaussian.h:46
static SHOGUN_BASIC_CLASS CSGObject * __new_CGradientCriterion(EPrimitiveType g)
Definition: class_list.cpp:751
static SHOGUN_BASIC_CLASS CSGObject * __new_CGUIConverter(EPrimitiveType g)
Definition: class_list.cpp:781
static SHOGUN_BASIC_CLASS CSGObject * __new_CStreamingFile(EPrimitiveType g)
Definition: class_list.cpp:726
static SHOGUN_BASIC_CLASS CSGObject * __new_CJensenShannonKernel(EPrimitiveType g)
Definition: class_list.cpp:654
class MPDSVM
Definition: MPDSVM.h:21
class CTwoStateModel class for the internal two-state representation used in the CHMSVMModel.
Definition: TwoStateModel.h:24
static SHOGUN_BASIC_CLASS CSGObject * __new_CLocalTangentSpaceAlignment(EPrimitiveType g)
Definition: class_list.cpp:487
static SHOGUN_BASIC_CLASS CSGObject * __new_CDenseExactLogJob(EPrimitiveType g)
Definition: class_list.cpp:527
Template class SparseFeatures implements sparse matrices.
static SHOGUN_BASIC_CLASS CSGObject * __new_CDiffusionMaps(EPrimitiveType g)
Definition: class_list.cpp:491
Base class that stores the result of an independent job.
Definition: JobResult.h:20
static SHOGUN_BASIC_CLASS CSGObject * __new_CInverseMultiQuadricKernel(EPrimitiveType g)
Definition: class_list.cpp:659
spectrum rbf kernel
static SHOGUN_BASIC_CLASS CSGObject * __new_CJADiag(EPrimitiveType g)
Definition: class_list.cpp:532
static SHOGUN_BASIC_CLASS CSGObject * __new_CGUIDistance(EPrimitiveType g)
Definition: class_list.cpp:780
static SHOGUN_BASIC_CLASS CSGObject * __new_CSNPStringKernel(EPrimitiveType g)
Definition: class_list.cpp:686
class Jade
Definition: Jade.h:37
class Multitask Least Squares Regression, a machine to solve regression problems with a few tasks rel...
static SHOGUN_BASIC_CLASS CSGObject * __new_CSmoothHingeLoss(EPrimitiveType g)
Definition: class_list.cpp:892
static SHOGUN_BASIC_CLASS CSGObject * __new_CDiagKernel(EPrimitiveType g)
Definition: class_list.cpp:688
The FixedDegree String kernel takes as input two strings of same size and counts the number of matche...
static SHOGUN_BASIC_CLASS CSGObject * __new_CMultidimensionalScaling(EPrimitiveType g)
Definition: class_list.cpp:472
static SHOGUN_BASIC_CLASS CSGObject * __new_CGaussian(EPrimitiveType g)
Definition: class_list.cpp:826
class StochasticProximityEmbedding used to construct embeddings of data using the Stochastic Proximit...
Class JADiagOrth.
Definition: JADiagOrth.h:35
Class QDiag.
Definition: QDiag.h:34
static SHOGUN_BASIC_CLASS CSGObject * __new_CNativeMulticlassMachine(EPrimitiveType g)
Definition: class_list.cpp:577
static SHOGUN_BASIC_CLASS CSGObject * __new_CLMNN(EPrimitiveType g)
Definition: class_list.cpp:734
static SHOGUN_BASIC_CLASS CSGObject * __new_CRationalQuadraticKernel(EPrimitiveType g)
Definition: class_list.cpp:708
class FeatureBlockLogisticRegression, a linear binary logistic loss classifier for problems with comp...
UI time.
Definition: GUITime.h:23
The class Alphabet implements an alphabet and alphabet utility functions.
Definition: Alphabet.h:88
Class Averaged Perceptron implements the standard linear (online) algorithm. Averaged perceptron is t...
This class is identical to the CDenseFeatures class except that it hashes each dimension to a new fea...
class GHMM - this class is non-functional and was meant to implement a Generalize Hidden Markov Model...
Definition: GHMM.h:22
static SHOGUN_BASIC_CLASS CSGObject * __new_CRescaleFeatures(EPrimitiveType g)
Definition: class_list.cpp:791
static SHOGUN_BASIC_CLASS CSGObject * __new_CBitString(EPrimitiveType g)
Definition: class_list.cpp:806
static SHOGUN_BASIC_CLASS CSGObject * __new_CLinearStructuredOutputMachine(EPrimitiveType g)
Definition: class_list.cpp:578
This class acts as an alternative to the CStreamingSparseFeatures class and their difference is that ...
ANOVA (ANalysis Of VAriances) kernel.
Definition: ANOVAKernel.h:37
static SHOGUN_BASIC_CLASS CSGObject * __new_CPolyKernel(EPrimitiveType g)
Definition: class_list.cpp:689
The class MulticlassAccuracy used to compute accuracy of multiclass classification.
static SHOGUN_BASIC_CLASS CSGObject * __new_CSignal(EPrimitiveType g)
Definition: class_list.cpp:813
static SHOGUN_BASIC_CLASS CSGObject * __new_CCrossValidationSplitting(EPrimitiveType g)
Definition: class_list.cpp:769
class Tanimoto coefficient
static SHOGUN_BASIC_CLASS CSGObject * __new_CScatterSVM(EPrimitiveType g)
Definition: class_list.cpp:556
class ManhattanMetric
Compression library for compressing and decompressing buffers using one of the standard compression a...
Definition: Compressor.h:46
static SHOGUN_BASIC_CLASS CSGObject * __new_CDenseMatrixExactLog(EPrimitiveType g)
Definition: class_list.cpp:522
static SHOGUN_BASIC_CLASS CSGObject * __new_CGMNPSVM(EPrimitiveType g)
Definition: class_list.cpp:557
static SHOGUN_BASIC_CLASS CSGObject * __new_CWeightedDegreePositionStringKernel(EPrimitiveType g)
Definition: class_list.cpp:671
static SHOGUN_BASIC_CLASS CSGObject * __new_CECOCHDDecoder(EPrimitiveType g)
Definition: class_list.cpp:566
static SHOGUN_BASIC_CLASS CSGObject * __new_CMulticlassLibLinear(EPrimitiveType g)
Definition: class_list.cpp:550
static SHOGUN_BASIC_CLASS CSGObject * __new_CRandomFourierGaussPreproc(EPrimitiveType g)
Definition: class_list.cpp:795
static SHOGUN_BASIC_CLASS CSGObject * __new_CLMNNStatistics(EPrimitiveType g)
Definition: class_list.cpp:735
static SHOGUN_BASIC_CLASS CSGObject * __new_CMultitaskROCEvaluation(EPrimitiveType g)
Definition: class_list.cpp:510
class MultitaskClusteredLogisticRegression, a classifier for multitask problems. Supports only task g...
class ChiSquareDistance
static SHOGUN_BASIC_CLASS CSGObject * __new_CMulticlassOCAS(EPrimitiveType g)
Definition: class_list.cpp:559
static SHOGUN_BASIC_CLASS CSGObject * __new_CCommUlongStringKernel(EPrimitiveType g)
Definition: class_list.cpp:681
static SHOGUN_BASIC_CLASS CSGObject * __new_CGUIFeatures(EPrimitiveType g)
Definition: class_list.cpp:788
static SHOGUN_BASIC_CLASS CSGObject * __new_COnlineLibLinear(EPrimitiveType g)
Definition: class_list.cpp:853
static SHOGUN_TEMPLATE_CLASS CSGObject * __new_CStreamingFileFromStringFeatures(EPrimitiveType g)
static SHOGUN_BASIC_CLASS CSGObject * __new_CDualLibQPBMSOSVM(EPrimitiveType g)
Definition: class_list.cpp:850
VwAdaptiveLearner uses an adaptive subgradient technique to update weights.
static SHOGUN_BASIC_CLASS CSGObject * __new_CCustomDistance(EPrimitiveType g)
Definition: class_list.cpp:899
Generalized T-Student kernel.
class LocalTangentSpaceAlignment used to embed data using Local Tangent Space Alignment (LTSA) algori...
static SHOGUN_BASIC_CLASS CSGObject * __new_CFactorGraph(EPrimitiveType g)
Definition: class_list.cpp:839
static SHOGUN_BASIC_CLASS CSGObject * __new_CHomogeneousKernelMap(EPrimitiveType g)
Definition: class_list.cpp:799
static SHOGUN_BASIC_CLASS CSGObject * __new_CContingencyTableEvaluation(EPrimitiveType g)
Definition: class_list.cpp:752
class IntronList
Definition: SegmentLoss.h:22
Class LMNNStatistics used to give access to intermediate results obtained training LMNN...
Definition: LMNN.h:251
Preprocessor SortUlongString, sorts the indivual strings in ascending order.
The SalzbergWordString kernel implements the Salzberg kernel.
static SHOGUN_BASIC_CLASS CSGObject * __new_CCrossValidationMKLStorage(EPrimitiveType g)
Definition: class_list.cpp:745
static SHOGUN_BASIC_CLASS CSGObject * __new_CLeastSquaresRegression(EPrimitiveType g)
Definition: class_list.cpp:714
static SHOGUN_BASIC_CLASS CSGObject * __new_CWeightedDegreeStringKernel(EPrimitiveType g)
Definition: class_list.cpp:680
static SHOGUN_BASIC_CLASS CSGObject * __new_CManifoldSculpting(EPrimitiveType g)
Definition: class_list.cpp:482
static SHOGUN_BASIC_CLASS CSGObject * __new_CPCA(EPrimitiveType g)
Definition: class_list.cpp:802
Preprocessor LogPlusOne does what the name says, it adds one to a dense real valued vector and takes ...
Definition: LogPlusOne.h:33
Implementation of optimal kernel selection for combined kernel. This class selects a combination of b...
A generic KernelMachine interface.
Definition: KernelMachine.h:50
Multiple Kernel Learning for one-class-classification.
Definition: MKLOneClass.h:25
static SHOGUN_BASIC_CLASS CSGObject * __new_CExactInferenceMethod(EPrimitiveType g)
Definition: class_list.cpp:594
class TaskGroup used to represent a group of tasks. Tasks in group do not overlap.
Definition: TaskGroup.h:26
static SHOGUN_BASIC_CLASS CSGObject * __new_CMachine(EPrimitiveType g)
Definition: class_list.cpp:584
Class for buffered reading from a ascii file.
