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class_list.cpp
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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 
18 #include "labels/LatentLabels.h"
20 #include "labels/BinaryLabels.h"
25 #include "labels/LabelsFactory.h"
26 #include "structure/SegmentLoss.h"
27 #include "structure/MAPInference.h"
28 #include "structure/HMSVMModel.h"
29 #include "structure/FactorGraph.h"
30 #include "structure/DynProg.h"
31 #include "structure/DisjointSet.h"
33 #include "structure/CCSOSVM.h"
35 #include "structure/PlifArray.h"
36 #include "structure/FactorType.h"
37 #include "structure/IntronList.h"
41 #include "structure/PlifMatrix.h"
42 #include "structure/SOSVMHelper.h"
43 #include "structure/Factor.h"
45 #include "structure/Plif.h"
47 #include "io/IOBuffer.h"
48 #include "io/LibSVMFile.h"
49 #include "io/ProtobufFile.h"
50 #include "io/LineReader.h"
51 #include "io/MemoryMappedFile.h"
53 #include "io/CSVFile.h"
54 #include "io/BinaryFile.h"
55 #include "io/SimpleFile.h"
56 #include "io/BinaryStream.h"
57 #include "io/Parser.h"
69 #include "mathematics/Math.h"
70 #include "mathematics/Random.h"
72 #include "mathematics/Statistics.h"
73 #include "mathematics/ajd/FFDiag.h"
74 #include "mathematics/ajd/UWedge.h"
76 #include "mathematics/ajd/QDiag.h"
77 #include "mathematics/ajd/JADiag.h"
95 #include "ensemble/MeanRule.h"
96 #include "ensemble/MajorityVote.h"
98 #include "classifier/LDA.h"
104 #include "classifier/Perceptron.h"
108 #include "classifier/svm/GNPPLib.h"
110 #include "classifier/svm/SVMSGD.h"
111 #include "classifier/svm/LibSVM.h"
113 #include "classifier/svm/GNPPSVM.h"
114 #include "classifier/svm/MPDSVM.h"
116 #include "classifier/svm/SGDQN.h"
117 #include "classifier/svm/SVM.h"
121 #include "classifier/svm/SVMLin.h"
122 #include "classifier/svm/SVMOcas.h"
124 #include "classifier/svm/GPBTSVM.h"
128 #include "classifier/vw/VwParser.h"
137 #include "statistics/HSIC.h"
142 #include "lib/NGramTokenizer.h"
143 #include "lib/BitString.h"
144 #include "lib/DynamicArray.h"
145 #include "lib/Time.h"
146 #include "lib/DynamicObjectArray.h"
147 #include "lib/CircularBuffer.h"
148 #include "lib/Data.h"
149 #include "lib/IndexBlockGroup.h"
150 #include "lib/Compressor.h"
151 #include "lib/DelimiterTokenizer.h"
152 #include "lib/Cache.h"
153 #include "lib/Set.h"
154 #include "lib/Signal.h"
155 #include "lib/List.h"
156 #include "lib/Hash.h"
157 #include "lib/IndexBlockTree.h"
158 #include "lib/IndexBlock.h"
159 #include "lib/StructuredData.h"
165 #include "distributions/Histogram.h"
167 #include "distributions/GHMM.h"
168 #include "distributions/HMM.h"
169 #include "distributions/Gaussian.h"
170 #include "distributions/LinearHMM.h"
172 #include "metric/LMNN.h"
175 #include "multiclass/MCLDA.h"
177 #include "multiclass/GMNPSVM.h"
180 #include "multiclass/ScatterSVM.h"
184 #include "multiclass/QDA.h"
186 #include "multiclass/KNN.h"
187 #include "multiclass/ShareBoost.h"
188 #include "multiclass/LaRank.h"
189 #include "multiclass/GMNPLib.h"
210 #include "distance/KernelDistance.h"
213 #include "distance/CustomDistance.h"
215 #include "distance/JensenMetric.h"
217 #include "distance/CosineDistance.h"
220 #include "distance/GeodesicMetric.h"
222 #include "distance/CanberraMetric.h"
226 #include "latent/LatentSVM.h"
227 #include "latent/LatentSOSVM.h"
228 #include "features/WDFeatures.h"
230 #include "features/DummyFeatures.h"
232 #include "features/Alphabet.h"
233 #include "features/PolyFeatures.h"
237 #include "features/FKFeatures.h"
242 #include "features/DenseFeatures.h"
243 #include "features/SparseFeatures.h"
245 #include "features/Subset.h"
246 #include "features/SNPFeatures.h"
247 #include "features/LatentFeatures.h"
250 #include "features/DataGenerator.h"
253 #include "features/SubsetStack.h"
254 #include "features/TOPFeatures.h"
255 #include "features/MatrixFeatures.h"
258 #include "features/StringFeatures.h"
269 #include "ui/GUILabels.h"
270 #include "ui/GUIPreprocessor.h"
271 #include "ui/GUIClassifier.h"
272 #include "ui/GUITime.h"
273 #include "ui/GUIKernel.h"
274 #include "ui/GUIStructure.h"
275 #include "ui/GUIMath.h"
276 #include "ui/GUIFeatures.h"
277 #include "ui/GUIPluginEstimate.h"
278 #include "ui/GUIDistance.h"
279 #include "ui/GUIConverter.h"
280 #include "ui/GUIHMM.h"
289 #include "machine/Machine.h"
290 #include "machine/BaggingMachine.h"
293 #include "machine/KernelMachine.h"
294 #include "machine/DistanceMachine.h"
297 #include "machine/LinearMachine.h"
303 #include "machine/gp/ZeroMean.h"
336 #include "regression/svr/LibSVR.h"
339 #include "preprocessor/NormOne.h"
342 #include "preprocessor/PCA.h"
344 #include "preprocessor/PNorm.h"
346 #include "preprocessor/LogPlusOne.h"
348 #include "preprocessor/SumOne.h"
350 #include "preprocessor/KernelPCA.h"
361 #include "converter/DiffusionMaps.h"
366 #include "converter/Isomap.h"
368 #include "converter/ica/FFSep.h"
369 #include "converter/ica/FastICA.h"
370 #include "converter/ica/UWedgeSep.h"
371 #include "converter/ica/SOBI.h"
372 #include "converter/ica/JediSep.h"
373 #include "converter/ica/Jade.h"
391 #include "transfer/multitask/Task.h"
392 #include "loss/SquaredHingeLoss.h"
393 #include "loss/LogLossMargin.h"
394 #include "loss/HingeLoss.h"
395 #include "loss/LogLoss.h"
396 #include "loss/SmoothHingeLoss.h"
397 #include "loss/SquaredLoss.h"
398 #include "clustering/GMM.h"
399 #include "clustering/Hierarchical.h"
400 #include "clustering/KMeans.h"
402 #include "kernel/PolyKernel.h"
403 #include "kernel/DiagKernel.h"
404 #include "kernel/LinearKernel.h"
406 #include "kernel/CombinedKernel.h"
409 #include "kernel/SigmoidKernel.h"
411 #include "kernel/GaussianKernel.h"
412 #include "kernel/SphericalKernel.h"
413 #include "kernel/TStudentKernel.h"
414 #include "kernel/CircularKernel.h"
415 #include "kernel/SplineKernel.h"
416 #include "kernel/WaveletKernel.h"
417 #include "kernel/AUCKernel.h"
420 #include "kernel/LinearARDKernel.h"
421 #include "kernel/DistanceKernel.h"
422 #include "kernel/ConstKernel.h"
423 #include "kernel/Chi2Kernel.h"
424 #include "kernel/BesselKernel.h"
425 #include "kernel/PowerKernel.h"
426 #include "kernel/ProductKernel.h"
427 #include "kernel/PyramidChi2.h"
428 #include "kernel/CustomKernel.h"
431 #include "kernel/ANOVAKernel.h"
432 #include "kernel/WaveKernel.h"
434 #include "kernel/LogKernel.h"
435 #include "kernel/CauchyKernel.h"
471 using namespace shogun;
472 
473 #define SHOGUN_TEMPLATE_CLASS
474 #define SHOGUN_BASIC_CLASS
475 static SHOGUN_BASIC_CLASS CSGObject* __new_CLatentLabels(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CLatentLabels(): NULL; }
477 static SHOGUN_BASIC_CLASS CSGObject* __new_CBinaryLabels(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CBinaryLabels(): NULL; }
479 static SHOGUN_BASIC_CLASS CSGObject* __new_CFactorGraphLabels(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CFactorGraphLabels(): NULL; }
480 static SHOGUN_BASIC_CLASS CSGObject* __new_CStructuredLabels(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CStructuredLabels(): NULL; }
481 static SHOGUN_BASIC_CLASS CSGObject* __new_CRegressionLabels(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CRegressionLabels(): NULL; }
482 static SHOGUN_BASIC_CLASS CSGObject* __new_CMulticlassLabels(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CMulticlassLabels(): NULL; }
483 static SHOGUN_BASIC_CLASS CSGObject* __new_CLabelsFactory(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CLabelsFactory(): NULL; }
484 static SHOGUN_BASIC_CLASS CSGObject* __new_CSegmentLoss(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CSegmentLoss(): NULL; }
485 static SHOGUN_BASIC_CLASS CSGObject* __new_CMAPInference(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CMAPInference(): NULL; }
486 static SHOGUN_BASIC_CLASS CSGObject* __new_CHMSVMModel(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CHMSVMModel(): NULL; }
487 static SHOGUN_BASIC_CLASS CSGObject* __new_CFactorGraph(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CFactorGraph(): NULL; }
488 static SHOGUN_BASIC_CLASS CSGObject* __new_CDynProg(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CDynProg(): NULL; }
489 static SHOGUN_BASIC_CLASS CSGObject* __new_CDisjointSet(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CDisjointSet(): NULL; }
490 static SHOGUN_BASIC_CLASS CSGObject* __new_CSequence(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CSequence(): NULL; }
491 static SHOGUN_BASIC_CLASS CSGObject* __new_CSequenceLabels(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CSequenceLabels(): NULL; }
492 static SHOGUN_BASIC_CLASS CSGObject* __new_CCCSOSVM(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CCCSOSVM(): NULL; }
493 static SHOGUN_BASIC_CLASS CSGObject* __new_CMulticlassModel(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CMulticlassModel(): NULL; }
494 static SHOGUN_BASIC_CLASS CSGObject* __new_CPlifArray(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CPlifArray(): NULL; }
495 static SHOGUN_BASIC_CLASS CSGObject* __new_CFactorType(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CFactorType(): NULL; }
496 static SHOGUN_BASIC_CLASS CSGObject* __new_CTableFactorType(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CTableFactorType(): NULL; }
497 static SHOGUN_BASIC_CLASS CSGObject* __new_CIntronList(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CIntronList(): NULL; }
498 static SHOGUN_BASIC_CLASS CSGObject* __new_CMulticlassSOLabels(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CMulticlassSOLabels(): NULL; }
499 static SHOGUN_BASIC_CLASS CSGObject* __new_CTwoStateModel(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CTwoStateModel(): NULL; }
500 static SHOGUN_BASIC_CLASS CSGObject* __new_CDualLibQPBMSOSVM(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CDualLibQPBMSOSVM(): NULL; }
501 static SHOGUN_BASIC_CLASS CSGObject* __new_CPlifMatrix(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CPlifMatrix(): NULL; }
502 static SHOGUN_BASIC_CLASS CSGObject* __new_CSOSVMHelper(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CSOSVMHelper(): NULL; }
503 static SHOGUN_BASIC_CLASS CSGObject* __new_CFactorDataSource(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CFactorDataSource(): NULL; }
504 static SHOGUN_BASIC_CLASS CSGObject* __new_CFactor(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CFactor(): NULL; }
505 static SHOGUN_BASIC_CLASS CSGObject* __new_CFactorGraphModel(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CFactorGraphModel(): NULL; }
506 static SHOGUN_BASIC_CLASS CSGObject* __new_CPlif(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CPlif(): NULL; }
507 static SHOGUN_BASIC_CLASS CSGObject* __new_CStochasticSOSVM(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CStochasticSOSVM(): NULL; }
508 static SHOGUN_BASIC_CLASS CSGObject* __new_CIOBuffer(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CIOBuffer(): NULL; }
510 static SHOGUN_BASIC_CLASS CSGObject* __new_CStreamingFile(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CStreamingFile(): NULL; }
511 static SHOGUN_BASIC_CLASS CSGObject* __new_CStreamingVwFile(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CStreamingVwFile(): NULL; }
512 static SHOGUN_BASIC_CLASS CSGObject* __new_CStreamingAsciiFile(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CStreamingAsciiFile(): NULL; }
513 static SHOGUN_BASIC_CLASS CSGObject* __new_CStreamingVwCacheFile(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CStreamingVwCacheFile(): NULL; }
514 static SHOGUN_BASIC_CLASS CSGObject* __new_CLibSVMFile(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CLibSVMFile(): NULL; }
515 static SHOGUN_BASIC_CLASS CSGObject* __new_CProtobufFile(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CProtobufFile(): NULL; }
516 static SHOGUN_BASIC_CLASS CSGObject* __new_CLineReader(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CLineReader(): NULL; }
518 static SHOGUN_BASIC_CLASS CSGObject* __new_CCSVFile(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CCSVFile(): NULL; }
519 static SHOGUN_BASIC_CLASS CSGObject* __new_CBinaryFile(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CBinaryFile(): NULL; }
520 static SHOGUN_BASIC_CLASS CSGObject* __new_CParser(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CParser(): NULL; }
522 static SHOGUN_BASIC_CLASS CSGObject* __new_CIntegration(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CIntegration(): NULL; }
523 static SHOGUN_BASIC_CLASS CSGObject* __new_CMath(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CMath(): NULL; }
524 static SHOGUN_BASIC_CLASS CSGObject* __new_CFFDiag(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CFFDiag(): NULL; }
525 static SHOGUN_BASIC_CLASS CSGObject* __new_CUWedge(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CUWedge(): NULL; }
526 static SHOGUN_BASIC_CLASS CSGObject* __new_CJADiagOrth(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CJADiagOrth(): NULL; }
527 static SHOGUN_BASIC_CLASS CSGObject* __new_CQDiag(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CQDiag(): NULL; }
528 static SHOGUN_BASIC_CLASS CSGObject* __new_CJADiag(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CJADiag(): NULL; }
529 static SHOGUN_BASIC_CLASS CSGObject* __new_CJediDiag(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CJediDiag(): NULL; }
530 static SHOGUN_BASIC_CLASS CSGObject* __new_CRandom(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CRandom(): NULL; }
532 static SHOGUN_BASIC_CLASS CSGObject* __new_CNormalSampler(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CNormalSampler(): NULL; }
534 static SHOGUN_BASIC_CLASS CSGObject* __new_CDenseExactLogJob(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CDenseExactLogJob(): NULL; }
538 static SHOGUN_BASIC_CLASS CSGObject* __new_CDenseMatrixExactLog(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CDenseMatrixExactLog(): NULL; }
540 static SHOGUN_BASIC_CLASS CSGObject* __new_CLogDetEstimator(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CLogDetEstimator(): NULL; }
541 static SHOGUN_BASIC_CLASS CSGObject* __new_CLanczosEigenSolver(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CLanczosEigenSolver(): NULL; }
542 static SHOGUN_BASIC_CLASS CSGObject* __new_CDirectEigenSolver(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CDirectEigenSolver(): NULL; }
546 static SHOGUN_BASIC_CLASS CSGObject* __new_CStatistics(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CStatistics(): NULL; }
547 static SHOGUN_BASIC_CLASS CSGObject* __new_CMeanRule(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CMeanRule(): NULL; }
548 static SHOGUN_BASIC_CLASS CSGObject* __new_CMajorityVote(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CMajorityVote(): NULL; }
549 static SHOGUN_BASIC_CLASS CSGObject* __new_CWeightedMajorityVote(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CWeightedMajorityVote(): NULL; }
550 static SHOGUN_BASIC_CLASS CSGObject* __new_CLDA(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CLDA(): NULL; }
551 static SHOGUN_BASIC_CLASS CSGObject* __new_CMKLMulticlass(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CMKLMulticlass(): NULL; }
552 static SHOGUN_BASIC_CLASS CSGObject* __new_CMKLOneClass(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CMKLOneClass(): NULL; }
553 static SHOGUN_BASIC_CLASS CSGObject* __new_CMKLClassification(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CMKLClassification(): NULL; }
554 static SHOGUN_BASIC_CLASS CSGObject* __new_CAveragedPerceptron(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CAveragedPerceptron(): NULL; }
555 static SHOGUN_BASIC_CLASS CSGObject* __new_CPluginEstimate(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CPluginEstimate(): NULL; }
556 static SHOGUN_BASIC_CLASS CSGObject* __new_CNearestCentroid(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CNearestCentroid(): NULL; }
557 static SHOGUN_BASIC_CLASS CSGObject* __new_CGNPPLib(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CGNPPLib(): NULL; }
558 static SHOGUN_BASIC_CLASS CSGObject* __new_CWDSVMOcas(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CWDSVMOcas(): NULL; }
559 static SHOGUN_BASIC_CLASS CSGObject* __new_CSVMSGD(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CSVMSGD(): NULL; }
560 static SHOGUN_BASIC_CLASS CSGObject* __new_CLibSVM(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CLibSVM(): NULL; }
561 static SHOGUN_BASIC_CLASS CSGObject* __new_COnlineLibLinear(EPrimitiveType g) { return g == PT_NOT_GENERIC? new COnlineLibLinear(): NULL; }
562 static SHOGUN_BASIC_CLASS CSGObject* __new_CGNPPSVM(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CGNPPSVM(): NULL; }
563 static SHOGUN_BASIC_CLASS CSGObject* __new_CMPDSVM(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CMPDSVM(): NULL; }
564 static SHOGUN_BASIC_CLASS CSGObject* __new_CNewtonSVM(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CNewtonSVM(): NULL; }
565 static SHOGUN_BASIC_CLASS CSGObject* __new_CSGDQN(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CSGDQN(): NULL; }
566 static SHOGUN_BASIC_CLASS CSGObject* __new_CSVM(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CSVM(): NULL; }
567 static SHOGUN_BASIC_CLASS CSGObject* __new_CLibLinear(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CLibLinear(): NULL; }
568 static SHOGUN_BASIC_CLASS CSGObject* __new_CQPBSVMLib(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CQPBSVMLib(): NULL; }
569 static SHOGUN_BASIC_CLASS CSGObject* __new_COnlineSVMSGD(EPrimitiveType g) { return g == PT_NOT_GENERIC? new COnlineSVMSGD(): NULL; }
570 static SHOGUN_BASIC_CLASS CSGObject* __new_CSVMLin(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CSVMLin(): NULL; }
571 static SHOGUN_BASIC_CLASS CSGObject* __new_CSVMOcas(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CSVMOcas(): NULL; }
572 static SHOGUN_BASIC_CLASS CSGObject* __new_CLibSVMOneClass(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CLibSVMOneClass(): NULL; }
573 static SHOGUN_BASIC_CLASS CSGObject* __new_CGPBTSVM(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CGPBTSVM(): NULL; }
575 static SHOGUN_BASIC_CLASS CSGObject* __new_CVwNativeCacheWriter(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CVwNativeCacheWriter(): NULL; }
576 static SHOGUN_BASIC_CLASS CSGObject* __new_CVwNativeCacheReader(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CVwNativeCacheReader(): NULL; }
577 static SHOGUN_BASIC_CLASS CSGObject* __new_CVwRegressor(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CVwRegressor(): NULL; }
578 static SHOGUN_BASIC_CLASS CSGObject* __new_CVowpalWabbit(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CVowpalWabbit(): NULL; }
579 static SHOGUN_BASIC_CLASS CSGObject* __new_CVwEnvironment(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CVwEnvironment(): NULL; }
580 static SHOGUN_BASIC_CLASS CSGObject* __new_CVwNonAdaptiveLearner(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CVwNonAdaptiveLearner(): NULL; }
581 static SHOGUN_BASIC_CLASS CSGObject* __new_CVwAdaptiveLearner(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CVwAdaptiveLearner(): NULL; }
582 static SHOGUN_BASIC_CLASS CSGObject* __new_CVwParser(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CVwParser(): NULL; }
584 static SHOGUN_BASIC_CLASS CSGObject* __new_CPerceptron(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CPerceptron(): NULL; }
587 static SHOGUN_BASIC_CLASS CSGObject* __new_CKernelMeanMatching(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CKernelMeanMatching(): NULL; }
589 static SHOGUN_BASIC_CLASS CSGObject* __new_CHSIC(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CHSIC(): NULL; }
592 static SHOGUN_BASIC_CLASS CSGObject* __new_CLinearTimeMMD(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CLinearTimeMMD(): NULL; }
