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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 "lib/NGramTokenizer.h"
19 #include "lib/Cache.h"
20 #include "lib/Data.h"
21 #include "lib/IndexBlockGroup.h"
22 #include "lib/List.h"
23 #include "lib/Compressor.h"
24 #include "lib/Time.h"
25 #include "lib/StructuredData.h"
26 #include "lib/DelimiterTokenizer.h"
27 #include "lib/DynamicObjectArray.h"
28 #include "lib/BitString.h"
29 #include "lib/Hash.h"
30 #include "lib/IndexBlock.h"
31 #include "lib/Set.h"
32 #include "lib/IndexBlockTree.h"
33 #include "lib/DynamicArray.h"
34 #include "lib/Signal.h"
35 #include "lib/CircularBuffer.h"
41 #include "kernel/WaveKernel.h"
42 #include "kernel/BesselKernel.h"
43 #include "kernel/SigmoidKernel.h"
45 #include "kernel/CauchyKernel.h"
47 #include "kernel/Chi2Kernel.h"
48 #include "kernel/GaussianKernel.h"
49 #include "kernel/ANOVAKernel.h"
51 #include "kernel/CustomKernel.h"
53 #include "kernel/WaveletKernel.h"
54 #include "kernel/ConstKernel.h"
55 #include "kernel/LogKernel.h"
56 #include "kernel/AUCKernel.h"
57 #include "kernel/SplineKernel.h"
59 #include "kernel/ProductKernel.h"
60 #include "kernel/LinearKernel.h"
62 #include "kernel/PowerKernel.h"
63 #include "kernel/DiagKernel.h"
65 #include "kernel/CombinedKernel.h"
66 #include "kernel/PolyKernel.h"
67 #include "kernel/CircularKernel.h"
69 #include "kernel/SphericalKernel.h"
71 #include "kernel/DistanceKernel.h"
72 #include "kernel/LinearARDKernel.h"
73 #include "kernel/PyramidChi2.h"
76 #include "kernel/TStudentKernel.h"
110 #include "metric/LMNN.h"
132 #include "preprocessor/KernelPCA.h"
136 #include "preprocessor/PCA.h"
140 #include "preprocessor/PNorm.h"
143 #include "preprocessor/LogPlusOne.h"
144 #include "preprocessor/NormOne.h"
145 #include "preprocessor/SumOne.h"
146 #include "converter/Isomap.h"
158 #include "converter/DiffusionMaps.h"
162 #include "converter/ica/JediSep.h"
163 #include "converter/ica/Jade.h"
164 #include "converter/ica/SOBI.h"
165 #include "converter/ica/FFSep.h"
166 #include "converter/ica/FastICA.h"
167 #include "converter/ica/UWedgeSep.h"
168 #include "multiclass/QDA.h"
170 #include "multiclass/LaRank.h"
174 #include "multiclass/KNN.h"
176 #include "multiclass/GMNPSVM.h"
177 #include "multiclass/MCLDA.h"
178 #include "multiclass/ScatterSVM.h"
181 #include "multiclass/ShareBoost.h"
183 #include "multiclass/GMNPLib.h"
208 #include "statistics/HSIC.h"
210 #include "labels/LabelsFactory.h"
212 #include "labels/MulticlassLabels.h"
213 #include "labels/LatentLabels.h"
215 #include "labels/RegressionLabels.h"
216 #include "labels/BinaryLabels.h"
217 #include "labels/StructuredLabels.h"
223 #include "ui/GUIMath.h"
224 #include "ui/GUIDistance.h"
225 #include "ui/GUIConverter.h"
226 #include "ui/GUIPluginEstimate.h"
227 #include "ui/GUIFeatures.h"
228 #include "ui/GUIKernel.h"
229 #include "ui/GUIHMM.h"
230 #include "ui/GUILabels.h"
231 #include "ui/GUIPreprocessor.h"
232 #include "ui/GUIClassifier.h"
233 #include "ui/GUITime.h"
234 #include "ui/GUIStructure.h"
235 #include "distributions/LinearHMM.h"
236 #include "distributions/GHMM.h"
237 #include "distributions/Histogram.h"
239 #include "distributions/HMM.h"
240 #include "distributions/Gaussian.h"
243 #include "distance/KernelDistance.h"
246 #include "distance/CosineDistance.h"
250 #include "distance/GeodesicMetric.h"
253 #include "distance/JensenMetric.h"
254 #include "distance/CustomDistance.h"
255 #include "distance/CanberraMetric.h"
268 #include "regression/svr/LibSVR.h"
272 #include "transfer/multitask/Task.h"
288 #include "io/BinaryFile.h"
289 #include "io/SimpleFile.h"