Definition: LineReader.h:20
static SHOGUN_BASIC_CLASS CSGObject * __new_CNormalSampler(EPrimitiveType g)
Definition: class_list.cpp:520
Agglomerative hierarchical single linkage clustering.
Definition: Hierarchical.h:37
static SHOGUN_BASIC_CLASS CSGObject * __new_CCrossValidation(EPrimitiveType g)
Definition: class_list.cpp:750
Class CSequenceLabels used e.g. in the application of Structured Output (SO) learning to Hidden Marko...
static SHOGUN_TEMPLATE_CLASS CSGObject * __new_CStreamingHashedSparseFeatures(EPrimitiveType g)
class KernelLocallyLinearEmbedding used to construct embeddings of data using kernel formulation of L...
static SHOGUN_BASIC_CLASS CSGObject * __new_CNearestCentroid(EPrimitiveType g)
Definition: class_list.cpp:870
static SHOGUN_BASIC_CLASS CSGObject * __new_CLibLinearMTL(EPrimitiveType g)
Definition: class_list.cpp:497
static SHOGUN_TEMPLATE_CLASS CSGObject * __new_CDenseSubsetFeatures(EPrimitiveType g)
static SHOGUN_BASIC_CLASS CSGObject * __new_CSOBI(EPrimitiveType g)
Definition: class_list.cpp:474
static SHOGUN_BASIC_CLASS CSGObject * __new_CChiSquareDistance(EPrimitiveType g)
Definition: class_list.cpp:903
static SHOGUN_BASIC_CLASS CSGObject * __new_CKMeans(EPrimitiveType g)
Definition: class_list.cpp:736
static SHOGUN_TEMPLATE_CLASS CSGObject * __new_CStreamingFileFromDenseFeatures(EPrimitiveType g)
static SHOGUN_BASIC_CLASS CSGObject * __new_CSparsePolyFeatures(EPrimitiveType g)
Definition: class_list.cpp:603
The class SNPStringKernel computes a variant of the polynomial kernel on strings of same length...
static SHOGUN_BASIC_CLASS CSGObject * __new_CStochasticProximityEmbedding(EPrimitiveType g)
Definition: class_list.cpp:473
Features that compute the Weighted Degreee Kernel feature space explicitly.
Definition: WDFeatures.h:28
static SHOGUN_BASIC_CLASS CSGObject * __new_CECOCForestEncoder(EPrimitiveType g)
Definition: class_list.cpp:568
static SHOGUN_BASIC_CLASS CSGObject * __new_CExponentialKernel(EPrimitiveType g)
Definition: class_list.cpp:687
static SHOGUN_BASIC_CLASS CSGObject * __new_CDynamicObjectArray(EPrimitiveType g)
Definition: class_list.cpp:819
type to encapsulate the results of an evaluation run. May contain confidence interval (if conf_int_al...
The Kernel distance takes a distance as input.
The Exponential Kernel, closely related to the Gaussian Kernel computed on CDotFeatures.
TanimotoKernelNormalizer performs kernel normalization inspired by the Tanimoto coefficient (see http...
static SHOGUN_TEMPLATE_CLASS CSGObject * __new_CSimpleFile(EPrimitiveType g)
static SHOGUN_BASIC_CLASS CSGObject * __new_CLatentSVM(EPrimitiveType g)
Definition: class_list.cpp:644
Class to create unbiased estimators of . For each estimate, it samples trace vectors (one by one) and...
class ManhattanWordDistance
static SHOGUN_BASIC_CLASS CSGObject * __new_CAUCKernel(EPrimitiveType g)
Definition: class_list.cpp:660
static SHOGUN_BASIC_CLASS CSGObject * __new_CLinearKernel(EPrimitiveType g)
Definition: class_list.cpp:710
static SHOGUN_BASIC_CLASS CSGObject * __new_CKernelMachine(EPrimitiveType g)
Definition: class_list.cpp:579
static SHOGUN_BASIC_CLASS CSGObject * __new_CLogKernel(EPrimitiveType g)
Definition: class_list.cpp:706
Class FactorGraphLabels used e.g. in the application of Structured Output (SO) learning with the Fact...
Computes the Spline Kernel function which is the cubic polynomial.
Definition: SplineKernel.h:36
static SHOGUN_BASIC_CLASS CSGObject * __new_CTanimotoKernelNormalizer(EPrimitiveType g)
Definition: class_list.cpp:699
class DomainAdaptationSVMLinear
Model selection class which searches for the best model by a grid- search. See CModelSelection for de...
class Tron
Definition: tron.h:55
class LibSVMMultiClass. Does one vs one classification.
static SHOGUN_BASIC_CLASS CSGObject * __new_CDisjointSet(EPrimitiveType g)
Definition: class_list.cpp:846
static SHOGUN_BASIC_CLASS CSGObject * __new_CStochasticSOSVM(EPrimitiveType g)
Definition: class_list.cpp:833
static SHOGUN_BASIC_CLASS CSGObject * __new_CSquaredLoss(EPrimitiveType g)
Definition: class_list.cpp:890
static SHOGUN_BASIC_CLASS CSGObject * __new_CSVMSGD(EPrimitiveType g)
Definition: class_list.cpp:859
The WeightedCommWordString kernel may be used to compute the weighted spectrum kernel (i...
static SHOGUN_BASIC_CLASS CSGObject * __new_CHistogramIntersectionKernel(EPrimitiveType g)
Definition: class_list.cpp:713
static SHOGUN_BASIC_CLASS CSGObject * __new_CFastICA(EPrimitiveType g)
Definition: class_list.cpp:479
Multiple Kernel Learning for regression.
Definition: MKLRegression.h:25
static SHOGUN_BASIC_CLASS CSGObject * __new_CGaussianMatchStringKernel(EPrimitiveType g)
Definition: class_list.cpp:678
Class CMeanSquaredLogError used to compute an error of regression model.
static SHOGUN_BASIC_CLASS CSGObject * __new_CCCSOSVM(EPrimitiveType g)
Definition: class_list.cpp:837
static SHOGUN_BASIC_CLASS CSGObject * __new_CBALMeasure(EPrimitiveType g)
Definition: class_list.cpp:755
Class LDA implements regularized Linear Discriminant Analysis.
Definition: LDA.h:52
static SHOGUN_BASIC_CLASS CSGObject * __new_CLibLinear(EPrimitiveType g)
Definition: class_list.cpp:861
Computes the Tensor Product Pair Kernel (TPPK).
class Plif
Definition: Plif.h:38
class Multitask Logistic Regression used to solve classification problems with a few tasks related vi...
A generic DistanceMachine interface.
A generic learning machine interface.
Definition: Machine.h:138
static SHOGUN_BASIC_CLASS CSGObject * __new_CDistantSegmentsKernel(EPrimitiveType g)
Definition: class_list.cpp:679
static SHOGUN_BASIC_CLASS CSGObject * __new_CSqrtDiagKernelNormalizer(EPrimitiveType g)
Definition: class_list.cpp:698
UI classifier.
Definition: GUIClassifier.h:24
Class CSequence to be used in the application of Structured Output (SO) learning to Hidden Markov Sup...
Class to select parameters and their ranges for model selection. The structure is organized as a tree...
class LibSVMOneClass
static SHOGUN_BASIC_CLASS CSGObject * __new_CChi2Kernel(EPrimitiveType g)
Definition: class_list.cpp:646
static SHOGUN_BASIC_CLASS CSGObject * __new_CLatentFeatures(EPrimitiveType g)
Definition: class_list.cpp:599
A CNode is an element of a CTaxonomy, which is used to describe hierarchical structure between tasks...
static SHOGUN_BASIC_CLASS CSGObject * __new_CSegmentLoss(EPrimitiveType g)
Definition: class_list.cpp:845
class to add subset support to another class. A CSubsetStackStack instance should be added and wrappe...
Definition: SubsetStack.h:35
class DiffusionMaps used to preprocess given data using Diffusion Maps dimensionality reduction techn...
Definition: DiffusionMaps.h:40
Class LinearRidgeRegression implements Ridge Regression - a regularized least square method for class...
Class that contains certain functions related to statistics, such as probability/cumulative distribut...
Definition: Statistics.h:31
A Streaming File access class.
Definition: StreamingFile.h:39
Class that contains certain methods related to numerical integration.
Definition: Integration.h:36
The Constant Kernel returns a constant for all elements.
Definition: ConstKernel.h:27
static SHOGUN_BASIC_CLASS CSGObject * __new_CECOCEDDecoder(EPrimitiveType g)
Definition: class_list.cpp:569
class F1Measure used to measure F1 score of 2-class classifier.
Class LMNN that implements the distance metric learning technique Large Margin Nearest Neighbour (LMN...
Definition: LMNN.h:38
static SHOGUN_BASIC_CLASS CSGObject * __new_CGUILabels(EPrimitiveType g)
Definition: class_list.cpp:786
CCSOSVM.
Definition: CCSOSVM.h:38
The Chi2 kernel operating on realvalued vectors computes the chi-squared distance between sets of his...
Definition: Chi2Kernel.h:32
Features that compute the Weighted Spectrum Kernel feature space explicitly.
static SHOGUN_BASIC_CLASS CSGObject * __new_CSubset(EPrimitiveType g)
Definition: class_list.cpp:607
static SHOGUN_TEMPLATE_CLASS CSGObject * __new_CStringFeatures(EPrimitiveType g)
Definition: class_list.cpp:936
Class that aggregates vector job results in each submit_result call of jobs generated from rational a...
The class BinnedDotFeatures contains a 0-1 conversion of features into bins.
class ChebyshewMetric
Class StreamingFileFromFeatures to read vector-by-vector from a CFeatures object. ...
Preprocessor PruneVarSubMean will substract the mean and remove features that have zero variance...
static SHOGUN_BASIC_CLASS CSGObject * __new_CHingeLoss(EPrimitiveType g)
Definition: class_list.cpp:891
static SHOGUN_BASIC_CLASS CSGObject * __new_CMPDSVM(EPrimitiveType g)
Definition: class_list.cpp:855
Gaussian Kernel with Automatic Relevance Detection.
static SHOGUN_BASIC_CLASS CSGObject * __new_CPluginEstimate(EPrimitiveType g)
Definition: class_list.cpp:885
static SHOGUN_BASIC_CLASS CSGObject * __new_CTaskGroup(EPrimitiveType g)
Definition: class_list.cpp:506
Class for storing MKL weights in every fold of cross-validation.
static SHOGUN_BASIC_CLASS CSGObject * __new_CParser(EPrimitiveType g)
Definition: class_list.cpp:732
Class that provides a solve method for complex dense-matrix linear systems.