593 static SHOGUN_BASIC_CLASS CSGObject* __new_CQuadraticTimeMMD(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CQuadraticTimeMMD(): NULL; }
594 static SHOGUN_BASIC_CLASS CSGObject* __new_CNGramTokenizer(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CNGramTokenizer(): NULL; }
595 static SHOGUN_BASIC_CLASS CSGObject* __new_CBitString(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CBitString(): NULL; }
596 static SHOGUN_BASIC_CLASS CSGObject* __new_CJobResult(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CJobResult(): NULL; }
598 static SHOGUN_BASIC_CLASS CSGObject* __new_CTime(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CTime(): NULL; }
599 static SHOGUN_BASIC_CLASS CSGObject* __new_CDynamicObjectArray(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CDynamicObjectArray(): NULL; }
600 static SHOGUN_BASIC_CLASS CSGObject* __new_CCircularBuffer(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CCircularBuffer(): NULL; }
601 static SHOGUN_BASIC_CLASS CSGObject* __new_CData(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CData(): NULL; }
602 static SHOGUN_BASIC_CLASS CSGObject* __new_CIndexBlockGroup(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CIndexBlockGroup(): NULL; }
603 static SHOGUN_BASIC_CLASS CSGObject* __new_CCompressor(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CCompressor(): NULL; }
604 static SHOGUN_BASIC_CLASS CSGObject* __new_CDelimiterTokenizer(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CDelimiterTokenizer(): NULL; }
605 static SHOGUN_BASIC_CLASS CSGObject* __new_CSignal(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CSignal(): NULL; }
606 static SHOGUN_BASIC_CLASS CSGObject* __new_CListElement(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CListElement(): NULL; }
607 static SHOGUN_BASIC_CLASS CSGObject* __new_CList(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CList(): NULL; }
608 static SHOGUN_BASIC_CLASS CSGObject* __new_CHash(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CHash(): NULL; }
609 static SHOGUN_BASIC_CLASS CSGObject* __new_CIndexBlockTree(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CIndexBlockTree(): NULL; }
610 static SHOGUN_BASIC_CLASS CSGObject* __new_CIndexBlock(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CIndexBlock(): NULL; }
611 static SHOGUN_BASIC_CLASS CSGObject* __new_CStructuredData(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CStructuredData(): NULL; }
612 static SHOGUN_BASIC_CLASS CSGObject* __new_CHistogram(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CHistogram(): NULL; }
613 static SHOGUN_BASIC_CLASS CSGObject* __new_CPositionalPWM(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CPositionalPWM(): NULL; }
614 static SHOGUN_BASIC_CLASS CSGObject* __new_CGaussianDistribution(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CGaussianDistribution(): NULL; }
615 static SHOGUN_BASIC_CLASS CSGObject* __new_CGHMM(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CGHMM(): NULL; }
616 static SHOGUN_BASIC_CLASS CSGObject* __new_CHMM(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CHMM(): NULL; }
617 static SHOGUN_BASIC_CLASS CSGObject* __new_CGaussian(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CGaussian(): NULL; }
618 static SHOGUN_BASIC_CLASS CSGObject* __new_CLinearHMM(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CLinearHMM(): NULL; }
619 static SHOGUN_BASIC_CLASS CSGObject* __new_CLMNN(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CLMNN(): NULL; }
620 static SHOGUN_BASIC_CLASS CSGObject* __new_CLMNNStatistics(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CLMNNStatistics(): NULL; }
621 static SHOGUN_BASIC_CLASS CSGObject* __new_CMulticlassSVM(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CMulticlassSVM(): NULL; }
623 static SHOGUN_BASIC_CLASS CSGObject* __new_CMCLDA(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CMCLDA(): NULL; }
626 static SHOGUN_BASIC_CLASS CSGObject* __new_CRelaxedTree(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CRelaxedTree(): NULL; }
631 static SHOGUN_BASIC_CLASS CSGObject* __new_CECOCForestEncoder(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CECOCForestEncoder(): NULL; }
632 static SHOGUN_BASIC_CLASS CSGObject* __new_CECOCOVREncoder(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CECOCOVREncoder(): NULL; }
633 static SHOGUN_BASIC_CLASS CSGObject* __new_CECOCEDDecoder(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CECOCEDDecoder(): NULL; }
634 static SHOGUN_BASIC_CLASS CSGObject* __new_CECOCHDDecoder(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CECOCHDDecoder(): NULL; }
635 static SHOGUN_BASIC_CLASS CSGObject* __new_CECOCStrategy(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CECOCStrategy(): NULL; }
636 static SHOGUN_BASIC_CLASS CSGObject* __new_CECOCOVOEncoder(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CECOCOVOEncoder(): NULL; }
638 static SHOGUN_BASIC_CLASS CSGObject* __new_CECOCIHDDecoder(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CECOCIHDDecoder(): NULL; }
639 static SHOGUN_BASIC_CLASS CSGObject* __new_CECOCAEDDecoder(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CECOCAEDDecoder(): NULL; }
640 static SHOGUN_BASIC_CLASS CSGObject* __new_CECOCLLBDecoder(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CECOCLLBDecoder(): NULL; }
641 static SHOGUN_BASIC_CLASS CSGObject* __new_CGaussianNaiveBayes(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CGaussianNaiveBayes(): NULL; }
642 static SHOGUN_BASIC_CLASS CSGObject* __new_CGMNPSVM(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CGMNPSVM(): NULL; }
643 static SHOGUN_BASIC_CLASS CSGObject* __new_CMulticlassLibSVM(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CMulticlassLibSVM(): NULL; }
644 static SHOGUN_BASIC_CLASS CSGObject* __new_CMulticlassOCAS(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CMulticlassOCAS(): NULL; }
645 static SHOGUN_BASIC_CLASS CSGObject* __new_CScatterSVM(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CScatterSVM(): NULL; }
648 static SHOGUN_BASIC_CLASS CSGObject* __new_CMulticlassLibLinear(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CMulticlassLibLinear(): NULL; }
649 static SHOGUN_BASIC_CLASS CSGObject* __new_CQDA(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CQDA(): NULL; }
651 static SHOGUN_BASIC_CLASS CSGObject* __new_CKNN(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CKNN(): NULL; }
652 static SHOGUN_BASIC_CLASS CSGObject* __new_CShareBoost(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CShareBoost(): NULL; }
653 static SHOGUN_BASIC_CLASS CSGObject* __new_CLaRank(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CLaRank(): NULL; }
654 static SHOGUN_BASIC_CLASS CSGObject* __new_CGMNPLib(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CGMNPLib(): NULL; }
656 static SHOGUN_BASIC_CLASS CSGObject* __new_CManhattanMetric(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CManhattanMetric(): NULL; }
657 static SHOGUN_BASIC_CLASS CSGObject* __new_CCanberraWordDistance(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CCanberraWordDistance(): NULL; }
659 static SHOGUN_BASIC_CLASS CSGObject* __new_CKernelDistance(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CKernelDistance(): NULL; }
661 static SHOGUN_BASIC_CLASS CSGObject* __new_CTanimotoDistance(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CTanimotoDistance(): NULL; }
662 static SHOGUN_BASIC_CLASS CSGObject* __new_CCustomDistance(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CCustomDistance(): NULL; }
663 static SHOGUN_BASIC_CLASS CSGObject* __new_CMinkowskiMetric(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CMinkowskiMetric(): NULL; }
664 static SHOGUN_BASIC_CLASS CSGObject* __new_CJensenMetric(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CJensenMetric(): NULL; }
665 static SHOGUN_BASIC_CLASS CSGObject* __new_CMahalanobisDistance(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CMahalanobisDistance(): NULL; }
666 static SHOGUN_BASIC_CLASS CSGObject* __new_CCosineDistance(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CCosineDistance(): NULL; }
668 static SHOGUN_BASIC_CLASS CSGObject* __new_CHammingWordDistance(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CHammingWordDistance(): NULL; }
669 static SHOGUN_BASIC_CLASS CSGObject* __new_CGeodesicMetric(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CGeodesicMetric(): NULL; }
670 static SHOGUN_BASIC_CLASS CSGObject* __new_CBrayCurtisDistance(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CBrayCurtisDistance(): NULL; }
671 static SHOGUN_BASIC_CLASS CSGObject* __new_CCanberraMetric(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CCanberraMetric(): NULL; }
672 static SHOGUN_BASIC_CLASS CSGObject* __new_CEuclideanDistance(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CEuclideanDistance(): NULL; }
673 static SHOGUN_BASIC_CLASS CSGObject* __new_CChiSquareDistance(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CChiSquareDistance(): NULL; }
674 static SHOGUN_BASIC_CLASS CSGObject* __new_CChebyshewMetric(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CChebyshewMetric(): NULL; }
675 static SHOGUN_BASIC_CLASS CSGObject* __new_CLatentSVM(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CLatentSVM(): NULL; }
676 static SHOGUN_BASIC_CLASS CSGObject* __new_CLatentSOSVM(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CLatentSOSVM(): NULL; }
677 static SHOGUN_BASIC_CLASS CSGObject* __new_CWDFeatures(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CWDFeatures(): NULL; }
679 static SHOGUN_BASIC_CLASS CSGObject* __new_CStreamingVwFeatures(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CStreamingVwFeatures(): NULL; }
682 static SHOGUN_BASIC_CLASS CSGObject* __new_CSparsePolyFeatures(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CSparsePolyFeatures(): NULL; }
683 static SHOGUN_BASIC_CLASS CSGObject* __new_CDummyFeatures(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CDummyFeatures(): NULL; }
685 static SHOGUN_BASIC_CLASS CSGObject* __new_CAlphabet(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CAlphabet(): NULL; }
686 static SHOGUN_BASIC_CLASS CSGObject* __new_CPolyFeatures(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CPolyFeatures(): NULL; }
687 static SHOGUN_BASIC_CLASS CSGObject* __new_CHashedDocDotFeatures(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CHashedDocDotFeatures(): NULL; }
688 static SHOGUN_BASIC_CLASS CSGObject* __new_CFKFeatures(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CFKFeatures(): NULL; }
689 static SHOGUN_BASIC_CLASS CSGObject* __new_CFactorGraphFeatures(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CFactorGraphFeatures(): NULL; }
691 static SHOGUN_BASIC_CLASS CSGObject* __new_CExplicitSpecFeatures(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CExplicitSpecFeatures(): NULL; }
692 static SHOGUN_BASIC_CLASS CSGObject* __new_CHashedWDFeatures(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CHashedWDFeatures(): NULL; }
693 static SHOGUN_BASIC_CLASS CSGObject* __new_CCombinedDotFeatures(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CCombinedDotFeatures(): NULL; }
694 static SHOGUN_BASIC_CLASS CSGObject* __new_CSubset(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CSubset(): NULL; }
695 static SHOGUN_BASIC_CLASS CSGObject* __new_CSNPFeatures(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CSNPFeatures(): NULL; }
696 static SHOGUN_BASIC_CLASS CSGObject* __new_CLatentFeatures(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CLatentFeatures(): NULL; }
697 static SHOGUN_BASIC_CLASS CSGObject* __new_CCombinedFeatures(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CCombinedFeatures(): NULL; }
698 static SHOGUN_BASIC_CLASS CSGObject* __new_CRealFileFeatures(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CRealFileFeatures(): NULL; }
699 static SHOGUN_BASIC_CLASS CSGObject* __new_CDataGenerator(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CDataGenerator(): NULL; }
700 static SHOGUN_BASIC_CLASS CSGObject* __new_CLBPPyrDotFeatures(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CLBPPyrDotFeatures(): NULL; }
702 static SHOGUN_BASIC_CLASS CSGObject* __new_CSubsetStack(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CSubsetStack(): NULL; }
703 static SHOGUN_BASIC_CLASS CSGObject* __new_CTOPFeatures(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CTOPFeatures(): NULL; }
704 static SHOGUN_BASIC_CLASS CSGObject* __new_CBinnedDotFeatures(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CBinnedDotFeatures(): NULL; }
705 static SHOGUN_BASIC_CLASS CSGObject* __new_CGUILabels(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CGUILabels(): NULL; }
706 static SHOGUN_BASIC_CLASS CSGObject* __new_CGUIPreprocessor(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CGUIPreprocessor(): NULL; }
707 static SHOGUN_BASIC_CLASS CSGObject* __new_CGUIClassifier(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CGUIClassifier(): NULL; }
708 static SHOGUN_BASIC_CLASS CSGObject* __new_CGUITime(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CGUITime(): NULL; }
709 static SHOGUN_BASIC_CLASS CSGObject* __new_CGUIKernel(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CGUIKernel(): NULL; }
710 static SHOGUN_BASIC_CLASS CSGObject* __new_CGUIStructure(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CGUIStructure(): NULL; }
711 static SHOGUN_BASIC_CLASS CSGObject* __new_CGUIMath(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CGUIMath(): NULL; }
712 static SHOGUN_BASIC_CLASS CSGObject* __new_CGUIFeatures(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CGUIFeatures(): NULL; }
713 static SHOGUN_BASIC_CLASS CSGObject* __new_CGUIPluginEstimate(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CGUIPluginEstimate(): NULL; }
714 static SHOGUN_BASIC_CLASS CSGObject* __new_CGUIDistance(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CGUIDistance(): NULL; }
715 static SHOGUN_BASIC_CLASS CSGObject* __new_CGUIConverter(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CGUIConverter(): NULL; }
716 static SHOGUN_BASIC_CLASS CSGObject* __new_CGUIHMM(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CGUIHMM(): NULL; }
721 static SHOGUN_BASIC_CLASS CSGObject* __new_CParameterCombination(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CParameterCombination(): NULL; }
725 static SHOGUN_BASIC_CLASS CSGObject* __new_CMachine(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CMachine(): NULL; }
726 static SHOGUN_BASIC_CLASS CSGObject* __new_CBaggingMachine(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CBaggingMachine(): NULL; }
727 static SHOGUN_BASIC_CLASS CSGObject* __new_COnlineLinearMachine(EPrimitiveType g) { return g == PT_NOT_GENERIC? new COnlineLinearMachine(): NULL; }
729 static SHOGUN_BASIC_CLASS CSGObject* __new_CKernelMachine(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CKernelMachine(): NULL; }
730 static SHOGUN_BASIC_CLASS CSGObject* __new_CDistanceMachine(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CDistanceMachine(): NULL; }
733 static SHOGUN_BASIC_CLASS CSGObject* __new_CLinearMachine(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CLinearMachine(): NULL; }
736 static SHOGUN_BASIC_CLASS CSGObject* __new_CExactInferenceMethod(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CExactInferenceMethod(): NULL; }
737 static SHOGUN_BASIC_CLASS CSGObject* __new_CLogitLikelihood(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CLogitLikelihood(): NULL; }
738 static SHOGUN_BASIC_CLASS CSGObject* __new_CEPInferenceMethod(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CEPInferenceMethod(): NULL; }
739 static SHOGUN_BASIC_CLASS CSGObject* __new_CZeroMean(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CZeroMean(): NULL; }
740 static SHOGUN_BASIC_CLASS CSGObject* __new_CProbitLikelihood(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CProbitLikelihood(): NULL; }
742 static SHOGUN_BASIC_CLASS CSGObject* __new_CStudentsTLikelihood(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CStudentsTLikelihood(): NULL; }
743 static SHOGUN_BASIC_CLASS CSGObject* __new_CGaussianLikelihood(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CGaussianLikelihood(): NULL; }
744 static SHOGUN_BASIC_CLASS CSGObject* __new_CFITCInferenceMethod(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CFITCInferenceMethod(): NULL; }
745 static SHOGUN_BASIC_CLASS CSGObject* __new_CPRCEvaluation(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CPRCEvaluation(): NULL; }
746 static SHOGUN_BASIC_CLASS CSGObject* __new_CClusteringAccuracy(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CClusteringAccuracy(): NULL; }
747 static SHOGUN_BASIC_CLASS CSGObject* __new_CGradientEvaluation(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CGradientEvaluation(): NULL; }
748 static SHOGUN_BASIC_CLASS CSGObject* __new_CMeanSquaredLogError(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CMeanSquaredLogError(): NULL; }
753 static SHOGUN_BASIC_CLASS CSGObject* __new_CGradientCriterion(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CGradientCriterion(): NULL; }
755 static SHOGUN_BASIC_CLASS CSGObject* __new_CStructuredAccuracy(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CStructuredAccuracy(): NULL; }
756 static SHOGUN_BASIC_CLASS CSGObject* __new_CMulticlassAccuracy(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CMulticlassAccuracy(): NULL; }
758 static SHOGUN_BASIC_CLASS CSGObject* __new_CCrossValidation(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CCrossValidation(): NULL; }
759 static SHOGUN_BASIC_CLASS CSGObject* __new_CROCEvaluation(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CROCEvaluation(): NULL; }
761 static SHOGUN_BASIC_CLASS CSGObject* __new_CAccuracyMeasure(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CAccuracyMeasure(): NULL; }
762 static SHOGUN_BASIC_CLASS CSGObject* __new_CErrorRateMeasure(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CErrorRateMeasure(): NULL; }
763 static SHOGUN_BASIC_CLASS CSGObject* __new_CBALMeasure(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CBALMeasure(): NULL; }
764 static SHOGUN_BASIC_CLASS CSGObject* __new_CWRACCMeasure(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CWRACCMeasure(): NULL; }
765 static SHOGUN_BASIC_CLASS CSGObject* __new_CF1Measure(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CF1Measure(): NULL; }
767 static SHOGUN_BASIC_CLASS CSGObject* __new_CRecallMeasure(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CRecallMeasure(): NULL; }
768 static SHOGUN_BASIC_CLASS CSGObject* __new_CPrecisionMeasure(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CPrecisionMeasure(): NULL; }
769 static SHOGUN_BASIC_CLASS CSGObject* __new_CSpecificityMeasure(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CSpecificityMeasure(): NULL; }
770 static SHOGUN_BASIC_CLASS CSGObject* __new_CGradientResult(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CGradientResult(): NULL; }
772 static SHOGUN_BASIC_CLASS CSGObject* __new_CMeanAbsoluteError(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CMeanAbsoluteError(): NULL; }
773 static SHOGUN_BASIC_CLASS CSGObject* __new_CMeanSquaredError(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CMeanSquaredError(): NULL; }
777 static SHOGUN_BASIC_CLASS CSGObject* __new_CLeastAngleRegression(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CLeastAngleRegression(): NULL; }
779 static SHOGUN_BASIC_CLASS CSGObject* __new_CLibLinearRegression(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CLibLinearRegression(): NULL; }
780 static SHOGUN_BASIC_CLASS CSGObject* __new_CLibSVR(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CLibSVR(): NULL; }
781 static SHOGUN_BASIC_CLASS CSGObject* __new_CMKLRegression(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CMKLRegression(): NULL; }