290 #include "io/LibSVMFile.h"
291 #include "io/IOBuffer.h"
292 #include "io/BinaryStream.h"
293 #include "io/LineReader.h"
294 #include "io/MemoryMappedFile.h"
296 #include "io/CSVFile.h"
297 #include "io/Parser.h"
309 #include "classifier/Perceptron.h"
313 #include "classifier/LDA.h"
318 #include "classifier/vw/VwParser.h"
329 #include "classifier/svm/GNPPLib.h"
330 #include "classifier/svm/LibSVM.h"
331 #include "classifier/svm/GNPPSVM.h"
333 #include "classifier/svm/SGDQN.h"
334 #include "classifier/svm/GPBTSVM.h"
335 #include "classifier/svm/SVMLin.h"
336 #include "classifier/svm/SVMSGD.h"
338 #include "classifier/svm/SVM.h"
339 #include "classifier/svm/MPDSVM.h"
341 #include "classifier/svm/SVMOcas.h"
342 #include "loss/SquaredLoss.h"
343 #include "loss/SmoothHingeLoss.h"
344 #include "loss/LogLoss.h"
345 #include "loss/HingeLoss.h"
346 #include "loss/SquaredHingeLoss.h"
347 #include "loss/LogLossMargin.h"
348 #include "mathematics/Math.h"
349 #include "mathematics/Random.h"
350 #include "mathematics/Statistics.h"
352 #include "mathematics/Integration.h"
355 #include "mathematics/ajd/QDiag.h"
357 #include "mathematics/ajd/UWedge.h"
358 #include "mathematics/ajd/FFDiag.h"
359 #include "mathematics/ajd/JADiag.h"
376 #include "machine/DistanceMachine.h"
382 #include "machine/KernelMachine.h"
385 #include "machine/BaggingMachine.h"
387 #include "machine/LinearMachine.h"
389 #include "machine/Machine.h"
395 #include "machine/gp/ZeroMean.h"
400 #include "ensemble/MeanRule.h"
401 #include "ensemble/MajorityVote.h"
403 #include "features/MatrixFeatures.h"
408 #include "features/WDFeatures.h"
412 #include "features/Subset.h"
413 #include "features/DummyFeatures.h"
414 #include "features/DataGenerator.h"
415 #include "features/Alphabet.h"
416 #include "features/SNPFeatures.h"
417 #include "features/SparseFeatures.h"
418 #include "features/DenseFeatures.h"
420 #include "features/TOPFeatures.h"
421 #include "features/FKFeatures.h"
424 #include "features/StringFeatures.h"
425 #include "features/PolyFeatures.h"
430 #include "features/SubsetStack.h"
431 #include "features/LatentFeatures.h"
443 #include "latent/LatentSVM.h"
444 #include "latent/LatentSOSVM.h"
445 #include "clustering/KMeans.h"
446 #include "clustering/GMM.h"
447 #include "clustering/Hierarchical.h"
448 #include "structure/TwoStateModel.h"
449 #include "structure/SegmentLoss.h"
450 #include "structure/FactorType.h"
451 #include "structure/Factor.h"
452 #include "structure/CCSOSVM.h"
455 #include "structure/PlifMatrix.h"
456 #include "structure/DisjointSet.h"
457 #include "structure/IntronList.h"
458 #include "structure/PlifArray.h"
459 #include "structure/MAPInference.h"
460 #include "structure/DynProg.h"
462 #include "structure/HMSVMModel.h"
465 #include "structure/SOSVMHelper.h"
466 #include "structure/Plif.h"
468 #include "structure/FactorGraph.h"
469 using namespace shogun;
470 
471 #define SHOGUN_TEMPLATE_CLASS
472 #define SHOGUN_BASIC_CLASS
473 static SHOGUN_BASIC_CLASS CSGObject* __new_CNGramTokenizer(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CNGramTokenizer(): NULL; }
474 static SHOGUN_BASIC_CLASS CSGObject* __new_CData(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CData(): NULL; }
475 static SHOGUN_BASIC_CLASS CSGObject* __new_CIndexBlockGroup(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CIndexBlockGroup(): NULL; }
476 static SHOGUN_BASIC_CLASS CSGObject* __new_CListElement(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CListElement(): NULL; }
477 static SHOGUN_BASIC_CLASS CSGObject* __new_CList(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CList(): NULL; }