The AUC kernel can be used to maximize the area under the receiver operator characteristic curve (AUC...
Definition: AUCKernel.h:33
Multiclass Labels for multi-class classification.
class UWedgeSep
Definition: UWedgeSep.h:35
Implementation of independent job that solves one of the family of shifted systems in rational approx...
class IntronList
Definition: IntronList.h:20
static SHOGUN_BASIC_CLASS CSGObject * __new_CRegressionLabels(EPrimitiveType g)
Definition: class_list.cpp:637
static SHOGUN_BASIC_CLASS CSGObject * __new_CMultitaskKernelMaskNormalizer(EPrimitiveType g)
Definition: class_list.cpp:500
static SHOGUN_BASIC_CLASS CSGObject * __new_CEPInferenceMethod(EPrimitiveType g)
Definition: class_list.cpp:589
the class Bessel kernel
Definition: BesselKernel.h:32
The distant segments kernel is a string kernel, which counts the number of substrings, so-called segments, at a certain distance from each other.
static SHOGUN_BASIC_CLASS CSGObject * __new_CAttenuatedEuclideanDistance(EPrimitiveType g)
Definition: class_list.cpp:911
static SHOGUN_BASIC_CLASS CSGObject * __new_CUWedge(EPrimitiveType g)
Definition: class_list.cpp:531
static SHOGUN_BASIC_CLASS CSGObject * __new_CProbitLikelihood(EPrimitiveType g)
Definition: class_list.cpp:592
Weighted Majority Vote implementation.
static SHOGUN_BASIC_CLASS CSGObject * __new_CFKFeatures(EPrimitiveType g)
Definition: class_list.cpp:602
static SHOGUN_BASIC_CLASS CSGObject * __new_CWaveletKernel(EPrimitiveType g)
Definition: class_list.cpp:651
CSGObject *(* new_sgserializable_t)(EPrimitiveType generic)
static SHOGUN_BASIC_CLASS CSGObject * __new_CRecallMeasure(EPrimitiveType g)
Definition: class_list.cpp:759
static SHOGUN_BASIC_CLASS CSGObject * __new_CMulticlassOneVsRestStrategy(EPrimitiveType g)
Definition: class_list.cpp:544
The class PolyMatchWordStringKernel computes a variant of the polynomial kernel on word-features...
class LocalityPreservingProjections used to compute embeddings of data using Locality Preserving Proj...
static SHOGUN_TEMPLATE_CLASS CSGObject * __new_CDenseMatrixOperator(EPrimitiveType g)
class Multidimensionalscaling is used to perform multidimensional scaling (capable of landmark approx...
static SHOGUN_BASIC_CLASS CSGObject * __new_CTask(EPrimitiveType g)
Definition: class_list.cpp:507
The helper class to specialize base class instances of labels.
Definition: LabelsFactory.h:28
Class that is able to generate various data samples, which may be used for examples in SHOGUN...
Definition: DataGenerator.h:24
static SHOGUN_BASIC_CLASS CSGObject * __new_CGUIMath(EPrimitiveType g)
Definition: class_list.cpp:782
static SHOGUN_BASIC_CLASS CSGObject * __new_CGaussianKernel(EPrimitiveType g)
Definition: class_list.cpp:655
Class CSVFile used to read data from comma-separated values (CSV) files. See http://en.wikipedia.org/wiki/Comma-separated_values.
Definition: CSVFile.h:26
static SHOGUN_BASIC_CLASS CSGObject * __new_CCrossCorrelationMeasure(EPrimitiveType g)
Definition: class_list.cpp:758
static SHOGUN_BASIC_CLASS CSGObject * __new_CSerialComputationEngine(EPrimitiveType g)
Definition: class_list.cpp:812
The HistogramWordString computes the TOP kernel on inhomogeneous Markov Chains.
This class implements the quadratic time Maximum Mean Statistic as described in [1]. The MMD is the distance of two probability distributions and in a RKHS .
static SHOGUN_BASIC_CLASS CSGObject * __new_CPolyMatchWordStringKernel(EPrimitiveType g)
Definition: class_list.cpp:673
This class can be used to convert a document collection contained in a CStringFeatures&lt;char&gt; object w...
class MultitaskTraceLogisticRegression, a classifier for multitask problems. Supports only task group...
NeighborhoodPreservingEmbedding converter used to construct embeddings as described in: ...
static SHOGUN_TEMPLATE_CLASS CSGObject * __new_CSet(EPrimitiveType g)
This class acts as an alternative to the CStreamingDenseFeatures class and their difference is that t...
static SHOGUN_BASIC_CLASS CSGObject * __new_CZeroMean(EPrimitiveType g)
Definition: class_list.cpp:588
static SHOGUN_BASIC_CLASS CSGObject * __new_CGaussianProcessMachine(EPrimitiveType g)
Definition: class_list.cpp:582
static SHOGUN_BASIC_CLASS CSGObject * __new_CGMM(EPrimitiveType g)
Definition: class_list.cpp:738
static SHOGUN_BASIC_CLASS CSGObject * __new_CANOVAKernel(EPrimitiveType g)
Definition: class_list.cpp:661
Class for storing multiclass evaluation information in every fold of cross-validation.
static SHOGUN_BASIC_CLASS CSGObject * __new_CGaussianShiftKernel(EPrimitiveType g)
Definition: class_list.cpp:656
static SHOGUN_BASIC_CLASS CSGObject * __new_CKernelDistance(EPrimitiveType g)
Definition: class_list.cpp:909
static SHOGUN_BASIC_CLASS CSGObject * __new_CF1Measure(EPrimitiveType g)
Definition: class_list.cpp:757
static SHOGUN_BASIC_CLASS CSGObject * __new_CGradientModelSelection(EPrimitiveType g)
Definition: class_list.cpp:774
Class ROCEvalution used to evaluate ROC (Receiver Operating Characteristic) and an area under ROC cur...
Definition: ROCEvaluation.h:30
generic linear multiclass machine
static SHOGUN_BASIC_CLASS CSGObject * __new_CFITCInferenceMethod(EPrimitiveType g)
Definition: class_list.cpp:591
Simple class which specifies the direction of gradient search.
CMajorityVote is a CWeightedMajorityVote combiner, where each Machine&#39;s weight in the ensemble is 1...
Definition: MajorityVote.h:22
static SHOGUN_BASIC_CLASS CSGObject * __new_CJADiagOrth(EPrimitiveType g)
Definition: class_list.cpp:536
Template class StringFeatures implements a list of strings.
Definition: WDSVMOcas.h:23
static SHOGUN_BASIC_CLASS CSGObject * __new_CGUIKernel(EPrimitiveType g)
Definition: class_list.cpp:784
static SHOGUN_BASIC_CLASS CSGObject * __new_CMajorityVote(EPrimitiveType g)
Definition: class_list.cpp:742
Class for reading from a string.
Definition: Parser.h:19
static SHOGUN_BASIC_CLASS CSGObject * __new_CMMDKernelSelectionMax(EPrimitiveType g)
Definition: class_list.cpp:625
Class SGObject is the base class of all shogun objects.
Definition: SGObject.h:114
the class CSet, a set based on the hash-table. w: http://en.wikipedia.org/wiki/Hash_table ...
Definition: Set.h:49
Class MultitaskROCEvalution used to evaluate ROC (Receiver Operating Characteristic) and an area unde...
static SHOGUN_BASIC_CLASS CSGObject * __new_CRelaxedTree(EPrimitiveType g)
Definition: class_list.cpp:554
static SHOGUN_BASIC_CLASS CSGObject * __new_CMultitaskClusteredLogisticRegression(EPrimitiveType g)
Definition: class_list.cpp:505
Features that compute the Weighted Degreee Kernel feature space explicitly.
class MultiClassSVM
Definition: MulticlassSVM.h:26
static SHOGUN_BASIC_CLASS CSGObject * __new_CVwNativeCacheWriter(EPrimitiveType g)
Definition: class_list.cpp:875
static SHOGUN_BASIC_CLASS CSGObject * __new_CECOCStrategy(EPrimitiveType g)
Definition: class_list.cpp:571
static SHOGUN_BASIC_CLASS CSGObject * __new_CScatterKernelNormalizer(EPrimitiveType g)
Definition: class_list.cpp:695
static SHOGUN_BASIC_CLASS CSGObject * __new_CMultitaskKernelTreeNormalizer(EPrimitiveType g)
Definition: class_list.cpp:513
static SHOGUN_BASIC_CLASS CSGObject * __new_CSparseSpatialSampleStringKernel(EPrimitiveType g)
Definition: class_list.cpp:669
static SHOGUN_BASIC_CLASS CSGObject * __new_CTanimotoDistance(EPrimitiveType g)
Definition: class_list.cpp:895
KMeans clustering, partitions the data into k (a-priori specified) clusters.
Definition: KMeans.h:39
static SHOGUN_BASIC_CLASS CSGObject * __new_CStudentsTLikelihood(EPrimitiveType g)
Definition: class_list.cpp:595
Computes the standard linear kernel on dense char valued features.
static SHOGUN_BASIC_CLASS CSGObject * __new_CImplicitWeightedSpecFeatures(EPrimitiveType g)
Definition: class_list.cpp:600
static SHOGUN_BASIC_CLASS CSGObject * __new_CIndexBlock(EPrimitiveType g)
Definition: class_list.cpp:805
static SHOGUN_BASIC_CLASS CSGObject * __new_CVwNonAdaptiveLearner(EPrimitiveType g)
Definition: class_list.cpp:872
static SHOGUN_BASIC_CLASS CSGObject * __new_CGPBTSVM(EPrimitiveType g)
Definition: class_list.cpp:869
An experimental kernel inspired by the WeightedDegreePositionStringKernel and the Gaussian kernel...
static SHOGUN_TEMPLATE_CLASS CSGObject * __new_CBinaryStream(EPrimitiveType g)
static SHOGUN_BASIC_CLASS CSGObject * __new_CPruneVarSubMean(EPrimitiveType g)
Definition: class_list.cpp:801
Class that computes eigenvalues of a real valued, self-adjoint linear operator using Lanczos algorith...
dummy data holder
Definition: Data.h:23
VwNonAdaptiveLearner uses a standard gradient descent weight update rule.
static SHOGUN_BASIC_CLASS CSGObject * __new_CGaussianDistribution(EPrimitiveType g)
Definition: class_list.cpp:824
static SHOGUN_BASIC_CLASS CSGObject * __new_CWRACCMeasure(EPrimitiveType g)
Definition: class_list.cpp:756
Template class that aggregates scalar job results in each submit_result call, finalize then transform...