784 static SHOGUN_BASIC_CLASS CSGObject* __new_CSortWordString(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CSortWordString(): NULL; }
785 static SHOGUN_BASIC_CLASS CSGObject* __new_CNormOne(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CNormOne(): NULL; }
787 static SHOGUN_BASIC_CLASS CSGObject* __new_CSortUlongString(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CSortUlongString(): NULL; }
788 static SHOGUN_BASIC_CLASS CSGObject* __new_CPCA(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CPCA(): NULL; }
789 static SHOGUN_BASIC_CLASS CSGObject* __new_CPNorm(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CPNorm(): NULL; }
790 static SHOGUN_BASIC_CLASS CSGObject* __new_CPruneVarSubMean(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CPruneVarSubMean(): NULL; }
791 static SHOGUN_BASIC_CLASS CSGObject* __new_CLogPlusOne(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CLogPlusOne(): NULL; }
793 static SHOGUN_BASIC_CLASS CSGObject* __new_CSumOne(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CSumOne(): NULL; }
794 static SHOGUN_BASIC_CLASS CSGObject* __new_CHomogeneousKernelMap(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CHomogeneousKernelMap(): NULL; }
795 static SHOGUN_BASIC_CLASS CSGObject* __new_CKernelPCA(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CKernelPCA(): NULL; }
796 static SHOGUN_BASIC_CLASS CSGObject* __new_CRescaleFeatures(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CRescaleFeatures(): NULL; }
801 static SHOGUN_BASIC_CLASS CSGObject* __new_CFactorAnalysis(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CFactorAnalysis(): NULL; }
803 static SHOGUN_BASIC_CLASS CSGObject* __new_CHashedDocConverter(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CHashedDocConverter(): NULL; }
805 static SHOGUN_BASIC_CLASS CSGObject* __new_CLaplacianEigenmaps(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CLaplacianEigenmaps(): NULL; }
806 static SHOGUN_BASIC_CLASS CSGObject* __new_CDiffusionMaps(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CDiffusionMaps(): NULL; }
811 static SHOGUN_BASIC_CLASS CSGObject* __new_CIsomap(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CIsomap(): NULL; }
812 static SHOGUN_BASIC_CLASS CSGObject* __new_CFFSep(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CFFSep(): NULL; }
813 static SHOGUN_BASIC_CLASS CSGObject* __new_CFastICA(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CFastICA(): NULL; }
814 static SHOGUN_BASIC_CLASS CSGObject* __new_CUWedgeSep(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CUWedgeSep(): NULL; }
815 static SHOGUN_BASIC_CLASS CSGObject* __new_CSOBI(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CSOBI(): NULL; }
816 static SHOGUN_BASIC_CLASS CSGObject* __new_CJediSep(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CJediSep(): NULL; }
817 static SHOGUN_BASIC_CLASS CSGObject* __new_CJade(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CJade(): NULL; }
818 static SHOGUN_BASIC_CLASS CSGObject* __new_CManifoldSculpting(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CManifoldSculpting(): NULL; }
823 static SHOGUN_BASIC_CLASS CSGObject* __new_CTaskTree(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CTaskTree(): NULL; }
824 static SHOGUN_BASIC_CLASS CSGObject* __new_CNode(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CNode(): NULL; }
825 static SHOGUN_BASIC_CLASS CSGObject* __new_CTaxonomy(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CTaxonomy(): NULL; }
827 static SHOGUN_BASIC_CLASS CSGObject* __new_CLibLinearMTL(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CLibLinearMTL(): NULL; }
836 static SHOGUN_BASIC_CLASS CSGObject* __new_CTaskGroup(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CTaskGroup(): NULL; }
838 static SHOGUN_BASIC_CLASS CSGObject* __new_CTask(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CTask(): NULL; }
839 static SHOGUN_BASIC_CLASS CSGObject* __new_CSquaredHingeLoss(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CSquaredHingeLoss(): NULL; }
840 static SHOGUN_BASIC_CLASS CSGObject* __new_CLogLossMargin(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CLogLossMargin(): NULL; }
841 static SHOGUN_BASIC_CLASS CSGObject* __new_CHingeLoss(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CHingeLoss(): NULL; }
842 static SHOGUN_BASIC_CLASS CSGObject* __new_CLogLoss(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CLogLoss(): NULL; }
843 static SHOGUN_BASIC_CLASS CSGObject* __new_CSmoothHingeLoss(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CSmoothHingeLoss(): NULL; }
844 static SHOGUN_BASIC_CLASS CSGObject* __new_CSquaredLoss(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CSquaredLoss(): NULL; }
845 static SHOGUN_BASIC_CLASS CSGObject* __new_CTron(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CTron(): NULL; }
846 static SHOGUN_BASIC_CLASS CSGObject* __new_CGMM(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CGMM(): NULL; }
847 static SHOGUN_BASIC_CLASS CSGObject* __new_CHierarchical(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CHierarchical(): NULL; }
848 static SHOGUN_BASIC_CLASS CSGObject* __new_CKMeans(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CKMeans(): NULL; }
850 static SHOGUN_BASIC_CLASS CSGObject* __new_CPolyKernel(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CPolyKernel(): NULL; }
851 static SHOGUN_BASIC_CLASS CSGObject* __new_CDiagKernel(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CDiagKernel(): NULL; }
852 static SHOGUN_BASIC_CLASS CSGObject* __new_CLinearKernel(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CLinearKernel(): NULL; }
853 static SHOGUN_BASIC_CLASS CSGObject* __new_CGaussianARDKernel(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CGaussianARDKernel(): NULL; }
854 static SHOGUN_BASIC_CLASS CSGObject* __new_CCombinedKernel(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CCombinedKernel(): NULL; }
857 static SHOGUN_BASIC_CLASS CSGObject* __new_CSigmoidKernel(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CSigmoidKernel(): NULL; }
858 static SHOGUN_BASIC_CLASS CSGObject* __new_CGaussianShiftKernel(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CGaussianShiftKernel(): NULL; }
859 static SHOGUN_BASIC_CLASS CSGObject* __new_CGaussianKernel(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CGaussianKernel(): NULL; }
860 static SHOGUN_BASIC_CLASS CSGObject* __new_CSphericalKernel(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CSphericalKernel(): NULL; }
861 static SHOGUN_BASIC_CLASS CSGObject* __new_CTStudentKernel(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CTStudentKernel(): NULL; }
862 static SHOGUN_BASIC_CLASS CSGObject* __new_CCircularKernel(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CCircularKernel(): NULL; }
863 static SHOGUN_BASIC_CLASS CSGObject* __new_CSplineKernel(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CSplineKernel(): NULL; }
864 static SHOGUN_BASIC_CLASS CSGObject* __new_CWaveletKernel(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CWaveletKernel(): NULL; }
865 static SHOGUN_BASIC_CLASS CSGObject* __new_CAUCKernel(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CAUCKernel(): NULL; }
866 static SHOGUN_BASIC_CLASS CSGObject* __new_CMultiquadricKernel(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CMultiquadricKernel(): NULL; }
867 static SHOGUN_BASIC_CLASS CSGObject* __new_CJensenShannonKernel(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CJensenShannonKernel(): NULL; }
868 static SHOGUN_BASIC_CLASS CSGObject* __new_CLinearARDKernel(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CLinearARDKernel(): NULL; }
869 static SHOGUN_BASIC_CLASS CSGObject* __new_CSNPStringKernel(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CSNPStringKernel(): NULL; }
871 static SHOGUN_BASIC_CLASS CSGObject* __new_CCommWordStringKernel(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CCommWordStringKernel(): NULL; }
876 static SHOGUN_BASIC_CLASS CSGObject* __new_CLinearStringKernel(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CLinearStringKernel(): NULL; }
883 static SHOGUN_BASIC_CLASS CSGObject* __new_CSpectrumRBFKernel(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CSpectrumRBFKernel(): NULL; }
892 static SHOGUN_BASIC_CLASS CSGObject* __new_COligoStringKernel(EPrimitiveType g) { return g == PT_NOT_GENERIC? new COligoStringKernel(): NULL; }
893 static SHOGUN_BASIC_CLASS CSGObject* __new_CDistanceKernel(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CDistanceKernel(): NULL; }
894 static SHOGUN_BASIC_CLASS CSGObject* __new_CConstKernel(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CConstKernel(): NULL; }
895 static SHOGUN_BASIC_CLASS CSGObject* __new_CChi2Kernel(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CChi2Kernel(): NULL; }
896 static SHOGUN_BASIC_CLASS CSGObject* __new_CBesselKernel(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CBesselKernel(): NULL; }
897 static SHOGUN_BASIC_CLASS CSGObject* __new_CPowerKernel(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CPowerKernel(): NULL; }
898 static SHOGUN_BASIC_CLASS CSGObject* __new_CProductKernel(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CProductKernel(): NULL; }
899 static SHOGUN_BASIC_CLASS CSGObject* __new_CPyramidChi2(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CPyramidChi2(): NULL; }
900 static SHOGUN_BASIC_CLASS CSGObject* __new_CCustomKernel(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CCustomKernel(): NULL; }
901 static SHOGUN_BASIC_CLASS CSGObject* __new_CExponentialKernel(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CExponentialKernel(): NULL; }
906 static SHOGUN_BASIC_CLASS CSGObject* __new_CDiceKernelNormalizer(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CDiceKernelNormalizer(): NULL; }
913 static SHOGUN_BASIC_CLASS CSGObject* __new_CANOVAKernel(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CANOVAKernel(): NULL; }
914 static SHOGUN_BASIC_CLASS CSGObject* __new_CWaveKernel(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CWaveKernel(): NULL; }
916 static SHOGUN_BASIC_CLASS CSGObject* __new_CLogKernel(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CLogKernel(): NULL; }
917 static SHOGUN_BASIC_CLASS CSGObject* __new_CCauchyKernel(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CCauchyKernel(): NULL; }
920 {
921  switch (g)
922  {
923  case PT_BOOL: return new CStreamingFileFromSparseFeatures<bool>();
924  case PT_CHAR: return new CStreamingFileFromSparseFeatures<char>();
925  case PT_INT8: return new CStreamingFileFromSparseFeatures<int8_t>();
926  case PT_UINT8: return new CStreamingFileFromSparseFeatures<uint8_t>();
927  case PT_INT16: return new CStreamingFileFromSparseFeatures<int16_t>();
928  case PT_UINT16: return new CStreamingFileFromSparseFeatures<uint16_t>();
929  case PT_INT32: return new CStreamingFileFromSparseFeatures<int32_t>();
930  case PT_UINT32: return new CStreamingFileFromSparseFeatures<uint32_t>();
931  case PT_INT64: return new CStreamingFileFromSparseFeatures<int64_t>();
932  case PT_UINT64: return new CStreamingFileFromSparseFeatures<uint64_t>();
933  case PT_FLOAT32: return new CStreamingFileFromSparseFeatures<float32_t>();
934  case PT_FLOAT64: return new CStreamingFileFromSparseFeatures<float64_t>();
935  case PT_FLOATMAX: return new CStreamingFileFromSparseFeatures<floatmax_t>();
936  case PT_COMPLEX128: return NULL;
937  case PT_SGOBJECT:
938  case PT_UNDEFINED: return NULL;
939  }
940  return NULL;
941 }
943 {
944  switch (g)
945  {
946  case PT_BOOL: return new CStreamingFileFromDenseFeatures<bool>();
947  case PT_CHAR: return new CStreamingFileFromDenseFeatures<char>();
948  case PT_INT8: return new CStreamingFileFromDenseFeatures<int8_t>();
949  case PT_UINT8: return new CStreamingFileFromDenseFeatures<uint8_t>();
950  case PT_INT16: return new CStreamingFileFromDenseFeatures<int16_t>();
951  case PT_UINT16: return new CStreamingFileFromDenseFeatures<uint16_t>();
952  case PT_INT32: return new CStreamingFileFromDenseFeatures<int32_t>();
953  case PT_UINT32: return new CStreamingFileFromDenseFeatures<uint32_t>();
954  case PT_INT64: return new CStreamingFileFromDenseFeatures<int64_t>();
955  case PT_UINT64: return new CStreamingFileFromDenseFeatures<uint64_t>();
956  case PT_FLOAT32: return new CStreamingFileFromDenseFeatures<float32_t>();
957  case PT_FLOAT64: return new CStreamingFileFromDenseFeatures<float64_t>();
958  case PT_FLOATMAX: return new CStreamingFileFromDenseFeatures<floatmax_t>();
959  case PT_COMPLEX128: return NULL;
960  case PT_SGOBJECT:
961  case PT_UNDEFINED: return NULL;
962  }
963  return NULL;
964 }
966 {
967  switch (g)
968  {
969  case PT_BOOL: return new CStreamingFileFromStringFeatures<bool>();
970  case PT_CHAR: return new CStreamingFileFromStringFeatures<char>();
971  case PT_INT8: return new CStreamingFileFromStringFeatures<int8_t>();
972  case PT_UINT8: return new CStreamingFileFromStringFeatures<uint8_t>();
973  case PT_INT16: return new CStreamingFileFromStringFeatures<int16_t>();
974  case PT_UINT16: return new CStreamingFileFromStringFeatures<uint16_t>();
975  case PT_INT32: return new CStreamingFileFromStringFeatures<int32_t>();
976  case PT_UINT32: return new CStreamingFileFromStringFeatures<uint32_t>();
977  case PT_INT64: return new CStreamingFileFromStringFeatures<int64_t>();
978  case PT_UINT64: return new CStreamingFileFromStringFeatures<uint64_t>();
979  case PT_FLOAT32: return new CStreamingFileFromStringFeatures<float32_t>();
980  case PT_FLOAT64: return new CStreamingFileFromStringFeatures<float64_t>();
981  case PT_FLOATMAX: return new CStreamingFileFromStringFeatures<floatmax_t>();
982  case PT_COMPLEX128: return NULL;
983  case PT_SGOBJECT:
984  case PT_UNDEFINED: return NULL;
985  }
986  return NULL;
987 }
989 {
990  switch (g)
991  {
992  case PT_BOOL: return new CParseBuffer<bool>();
993  case PT_CHAR: return new CParseBuffer<char>();
994  case PT_INT8: return new CParseBuffer<int8_t>();
995  case PT_UINT8: return new CParseBuffer<uint8_t>();
996  case PT_INT16: return new CParseBuffer<int16_t>();
997  case PT_UINT16: return new CParseBuffer<uint16_t>();
998  case PT_INT32: return new CParseBuffer<int32_t>();
999  case PT_UINT32: return new CParseBuffer<uint32_t>();
1000  case PT_INT64: return new CParseBuffer<int64_t>();
1001  case PT_UINT64: return new CParseBuffer<uint64_t>();
1002  case PT_FLOAT32: return new CParseBuffer<float32_t>();
1003  case PT_FLOAT64: return new CParseBuffer<float64_t>();
1004  case PT_FLOATMAX: return new CParseBuffer<floatmax_t>();
1005  case PT_COMPLEX128: return NULL;
1006  case PT_SGOBJECT:
1007  case PT_UNDEFINED: return NULL;
1008  }
1009  return NULL;
1010 }
1012 {
1013  switch (g)
1014  {
1015  case PT_BOOL: return new CMemoryMappedFile<bool>();
1016  case PT_CHAR: return new CMemoryMappedFile<char>();
1017  case PT_INT8: return new CMemoryMappedFile<int8_t>();
1018  case PT_UINT8: return new CMemoryMappedFile<uint8_t>();
1019  case PT_INT16: return new CMemoryMappedFile<int16_t>();
1020  case PT_UINT16: return new CMemoryMappedFile<uint16_t>();
1021  case PT_INT32: return new CMemoryMappedFile<int32_t>();
1022  case PT_UINT32: return new CMemoryMappedFile<uint32_t>();
1023  case PT_INT64: return new CMemoryMappedFile<int64_t>();
1024  case PT_UINT64: return new CMemoryMappedFile<uint64_t>();
1025  case PT_FLOAT32: return new CMemoryMappedFile<float32_t>();
1026  case PT_FLOAT64: return new CMemoryMappedFile<float64_t>();
1027  case PT_FLOATMAX: return new CMemoryMappedFile<floatmax_t>();
1028  case PT_COMPLEX128: return NULL;
1029  case PT_SGOBJECT:
1030  case PT_UNDEFINED: return NULL;
1031  }
1032  return NULL;
1033 }
1035 {
1036  switch (g)
1037  {
1038  case PT_BOOL: return new CSimpleFile<bool>();
1039  case PT_CHAR: return new CSimpleFile<char>();
1040  case PT_INT8: return new CSimpleFile<int8_t>();
1041  case PT_UINT8: return new CSimpleFile<uint8_t>();
1042  case PT_INT16: return new CSimpleFile<int16_t>();
1043  case PT_UINT16: return new CSimpleFile<uint16_t>();
1044  case PT_INT32: return new CSimpleFile<int32_t>();
1045  case PT_UINT32: return new CSimpleFile<uint32_t>();
1046  case PT_INT64: return new CSimpleFile<int64_t>();
1047  case PT_UINT64: return new CSimpleFile<uint64_t>();
1048  case PT_FLOAT32: return new CSimpleFile<float32_t>();
1049  case PT_FLOAT64: return new CSimpleFile<float64_t>();
1050  case PT_FLOATMAX: return new CSimpleFile<floatmax_t>();
1051  case PT_COMPLEX128: return NULL;
1052  case PT_SGOBJECT:
1053  case PT_UNDEFINED: return NULL;
1054  }
1055  return NULL;
1056 }
1058 {
1059  switch (g)
1060  {
1061  case PT_BOOL: return new CBinaryStream<bool>();
1062  case PT_CHAR: return new CBinaryStream<char>();
1063  case PT_INT8: return new CBinaryStream<int8_t>();
1064  case PT_UINT8: return new CBinaryStream<uint8_t>();
1065  case PT_INT16: return new CBinaryStream<int16_t>();
1066  case PT_UINT16: return new CBinaryStream<uint16_t>();
1067  case PT_INT32: return new CBinaryStream<int32_t>();
1068  case PT_UINT32: return new CBinaryStream<uint32_t>();
1069  case PT_INT64: return new CBinaryStream<int64_t>();
1070  case PT_UINT64: return new CBinaryStream<uint64_t>();
1071  case PT_FLOAT32: return new CBinaryStream<float32_t>();
1072  case PT_FLOAT64: return new CBinaryStream<float64_t>();
1073  case PT_FLOATMAX: return new CBinaryStream<floatmax_t>();
1074  case PT_COMPLEX128: return NULL;
1075  case PT_SGOBJECT:
1076  case PT_UNDEFINED: return NULL;
1077  }
1078  return NULL;
1079 }
1081 {
1082  switch (g)
1083  {
1084  case PT_BOOL: return new CDynamicArray<bool>();
1085  case PT_CHAR: return new CDynamicArray<char>();
1086  case PT_INT8: return new CDynamicArray<int8_t>();
1087  case PT_UINT8: return new CDynamicArray<uint8_t>();
1088  case PT_INT16: return new CDynamicArray<int16_t>();
1089  case PT_UINT16: return new CDynamicArray<uint16_t>();
1090  case PT_INT32: return new CDynamicArray<int32_t>();
1091  case PT_UINT32: return new CDynamicArray<uint32_t>();
1092  case PT_INT64: return new CDynamicArray<int64_t>();
1093  case PT_UINT64: return new CDynamicArray<uint64_t>();
1094  case PT_FLOAT32: return new CDynamicArray<float32_t>();
1095  case PT_FLOAT64: return new CDynamicArray<float64_t>();
1096  case PT_FLOATMAX: return new CDynamicArray<floatmax_t>();
1097  case PT_COMPLEX128: return NULL;
1098  case PT_SGOBJECT:
1099  case PT_UNDEFINED: return NULL;
1100  }
1101  return NULL;
1102 }
1104 {
1105  switch (g)
1106  {
1107  case PT_BOOL: return new CCache<bool>();
1108  case PT_CHAR: return new CCache<char>();
1109  case PT_INT8: return new CCache<int8_t>();
1110  case PT_UINT8: return new CCache<uint8_t>();
1111  case PT_INT16: return new CCache<int16_t>();
1112  case PT_UINT16: return new CCache<uint16_t>();
1113  case PT_INT32: return new CCache<int32_t>();
1114  case PT_UINT32: return new CCache<uint32_t>();
1115  case PT_INT64: return new CCache<int64_t>();
1116  case PT_UINT64: return new CCache<uint64_t>();
1117  case PT_FLOAT32: return new CCache<float32_t>();
1118  case PT_FLOAT64: return new CCache<float64_t>();
1119  case PT_FLOATMAX: return new CCache<floatmax_t>();
1120  case PT_COMPLEX128: return NULL;
1121  case PT_SGOBJECT:
1122  case PT_UNDEFINED: return NULL;
1123  }
1124  return NULL;
1125 }
1126 static SHOGUN_TEMPLATE_CLASS CSGObject* __new_CSet(EPrimitiveType g)
1127 {
1128  switch (g)
1129  {
1130  case PT_BOOL: return new CSet<bool>();
1131  case PT_CHAR: return new CSet<char>();
1132  case PT_INT8: return new CSet<int8_t>();
1133  case PT_UINT8: return new CSet<uint8_t>();
1134  case PT_INT16: return new CSet<int16_t>();
1135  case PT_UINT16: return new CSet<uint16_t>();
1136  case PT_INT32: return new CSet<int32_t>();
1137  case PT_UINT32: return new CSet<uint32_t>();
1138  case PT_INT64: return new CSet<int64_t>();
1139  case PT_UINT64: return new CSet<uint64_t>();