478 static SHOGUN_BASIC_CLASS CSGObject* __new_CCompressor(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CCompressor(): NULL; }
479 static SHOGUN_BASIC_CLASS CSGObject* __new_CTime(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CTime(): NULL; }
480 static SHOGUN_BASIC_CLASS CSGObject* __new_CStructuredData(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CStructuredData(): NULL; }
481 static SHOGUN_BASIC_CLASS CSGObject* __new_CDelimiterTokenizer(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CDelimiterTokenizer(): NULL; }
482 static SHOGUN_BASIC_CLASS CSGObject* __new_CDynamicObjectArray(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CDynamicObjectArray(): NULL; }
483 static SHOGUN_BASIC_CLASS CSGObject* __new_CBitString(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CBitString(): NULL; }
484 static SHOGUN_BASIC_CLASS CSGObject* __new_CHash(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CHash(): NULL; }
485 static SHOGUN_BASIC_CLASS CSGObject* __new_CIndexBlock(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CIndexBlock(): NULL; }
486 static SHOGUN_BASIC_CLASS CSGObject* __new_CIndexBlockTree(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CIndexBlockTree(): NULL; }
487 static SHOGUN_BASIC_CLASS CSGObject* __new_CJobResult(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CJobResult(): NULL; }
489 static SHOGUN_BASIC_CLASS CSGObject* __new_CSignal(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CSignal(): NULL; }
490 static SHOGUN_BASIC_CLASS CSGObject* __new_CCircularBuffer(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CCircularBuffer(): NULL; }
491 static SHOGUN_BASIC_CLASS CSGObject* __new_CWaveKernel(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CWaveKernel(): NULL; }
492 static SHOGUN_BASIC_CLASS CSGObject* __new_CBesselKernel(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CBesselKernel(): NULL; }
493 static SHOGUN_BASIC_CLASS CSGObject* __new_CSigmoidKernel(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CSigmoidKernel(): NULL; }
494 static SHOGUN_BASIC_CLASS CSGObject* __new_CMultiquadricKernel(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CMultiquadricKernel(): NULL; }
495 static SHOGUN_BASIC_CLASS CSGObject* __new_CCauchyKernel(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CCauchyKernel(): NULL; }
497 static SHOGUN_BASIC_CLASS CSGObject* __new_CChi2Kernel(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CChi2Kernel(): NULL; }
498 static SHOGUN_BASIC_CLASS CSGObject* __new_CGaussianKernel(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CGaussianKernel(): NULL; }
499 static SHOGUN_BASIC_CLASS CSGObject* __new_CANOVAKernel(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CANOVAKernel(): NULL; }
501 static SHOGUN_BASIC_CLASS CSGObject* __new_CCustomKernel(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CCustomKernel(): NULL; }
503 static SHOGUN_BASIC_CLASS CSGObject* __new_CWaveletKernel(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CWaveletKernel(): NULL; }
504 static SHOGUN_BASIC_CLASS CSGObject* __new_CConstKernel(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CConstKernel(): NULL; }
505 static SHOGUN_BASIC_CLASS CSGObject* __new_CLogKernel(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CLogKernel(): NULL; }
506 static SHOGUN_BASIC_CLASS CSGObject* __new_CAUCKernel(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CAUCKernel(): NULL; }
507 static SHOGUN_BASIC_CLASS CSGObject* __new_CSplineKernel(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CSplineKernel(): NULL; }