The CommWordString kernel may be used to compute the spectrum kernel from strings that have been mapp...
static SHOGUN_TEMPLATE_CLASS CSGObject * __new_CCache(EPrimitiveType g)
static SHOGUN_BASIC_CLASS CSGObject * __new_CLinearHMM(EPrimitiveType g)
Definition: class_list.cpp:823
static SHOGUN_BASIC_CLASS CSGObject * __new_CSquaredHingeLoss(EPrimitiveType g)
Definition: class_list.cpp:889
static SHOGUN_BASIC_CLASS CSGObject * __new_CLaRank(EPrimitiveType g)
Definition: class_list.cpp:573
CMeanRule simply averages the outputs of the Machines in the ensemble.
Definition: MeanRule.h:21
Preprocessor PNorm, normalizes vectors to have p-norm.
Definition: PNorm.h:31
static SHOGUN_BASIC_CLASS CSGObject * __new_CClusteringMutualInformation(EPrimitiveType g)
Definition: class_list.cpp:747
class AttenuatedEuclideanDistance
Class Histogram computes a histogram over all 16bit unsigned integers in the features.
Definition: Histogram.h:26
static SHOGUN_BASIC_CLASS CSGObject * __new_CBesselKernel(EPrimitiveType g)
Definition: class_list.cpp:712
Class UWedge.
Definition: UWedge.h:34
class FastICA
Definition: FastICA.h:33
static SHOGUN_BASIC_CLASS CSGObject * __new_CHSIC(EPrimitiveType g)
Definition: class_list.cpp:627
static SHOGUN_BASIC_CLASS CSGObject * __new_CKernelPCA(EPrimitiveType g)
Definition: class_list.cpp:798
This class implements streaming features as strings.
Implementation of maximum MMD kernel selection for combined kernel. This class selects a combination ...
static SHOGUN_BASIC_CLASS CSGObject * __new_CLogRationalApproximationCGM(EPrimitiveType g)
Definition: class_list.cpp:523
static SHOGUN_BASIC_CLASS CSGObject * __new_CTDistributedStochasticNeighborEmbedding(EPrimitiveType g)
Definition: class_list.cpp:485
static SHOGUN_BASIC_CLASS CSGObject * __new_CFirstElementKernelNormalizer(EPrimitiveType g)
Definition: class_list.cpp:703
static SHOGUN_BASIC_CLASS CSGObject * __new_CErrorRateMeasure(EPrimitiveType g)
Definition: class_list.cpp:754
LatentSVM class Latent SVM implementation based on [1]. For optimization this implementation uses SVM...
Definition: LatentSVM.h:32
class JensenMetric
Definition: JensenMetric.h:34
static SHOGUN_BASIC_CLASS CSGObject * __new_CAvgDiagKernelNormalizer(EPrimitiveType g)
Definition: class_list.cpp:701
The class PolyMatchStringKernel computes a variant of the polynomial kernel on strings of same length...
This class is identical to the CDenseFeatures class except that it hashes each dimension to a new fea...
static SHOGUN_BASIC_CLASS CSGObject * __new_CMKLMulticlass(EPrimitiveType g)
Definition: class_list.cpp:881
Class CFactorGraphObservation is used as the structured output.
Class for Least Angle Regression, can be used to solve LASSO.
static SHOGUN_BASIC_CLASS CSGObject * __new_CECOCAEDDecoder(EPrimitiveType g)
Definition: class_list.cpp:570
static SHOGUN_BASIC_CLASS CSGObject * __new_CDimensionReductionPreprocessor(EPrimitiveType g)
Definition: class_list.cpp:792
static SHOGUN_BASIC_CLASS CSGObject * __new_CCrossValidationResult(EPrimitiveType g)
Definition: class_list.cpp:749
#define STRING_LEN
Definition: common.h:53
static SHOGUN_BASIC_CLASS CSGObject * __new_CSOSVMHelper(EPrimitiveType g)
Definition: class_list.cpp:828
static class_list_entry_t class_list[]
static SHOGUN_BASIC_CLASS CSGObject * __new_CModelSelectionParameters(EPrimitiveType g)
Definition: class_list.cpp:773
static SHOGUN_BASIC_CLASS CSGObject * __new_CDomainAdaptationMulticlassLibLinear(EPrimitiveType g)
Definition: class_list.cpp:495
Implementation of independent jobs that solves one whole family of shifted systems in rational approx...
static SHOGUN_BASIC_CLASS CSGObject * __new_CStreamingVwFeatures(EPrimitiveType g)
Definition: class_list.cpp:608
CFactorGraphFeatures maintains an array of factor graphs, each graph is a sample, i...
static SHOGUN_BASIC_CLASS CSGObject * __new_CLaplacianInferenceMethod(EPrimitiveType g)
Definition: class_list.cpp:587
static SHOGUN_BASIC_CLASS CSGObject * __new_CManhattanMetric(EPrimitiveType g)
Definition: class_list.cpp:908
class to implement LibLinear
Definition: LibLinear.h:45
Regressor used by VW.
Definition: VwRegressor.h:35
multiclass LibLinear wrapper. Uses Crammer-Singer formulation and gradient descent optimization algor...
Class CFactorDataSource Source for factor data. In some cases, the same data can be shared by many fa...
Definition: Factor.h:25
static SHOGUN_BASIC_CLASS CSGObject * __new_CMultitaskLeastSquaresRegression(EPrimitiveType g)
Definition: class_list.cpp:499
class CSOSVMHelper contains helper functions to compute primal objectives, dual objectives, average training losses, duality gaps etc. These values will be recorded to check convergence. This class is inspired by the matlab implementation of the block coordinate Frank-Wolfe SOSVM solver [1].
Definition: SOSVMHelper.h:29
static SHOGUN_BASIC_CLASS CSGObject * __new_CDummyFeatures(EPrimitiveType g)
Definition: class_list.cpp:605
static SHOGUN_BASIC_CLASS CSGObject * __new_CLinearRidgeRegression(EPrimitiveType g)
Definition: class_list.cpp:720
static SHOGUN_BASIC_CLASS CSGObject * __new_CCSVFile(EPrimitiveType g)
Definition: class_list.cpp:728
static SHOGUN_BASIC_CLASS CSGObject * __new_CDistanceMachine(EPrimitiveType g)
Definition: class_list.cpp:585
static SHOGUN_BASIC_CLASS CSGObject * __new_CSequence(EPrimitiveType g)
Definition: class_list.cpp:834
static SHOGUN_BASIC_CLASS CSGObject * __new_CLogLoss(EPrimitiveType g)
Definition: class_list.cpp:888
class IndexBlock used to represent contiguous indices of one group (e.g. block of related features) ...
Definition: IndexBlock.h:22
static SHOGUN_BASIC_CLASS CSGObject * __new_CRandomFourierDotFeatures(EPrimitiveType g)
Definition: class_list.cpp:601
static SHOGUN_BASIC_CLASS CSGObject * __new_CJade(EPrimitiveType g)
Definition: class_list.cpp:477
static SHOGUN_BASIC_CLASS CSGObject * __new_CDiceKernelNormalizer(EPrimitiveType g)
Definition: class_list.cpp:700
static SHOGUN_TEMPLATE_CLASS CSGObject * __new_CStreamingSparseFeatures(EPrimitiveType g)
Pyramid Kernel over Chi2 matched histograms.
Definition: PyramidChi2.h:28
class SVMSGD
Definition: SVMSGD.h:34
static SHOGUN_BASIC_CLASS CSGObject * __new_CLaplacianEigenmaps(EPrimitiveType g)
Definition: class_list.cpp:492
Multiple Kernel Learning for two-class-classification.
Class MeanAbsoluteError used to compute an error of regression model.
static SHOGUN_BASIC_CLASS CSGObject * __new_CECOCIHDDecoder(EPrimitiveType g)
Definition: class_list.cpp:562
static SHOGUN_BASIC_CLASS CSGObject * __new_CMulticlassLibSVM(EPrimitiveType g)
Definition: class_list.cpp:549
static SHOGUN_BASIC_CLASS CSGObject * __new_CDelimiterTokenizer(EPrimitiveType g)
Definition: class_list.cpp:814
static SHOGUN_BASIC_CLASS CSGObject * __new_CQPBSVMLib(EPrimitiveType g)
Definition: class_list.cpp:862
class LocallyLinearEmbedding used to embed data using Locally Linear Embedding algorithm described in...
static SHOGUN_BASIC_CLASS CSGObject * __new_COligoStringKernel(EPrimitiveType g)
Definition: class_list.cpp:676
UI math.
Definition: GUIMath.h:22
static SHOGUN_BASIC_CLASS CSGObject * __new_CFixedDegreeStringKernel(EPrimitiveType g)
Definition: class_list.cpp:664
static SHOGUN_BASIC_CLASS CSGObject * __new_CSpectrumMismatchRBFKernel(EPrimitiveType g)
Definition: class_list.cpp:684
static SHOGUN_BASIC_CLASS CSGObject * __new_CDynProg(EPrimitiveType g)
Definition: class_list.cpp:842
Class that computes eigenvalues of a real valued, self-adjoint dense matrix linear operator using Eig...
static SHOGUN_BASIC_CLASS CSGObject * __new_CWeightedDegreeRBFKernel(EPrimitiveType g)
Definition: class_list.cpp:709
static SHOGUN_BASIC_CLASS CSGObject * __new_CLinearMachine(EPrimitiveType g)
Definition: class_list.cpp:580
static SHOGUN_BASIC_CLASS CSGObject * __new_CGaussianShortRealKernel(EPrimitiveType g)
Definition: class_list.cpp:690
static SHOGUN_BASIC_CLASS CSGObject * __new_CSplineKernel(EPrimitiveType g)
Definition: class_list.cpp:692
Class CStreamingFileFromStringFeatures is derived from CStreamingFile and provides an input source fo...
static SHOGUN_BASIC_CLASS CSGObject * __new_CFactorDataSource(EPrimitiveType g)
Definition: class_list.cpp:840
Class that represents a dense-matrix linear operator. It computes matrix-vector product in its apply...
static SHOGUN_BASIC_CLASS CSGObject * __new_CCircularKernel(EPrimitiveType g)
Definition: class_list.cpp:694
static SHOGUN_BASIC_CLASS CSGObject * __new_CKernelRidgeRegression(EPrimitiveType g)
Definition: class_list.cpp:715
The Regulaty Modules kernel, based on the WD kernel, as published in Schultheiss et al...