1140  case PT_FLOAT32: return new CSet<float32_t>();
1141  case PT_FLOAT64: return new CSet<float64_t>();
1142  case PT_FLOATMAX: return new CSet<floatmax_t>();
1143  case PT_COMPLEX128: return NULL;
1144  case PT_SGOBJECT:
1145  case PT_UNDEFINED: return NULL;
1146  }
1147  return NULL;
1148 }
1150 {
1151  switch (g)
1152  {
1153  case PT_BOOL: return new CTreeMachine<bool>();
1154  case PT_CHAR: return new CTreeMachine<char>();
1155  case PT_INT8: return new CTreeMachine<int8_t>();
1156  case PT_UINT8: return new CTreeMachine<uint8_t>();
1157  case PT_INT16: return new CTreeMachine<int16_t>();
1158  case PT_UINT16: return new CTreeMachine<uint16_t>();
1159  case PT_INT32: return new CTreeMachine<int32_t>();
1160  case PT_UINT32: return new CTreeMachine<uint32_t>();
1161  case PT_INT64: return new CTreeMachine<int64_t>();
1162  case PT_UINT64: return new CTreeMachine<uint64_t>();
1163  case PT_FLOAT32: return new CTreeMachine<float32_t>();
1164  case PT_FLOAT64: return new CTreeMachine<float64_t>();
1165  case PT_FLOATMAX: return new CTreeMachine<floatmax_t>();
1166  case PT_COMPLEX128: return NULL;
1167  case PT_SGOBJECT:
1168  case PT_UNDEFINED: return NULL;
1169  }
1170  return NULL;
1171 }
1173 {
1174  switch (g)
1175  {
1176  case PT_BOOL: return new CStreamingDenseFeatures<bool>();
1177  case PT_CHAR: return new CStreamingDenseFeatures<char>();
1178  case PT_INT8: return new CStreamingDenseFeatures<int8_t>();
1179  case PT_UINT8: return new CStreamingDenseFeatures<uint8_t>();
1180  case PT_INT16: return new CStreamingDenseFeatures<int16_t>();
1181  case PT_UINT16: return new CStreamingDenseFeatures<uint16_t>();
1182  case PT_INT32: return new CStreamingDenseFeatures<int32_t>();
1183  case PT_UINT32: return new CStreamingDenseFeatures<uint32_t>();
1184  case PT_INT64: return new CStreamingDenseFeatures<int64_t>();
1185  case PT_UINT64: return new CStreamingDenseFeatures<uint64_t>();
1186  case PT_FLOAT32: return new CStreamingDenseFeatures<float32_t>();
1187  case PT_FLOAT64: return new CStreamingDenseFeatures<float64_t>();
1188  case PT_FLOATMAX: return new CStreamingDenseFeatures<floatmax_t>();
1189  case PT_COMPLEX128: return NULL;
1190  case PT_SGOBJECT:
1191  case PT_UNDEFINED: return NULL;
1192  }
1193  return NULL;
1194 }
1196 {
1197  switch (g)
1198  {
1199  case PT_BOOL: return new CStreamingStringFeatures<bool>();
1200  case PT_CHAR: return new CStreamingStringFeatures<char>();
1201  case PT_INT8: return new CStreamingStringFeatures<int8_t>();
1202  case PT_UINT8: return new CStreamingStringFeatures<uint8_t>();
1203  case PT_INT16: return new CStreamingStringFeatures<int16_t>();
1204  case PT_UINT16: return new CStreamingStringFeatures<uint16_t>();
1205  case PT_INT32: return new CStreamingStringFeatures<int32_t>();
1206  case PT_UINT32: return new CStreamingStringFeatures<uint32_t>();
1207  case PT_INT64: return new CStreamingStringFeatures<int64_t>();
1208  case PT_UINT64: return new CStreamingStringFeatures<uint64_t>();
1209  case PT_FLOAT32: return new CStreamingStringFeatures<float32_t>();
1210  case PT_FLOAT64: return new CStreamingStringFeatures<float64_t>();
1211  case PT_FLOATMAX: return new CStreamingStringFeatures<floatmax_t>();
1212  case PT_COMPLEX128: return NULL;
1213  case PT_SGOBJECT:
1214  case PT_UNDEFINED: return NULL;
1215  }
1216  return NULL;
1217 }
1219 {
1220  switch (g)
1221  {
1222  case PT_BOOL: return new CStreamingHashedSparseFeatures<bool>();
1223  case PT_CHAR: return new CStreamingHashedSparseFeatures<char>();
1224  case PT_INT8: return new CStreamingHashedSparseFeatures<int8_t>();
1225  case PT_UINT8: return new CStreamingHashedSparseFeatures<uint8_t>();
1226  case PT_INT16: return new CStreamingHashedSparseFeatures<int16_t>();
1227  case PT_UINT16: return new CStreamingHashedSparseFeatures<uint16_t>();
1228  case PT_INT32: return new CStreamingHashedSparseFeatures<int32_t>();
1229  case PT_UINT32: return new CStreamingHashedSparseFeatures<uint32_t>();
1230  case PT_INT64: return new CStreamingHashedSparseFeatures<int64_t>();
1231  case PT_UINT64: return new CStreamingHashedSparseFeatures<uint64_t>();
1232  case PT_FLOAT32: return new CStreamingHashedSparseFeatures<float32_t>();
1233  case PT_FLOAT64: return new CStreamingHashedSparseFeatures<float64_t>();
1234  case PT_FLOATMAX: return new CStreamingHashedSparseFeatures<floatmax_t>();
1235  case PT_COMPLEX128: return NULL;
1236  case PT_SGOBJECT:
1237  case PT_UNDEFINED: return NULL;
1238  }
1239  return NULL;
1240 }
1242 {
1243  switch (g)
1244  {
1245  case PT_BOOL: return new CStreamingHashedDenseFeatures<bool>();
1246  case PT_CHAR: return new CStreamingHashedDenseFeatures<char>();
1247  case PT_INT8: return new CStreamingHashedDenseFeatures<int8_t>();
1248  case PT_UINT8: return new CStreamingHashedDenseFeatures<uint8_t>();
1249  case PT_INT16: return new CStreamingHashedDenseFeatures<int16_t>();
1250  case PT_UINT16: return new CStreamingHashedDenseFeatures<uint16_t>();
1251  case PT_INT32: return new CStreamingHashedDenseFeatures<int32_t>();
1252  case PT_UINT32: return new CStreamingHashedDenseFeatures<uint32_t>();
1253  case PT_INT64: return new CStreamingHashedDenseFeatures<int64_t>();
1254  case PT_UINT64: return new CStreamingHashedDenseFeatures<uint64_t>();
1255  case PT_FLOAT32: return new CStreamingHashedDenseFeatures<float32_t>();
1256  case PT_FLOAT64: return new CStreamingHashedDenseFeatures<float64_t>();
1257  case PT_FLOATMAX: return new CStreamingHashedDenseFeatures<floatmax_t>();
1258  case PT_COMPLEX128: return NULL;
1259  case PT_SGOBJECT:
1260  case PT_UNDEFINED: return NULL;
1261  }
1262  return NULL;
1263 }
1265 {
1266  switch (g)
1267  {
1268  case PT_BOOL: return new CStreamingSparseFeatures<bool>();
1269  case PT_CHAR: return new CStreamingSparseFeatures<char>();
1270  case PT_INT8: return new CStreamingSparseFeatures<int8_t>();
1271  case PT_UINT8: return new CStreamingSparseFeatures<uint8_t>();
1272  case PT_INT16: return new CStreamingSparseFeatures<int16_t>();
1273  case PT_UINT16: return new CStreamingSparseFeatures<uint16_t>();
1274  case PT_INT32: return new CStreamingSparseFeatures<int32_t>();
1275  case PT_UINT32: return new CStreamingSparseFeatures<uint32_t>();
1276  case PT_INT64: return new CStreamingSparseFeatures<int64_t>();
1277  case PT_UINT64: return new CStreamingSparseFeatures<uint64_t>();
1278  case PT_FLOAT32: return new CStreamingSparseFeatures<float32_t>();
1279  case PT_FLOAT64: return new CStreamingSparseFeatures<float64_t>();
1280  case PT_FLOATMAX: return new CStreamingSparseFeatures<floatmax_t>();
1281  case PT_COMPLEX128: return NULL;
1282  case PT_SGOBJECT:
1283  case PT_UNDEFINED: return NULL;
1284  }
1285  return NULL;
1286 }
1288 {
1289  switch (g)
1290  {
1291  case PT_BOOL: return new CDenseSubsetFeatures<bool>();
1292  case PT_CHAR: return new CDenseSubsetFeatures<char>();
1293  case PT_INT8: return new CDenseSubsetFeatures<int8_t>();
1294  case PT_UINT8: return new CDenseSubsetFeatures<uint8_t>();
1295  case PT_INT16: return new CDenseSubsetFeatures<int16_t>();
1296  case PT_UINT16: return new CDenseSubsetFeatures<uint16_t>();
1297  case PT_INT32: return new CDenseSubsetFeatures<int32_t>();
1298  case PT_UINT32: return new CDenseSubsetFeatures<uint32_t>();
1299  case PT_INT64: return new CDenseSubsetFeatures<int64_t>();
1300  case PT_UINT64: return new CDenseSubsetFeatures<uint64_t>();
1301  case PT_FLOAT32: return new CDenseSubsetFeatures<float32_t>();
1302  case PT_FLOAT64: return new CDenseSubsetFeatures<float64_t>();
1303  case PT_FLOATMAX: return new CDenseSubsetFeatures<floatmax_t>();
1304  case PT_COMPLEX128: return NULL;
1305  case PT_SGOBJECT:
1306  case PT_UNDEFINED: return NULL;
1307  }
1308  return NULL;
1309 }
1311 {
1312  switch (g)
1313  {
1314  case PT_BOOL: return new CHashedSparseFeatures<bool>();
1315  case PT_CHAR: return new CHashedSparseFeatures<char>();
1316  case PT_INT8: return new CHashedSparseFeatures<int8_t>();
1317  case PT_UINT8: return new CHashedSparseFeatures<uint8_t>();
1318  case PT_INT16: return new CHashedSparseFeatures<int16_t>();
1319  case PT_UINT16: return new CHashedSparseFeatures<uint16_t>();
1320  case PT_INT32: return new CHashedSparseFeatures<int32_t>();
1321  case PT_UINT32: return new CHashedSparseFeatures<uint32_t>();
1322  case PT_INT64: return new CHashedSparseFeatures<int64_t>();
1323  case PT_UINT64: return new CHashedSparseFeatures<uint64_t>();
1324  case PT_FLOAT32: return new CHashedSparseFeatures<float32_t>();
1325  case PT_FLOAT64: return new CHashedSparseFeatures<float64_t>();
1326  case PT_FLOATMAX: return new CHashedSparseFeatures<floatmax_t>();
1327  case PT_COMPLEX128: return NULL;
1328  case PT_SGOBJECT:
1329  case PT_UNDEFINED: return NULL;
1330  }
1331  return NULL;
1332 }
1334 {
1335  switch (g)
1336  {
1337  case PT_BOOL: return new CDenseFeatures<bool>();
1338  case PT_CHAR: return new CDenseFeatures<char>();
1339  case PT_INT8: return new CDenseFeatures<int8_t>();
1340  case PT_UINT8: return new CDenseFeatures<uint8_t>();
1341  case PT_INT16: return new CDenseFeatures<int16_t>();
1342  case PT_UINT16: return new CDenseFeatures<uint16_t>();
1343  case PT_INT32: return new CDenseFeatures<int32_t>();
1344  case PT_UINT32: return new CDenseFeatures<uint32_t>();
1345  case PT_INT64: return new CDenseFeatures<int64_t>();
1346  case PT_UINT64: return new CDenseFeatures<uint64_t>();
1347  case PT_FLOAT32: return new CDenseFeatures<float32_t>();
1348  case PT_FLOAT64: return new CDenseFeatures<float64_t>();
1349  case PT_FLOATMAX: return new CDenseFeatures<floatmax_t>();
1350  case PT_COMPLEX128: return NULL;
1351  case PT_SGOBJECT:
1352  case PT_UNDEFINED: return NULL;
1353  }
1354  return NULL;
1355 }
1357 {
1358  switch (g)
1359  {
1360  case PT_BOOL: return new CSparseFeatures<bool>();
1361  case PT_CHAR: return new CSparseFeatures<char>();
1362  case PT_INT8: return new CSparseFeatures<int8_t>();
1363  case PT_UINT8: return new CSparseFeatures<uint8_t>();
1364  case PT_INT16: return new CSparseFeatures<int16_t>();
1365  case PT_UINT16: return new CSparseFeatures<uint16_t>();
1366  case PT_INT32: return new CSparseFeatures<int32_t>();
1367  case PT_UINT32: return new CSparseFeatures<uint32_t>();
1368  case PT_INT64: return new CSparseFeatures<int64_t>();
1369  case PT_UINT64: return new CSparseFeatures<uint64_t>();
1370  case PT_FLOAT32: return new CSparseFeatures<float32_t>();
1371  case PT_FLOAT64: return new CSparseFeatures<float64_t>();
1372  case PT_FLOATMAX: return new CSparseFeatures<floatmax_t>();
1373  case PT_COMPLEX128: return NULL;
1374  case PT_SGOBJECT:
1375  case PT_UNDEFINED: return NULL;
1376  }
1377  return NULL;
1378 }
1380 {
1381  switch (g)
1382  {
1383  case PT_BOOL: return new CMatrixFeatures<bool>();
1384  case PT_CHAR: return new CMatrixFeatures<char>();
1385  case PT_INT8: return new CMatrixFeatures<int8_t>();
1386  case PT_UINT8: return new CMatrixFeatures<uint8_t>();
1387  case PT_INT16: return new CMatrixFeatures<int16_t>();
1388  case PT_UINT16: return new CMatrixFeatures<uint16_t>();
1389  case PT_INT32: return new CMatrixFeatures<int32_t>();
1390  case PT_UINT32: return new CMatrixFeatures<uint32_t>();
1391  case PT_INT64: return new CMatrixFeatures<int64_t>();
1392  case PT_UINT64: return new CMatrixFeatures<uint64_t>();
1393  case PT_FLOAT32: return new CMatrixFeatures<float32_t>();
1394  case PT_FLOAT64: return new CMatrixFeatures<float64_t>();
1395  case PT_FLOATMAX: return new CMatrixFeatures<floatmax_t>();
1396  case PT_COMPLEX128: return NULL;
1397  case PT_SGOBJECT:
1398  case PT_UNDEFINED: return NULL;
1399  }
1400  return NULL;
1401 }
1403 {
1404  switch (g)
1405  {
1406  case PT_BOOL: return new CHashedDenseFeatures<bool>();
1407  case PT_CHAR: return new CHashedDenseFeatures<char>();
1408  case PT_INT8: return new CHashedDenseFeatures<int8_t>();
1409  case PT_UINT8: return new CHashedDenseFeatures<uint8_t>();
1410  case PT_INT16: return new CHashedDenseFeatures<int16_t>();
1411  case PT_UINT16: return new CHashedDenseFeatures<uint16_t>();
1412  case PT_INT32: return new CHashedDenseFeatures<int32_t>();
1413  case PT_UINT32: return new CHashedDenseFeatures<uint32_t>();
1414  case PT_INT64: return new CHashedDenseFeatures<int64_t>();
1415  case PT_UINT64: return new CHashedDenseFeatures<uint64_t>();
1416  case PT_FLOAT32: return new CHashedDenseFeatures<float32_t>();
1417  case PT_FLOAT64: return new CHashedDenseFeatures<float64_t>();
1418  case PT_FLOATMAX: return new CHashedDenseFeatures<floatmax_t>();
1419  case PT_COMPLEX128: return NULL;
1420  case PT_SGOBJECT:
1421  case PT_UNDEFINED: return NULL;
1422  }
1423  return NULL;
1424 }
1426 {
1427  switch (g)
1428  {
1429  case PT_BOOL: return new CStringFeatures<bool>();
1430  case PT_CHAR: return new CStringFeatures<char>();
1431  case PT_INT8: return new CStringFeatures<int8_t>();
1432  case PT_UINT8: return new CStringFeatures<uint8_t>();
1433  case PT_INT16: return new CStringFeatures<int16_t>();
1434  case PT_UINT16: return new CStringFeatures<uint16_t>();
1435  case PT_INT32: return new CStringFeatures<int32_t>();
1436  case PT_UINT32: return new CStringFeatures<uint32_t>();
1437  case PT_INT64: return new CStringFeatures<int64_t>();
1438  case PT_UINT64: return new CStringFeatures<uint64_t>();
1439  case PT_FLOAT32: return new CStringFeatures<float32_t>();
1440  case PT_FLOAT64: return new CStringFeatures<float64_t>();
1441  case PT_FLOATMAX: return new CStringFeatures<floatmax_t>();
1442  case PT_COMPLEX128: return NULL;
1443  case PT_SGOBJECT:
1444  case PT_UNDEFINED: return NULL;
1445  }
1446  return NULL;
1447 }
1449 {
1450  switch (g)
1451  {
1452  case PT_BOOL: return new CStringFileFeatures<bool>();
1453  case PT_CHAR: return new CStringFileFeatures<char>();
1454  case PT_INT8: return new CStringFileFeatures<int8_t>();
1455  case PT_UINT8: return new CStringFileFeatures<uint8_t>();
1456  case PT_INT16: return new CStringFileFeatures<int16_t>();
1457  case PT_UINT16: return new CStringFileFeatures<uint16_t>();
1458  case PT_INT32: return new CStringFileFeatures<int32_t>();
1459  case PT_UINT32: return new CStringFileFeatures<uint32_t>();
1460  case PT_INT64: return new CStringFileFeatures<int64_t>();
1461  case PT_UINT64: return new CStringFileFeatures<uint64_t>();
1462  case PT_FLOAT32: return new CStringFileFeatures<float32_t>();
1463  case PT_FLOAT64: return new CStringFileFeatures<float64_t>();
1464  case PT_FLOATMAX: return new CStringFileFeatures<floatmax_t>();
1465  case PT_COMPLEX128: return NULL;
1466  case PT_SGOBJECT:
1467  case PT_UNDEFINED: return NULL;
1468  }
1469  return NULL;
1470 }
1472 {
1473  switch (g)
1474  {
1475  case PT_BOOL: return new CDecompressString<bool>();
1476  case PT_CHAR: return new CDecompressString<char>();
1477  case PT_INT8: return new CDecompressString<int8_t>();
1478  case PT_UINT8: return new CDecompressString<uint8_t>();
1479  case PT_INT16: return new CDecompressString<int16_t>();
1480  case PT_UINT16: return new CDecompressString<uint16_t>();
1481  case PT_INT32: return new CDecompressString<int32_t>();
1482  case PT_UINT32: return new CDecompressString<uint32_t>();
1483  case PT_INT64: return new CDecompressString<int64_t>();
1484  case PT_UINT64: return new CDecompressString<uint64_t>();
1485  case PT_FLOAT32: return new CDecompressString<float32_t>();
1486  case PT_FLOAT64: return new CDecompressString<float64_t>();
1487  case PT_FLOATMAX: return new CDecompressString<floatmax_t>();
1488  case PT_COMPLEX128: return NULL;
1489  case PT_SGOBJECT:
1490  case PT_UNDEFINED: return NULL;
1491  }
1492  return NULL;
1493 }
1495 {
1496  switch (g)
1497  {
1498  case PT_BOOL: return new CDenseMatrixOperator<bool>();
1499  case PT_CHAR: return new CDenseMatrixOperator<char>();
1500  case PT_INT8: return new CDenseMatrixOperator<int8_t>();
1501  case PT_UINT8: return new CDenseMatrixOperator<uint8_t>();
1502  case PT_INT16: return new CDenseMatrixOperator<int16_t>();
1503  case PT_UINT16: return new CDenseMatrixOperator<uint16_t>();
1504  case PT_INT32: return new CDenseMatrixOperator<int32_t>();
1505  case PT_UINT32: return new CDenseMatrixOperator<uint32_t>();
1506  case PT_INT64: return new CDenseMatrixOperator<int64_t>();
1507  case PT_UINT64: return new CDenseMatrixOperator<uint64_t>();
1508  case PT_FLOAT32: return new CDenseMatrixOperator<float32_t>();
1509  case PT_FLOAT64: return new CDenseMatrixOperator<float64_t>();
1510  case PT_FLOATMAX: return new CDenseMatrixOperator<floatmax_t>();
1511  case PT_COMPLEX128: return new CDenseMatrixOperator<complex128_t>();
1512  case PT_SGOBJECT:
1513  case PT_UNDEFINED: return NULL;
1514  }
1515  return NULL;
1516 }
1518 {
1519  switch (g)
1520  {
1521  case PT_BOOL: return new CSparseMatrixOperator<bool>();
1522  case PT_CHAR: return new CSparseMatrixOperator<char>();
1523  case PT_INT8: return new CSparseMatrixOperator<int8_t>();
1524  case PT_UINT8: return new CSparseMatrixOperator<uint8_t>();
1525  case PT_INT16: return new CSparseMatrixOperator<int16_t>();
1526  case PT_UINT16: return new CSparseMatrixOperator<uint16_t>();
1527  case PT_INT32: return new CSparseMatrixOperator<int32_t>();
1528  case PT_UINT32: return new CSparseMatrixOperator<uint32_t>();
1529  case PT_INT64: return new CSparseMatrixOperator<int64_t>();
1530  case PT_UINT64: return new CSparseMatrixOperator<uint64_t>();
1531  case PT_FLOAT32: return new CSparseMatrixOperator<float32_t>();
1532  case PT_FLOAT64: return new CSparseMatrixOperator<float64_t>();
1533  case PT_FLOATMAX: return new CSparseMatrixOperator<floatmax_t>();
1534  case PT_COMPLEX128: return new CSparseMatrixOperator<complex128_t>();
1535  case PT_SGOBJECT:
1536  case PT_UNDEFINED: return NULL;
1537  }
1538  return NULL;
1539 }
1541 {
1542  switch (g)
1543  {
1544  case PT_BOOL: return new CScalarResult<bool>();
1545  case PT_CHAR: return new CScalarResult<char>();
1546  case PT_INT8: return new CScalarResult<int8_t>();
1547  case PT_UINT8: return new CScalarResult<uint8_t>();
1548  case PT_INT16: return new CScalarResult<int16_t>();
1549  case PT_UINT16: return new CScalarResult<uint16_t>();
1550  case PT_INT32: return new CScalarResult<int32_t>();
1551  case PT_UINT32: return new CScalarResult<uint32_t>();
1552  case PT_INT64: return new CScalarResult<int64_t>();
1553  case PT_UINT64: return new CScalarResult<uint64_t>();
1554  case PT_FLOAT32: return new CScalarResult<float32_t>();
1555  case PT_FLOAT64: return new CScalarResult<float64_t>();
1556  case PT_FLOATMAX: return new CScalarResult<floatmax_t>();
1557  case PT_COMPLEX128: return new CScalarResult<complex128_t>();
1558  case PT_SGOBJECT:
1559  case PT_UNDEFINED: return NULL;
1560  }
1561  return NULL;
1562 }
1564 {
1565  switch (g)
1566  {
1567  case PT_BOOL: return new CVectorResult<bool>();
1568  case PT_CHAR: return new CVectorResult<char>();
1569  case PT_INT8: return new CVectorResult<int8_t>();
1570  case PT_UINT8: return new CVectorResult<uint8_t>();
1571  case PT_INT16: return new CVectorResult<int16_t>();
1572  case PT_UINT16: return new CVectorResult<uint16_t>();
1573  case PT_INT32: return new CVectorResult<int32_t>();
1574  case PT_UINT32: return new CVectorResult<uint32_t>();
1575  case PT_INT64: return new CVectorResult<int64_t>();
1576  case PT_UINT64: return new CVectorResult<uint64_t>();
1577  case PT_FLOAT32: return new CVectorResult<float32_t>();
1578  case PT_FLOAT64: return new CVectorResult<float64_t>();
1579  case PT_FLOATMAX: return new CVectorResult<floatmax_t>();
1580  case PT_COMPLEX128: return new CVectorResult<complex128_t>();
1581  case PT_SGOBJECT:
1582  case PT_UNDEFINED: return NULL;
1583  }
1584  return NULL;
1585 }
1587 {
1588  switch (g)
1589  {
1590  case PT_BOOL: return new CStoreScalarAggregator<bool>();
1591  case PT_CHAR: return new CStoreScalarAggregator<char>();
1592  case PT_INT8: return new CStoreScalarAggregator<int8_t>();