508 static SHOGUN_BASIC_CLASS CSGObject* __new_CGaussianShiftKernel(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CGaussianShiftKernel(): NULL; }
509 static SHOGUN_BASIC_CLASS CSGObject* __new_CProductKernel(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CProductKernel(): NULL; }
510 static SHOGUN_BASIC_CLASS CSGObject* __new_CLinearKernel(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CLinearKernel(): NULL; }
511 static SHOGUN_BASIC_CLASS CSGObject* __new_CGaussianARDKernel(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CGaussianARDKernel(): NULL; }
512 static SHOGUN_BASIC_CLASS CSGObject* __new_CPowerKernel(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CPowerKernel(): NULL; }
513 static SHOGUN_BASIC_CLASS CSGObject* __new_CDiagKernel(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CDiagKernel(): NULL; }
515 static SHOGUN_BASIC_CLASS CSGObject* __new_CCombinedKernel(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CCombinedKernel(): NULL; }
516 static SHOGUN_BASIC_CLASS CSGObject* __new_CPolyKernel(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CPolyKernel(): NULL; }
517 static SHOGUN_BASIC_CLASS CSGObject* __new_CCircularKernel(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CCircularKernel(): NULL; }
519 static SHOGUN_BASIC_CLASS CSGObject* __new_CSphericalKernel(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CSphericalKernel(): NULL; }
521 static SHOGUN_BASIC_CLASS CSGObject* __new_CDistanceKernel(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CDistanceKernel(): NULL; }
522 static SHOGUN_BASIC_CLASS CSGObject* __new_CLinearARDKernel(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CLinearARDKernel(): NULL; }
530 static SHOGUN_BASIC_CLASS CSGObject* __new_CCommWordStringKernel(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CCommWordStringKernel(): NULL; }
532 static SHOGUN_BASIC_CLASS CSGObject* __new_COligoStringKernel(EPrimitiveType g) { return g == PT_NOT_GENERIC? new COligoStringKernel(): NULL; }
535 static SHOGUN_BASIC_CLASS CSGObject* __new_CLinearStringKernel(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CLinearStringKernel(): NULL; }
538 static SHOGUN_BASIC_CLASS CSGObject* __new_CSpectrumRBFKernel(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CSpectrumRBFKernel(): NULL; }
542 static SHOGUN_BASIC_CLASS CSGObject* __new_CSNPStringKernel(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CSNPStringKernel(): NULL; }
546 static SHOGUN_BASIC_CLASS CSGObject* __new_CPyramidChi2(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CPyramidChi2(): NULL; }
547 static SHOGUN_BASIC_CLASS CSGObject* __new_CJensenShannonKernel(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CJensenShannonKernel(): NULL; }
548 static SHOGUN_BASIC_CLASS CSGObject* __new_CExponentialKernel(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CExponentialKernel(): NULL; }
558 static SHOGUN_BASIC_CLASS CSGObject* __new_CDiceKernelNormalizer(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CDiceKernelNormalizer(): NULL; }
559 static SHOGUN_BASIC_CLASS CSGObject* __new_CTStudentKernel(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CTStudentKernel(): NULL; }
560 static SHOGUN_BASIC_CLASS CSGObject* __new_CLMNN(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CLMNN(): NULL; }
561 static SHOGUN_BASIC_CLASS CSGObject* __new_CLMNNStatistics(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CLMNNStatistics(): NULL; }
562 static SHOGUN_BASIC_CLASS CSGObject* __new_CMeanSquaredLogError(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CMeanSquaredLogError(): NULL; }