The Weighted Degree String kernel.
CFactorGraphModel defines a model in terms of CFactorGraph and CMAPInference, where parameters are as...
static SHOGUN_BASIC_CLASS CSGObject * __new_CEuclideanDistance(EPrimitiveType g)
Definition: class_list.cpp:901
static SHOGUN_BASIC_CLASS CSGObject * __new_CRidgeKernelNormalizer(EPrimitiveType g)
Definition: class_list.cpp:697
static SHOGUN_BASIC_CLASS CSGObject * __new_CWeightedCommWordStringKernel(EPrimitiveType g)
Definition: class_list.cpp:666
Sparse Spatial Sample String Kernel by Pavel Kuksa pkuksa@cs.rutgers.edu and Vladimir Pavlovic vladim...
The MultitaskKernel allows Multitask Learning via a modified kernel function.
Class JADiag.
Definition: JADiag.h:35
static SHOGUN_BASIC_CLASS CSGObject * __new_CWDFeatures(EPrimitiveType g)
Definition: class_list.cpp:622
The well known Gaussian kernel (swiss army knife for SVMs) on dense short-real valued features...
static SHOGUN_BASIC_CLASS CSGObject * __new_CECOCLLBDecoder(EPrimitiveType g)
Definition: class_list.cpp:563
The Combined kernel is used to combine a number of kernels into a single CombinedKernel object by lin...
UI structure.
Definition: GUIStructure.h:28
static SHOGUN_BASIC_CLASS CSGObject * __new_CECOCRandomSparseEncoder(EPrimitiveType g)
Definition: class_list.cpp:567
the scatter kernel normalizer
Dynamic array class for CSGObject pointers that creates an array that can be used like a list or an a...
Class KNN, an implementation of the standard k-nearest neigbor classifier.
Definition: KNN.h:55
memory mapped emulation via binary streams (files)
Definition: BinaryStream.h:27
CSGObject * new_sgserializable(const char *sgserializable_name, EPrimitiveType generic)
static SHOGUN_BASIC_CLASS CSGObject * __new_CHashedDocConverter(EPrimitiveType g)
Definition: class_list.cpp:486
Normalize the kernel by a constant obtained from the first element of the kernel matrix, i.e. .
Class LinearMachine is a generic interface for all kinds of linear machines like classifiers.
Definition: LinearMachine.h:61
Class CustomMahalanobisDistance used to compute the distance between feature vectors and as ...
Identity Kernel Normalization, i.e. no normalization is applied.
static SHOGUN_BASIC_CLASS CSGObject * __new_CCauchyKernel(EPrimitiveType g)
Definition: class_list.cpp:647
Class CDisjointSet data structure for linking graph nodes It&#39;s easy to identify connected graph...
Definition: DisjointSet.h:24
The class MatchWordStringKernel computes a variant of the polynomial kernel on strings of same length...
static SHOGUN_BASIC_CLASS CSGObject * __new_CMulticlassTreeGuidedLogisticRegression(EPrimitiveType g)
Definition: class_list.cpp:546
static SHOGUN_BASIC_CLASS CSGObject * __new_CGNPPSVM(EPrimitiveType g)
Definition: class_list.cpp:865
static SHOGUN_BASIC_CLASS CSGObject * __new_CDomainAdaptationSVMLinear(EPrimitiveType g)
Definition: class_list.cpp:494
Normalize the kernel by adding a constant term to its diagonal. This aids kernels to become positive ...
static SHOGUN_BASIC_CLASS CSGObject * __new_CGridSearchModelSelection(EPrimitiveType g)
Definition: class_list.cpp:776
class MultitaskL12LogisticRegression, a classifier for multitask problems. Supports only task group r...
static SHOGUN_BASIC_CLASS CSGObject * __new_CHashedDocDotFeatures(EPrimitiveType g)
Definition: class_list.cpp:621
static SHOGUN_BASIC_CLASS CSGObject * __new_CNewtonSVM(EPrimitiveType g)
Definition: class_list.cpp:866
Class NearestCentroid, an implementation of Nearest Shrunk Centroid classifier.
class BALMeasure used to measure balanced error of 2-class classifier.
static SHOGUN_BASIC_CLASS CSGObject * __new_CIndividualJobResultAggregator(EPrimitiveType g)
Definition: class_list.cpp:524
A Binary file access class.
Definition: BinaryFile.h:28
static SHOGUN_BASIC_CLASS CSGObject * __new_CIOBuffer(EPrimitiveType g)
Definition: class_list.cpp:733
SimpleLocalityImprovedString kernel, is a ``simplified&#39;&#39; and better performing version of the Localit...
class GPBTSVM
Definition: GPBTSVM.h:22
static SHOGUN_BASIC_CLASS CSGObject * __new_CSalzbergWordStringKernel(EPrimitiveType g)
Definition: class_list.cpp:665
static SHOGUN_BASIC_CLASS CSGObject * __new_CMeanSquaredLogError(EPrimitiveType g)
Definition: class_list.cpp:772
static SHOGUN_BASIC_CLASS CSGObject * __new_CLibSVMFile(EPrimitiveType g)
Definition: class_list.cpp:729
static SHOGUN_BASIC_CLASS CSGObject * __new_CStratifiedCrossValidationSplitting(EPrimitiveType g)
Definition: class_list.cpp:743
static SHOGUN_BASIC_CLASS CSGObject * __new_CMeanRule(EPrimitiveType g)
Definition: class_list.cpp:741
static SHOGUN_BASIC_CLASS CSGObject * __new_CSparseInverseCovariance(EPrimitiveType g)
Definition: class_list.cpp:514
static SHOGUN_BASIC_CLASS CSGObject * __new_CSparseEuclideanDistance(EPrimitiveType g)
Definition: class_list.cpp:896
static SHOGUN_BASIC_CLASS CSGObject * __new_CProductKernel(EPrimitiveType g)
Definition: class_list.cpp:653
class SpecificityMeasure used to measure specificity of 2-class classifier.
The MultitaskKernel allows learning a piece-wise linear function (PLIF) via MKL.
class WRACCMeasure used to measure weighted relative accuracy of 2-class classifier.
static SHOGUN_BASIC_CLASS CSGObject * __new_CPolyMatchStringKernel(EPrimitiveType g)
Definition: class_list.cpp:670
static SHOGUN_BASIC_CLASS CSGObject * __new_CVwEnvironment(EPrimitiveType g)
Definition: class_list.cpp:877
ZeroMeanCenterKernelNormalizer centers the kernel in feature space.
Class that holds ONE combination of parameters for a learning machine. The structure is organized as ...
Features that compute the Spectrum Kernel feature space explicitly.
static SHOGUN_BASIC_CLASS CSGObject * __new_CGUIPluginEstimate(EPrimitiveType g)
Definition: class_list.cpp:779
static SHOGUN_BASIC_CLASS CSGObject * __new_CStructuredOutputMachine(EPrimitiveType g)
Definition: class_list.cpp:575
Class StreamingVwCacheFile to read vector-by-vector from VW cache files.
The well known Gaussian kernel (swiss army knife for SVMs) computed on CDotFeatures.
Class CStochasticSOSVM solves SOSVM using stochastic subgradient descent on the SVM primal problem [1...
static SHOGUN_TEMPLATE_CLASS CSGObject * __new_CMemoryMappedFile(EPrimitiveType g)
This class implements streaming features for use with VW.
static SHOGUN_BASIC_CLASS CSGObject * __new_CSphericalKernel(EPrimitiveType g)
Definition: class_list.cpp:662
static SHOGUN_BASIC_CLASS CSGObject * __new_CVwAdaptiveLearner(EPrimitiveType g)
Definition: class_list.cpp:871
The Distance kernel takes a distance as input.
class HessianLocallyLinearEmbedding used to preprocess data using Hessian Locally Linear Embedding al...
Preprocessor RescaleFeautres is rescaling the range of features to make the features independent of e...
static SHOGUN_BASIC_CLASS CSGObject * __new_CCanberraWordDistance(EPrimitiveType g)
Definition: class_list.cpp:897
The Laplace approximation inference method class.
The class TOPFeatures implements TOP kernel features obtained from two Hidden Markov models...
Definition: TOPFeatures.h:68
static SHOGUN_BASIC_CLASS CSGObject * __new_CECOCOVOEncoder(EPrimitiveType g)
Definition: class_list.cpp:560
static SHOGUN_BASIC_CLASS CSGObject * __new_CROCEvaluation(EPrimitiveType g)
Definition: class_list.cpp:765
class RecallMeasure used to measure recall of 2-class classifier.
Class CMAPInference performs MAP inference on a factor graph. Briefly, given a factor graph model...
Definition: MAPInference.h:46
static SHOGUN_BASIC_CLASS CSGObject * __new_CTaxonomy(EPrimitiveType g)
Definition: class_list.cpp:512
static SHOGUN_BASIC_CLASS CSGObject * __new_CIdentityKernelNormalizer(EPrimitiveType g)
Definition: class_list.cpp:704
static SHOGUN_BASIC_CLASS CSGObject * __new_CQuadraticTimeMMD(EPrimitiveType g)
Definition: class_list.cpp:630
static SHOGUN_BASIC_CLASS CSGObject * __new_CGradientResult(EPrimitiveType g)
Definition: class_list.cpp:764
static SHOGUN_BASIC_CLASS CSGObject * __new_CConjugateGradientSolver(EPrimitiveType g)
Definition: class_list.cpp:516
Implementation of stratified cross-validation on the base of CSplittingStrategy. Produces subset inde...
static SHOGUN_BASIC_CLASS CSGObject * __new_CPRCEvaluation(EPrimitiveType g)
Definition: class_list.cpp:768
This class implements the Hilbert Schmidtd Independence Criterion based independence test as describe...
Definition: HSIC.h:67
static SHOGUN_BASIC_CLASS CSGObject * __new_CKernelStructuredOutputMachine(EPrimitiveType g)
Definition: class_list.cpp:583
static SHOGUN_BASIC_CLASS CSGObject * __new_CCustomMahalanobisDistance(EPrimitiveType g)
Definition: class_list.cpp:910
class MultitaskLinearMachine, a base class for linear multitask classifiers
static SHOGUN_BASIC_CLASS CSGObject * __new_CAveragedPerceptron(EPrimitiveType g)
Definition: class_list.cpp:883
Class MeanSquaredError used to compute an error of regression model.
static SHOGUN_TEMPLATE_CLASS CSGObject * __new_CParseBuffer(EPrimitiveType g)
static SHOGUN_BASIC_CLASS CSGObject * __new_CStatistics(EPrimitiveType g)
Definition: class_list.cpp:529
Class that models a Student&#39;s-t likelihood.