1593  case PT_UINT8: return new CStoreScalarAggregator<uint8_t>();
1594  case PT_INT16: return new CStoreScalarAggregator<int16_t>();
1595  case PT_UINT16: return new CStoreScalarAggregator<uint16_t>();
1596  case PT_INT32: return new CStoreScalarAggregator<int32_t>();
1597  case PT_UINT32: return new CStoreScalarAggregator<uint32_t>();
1598  case PT_INT64: return new CStoreScalarAggregator<int64_t>();
1599  case PT_UINT64: return new CStoreScalarAggregator<uint64_t>();
1600  case PT_FLOAT32: return new CStoreScalarAggregator<float32_t>();
1601  case PT_FLOAT64: return new CStoreScalarAggregator<float64_t>();
1602  case PT_FLOATMAX: return new CStoreScalarAggregator<floatmax_t>();
1603  case PT_COMPLEX128: return new CStoreScalarAggregator<complex128_t>();
1604  case PT_SGOBJECT:
1605  case PT_UNDEFINED: return NULL;
1606  }
1607  return NULL;
1608 }
1609 typedef CSGObject* (*new_sgserializable_t)(EPrimitiveType generic);
1610 #ifndef DOXYGEN_SHOULD_SKIP_THIS
1611 typedef struct
1612 {
1613  const char* m_class_name;
1614  new_sgserializable_t m_new_sgserializable;
1615 } class_list_entry_t;
1616 #endif
1617 
1618 static class_list_entry_t class_list[] = {
1619 {"LatentLabels", SHOGUN_BASIC_CLASS __new_CLatentLabels},
1620 {"MulticlassMultipleOutputLabels", SHOGUN_BASIC_CLASS __new_CMulticlassMultipleOutputLabels},
1621 {"BinaryLabels", SHOGUN_BASIC_CLASS __new_CBinaryLabels},
1622 {"FactorGraphObservation", SHOGUN_BASIC_CLASS __new_CFactorGraphObservation},
1623 {"FactorGraphLabels", SHOGUN_BASIC_CLASS __new_CFactorGraphLabels},
1624 {"StructuredLabels", SHOGUN_BASIC_CLASS __new_CStructuredLabels},
1625 {"RegressionLabels", SHOGUN_BASIC_CLASS __new_CRegressionLabels},
1626 {"MulticlassLabels", SHOGUN_BASIC_CLASS __new_CMulticlassLabels},
1627 {"LabelsFactory", SHOGUN_BASIC_CLASS __new_CLabelsFactory},
1628 {"SegmentLoss", SHOGUN_BASIC_CLASS __new_CSegmentLoss},
1629 {"MAPInference", SHOGUN_BASIC_CLASS __new_CMAPInference},
1630 {"HMSVMModel", SHOGUN_BASIC_CLASS __new_CHMSVMModel},
1631 {"FactorGraph", SHOGUN_BASIC_CLASS __new_CFactorGraph},
1632 {"DynProg", SHOGUN_BASIC_CLASS __new_CDynProg},
1633 {"DisjointSet", SHOGUN_BASIC_CLASS __new_CDisjointSet},
1634 {"Sequence", SHOGUN_BASIC_CLASS __new_CSequence},
1635 {"SequenceLabels", SHOGUN_BASIC_CLASS __new_CSequenceLabels},
1636 {"CCSOSVM", SHOGUN_BASIC_CLASS __new_CCCSOSVM},
1637 {"MulticlassModel", SHOGUN_BASIC_CLASS __new_CMulticlassModel},
1638 {"PlifArray", SHOGUN_BASIC_CLASS __new_CPlifArray},
1639 {"FactorType", SHOGUN_BASIC_CLASS __new_CFactorType},
1640 {"TableFactorType", SHOGUN_BASIC_CLASS __new_CTableFactorType},
1641 {"IntronList", SHOGUN_BASIC_CLASS __new_CIntronList},
1642 {"MulticlassSOLabels", SHOGUN_BASIC_CLASS __new_CMulticlassSOLabels},
1643 {"TwoStateModel", SHOGUN_BASIC_CLASS __new_CTwoStateModel},
1644 {"DualLibQPBMSOSVM", SHOGUN_BASIC_CLASS __new_CDualLibQPBMSOSVM},
1645 {"PlifMatrix", SHOGUN_BASIC_CLASS __new_CPlifMatrix},
1646 {"SOSVMHelper", SHOGUN_BASIC_CLASS __new_CSOSVMHelper},
1647 {"FactorDataSource", SHOGUN_BASIC_CLASS __new_CFactorDataSource},
1648 {"Factor", SHOGUN_BASIC_CLASS __new_CFactor},
1649 {"FactorGraphModel", SHOGUN_BASIC_CLASS __new_CFactorGraphModel},
1651 {"StochasticSOSVM", SHOGUN_BASIC_CLASS __new_CStochasticSOSVM},
1652 {"IOBuffer", SHOGUN_BASIC_CLASS __new_CIOBuffer},
1653 {"StreamingFileFromFeatures", SHOGUN_BASIC_CLASS __new_CStreamingFileFromFeatures},
1654 {"StreamingFile", SHOGUN_BASIC_CLASS __new_CStreamingFile},
1655 {"StreamingVwFile", SHOGUN_BASIC_CLASS __new_CStreamingVwFile},
1656 {"StreamingAsciiFile", SHOGUN_BASIC_CLASS __new_CStreamingAsciiFile},
1657 {"StreamingVwCacheFile", SHOGUN_BASIC_CLASS __new_CStreamingVwCacheFile},
1658 {"LibSVMFile", SHOGUN_BASIC_CLASS __new_CLibSVMFile},
1659 {"ProtobufFile", SHOGUN_BASIC_CLASS __new_CProtobufFile},
1660 {"LineReader", SHOGUN_BASIC_CLASS __new_CLineReader},
1661 {"SerializableAsciiFile", SHOGUN_BASIC_CLASS __new_CSerializableAsciiFile},
1662 {"CSVFile", SHOGUN_BASIC_CLASS __new_CCSVFile},
1663 {"BinaryFile", SHOGUN_BASIC_CLASS __new_CBinaryFile},
1664 {"Parser", SHOGUN_BASIC_CLASS __new_CParser},
1665 {"SparseInverseCovariance", SHOGUN_BASIC_CLASS __new_CSparseInverseCovariance},
1666 {"Integration", SHOGUN_BASIC_CLASS __new_CIntegration},
1668 {"FFDiag", SHOGUN_BASIC_CLASS __new_CFFDiag},
1669 {"UWedge", SHOGUN_BASIC_CLASS __new_CUWedge},
1670 {"JADiagOrth", SHOGUN_BASIC_CLASS __new_CJADiagOrth},
1671 {"QDiag", SHOGUN_BASIC_CLASS __new_CQDiag},
1672 {"JADiag", SHOGUN_BASIC_CLASS __new_CJADiag},
1673 {"JediDiag", SHOGUN_BASIC_CLASS __new_CJediDiag},
1674 {"Random", SHOGUN_BASIC_CLASS __new_CRandom},
1675 {"JacobiEllipticFunctions", SHOGUN_BASIC_CLASS __new_CJacobiEllipticFunctions},
1676 {"NormalSampler", SHOGUN_BASIC_CLASS __new_CNormalSampler},
1677 {"IndividualJobResultAggregator", SHOGUN_BASIC_CLASS __new_CIndividualJobResultAggregator},
1678 {"DenseExactLogJob", SHOGUN_BASIC_CLASS __new_CDenseExactLogJob},
1679 {"RationalApproximationIndividualJob", SHOGUN_BASIC_CLASS __new_CRationalApproximationIndividualJob},
1680 {"RationalApproximationCGMJob", SHOGUN_BASIC_CLASS __new_CRationalApproximationCGMJob},
1681 {"LogRationalApproximationIndividual", SHOGUN_BASIC_CLASS __new_CLogRationalApproximationIndividual},
1682 {"DenseMatrixExactLog", SHOGUN_BASIC_CLASS __new_CDenseMatrixExactLog},
1683 {"LogRationalApproximationCGM", SHOGUN_BASIC_CLASS __new_CLogRationalApproximationCGM},
1684 {"LogDetEstimator", SHOGUN_BASIC_CLASS __new_CLogDetEstimator},
1685 {"LanczosEigenSolver", SHOGUN_BASIC_CLASS __new_CLanczosEigenSolver},
1686 {"DirectEigenSolver", SHOGUN_BASIC_CLASS __new_CDirectEigenSolver},
1687 {"DirectSparseLinearSolver", SHOGUN_BASIC_CLASS __new_CDirectSparseLinearSolver},
1688 {"DirectLinearSolverComplex", SHOGUN_BASIC_CLASS __new_CDirectLinearSolverComplex},
1689 {"ConjugateGradientSolver", SHOGUN_BASIC_CLASS __new_CConjugateGradientSolver},
1690 {"Statistics", SHOGUN_BASIC_CLASS __new_CStatistics},
1691 {"MeanRule", SHOGUN_BASIC_CLASS __new_CMeanRule},
1692 {"MajorityVote", SHOGUN_BASIC_CLASS __new_CMajorityVote},
1693 {"WeightedMajorityVote", SHOGUN_BASIC_CLASS __new_CWeightedMajorityVote},
1695 {"MKLMulticlass", SHOGUN_BASIC_CLASS __new_CMKLMulticlass},
1696 {"MKLOneClass", SHOGUN_BASIC_CLASS __new_CMKLOneClass},
1697 {"MKLClassification", SHOGUN_BASIC_CLASS __new_CMKLClassification},
1698 {"AveragedPerceptron", SHOGUN_BASIC_CLASS __new_CAveragedPerceptron},
1699 {"PluginEstimate", SHOGUN_BASIC_CLASS __new_CPluginEstimate},
1700 {"NearestCentroid", SHOGUN_BASIC_CLASS __new_CNearestCentroid},
1701 {"GNPPLib", SHOGUN_BASIC_CLASS __new_CGNPPLib},
1702 {"WDSVMOcas", SHOGUN_BASIC_CLASS __new_CWDSVMOcas},
1703 {"SVMSGD", SHOGUN_BASIC_CLASS __new_CSVMSGD},
1704 {"LibSVM", SHOGUN_BASIC_CLASS __new_CLibSVM},
1705 {"OnlineLibLinear", SHOGUN_BASIC_CLASS __new_COnlineLibLinear},
1706 {"GNPPSVM", SHOGUN_BASIC_CLASS __new_CGNPPSVM},
1707 {"MPDSVM", SHOGUN_BASIC_CLASS __new_CMPDSVM},
1708 {"NewtonSVM", SHOGUN_BASIC_CLASS __new_CNewtonSVM},
1709 {"SGDQN", SHOGUN_BASIC_CLASS __new_CSGDQN},
1711 {"LibLinear", SHOGUN_BASIC_CLASS __new_CLibLinear},
1712 {"QPBSVMLib", SHOGUN_BASIC_CLASS __new_CQPBSVMLib},
1713 {"OnlineSVMSGD", SHOGUN_BASIC_CLASS __new_COnlineSVMSGD},
1714 {"SVMLin", SHOGUN_BASIC_CLASS __new_CSVMLin},
1715 {"SVMOcas", SHOGUN_BASIC_CLASS __new_CSVMOcas},
1716 {"LibSVMOneClass", SHOGUN_BASIC_CLASS __new_CLibSVMOneClass},
1717 {"GPBTSVM", SHOGUN_BASIC_CLASS __new_CGPBTSVM},
1718 {"FeatureBlockLogisticRegression", SHOGUN_BASIC_CLASS __new_CFeatureBlockLogisticRegression},
1719 {"VwNativeCacheWriter", SHOGUN_BASIC_CLASS __new_CVwNativeCacheWriter},
1720 {"VwNativeCacheReader", SHOGUN_BASIC_CLASS __new_CVwNativeCacheReader},
1721 {"VwRegressor", SHOGUN_BASIC_CLASS __new_CVwRegressor},
1722 {"VowpalWabbit", SHOGUN_BASIC_CLASS __new_CVowpalWabbit},
1723 {"VwEnvironment", SHOGUN_BASIC_CLASS __new_CVwEnvironment},
1724 {"VwNonAdaptiveLearner", SHOGUN_BASIC_CLASS __new_CVwNonAdaptiveLearner},
1725 {"VwAdaptiveLearner", SHOGUN_BASIC_CLASS __new_CVwAdaptiveLearner},
1726 {"VwParser", SHOGUN_BASIC_CLASS __new_CVwParser},
1727 {"GaussianProcessBinaryClassification", SHOGUN_BASIC_CLASS __new_CGaussianProcessBinaryClassification},
1728 {"Perceptron", SHOGUN_BASIC_CLASS __new_CPerceptron},
1729 {"MMDKernelSelectionCombOpt", SHOGUN_BASIC_CLASS __new_CMMDKernelSelectionCombOpt},
1730 {"MMDKernelSelectionMax", SHOGUN_BASIC_CLASS __new_CMMDKernelSelectionMax},
1731 {"KernelMeanMatching", SHOGUN_BASIC_CLASS __new_CKernelMeanMatching},
1732 {"MMDKernelSelectionOpt", SHOGUN_BASIC_CLASS __new_CMMDKernelSelectionOpt},
1734 {"MMDKernelSelectionCombMaxL2", SHOGUN_BASIC_CLASS __new_CMMDKernelSelectionCombMaxL2},
1735 {"MMDKernelSelectionMedian", SHOGUN_BASIC_CLASS __new_CMMDKernelSelectionMedian},
1736 {"LinearTimeMMD", SHOGUN_BASIC_CLASS __new_CLinearTimeMMD},
1737 {"QuadraticTimeMMD", SHOGUN_BASIC_CLASS __new_CQuadraticTimeMMD},
1738 {"NGramTokenizer", SHOGUN_BASIC_CLASS __new_CNGramTokenizer},
1739 {"BitString", SHOGUN_BASIC_CLASS __new_CBitString},
1740 {"JobResult", SHOGUN_BASIC_CLASS __new_CJobResult},
1741 {"SerialComputationEngine", SHOGUN_BASIC_CLASS __new_CSerialComputationEngine},
1743 {"DynamicObjectArray", SHOGUN_BASIC_CLASS __new_CDynamicObjectArray},
1744 {"CircularBuffer", SHOGUN_BASIC_CLASS __new_CCircularBuffer},
1746 {"IndexBlockGroup", SHOGUN_BASIC_CLASS __new_CIndexBlockGroup},
1747 {"Compressor", SHOGUN_BASIC_CLASS __new_CCompressor},
1748 {"DelimiterTokenizer", SHOGUN_BASIC_CLASS __new_CDelimiterTokenizer},
1749 {"Signal", SHOGUN_BASIC_CLASS __new_CSignal},
1750 {"ListElement", SHOGUN_BASIC_CLASS __new_CListElement},
1753 {"IndexBlockTree", SHOGUN_BASIC_CLASS __new_CIndexBlockTree},
1754 {"IndexBlock", SHOGUN_BASIC_CLASS __new_CIndexBlock},
1755 {"StructuredData", SHOGUN_BASIC_CLASS __new_CStructuredData},
1756 {"Histogram", SHOGUN_BASIC_CLASS __new_CHistogram},
1757 {"PositionalPWM", SHOGUN_BASIC_CLASS __new_CPositionalPWM},
1758 {"GaussianDistribution", SHOGUN_BASIC_CLASS __new_CGaussianDistribution},
1761 {"Gaussian", SHOGUN_BASIC_CLASS __new_CGaussian},
1762 {"LinearHMM", SHOGUN_BASIC_CLASS __new_CLinearHMM},
1764 {"LMNNStatistics", SHOGUN_BASIC_CLASS __new_CLMNNStatistics},
1765 {"MulticlassSVM", SHOGUN_BASIC_CLASS __new_CMulticlassSVM},
1766 {"MulticlassTreeGuidedLogisticRegression", SHOGUN_BASIC_CLASS __new_CMulticlassTreeGuidedLogisticRegression},
1767 {"MCLDA", SHOGUN_BASIC_CLASS __new_CMCLDA},
1768 {"BalancedConditionalProbabilityTree", SHOGUN_BASIC_CLASS __new_CBalancedConditionalProbabilityTree},
1769 {"RandomConditionalProbabilityTree", SHOGUN_BASIC_CLASS __new_CRandomConditionalProbabilityTree},
1770 {"RelaxedTree", SHOGUN_BASIC_CLASS __new_CRelaxedTree},
1771 {"ThresholdRejectionStrategy", SHOGUN_BASIC_CLASS __new_CThresholdRejectionStrategy},
1772 {"DixonQTestRejectionStrategy", SHOGUN_BASIC_CLASS __new_CDixonQTestRejectionStrategy},
1773 {"ECOCRandomSparseEncoder", SHOGUN_BASIC_CLASS __new_CECOCRandomSparseEncoder},
1774 {"ECOCDiscriminantEncoder", SHOGUN_BASIC_CLASS __new_CECOCDiscriminantEncoder},
1775 {"ECOCForestEncoder", SHOGUN_BASIC_CLASS __new_CECOCForestEncoder},
1776 {"ECOCOVREncoder", SHOGUN_BASIC_CLASS __new_CECOCOVREncoder},
1777 {"ECOCEDDecoder", SHOGUN_BASIC_CLASS __new_CECOCEDDecoder},
1778 {"ECOCHDDecoder", SHOGUN_BASIC_CLASS __new_CECOCHDDecoder},
1779 {"ECOCStrategy", SHOGUN_BASIC_CLASS __new_CECOCStrategy},
1780 {"ECOCOVOEncoder", SHOGUN_BASIC_CLASS __new_CECOCOVOEncoder},
1781 {"ECOCRandomDenseEncoder", SHOGUN_BASIC_CLASS __new_CECOCRandomDenseEncoder},
1782 {"ECOCIHDDecoder", SHOGUN_BASIC_CLASS __new_CECOCIHDDecoder},
1783 {"ECOCAEDDecoder", SHOGUN_BASIC_CLASS __new_CECOCAEDDecoder},
1784 {"ECOCLLBDecoder", SHOGUN_BASIC_CLASS __new_CECOCLLBDecoder},
1785 {"GaussianNaiveBayes", SHOGUN_BASIC_CLASS __new_CGaussianNaiveBayes},
1786 {"GMNPSVM", SHOGUN_BASIC_CLASS __new_CGMNPSVM},
1787 {"MulticlassLibSVM", SHOGUN_BASIC_CLASS __new_CMulticlassLibSVM},
1788 {"MulticlassOCAS", SHOGUN_BASIC_CLASS __new_CMulticlassOCAS},
1789 {"ScatterSVM", SHOGUN_BASIC_CLASS __new_CScatterSVM},
1790 {"MulticlassOneVsRestStrategy", SHOGUN_BASIC_CLASS __new_CMulticlassOneVsRestStrategy},
1791 {"MulticlassLogisticRegression", SHOGUN_BASIC_CLASS __new_CMulticlassLogisticRegression},
1792 {"MulticlassLibLinear", SHOGUN_BASIC_CLASS __new_CMulticlassLibLinear},
1794 {"MulticlassOneVsOneStrategy", SHOGUN_BASIC_CLASS __new_CMulticlassOneVsOneStrategy},
1796 {"ShareBoost", SHOGUN_BASIC_CLASS __new_CShareBoost},
1797 {"LaRank", SHOGUN_BASIC_CLASS __new_CLaRank},
1798 {"GMNPLib", SHOGUN_BASIC_CLASS __new_CGMNPLib},
1799 {"CustomMahalanobisDistance", SHOGUN_BASIC_CLASS __new_CCustomMahalanobisDistance},
1800 {"ManhattanMetric", SHOGUN_BASIC_CLASS __new_CManhattanMetric},
1801 {"CanberraWordDistance", SHOGUN_BASIC_CLASS __new_CCanberraWordDistance},
1802 {"ManhattanWordDistance", SHOGUN_BASIC_CLASS __new_CManhattanWordDistance},
1803 {"KernelDistance", SHOGUN_BASIC_CLASS __new_CKernelDistance},
1804 {"SparseEuclideanDistance", SHOGUN_BASIC_CLASS __new_CSparseEuclideanDistance},
1805 {"TanimotoDistance", SHOGUN_BASIC_CLASS __new_CTanimotoDistance},
1806 {"CustomDistance", SHOGUN_BASIC_CLASS __new_CCustomDistance},
1807 {"MinkowskiMetric", SHOGUN_BASIC_CLASS __new_CMinkowskiMetric},
1808 {"JensenMetric", SHOGUN_BASIC_CLASS __new_CJensenMetric},
1809 {"MahalanobisDistance", SHOGUN_BASIC_CLASS __new_CMahalanobisDistance},
1810 {"CosineDistance", SHOGUN_BASIC_CLASS __new_CCosineDistance},
1811 {"AttenuatedEuclideanDistance", SHOGUN_BASIC_CLASS __new_CAttenuatedEuclideanDistance},
1812 {"HammingWordDistance", SHOGUN_BASIC_CLASS __new_CHammingWordDistance},
1813 {"GeodesicMetric", SHOGUN_BASIC_CLASS __new_CGeodesicMetric},
1814 {"BrayCurtisDistance", SHOGUN_BASIC_CLASS __new_CBrayCurtisDistance},
1815 {"CanberraMetric", SHOGUN_BASIC_CLASS __new_CCanberraMetric},
1816 {"EuclideanDistance", SHOGUN_BASIC_CLASS __new_CEuclideanDistance},
1817 {"ChiSquareDistance", SHOGUN_BASIC_CLASS __new_CChiSquareDistance},
1818 {"ChebyshewMetric", SHOGUN_BASIC_CLASS __new_CChebyshewMetric},
1819 {"LatentSVM", SHOGUN_BASIC_CLASS __new_CLatentSVM},
1820 {"LatentSOSVM", SHOGUN_BASIC_CLASS __new_CLatentSOSVM},
1821 {"WDFeatures", SHOGUN_BASIC_CLASS __new_CWDFeatures},
1822 {"StreamingHashedDocDotFeatures", SHOGUN_BASIC_CLASS __new_CStreamingHashedDocDotFeatures},
1823 {"StreamingVwFeatures", SHOGUN_BASIC_CLASS __new_CStreamingVwFeatures},
1824 {"GaussianBlobsDataGenerator", SHOGUN_BASIC_CLASS __new_CGaussianBlobsDataGenerator},
1825 {"MeanShiftDataGenerator", SHOGUN_BASIC_CLASS __new_CMeanShiftDataGenerator},
1826 {"SparsePolyFeatures", SHOGUN_BASIC_CLASS __new_CSparsePolyFeatures},
1827 {"DummyFeatures", SHOGUN_BASIC_CLASS __new_CDummyFeatures},
1828 {"ImplicitWeightedSpecFeatures", SHOGUN_BASIC_CLASS __new_CImplicitWeightedSpecFeatures},
1829 {"Alphabet", SHOGUN_BASIC_CLASS __new_CAlphabet},
1830 {"PolyFeatures", SHOGUN_BASIC_CLASS __new_CPolyFeatures},
1831 {"HashedDocDotFeatures", SHOGUN_BASIC_CLASS __new_CHashedDocDotFeatures},
1832 {"FKFeatures", SHOGUN_BASIC_CLASS __new_CFKFeatures},
1833 {"FactorGraphFeatures", SHOGUN_BASIC_CLASS __new_CFactorGraphFeatures},
1834 {"HashedWDFeaturesTransposed", SHOGUN_BASIC_CLASS __new_CHashedWDFeaturesTransposed},
1835 {"ExplicitSpecFeatures", SHOGUN_BASIC_CLASS __new_CExplicitSpecFeatures},
1836 {"HashedWDFeatures", SHOGUN_BASIC_CLASS __new_CHashedWDFeatures},
1837 {"CombinedDotFeatures", SHOGUN_BASIC_CLASS __new_CCombinedDotFeatures},
1838 {"Subset", SHOGUN_BASIC_CLASS __new_CSubset},
1839 {"SNPFeatures", SHOGUN_BASIC_CLASS __new_CSNPFeatures},
1840 {"LatentFeatures", SHOGUN_BASIC_CLASS __new_CLatentFeatures},
1841 {"CombinedFeatures", SHOGUN_BASIC_CLASS __new_CCombinedFeatures},
1842 {"RealFileFeatures", SHOGUN_BASIC_CLASS __new_CRealFileFeatures},
1843 {"DataGenerator", SHOGUN_BASIC_CLASS __new_CDataGenerator},
1844 {"LBPPyrDotFeatures", SHOGUN_BASIC_CLASS __new_CLBPPyrDotFeatures},
1845 {"RandomFourierDotFeatures", SHOGUN_BASIC_CLASS __new_CRandomFourierDotFeatures},
1846 {"SubsetStack", SHOGUN_BASIC_CLASS __new_CSubsetStack},
1847 {"TOPFeatures", SHOGUN_BASIC_CLASS __new_CTOPFeatures},
1848 {"BinnedDotFeatures", SHOGUN_BASIC_CLASS __new_CBinnedDotFeatures},
1849 {"GUILabels", SHOGUN_BASIC_CLASS __new_CGUILabels},
1850 {"GUIPreprocessor", SHOGUN_BASIC_CLASS __new_CGUIPreprocessor},
1851 {"GUIClassifier", SHOGUN_BASIC_CLASS __new_CGUIClassifier},
1852 {"GUITime", SHOGUN_BASIC_CLASS __new_CGUITime},
1853 {"GUIKernel", SHOGUN_BASIC_CLASS __new_CGUIKernel},
1854 {"GUIStructure", SHOGUN_BASIC_CLASS __new_CGUIStructure},
1855 {"GUIMath", SHOGUN_BASIC_CLASS __new_CGUIMath},
1856 {"GUIFeatures", SHOGUN_BASIC_CLASS __new_CGUIFeatures},
1857 {"GUIPluginEstimate", SHOGUN_BASIC_CLASS __new_CGUIPluginEstimate},
1858 {"GUIDistance", SHOGUN_BASIC_CLASS __new_CGUIDistance},
1859 {"GUIConverter", SHOGUN_BASIC_CLASS __new_CGUIConverter},
1860 {"GUIHMM", SHOGUN_BASIC_CLASS __new_CGUIHMM},
1861 {"GridSearchModelSelection", SHOGUN_BASIC_CLASS __new_CGridSearchModelSelection},
1862 {"ModelSelectionParameters", SHOGUN_BASIC_CLASS __new_CModelSelectionParameters},
1863 {"GradientModelSelection", SHOGUN_BASIC_CLASS __new_CGradientModelSelection},
1864 {"RandomSearchModelSelection", SHOGUN_BASIC_CLASS __new_CRandomSearchModelSelection},
1865 {"ParameterCombination", SHOGUN_BASIC_CLASS __new_CParameterCombination},
1866 {"LinearStructuredOutputMachine", SHOGUN_BASIC_CLASS __new_CLinearStructuredOutputMachine},
1867 {"NativeMulticlassMachine", SHOGUN_BASIC_CLASS __new_CNativeMulticlassMachine},
1868 {"BaseMulticlassMachine", SHOGUN_BASIC_CLASS __new_CBaseMulticlassMachine},
1869 {"Machine", SHOGUN_BASIC_CLASS __new_CMachine},
1870 {"BaggingMachine", SHOGUN_BASIC_CLASS __new_CBaggingMachine},
1871 {"OnlineLinearMachine", SHOGUN_BASIC_CLASS __new_COnlineLinearMachine},
1872 {"KernelMulticlassMachine", SHOGUN_BASIC_CLASS __new_CKernelMulticlassMachine},
1873 {"KernelMachine", SHOGUN_BASIC_CLASS __new_CKernelMachine},
1874 {"DistanceMachine", SHOGUN_BASIC_CLASS __new_CDistanceMachine},
1875 {"KernelStructuredOutputMachine", SHOGUN_BASIC_CLASS __new_CKernelStructuredOutputMachine},
1876 {"StructuredOutputMachine", SHOGUN_BASIC_CLASS __new_CStructuredOutputMachine},
1877 {"LinearMachine", SHOGUN_BASIC_CLASS __new_CLinearMachine},
1878 {"LinearMulticlassMachine", SHOGUN_BASIC_CLASS __new_CLinearMulticlassMachine},
1879 {"GaussianProcessMachine", SHOGUN_BASIC_CLASS __new_CGaussianProcessMachine},
1880 {"ExactInferenceMethod", SHOGUN_BASIC_CLASS __new_CExactInferenceMethod},
1881 {"LogitLikelihood", SHOGUN_BASIC_CLASS __new_CLogitLikelihood},
1882 {"EPInferenceMethod", SHOGUN_BASIC_CLASS __new_CEPInferenceMethod},
1883 {"ZeroMean", SHOGUN_BASIC_CLASS __new_CZeroMean},
1884 {"ProbitLikelihood", SHOGUN_BASIC_CLASS __new_CProbitLikelihood},
1885 {"LaplacianInferenceMethod", SHOGUN_BASIC_CLASS __new_CLaplacianInferenceMethod},
1886 {"StudentsTLikelihood", SHOGUN_BASIC_CLASS __new_CStudentsTLikelihood},
1887 {"GaussianLikelihood", SHOGUN_BASIC_CLASS __new_CGaussianLikelihood},
1888 {"FITCInferenceMethod", SHOGUN_BASIC_CLASS __new_CFITCInferenceMethod},
1889 {"PRCEvaluation", SHOGUN_BASIC_CLASS __new_CPRCEvaluation},
1890 {"ClusteringAccuracy", SHOGUN_BASIC_CLASS __new_CClusteringAccuracy},
1891 {"GradientEvaluation", SHOGUN_BASIC_CLASS __new_CGradientEvaluation},
1892 {"MeanSquaredLogError", SHOGUN_BASIC_CLASS __new_CMeanSquaredLogError},
1893 {"ClusteringMutualInformation", SHOGUN_BASIC_CLASS __new_CClusteringMutualInformation},
1894 {"MulticlassOVREvaluation", SHOGUN_BASIC_CLASS __new_CMulticlassOVREvaluation},
1895 {"LOOCrossValidationSplitting", SHOGUN_BASIC_CLASS __new_CLOOCrossValidationSplitting},
1896 {"StratifiedCrossValidationSplitting", SHOGUN_BASIC_CLASS __new_CStratifiedCrossValidationSplitting},
1897 {"GradientCriterion", SHOGUN_BASIC_CLASS __new_CGradientCriterion},