: Pseudo random number geneartor
Definition: Random.h:32
static SHOGUN_BASIC_CLASS CSGObject * __new_CFFSep(EPrimitiveType g)
Definition: class_list.cpp:475
static SHOGUN_BASIC_CLASS CSGObject * __new_CGNPPLib(EPrimitiveType g)
Definition: class_list.cpp:867
Class LibSVR, performs support vector regression using LibSVM.
Definition: LibSVR.h:70
static SHOGUN_BASIC_CLASS CSGObject * __new_CMeanShiftDataGenerator(EPrimitiveType g)
Definition: class_list.cpp:610
static SHOGUN_BASIC_CLASS CSGObject * __new_CMeanSquaredError(EPrimitiveType g)
Definition: class_list.cpp:767
static SHOGUN_BASIC_CLASS CSGObject * __new_CSortWordString(EPrimitiveType g)
Definition: class_list.cpp:793
UI converter.
Definition: GUIConverter.h:24
Class StreamingVwFile to read vector-by-vector from Vowpal Wabbit data files. It reads the example an...
static SHOGUN_BASIC_CLASS CSGObject * __new_CDistanceKernel(EPrimitiveType g)
Definition: class_list.cpp:663
class Bray-Curtis distance
The class DenseFeatures implements dense feature matrices.
Definition: LDA.h:24
static SHOGUN_BASIC_CLASS CSGObject * __new_CFactorGraphModel(EPrimitiveType g)
Definition: class_list.cpp:844
static SHOGUN_BASIC_CLASS CSGObject * __new_CRandomConditionalProbabilityTree(EPrimitiveType g)
Definition: class_list.cpp:553
static SHOGUN_BASIC_CLASS CSGObject * __new_CIntronList(EPrimitiveType g)
Definition: class_list.cpp:849
class LaplacianEigenmaps used to construct embeddings of data using Laplacian Eigenmaps algorithm as ...
static SHOGUN_BASIC_CLASS CSGObject * __new_CGaussianBlobsDataGenerator(EPrimitiveType g)
Definition: class_list.cpp:609
static SHOGUN_BASIC_CLASS CSGObject * __new_CHessianLocallyLinearEmbedding(EPrimitiveType g)
Definition: class_list.cpp:483
static SHOGUN_BASIC_CLASS CSGObject * __new_CMKLRegression(EPrimitiveType g)
Definition: class_list.cpp:717
static SHOGUN_BASIC_CLASS CSGObject * __new_CLBPPyrDotFeatures(EPrimitiveType g)
Definition: class_list.cpp:606
static SHOGUN_BASIC_CLASS CSGObject * __new_CLogitLikelihood(EPrimitiveType g)
Definition: class_list.cpp:590
The class DummyFeatures implements features that only know the number of feature objects (but don&#39;t a...
Definition: DummyFeatures.h:23
Features that compute the Weighted Degreee Kernel feature space explicitly.
Definition: SNPFeatures.h:27
Class Perceptron implements the standard linear (online) perceptron.
Definition: Perceptron.h:30
static SHOGUN_BASIC_CLASS CSGObject * __new_CKernelLocallyLinearEmbedding(EPrimitiveType g)
Definition: class_list.cpp:490
ScatterSVM - Multiclass SVM.
Definition: ScatterSVM.h:50
File based string features.
CSquaredLoss implements the squared loss function.
Definition: SquaredLoss.h:27
class ErrorRateMeasure used to measure error rate of 2-class classifier.
Class GaussianNaiveBayes, a Gaussian Naive Bayes classifier.
SqrtDiagKernelNormalizer divides by the Square Root of the product of the diagonal elements...
static SHOGUN_BASIC_CLASS CSGObject * __new_CTime(EPrimitiveType g)
Definition: class_list.cpp:817
static SHOGUN_BASIC_CLASS CSGObject * __new_CJobResult(EPrimitiveType g)
Definition: class_list.cpp:811
static SHOGUN_BASIC_CLASS CSGObject * __new_CPolyFeatures(EPrimitiveType g)
Definition: class_list.cpp:604
Preprocessor NormOne, normalizes vectors to have norm 1.
Definition: NormOne.h:33
static SHOGUN_BASIC_CLASS CSGObject * __new_CFactorGraphFeatures(EPrimitiveType g)
Definition: class_list.cpp:618
static SHOGUN_BASIC_CLASS CSGObject * __new_CGUIHMM(EPrimitiveType g)
Definition: class_list.cpp:778
static SHOGUN_BASIC_CLASS CSGObject * __new_CHierarchical(EPrimitiveType g)
Definition: class_list.cpp:737
static SHOGUN_BASIC_CLASS CSGObject * __new_CGUITime(EPrimitiveType g)
Definition: class_list.cpp:787
Model selection class which searches for the best model by a random search. See CModelSelection for d...
static SHOGUN_BASIC_CLASS CSGObject * __new_CShareBoost(EPrimitiveType g)
Definition: class_list.cpp:558
Class implementing a purely online version of LibLinear, using the L2R_L1LOSS_SVC_DUAL solver only...
static SHOGUN_BASIC_CLASS CSGObject * __new_CStreamingFileFromFeatures(EPrimitiveType g)
Definition: class_list.cpp:727
Dense version of the well-known Gaussian probability distribution, defined as .
Base class that stores the result of an independent job when the result is a vector.
Definition: VectorResult.h:23
Preprocessor KernelPCA performs kernel principal component analysis.
Definition: KernelPCA.h:35
static SHOGUN_BASIC_CLASS CSGObject * __new_CLinearARDKernel(EPrimitiveType g)
Definition: class_list.cpp:691
static SHOGUN_BASIC_CLASS CSGObject * __new_CVwRegressor(EPrimitiveType g)
Definition: class_list.cpp:878
static SHOGUN_BASIC_CLASS CSGObject * __new_CTStudentKernel(EPrimitiveType g)
Definition: class_list.cpp:657
class Isomap used to embed data using Isomap algorithm as described in
Definition: Isomap.h:44
static SHOGUN_BASIC_CLASS CSGObject * __new_CIsomap(EPrimitiveType g)
Definition: class_list.cpp:488
Class of the Expectation Propagation (EP) posterior approximation inference method.
The class CDelimiterTokenizer is used to tokenize a SGVector&lt;char&gt; into tokens using custom chars as de...
read sparse real valued features in svm light format e.g. -1 1:10.0 2:100.2 1000:1.3 with -1 == (optional) label and dim 1 - value 10.0 dim 2 - value 100.2 dim 1000 - value 1.3
Definition: LibSVMFile.h:30
multiclass OCAS wrapper
static SHOGUN_BASIC_CLASS CSGObject * __new_CSGDQN(EPrimitiveType g)
Definition: class_list.cpp:854
static SHOGUN_BASIC_CLASS CSGObject * __new_CPlif(EPrimitiveType g)
Definition: class_list.cpp:838
static SHOGUN_BASIC_CLASS CSGObject * __new_CHistogramWordStringKernel(EPrimitiveType g)
Definition: class_list.cpp:682
Power kernel.
Definition: PowerKernel.h:35
class SGDQN
Definition: SGDQN.h:34
static SHOGUN_BASIC_CLASS CSGObject * __new_CTOPFeatures(EPrimitiveType g)
Definition: class_list.cpp:623
Container class that returns results from GradientEvaluation. It contains the function value as well ...
Class CFactorGraph a factor graph is a structured input in general.
Definition: FactorGraph.h:25
static SHOGUN_BASIC_CLASS CSGObject * __new_CTableFactorType(EPrimitiveType g)
Definition: class_list.cpp:831
Class that represents a sparse-matrix linear operator. It computes matrix-vector product in its appl...
Class for outputting cross-validation intermediate results to the standard output. Simply prints all messages it gets.
static SHOGUN_BASIC_CLASS CSGObject * __new_CSpectrumRBFKernel(EPrimitiveType g)
Definition: class_list.cpp:667
Normalize the kernel by either a constant or the average value of the diagonal elements (depending on...
static SHOGUN_BASIC_CLASS CSGObject * __new_CThresholdRejectionStrategy(EPrimitiveType g)
Definition: class_list.cpp:540
static SHOGUN_BASIC_CLASS CSGObject * __new_CHMM(EPrimitiveType g)
Definition: class_list.cpp:822
static SHOGUN_BASIC_CLASS CSGObject * __new_CMMDKernelSelectionOpt(EPrimitiveType g)
Definition: class_list.cpp:628
static SHOGUN_BASIC_CLASS CSGObject * __new_CLabelsFactory(EPrimitiveType g)
Definition: class_list.cpp:640
Class GMNPSVM implements a one vs. rest MultiClass SVM.
Definition: GMNPSVM.h:24
Preprocessor HomogeneousKernelMap performs homogeneous kernel maps as described in.
static SHOGUN_BASIC_CLASS CSGObject * __new_CVarianceKernelNormalizer(EPrimitiveType g)
Definition: class_list.cpp:696
Class that provides a sample method for Gaussian samples.
Definition: NormalSampler.h:22
static SHOGUN_BASIC_CLASS CSGObject * __new_CData(EPrimitiveType g)
Definition: class_list.cpp:816
Class ListElement, defines how an element of the the list looks like.
Definition: List.h:23
Class PRCEvaluation used to evaluate PRC (Precision Recall Curve) and an area under PRC curve (auPRC)...
Definition: PRCEvaluation.h:25
static SHOGUN_BASIC_CLASS CSGObject * __new_CHistogram(EPrimitiveType g)
Definition: class_list.cpp:827
#define PT_NOT_GENERIC
Definition: DataType.h:20
Class CMatrixFeatures used to represent data whose feature vectors are better represented with matric...
static SHOGUN_BASIC_CLASS CSGObject * __new_CHashedWDFeaturesTransposed(EPrimitiveType g)
Definition: class_list.cpp:612
static SHOGUN_BASIC_CLASS CSGObject * __new_CSVM(EPrimitiveType g)
Definition: class_list.cpp:863
class OnlineSVMSGD
Definition: OnlineSVMSGD.h:33
static SHOGUN_BASIC_CLASS CSGObject * __new_CGaussianLikelihood(EPrimitiveType g)
Definition: class_list.cpp:593
Class CSquaredHingeLoss implements a squared hinge loss function.
Class Jedi.
Definition: JediDiag.h:34
static SHOGUN_BASIC_CLASS CSGObject * __new_CMultitaskKernelMaskPairNormalizer(EPrimitiveType g)
Definition: class_list.cpp:508
static SHOGUN_BASIC_CLASS CSGObject * __new_CCombinedFeatures(EPrimitiveType g)
Definition: class_list.cpp:624
The Fully Independent Conditional Training inference method class.
static SHOGUN_BASIC_CLASS CSGObject * __new_CPNorm(EPrimitiveType g)
Definition: class_list.cpp:796
static SHOGUN_BASIC_CLASS CSGObject * __new_CCrossValidationMulticlassStorage(EPrimitiveType g)
Definition: class_list.cpp:744
static SHOGUN_BASIC_CLASS CSGObject * __new_CStreamingVwCacheFile(EPrimitiveType g)
Definition: class_list.cpp:724
class CStructuredAccuracy used to compute accuracy of structured classification
static SHOGUN_BASIC_CLASS CSGObject * __new_CJensenMetric(EPrimitiveType g)
Definition: class_list.cpp:912
static SHOGUN_BASIC_CLASS CSGObject * __new_CSigmoidKernel(EPrimitiveType g)
Definition: class_list.cpp:648
The class RealFileFeatures implements a dense double-precision floating point matrix from a file...
static SHOGUN_BASIC_CLASS CSGObject * __new_CFeatureBlockLogisticRegression(EPrimitiveType g)
Definition: class_list.cpp:886
Class CLogLossMargin implements a margin-based log-likelihood loss function.
Definition: LogLossMargin.h:22
class TaskTree used to represent a tree of tasks. Tree is constructed via task with subtasks (and sub...
Definition: TaskTree.h:25
class MahalanobisDistance
static SHOGUN_BASIC_CLASS CSGObject * __new_CMinkowskiMetric(EPrimitiveType g)
Definition: class_list.cpp:894
Class evaluates a machine using its associated differentiable function for the function value and its...
This class implements the random fourier features for the DotFeatures framework. Basically upon the o...
Wave kernel.
Definition: WaveKernel.h:35
class PluginEstimate
Class CTableFactorType the way that store assignments of variables and energies in a table or a multi...
Definition: FactorType.h:120
static SHOGUN_BASIC_CLASS CSGObject * __new_CListElement(EPrimitiveType g)
Definition: class_list.cpp:808
Preprocessor PCACut performs principial component analysis on the input vectors and keeps only the n ...
Definition: PCA.h:48
Kernel selection class that selects the single kernel that maximises the MMD statistic. Works for CQuadraticTimeMMD and CLinearTimeMMD. This leads to a heuristic that is better than the standard median heuristic for Gaussian kernels. However, it comes with no guarantees.
static SHOGUN_BASIC_CLASS CSGObject * __new_CLocallyLinearEmbedding(EPrimitiveType g)
Definition: class_list.cpp:493
static SHOGUN_BASIC_CLASS CSGObject * __new_CRationalApproximationIndividualJob(EPrimitiveType g)
Definition: class_list.cpp:525
Class Signal implements signal handling to e.g. allow ctrl+c to cancel a long running process...
Definition: Signal.h:47
static SHOGUN_TEMPLATE_CLASS CSGObject * __new_CStreamingFileFromSparseFeatures(EPrimitiveType g)
static SHOGUN_BASIC_CLASS CSGObject * __new_CMultitaskTraceLogisticRegression(EPrimitiveType g)
Definition: class_list.cpp:509
static SHOGUN_TEMPLATE_CLASS CSGObject * __new_CStringFileFeatures(EPrimitiveType g)
static SHOGUN_BASIC_CLASS CSGObject * __new_CSpecificityMeasure(EPrimitiveType g)
Definition: class_list.cpp:761
static SHOGUN_BASIC_CLASS CSGObject * __new_CBalancedConditionalProbabilityTree(EPrimitiveType g)
Definition: class_list.cpp:552
Dynamic Programming Class.
Definition: DynProg.h:76
This class implements the linear time Maximum Mean Statistic as described in [1]. This statistic is i...
Definition: LinearTimeMMD.h:75
Features that allow stacking of a number of DotFeatures.
static SHOGUN_BASIC_CLASS CSGObject * __new_CFactor(EPrimitiveType g)
Definition: class_list.cpp:841
static SHOGUN_TEMPLATE_CLASS CSGObject * __new_CVectorResult(EPrimitiveType g)
Class CVowpalWabbit is the implementation of the online learning algorithm used in Vowpal Wabbit...
Definition: VowpalWabbit.h:38
static SHOGUN_BASIC_CLASS CSGObject * __new_CNormOne(EPrimitiveType g)
Definition: class_list.cpp:797
static SHOGUN_BASIC_CLASS CSGObject * __new_CLibSVM(EPrimitiveType g)
Definition: class_list.cpp:864
A generic Support Vector Machine Interface.
Definition: SVM.h:47
static SHOGUN_BASIC_CLASS CSGObject * __new_CLanczosEigenSolver(EPrimitiveType g)
Definition: class_list.cpp:519
UI features.
Definition: GUIFeatures.h:36
static SHOGUN_BASIC_CLASS CSGObject * __new_CKernelMulticlassMachine(EPrimitiveType g)
Definition: class_list.cpp:574
Class which collects generic mathematical functions.
Definition: Math.h:140
static SHOGUN_BASIC_CLASS CSGObject * __new_CMAPInference(EPrimitiveType g)
Definition: class_list.cpp:851
Features that compute the Weighted Degreee Kernel feature space explicitly.
the LaRank multiclass SVM machine
Definition: LaRank.h:307
static SHOGUN_TEMPLATE_CLASS CSGObject * __new_CStreamingDenseFeatures(EPrimitiveType g)
class GeodesicMetric
Implements MMD kernel selection for a number of Gaussian baseline kernels via selecting the one with ...
static SHOGUN_BASIC_CLASS CSGObject * __new_CNode(EPrimitiveType g)
Definition: class_list.cpp:511
static SHOGUN_BASIC_CLASS CSGObject * __new_CStreamingVwFile(EPrimitiveType g)
Definition: class_list.cpp:725
static SHOGUN_BASIC_CLASS CSGObject * __new_CPrecisionMeasure(EPrimitiveType g)
Definition: class_list.cpp:760
Template class Cache implements a simple cache.
Definition: Cache.h:31
the class WaveletKernel
Definition: WaveletKernel.h:35
Binary Labels for binary classification.
Definition: BinaryLabels.h:36
Preprocessor CRandomFourierGaussPreproc implements Random Fourier Features for the Gauss kernel a la ...
Cauchy kernel.
Definition: CauchyKernel.h:35
The HistogramIntersection kernel operating on realvalued vectors computes the histogram intersection ...
class SVMOcas
Definition: SVMOcas.h:32
Implementation of normal cross-validation on the base of CSplittingStrategy. Produces subset index se...
Preprocessor that decompresses compressed strings.
CHingeLoss implements the hinge loss function.
Definition: HingeLoss.h:27
static SHOGUN_BASIC_CLASS CSGObject * __new_CHMSVMModel(EPrimitiveType g)
Definition: class_list.cpp:832
static SHOGUN_BASIC_CLASS CSGObject * __new_CPerceptron(EPrimitiveType g)
Definition: class_list.cpp:884
static SHOGUN_BASIC_CLASS CSGObject * __new_CMKLClassification(EPrimitiveType g)
Definition: class_list.cpp:882
domain adaptation multiclass LibLinear wrapper Source domain is assumed to b
class QPBSVMLib
Definition: QPBSVMLib.h:45
static SHOGUN_BASIC_CLASS CSGObject * __new_CSumOne(EPrimitiveType g)
Definition: class_list.cpp:794
static SHOGUN_BASIC_CLASS CSGObject * __new_CList(EPrimitiveType g)
Definition: class_list.cpp:809
: Bagging algorithm i.e. bootstrap aggregating
static SHOGUN_BASIC_CLASS CSGObject * __new_CLinearLocalTangentSpaceAlignment(EPrimitiveType g)
Definition: class_list.cpp:480
NewtonSVM, In this Implementation linear SVM is trained in its primal form using Newton-like iteratio...
Definition: NewtonSVM.h:27
static SHOGUN_BASIC_CLASS CSGObject * __new_CSubsetStack(EPrimitiveType g)
Definition: class_list.cpp:598
static SHOGUN_BASIC_CLASS CSGObject * __new_CECOCDiscriminantEncoder(EPrimitiveType g)
Definition: class_list.cpp:564
class GNPPSVM
Definition: GNPPSVM.h:20
static SHOGUN_TEMPLATE_CLASS CSGObject * __new_CHashedSparseFeatures(EPrimitiveType g)
implement DotFeatures for the polynomial kernel
Definition: PolyFeatures.h:25
clustering (normalized) mutual information
The Custom Distance allows for custom user provided distance matrices.
static SHOGUN_BASIC_CLASS CSGObject * __new_CGaussianProcessRegression(EPrimitiveType g)
Definition: class_list.cpp:719
used to estimate inverse covariance matrix using graphical lasso
static SHOGUN_BASIC_CLASS CSGObject * __new_CMulticlassModel(EPrimitiveType g)
Definition: class_list.cpp:847
Class that provides a solve method for real sparse-matrix linear systems using LLT.
class TreeMachine, a base class for tree based multiclass classifiers
Definition: TreeMachine.h:23
static SHOGUN_BASIC_CLASS CSGObject * __new_CMatchWordStringKernel(EPrimitiveType g)
Definition: class_list.cpp:677
multiclass one vs rest strategy used to train generic multiclass machines for K-class problems with b...