1898 {"CrossValidationMulticlassStorage", SHOGUN_BASIC_CLASS __new_CCrossValidationMulticlassStorage},
1899 {"StructuredAccuracy", SHOGUN_BASIC_CLASS __new_CStructuredAccuracy},
1900 {"MulticlassAccuracy", SHOGUN_BASIC_CLASS __new_CMulticlassAccuracy},
1901 {"CrossValidationResult", SHOGUN_BASIC_CLASS __new_CCrossValidationResult},
1902 {"CrossValidation", SHOGUN_BASIC_CLASS __new_CCrossValidation},
1903 {"ROCEvaluation", SHOGUN_BASIC_CLASS __new_CROCEvaluation},
1904 {"ContingencyTableEvaluation", SHOGUN_BASIC_CLASS __new_CContingencyTableEvaluation},
1905 {"AccuracyMeasure", SHOGUN_BASIC_CLASS __new_CAccuracyMeasure},
1906 {"ErrorRateMeasure", SHOGUN_BASIC_CLASS __new_CErrorRateMeasure},
1907 {"BALMeasure", SHOGUN_BASIC_CLASS __new_CBALMeasure},
1908 {"WRACCMeasure", SHOGUN_BASIC_CLASS __new_CWRACCMeasure},
1909 {"F1Measure", SHOGUN_BASIC_CLASS __new_CF1Measure},
1910 {"CrossCorrelationMeasure", SHOGUN_BASIC_CLASS __new_CCrossCorrelationMeasure},
1911 {"RecallMeasure", SHOGUN_BASIC_CLASS __new_CRecallMeasure},
1912 {"PrecisionMeasure", SHOGUN_BASIC_CLASS __new_CPrecisionMeasure},
1913 {"SpecificityMeasure", SHOGUN_BASIC_CLASS __new_CSpecificityMeasure},
1914 {"GradientResult", SHOGUN_BASIC_CLASS __new_CGradientResult},
1915 {"CrossValidationPrintOutput", SHOGUN_BASIC_CLASS __new_CCrossValidationPrintOutput},
1916 {"MeanAbsoluteError", SHOGUN_BASIC_CLASS __new_CMeanAbsoluteError},
1917 {"MeanSquaredError", SHOGUN_BASIC_CLASS __new_CMeanSquaredError},
1918 {"CrossValidationSplitting", SHOGUN_BASIC_CLASS __new_CCrossValidationSplitting},
1919 {"CrossValidationMKLStorage", SHOGUN_BASIC_CLASS __new_CCrossValidationMKLStorage},
1920 {"LinearRidgeRegression", SHOGUN_BASIC_CLASS __new_CLinearRidgeRegression},
1921 {"LeastAngleRegression", SHOGUN_BASIC_CLASS __new_CLeastAngleRegression},
1922 {"KernelRidgeRegression", SHOGUN_BASIC_CLASS __new_CKernelRidgeRegression},
1923 {"LibLinearRegression", SHOGUN_BASIC_CLASS __new_CLibLinearRegression},
1924 {"LibSVR", SHOGUN_BASIC_CLASS __new_CLibSVR},
1925 {"MKLRegression", SHOGUN_BASIC_CLASS __new_CMKLRegression},
1926 {"GaussianProcessRegression", SHOGUN_BASIC_CLASS __new_CGaussianProcessRegression},
1927 {"LeastSquaresRegression", SHOGUN_BASIC_CLASS __new_CLeastSquaresRegression},
1928 {"SortWordString", SHOGUN_BASIC_CLASS __new_CSortWordString},
1929 {"NormOne", SHOGUN_BASIC_CLASS __new_CNormOne},
1930 {"DimensionReductionPreprocessor", SHOGUN_BASIC_CLASS __new_CDimensionReductionPreprocessor},
1931 {"SortUlongString", SHOGUN_BASIC_CLASS __new_CSortUlongString},
1933 {"PNorm", SHOGUN_BASIC_CLASS __new_CPNorm},
1934 {"PruneVarSubMean", SHOGUN_BASIC_CLASS __new_CPruneVarSubMean},
1935 {"LogPlusOne", SHOGUN_BASIC_CLASS __new_CLogPlusOne},
1936 {"RandomFourierGaussPreproc", SHOGUN_BASIC_CLASS __new_CRandomFourierGaussPreproc},
1937 {"SumOne", SHOGUN_BASIC_CLASS __new_CSumOne},
1938 {"HomogeneousKernelMap", SHOGUN_BASIC_CLASS __new_CHomogeneousKernelMap},
1939 {"KernelPCA", SHOGUN_BASIC_CLASS __new_CKernelPCA},
1940 {"RescaleFeatures", SHOGUN_BASIC_CLASS __new_CRescaleFeatures},
1941 {"LinearLocalTangentSpaceAlignment", SHOGUN_BASIC_CLASS __new_CLinearLocalTangentSpaceAlignment},
1942 {"TDistributedStochasticNeighborEmbedding", SHOGUN_BASIC_CLASS __new_CTDistributedStochasticNeighborEmbedding},
1943 {"LocallyLinearEmbedding", SHOGUN_BASIC_CLASS __new_CLocallyLinearEmbedding},
1944 {"HessianLocallyLinearEmbedding", SHOGUN_BASIC_CLASS __new_CHessianLocallyLinearEmbedding},
1945 {"FactorAnalysis", SHOGUN_BASIC_CLASS __new_CFactorAnalysis},
1946 {"LocalTangentSpaceAlignment", SHOGUN_BASIC_CLASS __new_CLocalTangentSpaceAlignment},
1947 {"HashedDocConverter", SHOGUN_BASIC_CLASS __new_CHashedDocConverter},
1948 {"KernelLocallyLinearEmbedding", SHOGUN_BASIC_CLASS __new_CKernelLocallyLinearEmbedding},
1949 {"LaplacianEigenmaps", SHOGUN_BASIC_CLASS __new_CLaplacianEigenmaps},
1950 {"DiffusionMaps", SHOGUN_BASIC_CLASS __new_CDiffusionMaps},
1951 {"MultidimensionalScaling", SHOGUN_BASIC_CLASS __new_CMultidimensionalScaling},
1952 {"NeighborhoodPreservingEmbedding", SHOGUN_BASIC_CLASS __new_CNeighborhoodPreservingEmbedding},
1953 {"LocalityPreservingProjections", SHOGUN_BASIC_CLASS __new_CLocalityPreservingProjections},
1954 {"StochasticProximityEmbedding", SHOGUN_BASIC_CLASS __new_CStochasticProximityEmbedding},
1955 {"Isomap", SHOGUN_BASIC_CLASS __new_CIsomap},
1956 {"FFSep", SHOGUN_BASIC_CLASS __new_CFFSep},
1957 {"FastICA", SHOGUN_BASIC_CLASS __new_CFastICA},
1958 {"UWedgeSep", SHOGUN_BASIC_CLASS __new_CUWedgeSep},
1960 {"JediSep", SHOGUN_BASIC_CLASS __new_CJediSep},
1962 {"ManifoldSculpting", SHOGUN_BASIC_CLASS __new_CManifoldSculpting},
1963 {"DomainAdaptationMulticlassLibLinear", SHOGUN_BASIC_CLASS __new_CDomainAdaptationMulticlassLibLinear},
1964 {"DomainAdaptationSVMLinear", SHOGUN_BASIC_CLASS __new_CDomainAdaptationSVMLinear},
1965 {"MultitaskClusteredLogisticRegression", SHOGUN_BASIC_CLASS __new_CMultitaskClusteredLogisticRegression},
1966 {"MultitaskLeastSquaresRegression", SHOGUN_BASIC_CLASS __new_CMultitaskLeastSquaresRegression},
1967 {"TaskTree", SHOGUN_BASIC_CLASS __new_CTaskTree},
1969 {"Taxonomy", SHOGUN_BASIC_CLASS __new_CTaxonomy},
1970 {"MultitaskKernelTreeNormalizer", SHOGUN_BASIC_CLASS __new_CMultitaskKernelTreeNormalizer},
1971 {"LibLinearMTL", SHOGUN_BASIC_CLASS __new_CLibLinearMTL},
1972 {"MultitaskLinearMachine", SHOGUN_BASIC_CLASS __new_CMultitaskLinearMachine},
1973 {"MultitaskKernelNormalizer", SHOGUN_BASIC_CLASS __new_CMultitaskKernelNormalizer},
1974 {"MultitaskROCEvaluation", SHOGUN_BASIC_CLASS __new_CMultitaskROCEvaluation},
1975 {"MultitaskKernelMaskPairNormalizer", SHOGUN_BASIC_CLASS __new_CMultitaskKernelMaskPairNormalizer},
1976 {"MultitaskL12LogisticRegression", SHOGUN_BASIC_CLASS __new_CMultitaskL12LogisticRegression},
1977 {"MultitaskKernelMaskNormalizer", SHOGUN_BASIC_CLASS __new_CMultitaskKernelMaskNormalizer},
1978 {"MultitaskKernelPlifNormalizer", SHOGUN_BASIC_CLASS __new_CMultitaskKernelPlifNormalizer},
1979 {"MultitaskTraceLogisticRegression", SHOGUN_BASIC_CLASS __new_CMultitaskTraceLogisticRegression},
1980 {"TaskGroup", SHOGUN_BASIC_CLASS __new_CTaskGroup},
1981 {"MultitaskLogisticRegression", SHOGUN_BASIC_CLASS __new_CMultitaskLogisticRegression},
1983 {"SquaredHingeLoss", SHOGUN_BASIC_CLASS __new_CSquaredHingeLoss},
1984 {"LogLossMargin", SHOGUN_BASIC_CLASS __new_CLogLossMargin},
1985 {"HingeLoss", SHOGUN_BASIC_CLASS __new_CHingeLoss},
1986 {"LogLoss", SHOGUN_BASIC_CLASS __new_CLogLoss},
1987 {"SmoothHingeLoss", SHOGUN_BASIC_CLASS __new_CSmoothHingeLoss},
1988 {"SquaredLoss", SHOGUN_BASIC_CLASS __new_CSquaredLoss},
1991 {"Hierarchical", SHOGUN_BASIC_CLASS __new_CHierarchical},
1992 {"KMeans", SHOGUN_BASIC_CLASS __new_CKMeans},
1993 {"WeightedDegreeRBFKernel", SHOGUN_BASIC_CLASS __new_CWeightedDegreeRBFKernel},
1994 {"PolyKernel", SHOGUN_BASIC_CLASS __new_CPolyKernel},
1995 {"DiagKernel", SHOGUN_BASIC_CLASS __new_CDiagKernel},
1996 {"LinearKernel", SHOGUN_BASIC_CLASS __new_CLinearKernel},
1997 {"GaussianARDKernel", SHOGUN_BASIC_CLASS __new_CGaussianARDKernel},
1998 {"CombinedKernel", SHOGUN_BASIC_CLASS __new_CCombinedKernel},
1999 {"GaussianShortRealKernel", SHOGUN_BASIC_CLASS __new_CGaussianShortRealKernel},
2000 {"InverseMultiQuadricKernel", SHOGUN_BASIC_CLASS __new_CInverseMultiQuadricKernel},
2001 {"SigmoidKernel", SHOGUN_BASIC_CLASS __new_CSigmoidKernel},
2002 {"GaussianShiftKernel", SHOGUN_BASIC_CLASS __new_CGaussianShiftKernel},
2003 {"GaussianKernel", SHOGUN_BASIC_CLASS __new_CGaussianKernel},
2004 {"SphericalKernel", SHOGUN_BASIC_CLASS __new_CSphericalKernel},
2005 {"TStudentKernel", SHOGUN_BASIC_CLASS __new_CTStudentKernel},
2006 {"CircularKernel", SHOGUN_BASIC_CLASS __new_CCircularKernel},
2007 {"SplineKernel", SHOGUN_BASIC_CLASS __new_CSplineKernel},
2008 {"WaveletKernel", SHOGUN_BASIC_CLASS __new_CWaveletKernel},
2009 {"AUCKernel", SHOGUN_BASIC_CLASS __new_CAUCKernel},
2010 {"MultiquadricKernel", SHOGUN_BASIC_CLASS __new_CMultiquadricKernel},
2011 {"JensenShannonKernel", SHOGUN_BASIC_CLASS __new_CJensenShannonKernel},
2012 {"LinearARDKernel", SHOGUN_BASIC_CLASS __new_CLinearARDKernel},
2013 {"SNPStringKernel", SHOGUN_BASIC_CLASS __new_CSNPStringKernel},
2014 {"CommUlongStringKernel", SHOGUN_BASIC_CLASS __new_CCommUlongStringKernel},
2015 {"CommWordStringKernel", SHOGUN_BASIC_CLASS __new_CCommWordStringKernel},
2016 {"SparseSpatialSampleStringKernel", SHOGUN_BASIC_CLASS __new_CSparseSpatialSampleStringKernel},
2017 {"WeightedDegreeStringKernel", SHOGUN_BASIC_CLASS __new_CWeightedDegreeStringKernel},
2018 {"LocalAlignmentStringKernel", SHOGUN_BASIC_CLASS __new_CLocalAlignmentStringKernel},
2019 {"SimpleLocalityImprovedStringKernel", SHOGUN_BASIC_CLASS __new_CSimpleLocalityImprovedStringKernel},
2020 {"LinearStringKernel", SHOGUN_BASIC_CLASS __new_CLinearStringKernel},
2021 {"MatchWordStringKernel", SHOGUN_BASIC_CLASS __new_CMatchWordStringKernel},
2022 {"WeightedDegreePositionStringKernel", SHOGUN_BASIC_CLASS __new_CWeightedDegreePositionStringKernel},
2023 {"SalzbergWordStringKernel", SHOGUN_BASIC_CLASS __new_CSalzbergWordStringKernel},
2024 {"PolyMatchWordStringKernel", SHOGUN_BASIC_CLASS __new_CPolyMatchWordStringKernel},
2025 {"HistogramWordStringKernel", SHOGUN_BASIC_CLASS __new_CHistogramWordStringKernel},
2026 {"GaussianMatchStringKernel", SHOGUN_BASIC_CLASS __new_CGaussianMatchStringKernel},
2027 {"SpectrumRBFKernel", SHOGUN_BASIC_CLASS __new_CSpectrumRBFKernel},
2028 {"StringSubsequenceKernel", SHOGUN_BASIC_CLASS __new_CStringSubsequenceKernel},
2029 {"DistantSegmentsKernel", SHOGUN_BASIC_CLASS __new_CDistantSegmentsKernel},
2030 {"SpectrumMismatchRBFKernel", SHOGUN_BASIC_CLASS __new_CSpectrumMismatchRBFKernel},
2031 {"FixedDegreeStringKernel", SHOGUN_BASIC_CLASS __new_CFixedDegreeStringKernel},
2032 {"PolyMatchStringKernel", SHOGUN_BASIC_CLASS __new_CPolyMatchStringKernel},
2033 {"LocalityImprovedStringKernel", SHOGUN_BASIC_CLASS __new_CLocalityImprovedStringKernel},
2034 {"WeightedCommWordStringKernel", SHOGUN_BASIC_CLASS __new_CWeightedCommWordStringKernel},
2035 {"RegulatoryModulesStringKernel", SHOGUN_BASIC_CLASS __new_CRegulatoryModulesStringKernel},
2036 {"OligoStringKernel", SHOGUN_BASIC_CLASS __new_COligoStringKernel},
2037 {"DistanceKernel", SHOGUN_BASIC_CLASS __new_CDistanceKernel},
2038 {"ConstKernel", SHOGUN_BASIC_CLASS __new_CConstKernel},
2039 {"Chi2Kernel", SHOGUN_BASIC_CLASS __new_CChi2Kernel},
2040 {"BesselKernel", SHOGUN_BASIC_CLASS __new_CBesselKernel},
2041 {"PowerKernel", SHOGUN_BASIC_CLASS __new_CPowerKernel},
2042 {"ProductKernel", SHOGUN_BASIC_CLASS __new_CProductKernel},
2043 {"PyramidChi2", SHOGUN_BASIC_CLASS __new_CPyramidChi2},
2044 {"CustomKernel", SHOGUN_BASIC_CLASS __new_CCustomKernel},
2045 {"ExponentialKernel", SHOGUN_BASIC_CLASS __new_CExponentialKernel},
2046 {"AvgDiagKernelNormalizer", SHOGUN_BASIC_CLASS __new_CAvgDiagKernelNormalizer},
2047 {"ScatterKernelNormalizer", SHOGUN_BASIC_CLASS __new_CScatterKernelNormalizer},
2048 {"ZeroMeanCenterKernelNormalizer", SHOGUN_BASIC_CLASS __new_CZeroMeanCenterKernelNormalizer},
2049 {"VarianceKernelNormalizer", SHOGUN_BASIC_CLASS __new_CVarianceKernelNormalizer},
2050 {"DiceKernelNormalizer", SHOGUN_BASIC_CLASS __new_CDiceKernelNormalizer},
2051 {"IdentityKernelNormalizer", SHOGUN_BASIC_CLASS __new_CIdentityKernelNormalizer},
2052 {"TanimotoKernelNormalizer", SHOGUN_BASIC_CLASS __new_CTanimotoKernelNormalizer},
2053 {"SqrtDiagKernelNormalizer", SHOGUN_BASIC_CLASS __new_CSqrtDiagKernelNormalizer},
2054 {"RidgeKernelNormalizer", SHOGUN_BASIC_CLASS __new_CRidgeKernelNormalizer},
2055 {"FirstElementKernelNormalizer", SHOGUN_BASIC_CLASS __new_CFirstElementKernelNormalizer},
2056 {"TensorProductPairKernel", SHOGUN_BASIC_CLASS __new_CTensorProductPairKernel},
2057 {"ANOVAKernel", SHOGUN_BASIC_CLASS __new_CANOVAKernel},
2058 {"WaveKernel", SHOGUN_BASIC_CLASS __new_CWaveKernel},
2059 {"RationalQuadraticKernel", SHOGUN_BASIC_CLASS __new_CRationalQuadraticKernel},
2060 {"LogKernel", SHOGUN_BASIC_CLASS __new_CLogKernel},
2061 {"CauchyKernel", SHOGUN_BASIC_CLASS __new_CCauchyKernel},
2062 {"HistogramIntersectionKernel", SHOGUN_BASIC_CLASS __new_CHistogramIntersectionKernel},
2063 {"StreamingFileFromSparseFeatures", SHOGUN_TEMPLATE_CLASS __new_CStreamingFileFromSparseFeatures},
2064 {"StreamingFileFromDenseFeatures", SHOGUN_TEMPLATE_CLASS __new_CStreamingFileFromDenseFeatures},
2065 {"StreamingFileFromStringFeatures", SHOGUN_TEMPLATE_CLASS __new_CStreamingFileFromStringFeatures},
2066 {"ParseBuffer", SHOGUN_TEMPLATE_CLASS __new_CParseBuffer},
2067 {"MemoryMappedFile", SHOGUN_TEMPLATE_CLASS __new_CMemoryMappedFile},
2069 {"BinaryStream", SHOGUN_TEMPLATE_CLASS __new_CBinaryStream},
2070 {"DynamicArray", SHOGUN_TEMPLATE_CLASS __new_CDynamicArray},
2073 {"TreeMachine", SHOGUN_TEMPLATE_CLASS __new_CTreeMachine},
2074 {"StreamingDenseFeatures", SHOGUN_TEMPLATE_CLASS __new_CStreamingDenseFeatures},
2075 {"StreamingStringFeatures", SHOGUN_TEMPLATE_CLASS __new_CStreamingStringFeatures},
2076 {"StreamingHashedSparseFeatures", SHOGUN_TEMPLATE_CLASS __new_CStreamingHashedSparseFeatures},
2077 {"StreamingHashedDenseFeatures", SHOGUN_TEMPLATE_CLASS __new_CStreamingHashedDenseFeatures},
2078 {"StreamingSparseFeatures", SHOGUN_TEMPLATE_CLASS __new_CStreamingSparseFeatures},
2079 {"DenseSubsetFeatures", SHOGUN_TEMPLATE_CLASS __new_CDenseSubsetFeatures},
2080 {"HashedSparseFeatures", SHOGUN_TEMPLATE_CLASS __new_CHashedSparseFeatures},
2081 {"DenseFeatures", SHOGUN_TEMPLATE_CLASS __new_CDenseFeatures},
2082 {"SparseFeatures", SHOGUN_TEMPLATE_CLASS __new_CSparseFeatures},
2083 {"MatrixFeatures", SHOGUN_TEMPLATE_CLASS __new_CMatrixFeatures},
2084 {"HashedDenseFeatures", SHOGUN_TEMPLATE_CLASS __new_CHashedDenseFeatures},
2085 {"StringFeatures", SHOGUN_TEMPLATE_CLASS __new_CStringFeatures},
2086 {"StringFileFeatures", SHOGUN_TEMPLATE_CLASS __new_CStringFileFeatures},
2087 {"DecompressString", SHOGUN_TEMPLATE_CLASS __new_CDecompressString},
2088 {"DenseMatrixOperator", SHOGUN_TEMPLATE_CLASS __new_CDenseMatrixOperator},
2089 {"SparseMatrixOperator", SHOGUN_TEMPLATE_CLASS __new_CSparseMatrixOperator},
2090 {"ScalarResult", SHOGUN_TEMPLATE_CLASS __new_CScalarResult},
2091 {"VectorResult", SHOGUN_TEMPLATE_CLASS __new_CVectorResult},
2092 {"StoreScalarAggregator", SHOGUN_TEMPLATE_CLASS __new_CStoreScalarAggregator}, {NULL, NULL}
2093 };
2094 
2095 CSGObject* shogun::new_sgserializable(const char* sgserializable_name,
2096  EPrimitiveType generic)
2097 {
2098  for (class_list_entry_t* i=class_list; i->m_class_name != NULL;
2099  i++)
2100  {
2101  if (strncmp(i->m_class_name, sgserializable_name, STRING_LEN) == 0)
2102  return i->m_new_sgserializable(generic);
2103  }
2104 
2105  return NULL;
2106 }
static SHOGUN_BASIC_CLASS CSGObject * __new_CVwParser(EPrimitiveType g)
Definition: class_list.cpp:582
static SHOGUN_BASIC_CLASS CSGObject * __new_CStreamingAsciiFile(EPrimitiveType g)
Definition: class_list.cpp:512
static SHOGUN_TEMPLATE_CLASS CSGObject * __new_CTreeMachine(EPrimitiveType g)
Class GaussianProcessBinaryClassification implements binary classification based on Gaussian Processe...
static SHOGUN_BASIC_CLASS CSGObject * __new_CCompressor(EPrimitiveType g)
Definition: class_list.cpp:603
static SHOGUN_BASIC_CLASS CSGObject * __new_CMMDKernelSelectionMedian(EPrimitiveType g)
Definition: class_list.cpp:591
An I/O buffer class.
Definition: IOBuffer.h:44
static SHOGUN_BASIC_CLASS CSGObject * __new_CQDA(EPrimitiveType g)
Definition: class_list.cpp:649
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:724
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:558
static SHOGUN_BASIC_CLASS CSGObject * __new_CHashedWDFeatures(EPrimitiveType g)
Definition: class_list.cpp:692
static SHOGUN_BASIC_CLASS CSGObject * __new_CStreamingHashedDocDotFeatures(EPrimitiveType g)
Definition: class_list.cpp:678
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:834
static SHOGUN_BASIC_CLASS CSGObject * __new_CCosineDistance(EPrimitiveType g)
Definition: class_list.cpp:666
static SHOGUN_BASIC_CLASS CSGObject * __new_COnlineSVMSGD(EPrimitiveType g)
Definition: class_list.cpp:569
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:772
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:615
class LinearLocalTangentSpaceAlignment converter used to construct embeddings as described in: ...
static SHOGUN_BASIC_CLASS CSGObject * __new_CJediDiag(EPrimitiveType g)
Definition: class_list.cpp:529
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:771
Spherical kernel.
Positional PWM.
Definition: PositionalPWM.h:22
static SHOGUN_BASIC_CLASS CSGObject * __new_CDirectLinearSolverComplex(EPrimitiveType g)
Definition: class_list.cpp:544
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:602
static SHOGUN_BASIC_CLASS CSGObject * __new_CLocalityPreservingProjections(EPrimitiveType g)
Definition: class_list.cpp:809
static SHOGUN_TEMPLATE_CLASS CSGObject * __new_CMatrixFeatures(EPrimitiveType g)
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:517
static SHOGUN_BASIC_CLASS CSGObject * __new_CJediSep(EPrimitiveType g)
Definition: class_list.cpp:816
static SHOGUN_BASIC_CLASS CSGObject * __new_CMultitaskLogisticRegression(EPrimitiveType g)
Definition: class_list.cpp:837
Class OnlineLinearMachine is a generic interface for linear machines like classifiers which work thro...
Class that models Logit likelihood.
static SHOGUN_BASIC_CLASS CSGObject * __new_CProtobufFile(EPrimitiveType g)
Definition: class_list.cpp:515
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<char> 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:693
static SHOGUN_BASIC_CLASS CSGObject * __new_CMulticlassMultipleOutputLabels(EPrimitiveType g)
Definition: class_list.cpp:476
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's default...
static SHOGUN_BASIC_CLASS CSGObject * __new_CLocalAlignmentStringKernel(EPrimitiveType g)
Definition: class_list.cpp:874
Computes the standard polynomial kernel on CDotFeatures.
Definition: PolyKernel.h:36
static SHOGUN_BASIC_CLASS CSGObject * __new_CLOOCrossValidationSplitting(EPrimitiveType g)
Definition: class_list.cpp:751
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:814
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:499
static SHOGUN_BASIC_CLASS CSGObject * __new_CMMDKernelSelectionCombMaxL2(EPrimitiveType g)
Definition: class_list.cpp:590
static SHOGUN_BASIC_CLASS CSGObject * __new_CGaussianProcessBinaryClassification(EPrimitiveType g)
Definition: class_list.cpp:583
static SHOGUN_BASIC_CLASS CSGObject * __new_CLocalityImprovedStringKernel(EPrimitiveType g)
Definition: class_list.cpp:889
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:755
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:698
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:899
Class that generates jobs for computing logarithm of a dense matrix linear operator.
class StringSubsequenceKernel that implements String Subsequence Kernel (SSK) discussed by Lodhi et...
static SHOGUN_BASIC_CLASS CSGObject * __new_CCombinedKernel(EPrimitiveType g)
Definition: class_list.cpp:854
static SHOGUN_BASIC_CLASS CSGObject * __new_CCanberraMetric(EPrimitiveType g)
Definition: class_list.cpp:671
static SHOGUN_TEMPLATE_CLASS CSGObject * __new_CDenseFeatures(EPrimitiveType g)
static SHOGUN_BASIC_CLASS CSGObject * __new_CPositionalPWM(EPrimitiveType g)
Definition: class_list.cpp:613
class Factor Analysis used to embed data using Factor Analysis algorithm.
static SHOGUN_BASIC_CLASS CSGObject * __new_CRandom(EPrimitiveType g)
Definition: class_list.cpp:530
static SHOGUN_BASIC_CLASS CSGObject * __new_CLineReader(EPrimitiveType g)
Definition: class_list.cpp:516
static SHOGUN_BASIC_CLASS CSGObject * __new_CSortUlongString(EPrimitiveType g)
Definition: class_list.cpp:787
static SHOGUN_BASIC_CLASS CSGObject * __new_CECOCRandomDenseEncoder(EPrimitiveType g)
Definition: class_list.cpp:637
The Diagonal Kernel returns a constant for the diagonal and zero otherwise.