The Weighted Degree Position String kernel (Weighted Degree kernel with shifts).
static SHOGUN_BASIC_CLASS CSGObject * __new_CKernelMeanMatching(EPrimitiveType g)
Definition: class_list.cpp:632
static SHOGUN_BASIC_CLASS CSGObject * __new_CMKLOneClass(EPrimitiveType g)
Definition: class_list.cpp:880
implement DotFeatures for the polynomial kernel
static SHOGUN_BASIC_CLASS CSGObject * __new_CMulticlassAccuracy(EPrimitiveType g)
Definition: class_list.cpp:762
class CanberraMetric
static SHOGUN_BASIC_CLASS CSGObject * __new_CAccuracyMeasure(EPrimitiveType g)
Definition: class_list.cpp:753
Preprocessor SortWordString, sorts the indivual strings in ascending order.
static SHOGUN_TEMPLATE_CLASS CSGObject * __new_CSparseMatrixOperator(EPrimitiveType g)
static SHOGUN_BASIC_CLASS CSGObject * __new_CMCLDA(EPrimitiveType g)
Definition: class_list.cpp:543
class CanberraWordDistance
This class implements streaming features with sparse feature vectors. The vector is represented as an...
static SHOGUN_BASIC_CLASS CSGObject * __new_CGradientEvaluation(EPrimitiveType g)
Definition: class_list.cpp:770
static SHOGUN_BASIC_CLASS CSGObject * __new_CGUIClassifier(EPrimitiveType g)
Definition: class_list.cpp:783
static SHOGUN_BASIC_CLASS CSGObject * __new_CClusteringAccuracy(EPrimitiveType g)
Definition: class_list.cpp:748
Implements Local Binary Patterns with Scale Pyramids as dot features for a set of images...
static SHOGUN_BASIC_CLASS CSGObject * __new_CSequenceLabels(EPrimitiveType g)
Definition: class_list.cpp:835
UI distance.
Definition: GUIDistance.h:25
Circular kernel.
static SHOGUN_TEMPLATE_CLASS CSGObject * __new_CSparseFeatures(EPrimitiveType g)
static SHOGUN_BASIC_CLASS CSGObject * __new_CRationalApproximationCGMJob(EPrimitiveType g)
Definition: class_list.cpp:526
static SHOGUN_BASIC_CLASS CSGObject * __new_CLatentSOSVM(EPrimitiveType g)
Definition: class_list.cpp:643
#define SHOGUN_TEMPLATE_CLASS
Definition: class_list.cpp:470
static SHOGUN_BASIC_CLASS CSGObject * __new_CVwNativeCacheReader(EPrimitiveType g)
Definition: class_list.cpp:876
This class can be used to provide on-the-fly vectorization of a document collection. Like in the standard Bag-of-Words representation, this class considers each document as a collection of tokens, which are then hashed into a new feature space of a specified dimension. This class is very flexible and allows the user to specify the tokenizer used to tokenize each document, specify whether the results should be normalized with regards to the sqrt of the document size, as well as to specify whether he wants to combine different tokens. The latter implements a k-skip n-grams approach, meaning that you can combine up to n tokens, while skipping up to k. Eg. for the tokens [&quot;a&quot;, &quot;b&quot;, &quot;c&quot;, &quot;d&quot;], with n_grams = 2 and skips = 2, one would get the following combinations : [&quot;a&quot;, &quot;ab&quot;, &quot;ac&quot; (skipped 1), &quot;ad&quot; (skipped 2), &quot;b&quot;, &quot;bc&quot;, &quot;bd&quot; (skipped 1), &quot;c&quot;, &quot;cd&quot;, &quot;d&quot;].
static SHOGUN_TEMPLATE_CLASS CSGObject * __new_CDecompressString(EPrimitiveType g)
static SHOGUN_BASIC_CLASS CSGObject * __new_CHash(EPrimitiveType g)
Definition: class_list.cpp:815
abstract class for latent labels As latent labels always depends on the given application, this class only defines the API that the user has to implement for latent labels.
Definition: LatentLabels.h:24
The LocalAlignmentString kernel compares two sequences through all possible local alignments between ...
static SHOGUN_BASIC_CLASS CSGObject * __new_CECOCOVREncoder(EPrimitiveType g)
Definition: class_list.cpp:561
static SHOGUN_BASIC_CLASS CSGObject * __new_CPowerKernel(EPrimitiveType g)
Definition: class_list.cpp:658
static SHOGUN_BASIC_CLASS CSGObject * __new_CVowpalWabbit(EPrimitiveType g)
Definition: class_list.cpp:874
Class that contains methods for computing Jacobi elliptic functions related to complex analysis...
Class CMulticlassSOLabels to be used in the application of Structured Output (SO) learning to multicl...
class FFSep
Definition: FFSep.h:36
The class CombinedFeatures is used to combine a number of of feature objects into a single CombinedFe...
static SHOGUN_BASIC_CLASS CSGObject * __new_CConstKernel(EPrimitiveType g)
Definition: class_list.cpp:652
static SHOGUN_BASIC_CLASS CSGObject * __new_CIndexBlockTree(EPrimitiveType g)
Definition: class_list.cpp:804
Implementaion of rational approximation of a operator-function times vector where the operator functi...
Class CStreamingFileFromSparseFeatures is derived from CStreamingFile and provides an input source fo...
static SHOGUN_BASIC_CLASS CSGObject * __new_CDirectEigenSolver(EPrimitiveType g)
Definition: class_list.cpp:518
class PlifArray
Definition: PlifArray.h:23
Gaussian Mixture Model interface.
Definition: GMM.h:40
static SHOGUN_BASIC_CLASS CSGObject * __new_CLibSVR(EPrimitiveType g)
Definition: class_list.cpp:718
static SHOGUN_BASIC_CLASS CSGObject * __new_CTron(EPrimitiveType g)
Definition: class_list.cpp:739
Log kernel.
Definition: LogKernel.h:35
Class CMulticlassModel that represents the application specific model and contains the application de...
static SHOGUN_BASIC_CLASS CSGObject * __new_CLogLossMargin(EPrimitiveType g)
Definition: class_list.cpp:887
Hidden Markov Model.
Definition: HMM.h:371
LibLinear for regression.
static SHOGUN_BASIC_CLASS CSGObject * __new_CMulticlassOneVsOneStrategy(EPrimitiveType g)
Definition: class_list.cpp:548
static SHOGUN_BASIC_CLASS CSGObject * __new_CManhattanWordDistance(EPrimitiveType g)
Definition: class_list.cpp:893
Class CFactor A factor is defined on a clique in the factor graph. Each factor can have its own data...
Definition: Factor.h:87
static SHOGUN_BASIC_CLASS CSGObject * __new_CGeodesicMetric(EPrimitiveType g)
Definition: class_list.cpp:904
static SHOGUN_BASIC_CLASS CSGObject * __new_CMultitaskKernelNormalizer(EPrimitiveType g)
Definition: class_list.cpp:503
Base class of the components of StructuredLabels.
class EuclideanDistance
static SHOGUN_BASIC_CLASS CSGObject * __new_CGMNPLib(EPrimitiveType g)
Definition: class_list.cpp:545
static SHOGUN_BASIC_CLASS CSGObject * __new_CHammingWordDistance(EPrimitiveType g)
Definition: class_list.cpp:906
CLogLoss implements the logarithmic loss function.
Definition: LogLoss.h:22
VarianceKernelNormalizer divides by the ``variance&#39;&#39;.
static SHOGUN_BASIC_CLASS CSGObject * __new_CPlifMatrix(EPrimitiveType g)
Definition: class_list.cpp:836
Collection of Hashing Functions.
Definition: Hash.h:47
static SHOGUN_BASIC_CLASS CSGObject * __new_CSVMOcas(EPrimitiveType g)
Definition: class_list.cpp:868
static SHOGUN_BASIC_CLASS CSGObject * __new_CMath(EPrimitiveType g)
Definition: class_list.cpp:530
The class LinearHMM is for learning Higher Order Markov chains.
Definition: LinearHMM.h:39
Class List implements a doubly connected list for low-level-objects.
Definition: List.h:82
static SHOGUN_BASIC_CLASS CSGObject * __new_CMMDKernelSelectionCombOpt(EPrimitiveType g)
Definition: class_list.cpp:626
The class FKFeatures implements Fischer kernel features obtained from two Hidden Markov models...
Definition: FKFeatures.h:41
static SHOGUN_BASIC_CLASS CSGObject * __new_CFactorAnalysis(EPrimitiveType g)
Definition: class_list.cpp:484
static SHOGUN_BASIC_CLASS CSGObject * __new_CMultitaskL12LogisticRegression(EPrimitiveType g)
Definition: class_list.cpp:504
The LocalityImprovedString kernel is inspired by the polynomial kernel. Comparing neighboring charact...
store plif arrays for all transitions in the model
Definition: PlifMatrix.h:29
Class that models Probit likelihood.
static SHOGUN_BASIC_CLASS CSGObject * __new_CChebyshewMetric(EPrimitiveType g)
Definition: class_list.cpp:905
Preprocessor SumOne, normalizes vectors to have sum 1.
Definition: SumOne.h:31
static SHOGUN_BASIC_CLASS CSGObject * __new_CWeightedMajorityVote(EPrimitiveType g)
Definition: class_list.cpp:740
static SHOGUN_BASIC_CLASS CSGObject * __new_CLatentLabels(EPrimitiveType g)
Definition: class_list.cpp:641
The zero mean function class.
Definition: ZeroMean.h:23
Class CVwNativeCacheWriter writes a cache exactly as that which would be produced by VW&#39;s default cac...
static SHOGUN_BASIC_CLASS CSGObject * __new_CBaggingMachine(EPrimitiveType g)
Definition: class_list.cpp:576
static SHOGUN_BASIC_CLASS CSGObject * __new_CLogPlusOne(EPrimitiveType g)
Definition: class_list.cpp:800
static SHOGUN_BASIC_CLASS CSGObject * __new_COnlineLinearMachine(EPrimitiveType g)
Definition: class_list.cpp:581
static SHOGUN_BASIC_CLASS CSGObject * __new_CIntegration(EPrimitiveType g)
Definition: class_list.cpp:538
static SHOGUN_BASIC_CLASS CSGObject * __new_CMulticlassSOLabels(EPrimitiveType g)
Definition: class_list.cpp:843
static SHOGUN_BASIC_CLASS CSGObject * __new_CLibSVMOneClass(EPrimitiveType g)
Definition: class_list.cpp:856
static SHOGUN_BASIC_CLASS CSGObject * __new_CLogRationalApproximationIndividual(EPrimitiveType g)
Definition: class_list.cpp:521
CSmoothHingeLoss implements the smooth hinge loss function.
The MultitaskKernel allows Multitask Learning via a modified kernel function based on taxonomy...
static SHOGUN_BASIC_CLASS CSGObject * __new_CSNPFeatures(EPrimitiveType g)
Definition: class_list.cpp:614
static SHOGUN_BASIC_CLASS CSGObject * __new_CDataGenerator(EPrimitiveType g)
Definition: class_list.cpp:616
class SOBI
Definition: SOBI.h:37
static SHOGUN_BASIC_CLASS CSGObject * __new_CGaussianARDKernel(EPrimitiveType g)
Definition: class_list.cpp:707
Kernel Mean Matching.

SHOGUN Machine Learning Toolbox - Documentation