Definition: DiagKernel.h:26
static SHOGUN_BASIC_CLASS CSGObject * __new_CLeastAngleRegression(EPrimitiveType g)
Definition: class_list.cpp:777
static SHOGUN_BASIC_CLASS CSGObject * __new_CMulticlassLogisticRegression(EPrimitiveType g)
Definition: class_list.cpp:647
threshold based rejection strategy
static SHOGUN_BASIC_CLASS CSGObject * __new_CLinearStringKernel(EPrimitiveType g)
Definition: class_list.cpp:876
class to implement LibLinear
Definition: LibLinearMTL.h:90
static SHOGUN_BASIC_CLASS CSGObject * __new_CLogDetEstimator(EPrimitiveType g)
Definition: class_list.cpp:540
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:866
static SHOGUN_BASIC_CLASS CSGObject * __new_CBinnedDotFeatures(EPrimitiveType g)
Definition: class_list.cpp:704
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:524
static SHOGUN_BASIC_CLASS CSGObject * __new_CTaskTree(EPrimitiveType g)
Definition: class_list.cpp:823
static SHOGUN_BASIC_CLASS CSGObject * __new_CStructuredData(EPrimitiveType g)
Definition: class_list.cpp:611
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:531
static SHOGUN_BASIC_CLASS CSGObject * __new_CFactorGraphObservation(EPrimitiveType g)
Definition: class_list.cpp:478
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:628
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:527
static SHOGUN_BASIC_CLASS CSGObject * __new_CWaveKernel(EPrimitiveType g)
Definition: class_list.cpp:914
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:871
CTaxonomy is used to describe hierarchical structure between tasks.
static SHOGUN_BASIC_CLASS CSGObject * __new_CKNN(EPrimitiveType g)
Definition: class_list.cpp:651
static SHOGUN_BASIC_CLASS CSGObject * __new_CMahalanobisDistance(EPrimitiveType g)
Definition: class_list.cpp:665
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:875
#define SHOGUN_BASIC_CLASS
Definition: class_list.cpp:474
LibSVM.
Definition: LibSVM.h:28
static SHOGUN_BASIC_CLASS CSGObject * __new_CMultitaskLinearMachine(EPrimitiveType g)
Definition: class_list.cpp:828
static SHOGUN_BASIC_CLASS CSGObject * __new_CParameterCombination(EPrimitiveType g)
Definition: class_list.cpp:721
static SHOGUN_BASIC_CLASS CSGObject * __new_CBrayCurtisDistance(EPrimitiveType g)
Definition: class_list.cpp:670
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:891
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:594
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:750
class JediSep
Definition: JediSep.h:35
static SHOGUN_BASIC_CLASS CSGObject * __new_CFactorGraphLabels(EPrimitiveType g)
Definition: class_list.cpp:479
static SHOGUN_BASIC_CLASS CSGObject * __new_CBinaryFile(EPrimitiveType g)
Definition: class_list.cpp:519
static SHOGUN_BASIC_CLASS CSGObject * __new_CFactorType(EPrimitiveType g)
Definition: class_list.cpp:495
static SHOGUN_BASIC_CLASS CSGObject * __new_CPlifArray(EPrimitiveType g)
Definition: class_list.cpp:494
Class that computes multiple independent instances of computation jobs sequentially.
Class CVwEnvironment is the environment used by VW.
Definition: VwEnvironment.h:39
class CTDistributedStochasticNeighborEmbedding used to embed data using t-distributed stochastic neig...
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:685
static SHOGUN_BASIC_CLASS CSGObject * __new_CNeighborhoodPreservingEmbedding(EPrimitiveType g)
Definition: class_list.cpp:808
static SHOGUN_BASIC_CLASS CSGObject * __new_CCustomKernel(EPrimitiveType g)
Definition: class_list.cpp:900
simplified version of Dixon'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:480
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:621
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:477
static SHOGUN_BASIC_CLASS CSGObject * __new_CGaussianNaiveBayes(EPrimitiveType g)
Definition: class_list.cpp:641
static SHOGUN_BASIC_CLASS CSGObject * __new_CDirectSparseLinearSolver(EPrimitiveType g)
Definition: class_list.cpp:543
static SHOGUN_BASIC_CLASS CSGObject * __new_CMulticlassLabels(EPrimitiveType g)
Definition: class_list.cpp:482
The Jensen-Shannon kernel operating on real-valued vectors computes the Jensen-Shannon distance betwe...
UI HMM (Hidden Markov Model)
Definition: GUIHMM.h:26
static SHOGUN_BASIC_CLASS CSGObject * __new_CRandomSearchModelSelection(EPrimitiveType g)
Definition: class_list.cpp:720
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:691
static SHOGUN_BASIC_CLASS CSGObject * __new_CGUIPreprocessor(EPrimitiveType g)
Definition: class_list.cpp:706
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:600
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:592
static SHOGUN_BASIC_CLASS CSGObject * __new_CZeroMeanCenterKernelNormalizer(EPrimitiveType g)
Definition: class_list.cpp:904
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_CGUIStructure(EPrimitiveType g)
Definition: class_list.cpp:710
static SHOGUN_BASIC_CLASS CSGObject * __new_CSVMLin(EPrimitiveType g)
Definition: class_list.cpp:570
static SHOGUN_BASIC_CLASS CSGObject * __new_CTensorProductPairKernel(EPrimitiveType g)
Definition: class_list.cpp:912
static SHOGUN_BASIC_CLASS CSGObject * __new_CLDA(EPrimitiveType g)
Definition: class_list.cpp:550
static SHOGUN_BASIC_CLASS CSGObject * __new_CLibLinearRegression(EPrimitiveType g)
Definition: class_list.cpp:779
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:734
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:753
static SHOGUN_BASIC_CLASS CSGObject * __new_CGUIConverter(EPrimitiveType g)
Definition: class_list.cpp:715
static SHOGUN_BASIC_CLASS CSGObject * __new_CStreamingFile(EPrimitiveType g)
Definition: class_list.cpp:510
static SHOGUN_BASIC_CLASS CSGObject * __new_CJensenShannonKernel(EPrimitiveType g)
Definition: class_list.cpp:867
class MPDSVM
Definition: MPDSVM.h:21
static SHOGUN_BASIC_CLASS CSGObject * __new_CLocalTangentSpaceAlignment(EPrimitiveType g)
Definition: class_list.cpp:802
class CTwoStateModel class for the internal two-state representation used in the CHMSVMModel.
Definition: TwoStateModel.h:24
static SHOGUN_BASIC_CLASS CSGObject * __new_CDenseExactLogJob(EPrimitiveType g)
Definition: class_list.cpp:534
Template class SparseFeatures implements sparse matrices.
static SHOGUN_BASIC_CLASS CSGObject * __new_CDiffusionMaps(EPrimitiveType g)
Definition: class_list.cpp:806
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:856
spectrum rbf kernel
static SHOGUN_BASIC_CLASS CSGObject * __new_CJADiag(EPrimitiveType g)
Definition: class_list.cpp:528
static SHOGUN_BASIC_CLASS CSGObject * __new_CGUIDistance(EPrimitiveType g)
Definition: class_list.cpp:714
static SHOGUN_BASIC_CLASS CSGObject * __new_CSNPStringKernel(EPrimitiveType g)
Definition: class_list.cpp:869
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:843
static SHOGUN_BASIC_CLASS CSGObject * __new_CDiagKernel(EPrimitiveType g)
Definition: class_list.cpp:851
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:807
static SHOGUN_BASIC_CLASS CSGObject * __new_CGaussian(EPrimitiveType g)
Definition: class_list.cpp:617
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:723
static SHOGUN_BASIC_CLASS CSGObject * __new_CLMNN(EPrimitiveType g)
Definition: class_list.cpp:619
static SHOGUN_BASIC_CLASS CSGObject * __new_CRationalQuadraticKernel(EPrimitiveType g)
Definition: class_list.cpp:915
UI time.
Definition: GUITime.h:23
class FeatureBlockLogisticRegression, a linear binary logistic loss classifier for problems with comp...
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:796
static SHOGUN_BASIC_CLASS CSGObject * __new_CBitString(EPrimitiveType g)
Definition: class_list.cpp:595
static SHOGUN_BASIC_CLASS CSGObject * __new_CLinearStructuredOutputMachine(EPrimitiveType g)
Definition: class_list.cpp:722
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:850
The class MulticlassAccuracy used to compute accuracy of multiclass classification.
static SHOGUN_BASIC_CLASS CSGObject * __new_CSignal(EPrimitiveType g)
Definition: class_list.cpp:605
static SHOGUN_BASIC_CLASS CSGObject * __new_CCrossValidationSplitting(EPrimitiveType g)
Definition: class_list.cpp:774
class Tanimoto coefficient
static SHOGUN_BASIC_CLASS CSGObject * __new_CScatterSVM(EPrimitiveType g)
Definition: class_list.cpp:645
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:538
static SHOGUN_BASIC_CLASS CSGObject * __new_CGMNPSVM(EPrimitiveType g)
Definition: class_list.cpp:642
static SHOGUN_BASIC_CLASS CSGObject * __new_CWeightedDegreePositionStringKernel(EPrimitiveType g)
Definition: class_list.cpp:878
static SHOGUN_BASIC_CLASS CSGObject * __new_CECOCHDDecoder(EPrimitiveType g)
Definition: class_list.cpp:634
static SHOGUN_BASIC_CLASS CSGObject * __new_CMulticlassLibLinear(EPrimitiveType g)
Definition: class_list.cpp:648
static SHOGUN_BASIC_CLASS CSGObject * __new_CRandomFourierGaussPreproc(EPrimitiveType g)
Definition: class_list.cpp:792
static SHOGUN_BASIC_CLASS CSGObject * __new_CLMNNStatistics(EPrimitiveType g)
Definition: class_list.cpp:620
static SHOGUN_BASIC_CLASS CSGObject * __new_CMultitaskROCEvaluation(EPrimitiveType g)
Definition: class_list.cpp:830
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:644
static SHOGUN_BASIC_CLASS CSGObject * __new_CCommUlongStringKernel(EPrimitiveType g)
Definition: class_list.cpp:870
static SHOGUN_BASIC_CLASS CSGObject * __new_CGUIFeatures(EPrimitiveType g)
Definition: class_list.cpp:712
static SHOGUN_BASIC_CLASS CSGObject * __new_COnlineLibLinear(EPrimitiveType g)
Definition: class_list.cpp:561
static SHOGUN_TEMPLATE_CLASS CSGObject * __new_CStreamingFileFromStringFeatures(EPrimitiveType g)
Definition: class_list.cpp:965
static SHOGUN_BASIC_CLASS CSGObject * __new_CDualLibQPBMSOSVM(EPrimitiveType g)
Definition: class_list.cpp:500
VwAdaptiveLearner uses an adaptive subgradient technique to update weights.
static SHOGUN_BASIC_CLASS CSGObject * __new_CCustomDistance(EPrimitiveType g)
Definition: class_list.cpp:662
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:487
static SHOGUN_BASIC_CLASS CSGObject * __new_CHomogeneousKernelMap(EPrimitiveType g)
Definition: class_list.cpp:794
static SHOGUN_BASIC_CLASS CSGObject * __new_CContingencyTableEvaluation(EPrimitiveType g)
Definition: class_list.cpp:760
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:775
static SHOGUN_BASIC_CLASS CSGObject * __new_CLeastSquaresRegression(EPrimitiveType g)
Definition: class_list.cpp:783
static SHOGUN_BASIC_CLASS CSGObject * __new_CWeightedDegreeStringKernel(EPrimitiveType g)
Definition: class_list.cpp:873
static SHOGUN_BASIC_CLASS CSGObject * __new_CManifoldSculpting(EPrimitiveType g)
Definition: class_list.cpp:818
static SHOGUN_BASIC_CLASS CSGObject * __new_CPCA(EPrimitiveType g)
Definition: class_list.cpp:788
Preprocessor LogPlusOne does what the name says, it adds one to a dense real valued vector and takes ...
Definition: LogPlusOne.h:33
A generic KernelMachine interface.
Definition: KernelMachine.h:50
Implementation of optimal kernel selection for combined kernel. This class selects a combination of b...
Multiple Kernel Learning for one-class-classification.
Definition: MKLOneClass.h:25
static SHOGUN_BASIC_CLASS CSGObject * __new_CExactInferenceMethod(EPrimitiveType g)
Definition: class_list.cpp:736
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:725
static SHOGUN_BASIC_CLASS CSGObject * __new_CNormalSampler(EPrimitiveType g)
Definition: class_list.cpp:532
Class for buffered reading from a ascii file.
Definition: LineReader.h:20
Agglomerative hierarchical single linkage clustering.
Definition: Hierarchical.h:37
static SHOGUN_BASIC_CLASS CSGObject * __new_CCrossValidation(EPrimitiveType g)
Definition: class_list.cpp:758
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:556
static SHOGUN_BASIC_CLASS CSGObject * __new_CLibLinearMTL(EPrimitiveType g)
Definition: class_list.cpp:827
static SHOGUN_TEMPLATE_CLASS CSGObject * __new_CDenseSubsetFeatures(EPrimitiveType g)
static SHOGUN_BASIC_CLASS CSGObject * __new_CSOBI(EPrimitiveType g)
Definition: class_list.cpp:815
static SHOGUN_BASIC_CLASS CSGObject * __new_CChiSquareDistance(EPrimitiveType g)
Definition: class_list.cpp:673
static SHOGUN_BASIC_CLASS CSGObject * __new_CKMeans(EPrimitiveType g)
Definition: class_list.cpp:848
static SHOGUN_TEMPLATE_CLASS CSGObject * __new_CStreamingFileFromDenseFeatures(EPrimitiveType g)
Definition: class_list.cpp:942
static SHOGUN_BASIC_CLASS CSGObject * __new_CSparsePolyFeatures(EPrimitiveType g)
Definition: class_list.cpp:682
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:810
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:631
static SHOGUN_BASIC_CLASS CSGObject * __new_CExponentialKernel(EPrimitiveType g)
Definition: class_list.cpp:901
type to encapsulate the results of an evaluation run. May contain confidence interval (if conf_int_al...
static SHOGUN_BASIC_CLASS CSGObject * __new_CDynamicObjectArray(EPrimitiveType g)
Definition: class_list.cpp:599
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:675
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:865
static SHOGUN_BASIC_CLASS CSGObject * __new_CLinearKernel(EPrimitiveType g)
Definition: class_list.cpp:852
static SHOGUN_BASIC_CLASS CSGObject * __new_CKernelMachine(EPrimitiveType g)
Definition: class_list.cpp:729
static SHOGUN_BASIC_CLASS CSGObject * __new_CLogKernel(EPrimitiveType g)
Definition: class_list.cpp:916
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:908
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_CStochasticSOSVM(EPrimitiveType g)
Definition: class_list.cpp:507
static SHOGUN_BASIC_CLASS CSGObject * __new_CDisjointSet(EPrimitiveType g)
Definition: class_list.cpp:489
static SHOGUN_BASIC_CLASS CSGObject * __new_CSquaredLoss(EPrimitiveType g)
Definition: class_list.cpp:844
static SHOGUN_BASIC_CLASS CSGObject * __new_CSVMSGD(EPrimitiveType g)
Definition: class_list.cpp:559
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:918
static SHOGUN_BASIC_CLASS CSGObject * __new_CFastICA(EPrimitiveType g)
Definition: class_list.cpp:813
Multiple Kernel Learning for regression.
Definition: MKLRegression.h:25
static SHOGUN_BASIC_CLASS CSGObject * __new_CGaussianMatchStringKernel(EPrimitiveType g)
Definition: class_list.cpp:882
Class CMeanSquaredLogError used to compute an error of regression model.
static SHOGUN_BASIC_CLASS CSGObject * __new_CCCSOSVM(EPrimitiveType g)
Definition: class_list.cpp:492
static SHOGUN_BASIC_CLASS CSGObject * __new_CBALMeasure(EPrimitiveType g)
Definition: class_list.cpp:763
Class LDA implements regularized Linear Discriminant Analysis.
Definition: LDA.h:52
static SHOGUN_BASIC_CLASS CSGObject * __new_CLibLinear(EPrimitiveType g)
Definition: class_list.cpp:567
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:885
static SHOGUN_BASIC_CLASS CSGObject * __new_CSqrtDiagKernelNormalizer(EPrimitiveType g)
Definition: class_list.cpp:909
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:895
static SHOGUN_BASIC_CLASS CSGObject * __new_CLatentFeatures(EPrimitiveType g)
Definition: class_list.cpp:696
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:484
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:633
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:705
CCSOSVM.
Definition: CCSOSVM.h:43
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:694
static SHOGUN_TEMPLATE_CLASS CSGObject * __new_CStringFeatures(EPrimitiveType g)
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:841
static SHOGUN_BASIC_CLASS CSGObject * __new_CMPDSVM(EPrimitiveType g)
Definition: class_list.cpp:563
Gaussian Kernel with Automatic Relevance Detection.
static SHOGUN_BASIC_CLASS CSGObject * __new_CPluginEstimate(EPrimitiveType g)
Definition: class_list.cpp:555
static SHOGUN_BASIC_CLASS CSGObject * __new_CTaskGroup(EPrimitiveType g)
Definition: class_list.cpp:836
Class for storing MKL weights in every fold of cross-validation.
static SHOGUN_BASIC_CLASS CSGObject * __new_CParser(EPrimitiveType g)
Definition: class_list.cpp:520
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:481
static SHOGUN_BASIC_CLASS CSGObject * __new_CMultitaskKernelMaskNormalizer(EPrimitiveType g)
Definition: class_list.cpp:833
static SHOGUN_BASIC_CLASS CSGObject * __new_CEPInferenceMethod(EPrimitiveType g)
Definition: class_list.cpp:738
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:667
static SHOGUN_BASIC_CLASS CSGObject * __new_CUWedge(EPrimitiveType g)
Definition: class_list.cpp:525
static SHOGUN_BASIC_CLASS CSGObject * __new_CProbitLikelihood(EPrimitiveType g)
Definition: class_list.cpp:740
Weighted Majority Vote implementation.
static SHOGUN_BASIC_CLASS CSGObject * __new_CFKFeatures(EPrimitiveType g)
Definition: class_list.cpp:688
static SHOGUN_BASIC_CLASS CSGObject * __new_CWaveletKernel(EPrimitiveType g)
Definition: class_list.cpp:864
CSGObject *(* new_sgserializable_t)(EPrimitiveType generic)
static SHOGUN_BASIC_CLASS CSGObject * __new_CRecallMeasure(EPrimitiveType g)
Definition: class_list.cpp:767
static SHOGUN_BASIC_CLASS CSGObject * __new_CMulticlassOneVsRestStrategy(EPrimitiveType g)
Definition: class_list.cpp:646
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:838
The helper class to specialize base class instances of labels.
Definition: LabelsFactory.h:29
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:711
static SHOGUN_BASIC_CLASS CSGObject * __new_CGaussianKernel(EPrimitiveType g)
Definition: class_list.cpp:859
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:766
static SHOGUN_BASIC_CLASS CSGObject * __new_CSerialComputationEngine(EPrimitiveType g)
Definition: class_list.cpp:597
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:880
This class can be used to convert a document collection contained in a CStringFeatures<char> 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:739
static SHOGUN_BASIC_CLASS CSGObject * __new_CGaussianProcessMachine(EPrimitiveType g)
Definition: class_list.cpp:735
static SHOGUN_BASIC_CLASS CSGObject * __new_CGMM(EPrimitiveType g)
Definition: class_list.cpp:846
static SHOGUN_BASIC_CLASS CSGObject * __new_CANOVAKernel(EPrimitiveType g)
Definition: class_list.cpp:913
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:858
static SHOGUN_BASIC_CLASS CSGObject * __new_CKernelDistance(EPrimitiveType g)
Definition: class_list.cpp:659
static SHOGUN_BASIC_CLASS CSGObject * __new_CF1Measure(EPrimitiveType g)
Definition: class_list.cpp:765
static SHOGUN_BASIC_CLASS CSGObject * __new_CGradientModelSelection(EPrimitiveType g)
Definition: class_list.cpp:719
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:744
Simple class which specifies the direction of gradient search.
Implementation of Leave one out cross-validation on the base of CCrossValidationSplitting. Produces subset index sets consisting of one element,for each label.
CMajorityVote is a CWeightedMajorityVote combiner, where each Machine's weight in the ensemble is 1...
Definition: MajorityVote.h:22
static SHOGUN_BASIC_CLASS CSGObject * __new_CJADiagOrth(EPrimitiveType g)
Definition: class_list.cpp:526
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:709
static SHOGUN_BASIC_CLASS CSGObject * __new_CMajorityVote(EPrimitiveType g)
Definition: class_list.cpp:548
Class for reading from a string.
Definition: Parser.h:19
static SHOGUN_BASIC_CLASS CSGObject * __new_CMMDKernelSelectionMax(EPrimitiveType g)
Definition: class_list.cpp:586
Class SGObject is the base class of all shogun objects.
Definition: SGObject.h:102
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:626
static SHOGUN_BASIC_CLASS CSGObject * __new_CMultitaskClusteredLogisticRegression(EPrimitiveType g)
Definition: class_list.cpp:821
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:575
static SHOGUN_BASIC_CLASS CSGObject * __new_CECOCStrategy(EPrimitiveType g)
Definition: class_list.cpp:635
static SHOGUN_BASIC_CLASS CSGObject * __new_CScatterKernelNormalizer(EPrimitiveType g)
Definition: class_list.cpp:903
static SHOGUN_BASIC_CLASS CSGObject * __new_CMultitaskKernelTreeNormalizer(EPrimitiveType g)
Definition: class_list.cpp:826
static SHOGUN_BASIC_CLASS CSGObject * __new_CSparseSpatialSampleStringKernel(EPrimitiveType g)
Definition: class_list.cpp:872
static SHOGUN_BASIC_CLASS CSGObject * __new_CTanimotoDistance(EPrimitiveType g)
Definition: class_list.cpp:661
KMeans clustering, partitions the data into k (a-priori specified) clusters.
Definition: KMeans.h:48
static SHOGUN_BASIC_CLASS CSGObject * __new_CStudentsTLikelihood(EPrimitiveType g)
Definition: class_list.cpp:742
Computes the standard linear kernel on dense char valued features.
static SHOGUN_BASIC_CLASS CSGObject * __new_CImplicitWeightedSpecFeatures(EPrimitiveType g)
Definition: class_list.cpp:684
static SHOGUN_BASIC_CLASS CSGObject * __new_CIndexBlock(EPrimitiveType g)
Definition: class_list.cpp:610
static SHOGUN_BASIC_CLASS CSGObject * __new_CVwNonAdaptiveLearner(EPrimitiveType g)
Definition: class_list.cpp:580
An experimental kernel inspired by the WeightedDegreePositionStringKernel and the Gaussian kernel...
static SHOGUN_BASIC_CLASS CSGObject * __new_CGPBTSVM(EPrimitiveType g)
Definition: class_list.cpp:573
static SHOGUN_TEMPLATE_CLASS CSGObject * __new_CBinaryStream(EPrimitiveType g)
static SHOGUN_BASIC_CLASS CSGObject * __new_CPruneVarSubMean(EPrimitiveType g)
Definition: class_list.cpp:790
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:614
static SHOGUN_BASIC_CLASS CSGObject * __new_CWRACCMeasure(EPrimitiveType g)
Definition: class_list.cpp:764
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:618
static SHOGUN_BASIC_CLASS CSGObject * __new_CSquaredHingeLoss(EPrimitiveType g)
Definition: class_list.cpp:839
static SHOGUN_BASIC_CLASS CSGObject * __new_CLaRank(EPrimitiveType g)
Definition: class_list.cpp:653
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:749
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:896
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:589
static SHOGUN_BASIC_CLASS CSGObject * __new_CKernelPCA(EPrimitiveType g)
Definition: class_list.cpp:795
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:539
static SHOGUN_BASIC_CLASS CSGObject * __new_CTDistributedStochasticNeighborEmbedding(EPrimitiveType g)
Definition: class_list.cpp:798
static SHOGUN_BASIC_CLASS CSGObject * __new_CFirstElementKernelNormalizer(EPrimitiveType g)
Definition: class_list.cpp:911
static SHOGUN_BASIC_CLASS CSGObject * __new_CErrorRateMeasure(EPrimitiveType g)
Definition: class_list.cpp:762
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:902
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:551
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:639
static SHOGUN_BASIC_CLASS CSGObject * __new_CDimensionReductionPreprocessor(EPrimitiveType g)
Definition: class_list.cpp:786
static SHOGUN_BASIC_CLASS CSGObject * __new_CCrossValidationResult(EPrimitiveType g)
Definition: class_list.cpp:757
#define STRING_LEN
Definition: common.h:53
static SHOGUN_BASIC_CLASS CSGObject * __new_CSOSVMHelper(EPrimitiveType g)
Definition: class_list.cpp:502
static class_list_entry_t class_list[]
static SHOGUN_BASIC_CLASS CSGObject * __new_CModelSelectionParameters(EPrimitiveType g)
Definition: class_list.cpp:718
static SHOGUN_BASIC_CLASS CSGObject * __new_CDomainAdaptationMulticlassLibLinear(EPrimitiveType g)
Definition: class_list.cpp:819
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:679
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:741
static SHOGUN_BASIC_CLASS CSGObject * __new_CManhattanMetric(EPrimitiveType g)
Definition: class_list.cpp:656
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:822
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:683
static SHOGUN_BASIC_CLASS CSGObject * __new_CLinearRidgeRegression(EPrimitiveType g)
Definition: class_list.cpp:776
static SHOGUN_BASIC_CLASS CSGObject * __new_CCSVFile(EPrimitiveType g)
Definition: class_list.cpp:518
static SHOGUN_BASIC_CLASS CSGObject * __new_CDistanceMachine(EPrimitiveType g)
Definition: class_list.cpp:730
static SHOGUN_BASIC_CLASS CSGObject * __new_CSequence(EPrimitiveType g)
Definition: class_list.cpp:490
static SHOGUN_BASIC_CLASS CSGObject * __new_CLogLoss(EPrimitiveType g)
Definition: class_list.cpp:842
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:701
static SHOGUN_BASIC_CLASS CSGObject * __new_CJade(EPrimitiveType g)
Definition: class_list.cpp:817
static SHOGUN_BASIC_CLASS CSGObject * __new_CDiceKernelNormalizer(EPrimitiveType g)
Definition: class_list.cpp:906
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:805
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:638
static SHOGUN_BASIC_CLASS CSGObject * __new_CMulticlassLibSVM(EPrimitiveType g)
Definition: class_list.cpp:643
static SHOGUN_BASIC_CLASS CSGObject * __new_CDelimiterTokenizer(EPrimitiveType g)
Definition: class_list.cpp:604
static SHOGUN_BASIC_CLASS CSGObject * __new_CQPBSVMLib(EPrimitiveType g)
Definition: class_list.cpp:568
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:892
UI math.
Definition: GUIMath.h:22
static SHOGUN_BASIC_CLASS CSGObject * __new_CFixedDegreeStringKernel(EPrimitiveType g)
Definition: class_list.cpp:887
static SHOGUN_BASIC_CLASS CSGObject * __new_CSpectrumMismatchRBFKernel(EPrimitiveType g)
Definition: class_list.cpp:886
static SHOGUN_BASIC_CLASS CSGObject * __new_CDynProg(EPrimitiveType g)
Definition: class_list.cpp:488
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:849
static SHOGUN_BASIC_CLASS CSGObject * __new_CLinearMachine(EPrimitiveType g)
Definition: class_list.cpp:733
static SHOGUN_BASIC_CLASS CSGObject * __new_CGaussianShortRealKernel(EPrimitiveType g)
Definition: class_list.cpp:855
static SHOGUN_BASIC_CLASS CSGObject * __new_CSplineKernel(EPrimitiveType g)
Definition: class_list.cpp:863
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:503
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:862
static SHOGUN_BASIC_CLASS CSGObject * __new_CKernelRidgeRegression(EPrimitiveType g)
Definition: class_list.cpp:778
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:672
static SHOGUN_BASIC_CLASS CSGObject * __new_CRidgeKernelNormalizer(EPrimitiveType g)
Definition: class_list.cpp:910
static SHOGUN_BASIC_CLASS CSGObject * __new_CWeightedCommWordStringKernel(EPrimitiveType g)
Definition: class_list.cpp:890
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:677
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:640
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:629
the scatter kernel normalizer
Class KNN, an implementation of the standard k-nearest neigbor classifier.
Definition: KNN.h:55
Dynamic array class for CSGObject pointers that creates an array that can be used like a list or an a...
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:803
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:917
Class CDisjointSet data structure for linking graph nodes It'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:622
static SHOGUN_BASIC_CLASS CSGObject * __new_CGNPPSVM(EPrimitiveType g)
Definition: class_list.cpp:562
static SHOGUN_BASIC_CLASS CSGObject * __new_CDomainAdaptationSVMLinear(EPrimitiveType g)
Definition: class_list.cpp:820
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:717
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:687
static SHOGUN_BASIC_CLASS CSGObject * __new_CNewtonSVM(EPrimitiveType g)
Definition: class_list.cpp:564
class BALMeasure used to measure balanced error of 2-class classifier.
Class NearestCentroid, an implementation of Nearest Shrunk Centroid classifier.
static SHOGUN_BASIC_CLASS CSGObject * __new_CIndividualJobResultAggregator(EPrimitiveType g)
Definition: class_list.cpp:533
A Binary file access class.
Definition: BinaryFile.h:28
static SHOGUN_BASIC_CLASS CSGObject * __new_CIOBuffer(EPrimitiveType g)
Definition: class_list.cpp:508
SimpleLocalityImprovedString kernel, is a ``simplified'' 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:879
static SHOGUN_BASIC_CLASS CSGObject * __new_CMeanSquaredLogError(EPrimitiveType g)
Definition: class_list.cpp:748
static SHOGUN_BASIC_CLASS CSGObject * __new_CLibSVMFile(EPrimitiveType g)
Definition: class_list.cpp:514
static SHOGUN_BASIC_CLASS CSGObject * __new_CStratifiedCrossValidationSplitting(EPrimitiveType g)
Definition: class_list.cpp:752
static SHOGUN_BASIC_CLASS CSGObject * __new_CMeanRule(EPrimitiveType g)
Definition: class_list.cpp:547
static SHOGUN_BASIC_CLASS CSGObject * __new_CSparseInverseCovariance(EPrimitiveType g)
Definition: class_list.cpp:521
static SHOGUN_BASIC_CLASS CSGObject * __new_CSparseEuclideanDistance(EPrimitiveType g)
Definition: class_list.cpp:660
static SHOGUN_BASIC_CLASS CSGObject * __new_CProductKernel(EPrimitiveType g)
Definition: class_list.cpp:898
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:888
static SHOGUN_BASIC_CLASS CSGObject * __new_CVwEnvironment(EPrimitiveType g)
Definition: class_list.cpp:579
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:713
static SHOGUN_BASIC_CLASS CSGObject * __new_CStructuredOutputMachine(EPrimitiveType g)
Definition: class_list.cpp:732
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:860
static SHOGUN_BASIC_CLASS CSGObject * __new_CVwAdaptiveLearner(EPrimitiveType g)
Definition: class_list.cpp:581
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:657
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:636
static SHOGUN_BASIC_CLASS CSGObject * __new_CROCEvaluation(EPrimitiveType g)
Definition: class_list.cpp:759
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:825
static SHOGUN_BASIC_CLASS CSGObject * __new_CIdentityKernelNormalizer(EPrimitiveType g)
Definition: class_list.cpp:907
static SHOGUN_BASIC_CLASS CSGObject * __new_CQuadraticTimeMMD(EPrimitiveType g)
Definition: class_list.cpp:593
static SHOGUN_BASIC_CLASS CSGObject * __new_CGradientResult(EPrimitiveType g)
Definition: class_list.cpp:770
static SHOGUN_BASIC_CLASS CSGObject * __new_CConjugateGradientSolver(EPrimitiveType g)
Definition: class_list.cpp:545
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:745
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:731
static SHOGUN_BASIC_CLASS CSGObject * __new_CCustomMahalanobisDistance(EPrimitiveType g)
Definition: class_list.cpp:655
class MultitaskLinearMachine, a base class for linear multitask classifiers
static SHOGUN_BASIC_CLASS CSGObject * __new_CAveragedPerceptron(EPrimitiveType g)
Definition: class_list.cpp:554
Class MeanSquaredError used to compute an error of regression model.
static SHOGUN_TEMPLATE_CLASS CSGObject * __new_CParseBuffer(EPrimitiveType g)
Definition: class_list.cpp:988
static SHOGUN_BASIC_CLASS CSGObject * __new_CStatistics(EPrimitiveType g)
Definition: class_list.cpp:546
Class that models a Student's-t likelihood.
: Pseudo random number geneartor
Definition: Random.h:32
static SHOGUN_BASIC_CLASS CSGObject * __new_CFFSep(EPrimitiveType g)
Definition: class_list.cpp:812
static SHOGUN_BASIC_CLASS CSGObject * __new_CGNPPLib(EPrimitiveType g)
Definition: class_list.cpp:557
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:681
static SHOGUN_BASIC_CLASS CSGObject * __new_CMeanSquaredError(EPrimitiveType g)
Definition: class_list.cpp:773
static SHOGUN_BASIC_CLASS CSGObject * __new_CSortWordString(EPrimitiveType g)
Definition: class_list.cpp:784
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:893
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:505
static SHOGUN_BASIC_CLASS CSGObject * __new_CRandomConditionalProbabilityTree(EPrimitiveType g)
Definition: class_list.cpp:625
static SHOGUN_BASIC_CLASS CSGObject * __new_CIntronList(EPrimitiveType g)
Definition: class_list.cpp:497
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:680
static SHOGUN_BASIC_CLASS CSGObject * __new_CHessianLocallyLinearEmbedding(EPrimitiveType g)
Definition: class_list.cpp:800
static SHOGUN_BASIC_CLASS CSGObject * __new_CMKLRegression(EPrimitiveType g)
Definition: class_list.cpp:781
static SHOGUN_BASIC_CLASS CSGObject * __new_CLBPPyrDotFeatures(EPrimitiveType g)
Definition: class_list.cpp:700
static SHOGUN_BASIC_CLASS CSGObject * __new_CLogitLikelihood(EPrimitiveType g)
Definition: class_list.cpp:737
The class DummyFeatures implements features that only know the number of feature objects (but don'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:804
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:598
static SHOGUN_BASIC_CLASS CSGObject * __new_CPolyFeatures(EPrimitiveType g)
Definition: class_list.cpp:686
static SHOGUN_BASIC_CLASS CSGObject * __new_CJobResult(EPrimitiveType g)
Definition: class_list.cpp:596
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:689
static SHOGUN_BASIC_CLASS CSGObject * __new_CGUIHMM(EPrimitiveType g)
Definition: class_list.cpp:716
static SHOGUN_BASIC_CLASS CSGObject * __new_CHierarchical(EPrimitiveType g)
Definition: class_list.cpp:847
static SHOGUN_BASIC_CLASS CSGObject * __new_CGUITime(EPrimitiveType g)
Definition: class_list.cpp:708
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:652
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:509
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:868
static SHOGUN_BASIC_CLASS CSGObject * __new_CVwRegressor(EPrimitiveType g)
Definition: class_list.cpp:577
static SHOGUN_BASIC_CLASS CSGObject * __new_CTStudentKernel(EPrimitiveType g)
Definition: class_list.cpp:861
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:811
Class of the Expectation Propagation (EP) posterior approximation inference method.
The class CDelimiterTokenizer is used to tokenize a SGVector<char> 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:565
static SHOGUN_BASIC_CLASS CSGObject * __new_CPlif(EPrimitiveType g)
Definition: class_list.cpp:506
static SHOGUN_BASIC_CLASS CSGObject * __new_CHistogramWordStringKernel(EPrimitiveType g)
Definition: class_list.cpp:881
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:703
Container class that returns results from GradientEvaluation. It contains the function value as well ...
static SHOGUN_BASIC_CLASS CSGObject * __new_CTableFactorType(EPrimitiveType g)
Definition: class_list.cpp:496
Class CFactorGraph a factor graph is a structured input in general.
Definition: FactorGraph.h:25
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:883
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:627
static SHOGUN_BASIC_CLASS CSGObject * __new_CHMM(EPrimitiveType g)
Definition: class_list.cpp:616
static SHOGUN_BASIC_CLASS CSGObject * __new_CMMDKernelSelectionOpt(EPrimitiveType g)
Definition: class_list.cpp:588
static SHOGUN_BASIC_CLASS CSGObject * __new_CLabelsFactory(EPrimitiveType g)
Definition: class_list.cpp:483
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:905
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:601
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:612
#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:690
class OnlineSVMSGD
Definition: OnlineSVMSGD.h:33
static SHOGUN_BASIC_CLASS CSGObject * __new_CSVM(EPrimitiveType g)
Definition: class_list.cpp:566
static SHOGUN_BASIC_CLASS CSGObject * __new_CGaussianLikelihood(EPrimitiveType g)
Definition: class_list.cpp:743
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:831
static SHOGUN_BASIC_CLASS CSGObject * __new_CCombinedFeatures(EPrimitiveType g)
Definition: class_list.cpp:697
The Fully Independent Conditional Training inference method class.
static SHOGUN_BASIC_CLASS CSGObject * __new_CPNorm(EPrimitiveType g)
Definition: class_list.cpp:789
static SHOGUN_BASIC_CLASS CSGObject * __new_CCrossValidationMulticlassStorage(EPrimitiveType g)
Definition: class_list.cpp:754
static SHOGUN_BASIC_CLASS CSGObject * __new_CStreamingVwCacheFile(EPrimitiveType g)
Definition: class_list.cpp:513
class CStructuredAccuracy used to compute accuracy of structured classification
static SHOGUN_BASIC_CLASS CSGObject * __new_CJensenMetric(EPrimitiveType g)
Definition: class_list.cpp:664
static SHOGUN_BASIC_CLASS CSGObject * __new_CSigmoidKernel(EPrimitiveType g)
Definition: class_list.cpp:857
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:574
Class for work with binary file in protobuf format.
Definition: ProtobufFile.h:38
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:663
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:606
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:799
static SHOGUN_BASIC_CLASS CSGObject * __new_CRationalApproximationIndividualJob(EPrimitiveType g)
Definition: class_list.cpp:535
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)
Definition: class_list.cpp:919
static SHOGUN_BASIC_CLASS CSGObject * __new_CMultitaskTraceLogisticRegression(EPrimitiveType g)
Definition: class_list.cpp:835
static SHOGUN_TEMPLATE_CLASS CSGObject * __new_CStringFileFeatures(EPrimitiveType g)
static SHOGUN_BASIC_CLASS CSGObject * __new_CSpecificityMeasure(EPrimitiveType g)
Definition: class_list.cpp:769
static SHOGUN_BASIC_CLASS CSGObject * __new_CBalancedConditionalProbabilityTree(EPrimitiveType g)
Definition: class_list.cpp:624
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:504
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:785
static SHOGUN_BASIC_CLASS CSGObject * __new_CLibSVM(EPrimitiveType g)
Definition: class_list.cpp:560
A generic Support Vector Machine Interface.
Definition: SVM.h:47
static SHOGUN_BASIC_CLASS CSGObject * __new_CLanczosEigenSolver(EPrimitiveType g)
Definition: class_list.cpp:541
UI features.
Definition: GUIFeatures.h:36
static SHOGUN_BASIC_CLASS CSGObject * __new_CKernelMulticlassMachine(EPrimitiveType g)
Definition: class_list.cpp:728
Class which collects generic mathematical functions.
Definition: Math.h:133
static SHOGUN_BASIC_CLASS CSGObject * __new_CMAPInference(EPrimitiveType g)
Definition: class_list.cpp:485
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:824
static SHOGUN_BASIC_CLASS CSGObject * __new_CStreamingVwFile(EPrimitiveType g)
Definition: class_list.cpp:511
static SHOGUN_BASIC_CLASS CSGObject * __new_CPrecisionMeasure(EPrimitiveType g)
Definition: class_list.cpp:768
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:486
static SHOGUN_BASIC_CLASS CSGObject * __new_CPerceptron(EPrimitiveType g)
Definition: class_list.cpp:584
static SHOGUN_BASIC_CLASS CSGObject * __new_CMKLClassification(EPrimitiveType g)
Definition: class_list.cpp:553
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:793
: Bagging algorithm i.e. bootstrap aggregating
static SHOGUN_BASIC_CLASS CSGObject * __new_CList(EPrimitiveType g)
Definition: class_list.cpp:607
static SHOGUN_BASIC_CLASS CSGObject * __new_CLinearLocalTangentSpaceAlignment(EPrimitiveType g)
Definition: class_list.cpp:797
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:702
static SHOGUN_BASIC_CLASS CSGObject * __new_CECOCDiscriminantEncoder(EPrimitiveType g)
Definition: class_list.cpp:630
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:782
used to estimate inverse covariance matrix using graphical lasso
static SHOGUN_BASIC_CLASS CSGObject * __new_CMulticlassModel(EPrimitiveType g)
Definition: class_list.cpp:493
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:877
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:587
static SHOGUN_BASIC_CLASS CSGObject * __new_CMKLOneClass(EPrimitiveType g)
Definition: class_list.cpp:552
implement DotFeatures for the polynomial kernel
static SHOGUN_BASIC_CLASS CSGObject * __new_CMulticlassAccuracy(EPrimitiveType g)
Definition: class_list.cpp:756
class CanberraMetric
static SHOGUN_BASIC_CLASS CSGObject * __new_CAccuracyMeasure(EPrimitiveType g)
Definition: class_list.cpp:761
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:623
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:747
static SHOGUN_BASIC_CLASS CSGObject * __new_CGUIClassifier(EPrimitiveType g)
Definition: class_list.cpp:707
static SHOGUN_BASIC_CLASS CSGObject * __new_CClusteringAccuracy(EPrimitiveType g)
Definition: class_list.cpp:746
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:491
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:536
static SHOGUN_BASIC_CLASS CSGObject * __new_CLatentSOSVM(EPrimitiveType g)
Definition: class_list.cpp:676
#define SHOGUN_TEMPLATE_CLASS
Definition: class_list.cpp:473
static SHOGUN_BASIC_CLASS CSGObject * __new_CVwNativeCacheReader(EPrimitiveType g)
Definition: class_list.cpp:576
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 ["a", "b", "c", "d"], with n_grams = 2 and skips = 2, one would get the following combinations : ["a", "ab", "ac" (skipped 1), "ad" (skipped 2), "b", "bc", "bd" (skipped 1), "c", "cd", "d"].
static SHOGUN_TEMPLATE_CLASS CSGObject * __new_CDecompressString(EPrimitiveType g)
static SHOGUN_BASIC_CLASS CSGObject * __new_CHash(EPrimitiveType g)
Definition: class_list.cpp:608
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:632
static SHOGUN_BASIC_CLASS CSGObject * __new_CPowerKernel(EPrimitiveType g)
Definition: class_list.cpp:897
static SHOGUN_BASIC_CLASS CSGObject * __new_CVowpalWabbit(EPrimitiveType g)
Definition: class_list.cpp:578
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:894
static SHOGUN_BASIC_CLASS CSGObject * __new_CStringSubsequenceKernel(EPrimitiveType g)
Definition: class_list.cpp:884
static SHOGUN_BASIC_CLASS CSGObject * __new_CIndexBlockTree(EPrimitiveType g)
Definition: class_list.cpp:609
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:542
class CManifoldSculpting used to embed data using manifold sculpting embedding algorithm.
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:780
static SHOGUN_BASIC_CLASS CSGObject * __new_CTron(EPrimitiveType g)
Definition: class_list.cpp:845
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:840
Hidden Markov Model.
Definition: HMM.h:371
LibLinear for regression.
static SHOGUN_BASIC_CLASS CSGObject * __new_CMulticlassOneVsOneStrategy(EPrimitiveType g)
Definition: class_list.cpp:650
static SHOGUN_BASIC_CLASS CSGObject * __new_CManhattanWordDistance(EPrimitiveType g)
Definition: class_list.cpp:658
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:669
static SHOGUN_BASIC_CLASS CSGObject * __new_CMultitaskKernelNormalizer(EPrimitiveType g)
Definition: class_list.cpp:829
Base class of the components of StructuredLabels.
class EuclideanDistance
static SHOGUN_BASIC_CLASS CSGObject * __new_CGMNPLib(EPrimitiveType g)
Definition: class_list.cpp:654
static SHOGUN_BASIC_CLASS CSGObject * __new_CHammingWordDistance(EPrimitiveType g)
Definition: class_list.cpp:668
CLogLoss implements the logarithmic loss function.
Definition: LogLoss.h:22
VarianceKernelNormalizer divides by the ``variance''.
static SHOGUN_BASIC_CLASS CSGObject * __new_CPlifMatrix(EPrimitiveType g)
Definition: class_list.cpp:501
Collection of Hashing Functions.
Definition: Hash.h:47
static SHOGUN_BASIC_CLASS CSGObject * __new_CSVMOcas(EPrimitiveType g)
Definition: class_list.cpp:571
static SHOGUN_BASIC_CLASS CSGObject * __new_CMath(EPrimitiveType g)
Definition: class_list.cpp:523
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:585
static SHOGUN_BASIC_CLASS CSGObject * __new_CFactorAnalysis(EPrimitiveType g)
Definition: class_list.cpp:801
The class FKFeatures implements Fischer kernel features obtained from two Hidden Markov models...
Definition: FKFeatures.h:41
static SHOGUN_BASIC_CLASS CSGObject * __new_CMultitaskL12LogisticRegression(EPrimitiveType g)
Definition: class_list.cpp:832
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:674
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:549
static SHOGUN_BASIC_CLASS CSGObject * __new_CLatentLabels(EPrimitiveType g)
Definition: class_list.cpp:475
The zero mean function class.
Definition: ZeroMean.h:23
Class CVwNativeCacheWriter writes a cache exactly as that which would be produced by VW's default cac...
static SHOGUN_BASIC_CLASS CSGObject * __new_CBaggingMachine(EPrimitiveType g)
Definition: class_list.cpp:726
static SHOGUN_BASIC_CLASS CSGObject * __new_CLogPlusOne(EPrimitiveType g)
Definition: class_list.cpp:791
static SHOGUN_BASIC_CLASS CSGObject * __new_COnlineLinearMachine(EPrimitiveType g)
Definition: class_list.cpp:727
static SHOGUN_BASIC_CLASS CSGObject * __new_CIntegration(EPrimitiveType g)
Definition: class_list.cpp:522
static SHOGUN_BASIC_CLASS CSGObject * __new_CMulticlassSOLabels(EPrimitiveType g)
Definition: class_list.cpp:498
static SHOGUN_BASIC_CLASS CSGObject * __new_CLibSVMOneClass(EPrimitiveType g)
Definition: class_list.cpp:572
static SHOGUN_BASIC_CLASS CSGObject * __new_CLogRationalApproximationIndividual(EPrimitiveType g)
Definition: class_list.cpp:537
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:695
static SHOGUN_BASIC_CLASS CSGObject * __new_CDataGenerator(EPrimitiveType g)
Definition: class_list.cpp:699
class SOBI
Definition: SOBI.h:37
static SHOGUN_BASIC_CLASS CSGObject * __new_CGaussianARDKernel(EPrimitiveType g)
Definition: class_list.cpp:853
Kernel Mean Matching.

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