563 static SHOGUN_BASIC_CLASS CSGObject* __new_CGradientCriterion(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CGradientCriterion(): NULL; }
564 static SHOGUN_BASIC_CLASS CSGObject* __new_CGradientResult(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CGradientResult(): NULL; }
565 static SHOGUN_BASIC_CLASS CSGObject* __new_CStructuredAccuracy(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CStructuredAccuracy(): NULL; }
567 static SHOGUN_BASIC_CLASS CSGObject* __new_CGradientEvaluation(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CGradientEvaluation(): NULL; }
569 static SHOGUN_BASIC_CLASS CSGObject* __new_CCrossValidation(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CCrossValidation(): NULL; }
572 static SHOGUN_BASIC_CLASS CSGObject* __new_CMulticlassAccuracy(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CMulticlassAccuracy(): NULL; }
574 static SHOGUN_BASIC_CLASS CSGObject* __new_CMeanAbsoluteError(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CMeanAbsoluteError(): NULL; }
575 static SHOGUN_BASIC_CLASS CSGObject* __new_CROCEvaluation(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CROCEvaluation(): NULL; }
578 static SHOGUN_BASIC_CLASS CSGObject* __new_CPRCEvaluation(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CPRCEvaluation(): NULL; }
579 static SHOGUN_BASIC_CLASS CSGObject* __new_CClusteringAccuracy(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CClusteringAccuracy(): NULL; }
581 static SHOGUN_BASIC_CLASS CSGObject* __new_CAccuracyMeasure(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CAccuracyMeasure(): NULL; }
582 static SHOGUN_BASIC_CLASS CSGObject* __new_CErrorRateMeasure(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CErrorRateMeasure(): NULL; }
583 static SHOGUN_BASIC_CLASS CSGObject* __new_CBALMeasure(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CBALMeasure(): NULL; }
584 static SHOGUN_BASIC_CLASS CSGObject* __new_CWRACCMeasure(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CWRACCMeasure(): NULL; }
585 static SHOGUN_BASIC_CLASS CSGObject* __new_CF1Measure(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CF1Measure(): NULL; }
587 static SHOGUN_BASIC_CLASS CSGObject* __new_CRecallMeasure(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CRecallMeasure(): NULL; }
588 static SHOGUN_BASIC_CLASS CSGObject* __new_CPrecisionMeasure(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CPrecisionMeasure(): NULL; }
589 static SHOGUN_BASIC_CLASS CSGObject* __new_CSpecificityMeasure(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CSpecificityMeasure(): NULL; }
592 static SHOGUN_BASIC_CLASS CSGObject* __new_CMeanSquaredError(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CMeanSquaredError(): NULL; }
593 static SHOGUN_BASIC_CLASS CSGObject* __new_CTron(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CTron(): NULL; }
594 static SHOGUN_BASIC_CLASS CSGObject* __new_CKernelPCA(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CKernelPCA(): NULL; }
596 static SHOGUN_BASIC_CLASS CSGObject* __new_CRescaleFeatures(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CRescaleFeatures(): NULL; }
597 static SHOGUN_BASIC_CLASS CSGObject* __new_CHomogeneousKernelMap(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CHomogeneousKernelMap(): NULL; }
598 static SHOGUN_BASIC_CLASS CSGObject* __new_CPCA(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CPCA(): NULL; }
599 static SHOGUN_BASIC_CLASS CSGObject* __new_CSortWordString(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CSortWordString(): NULL; }
600 static SHOGUN_BASIC_CLASS CSGObject* __new_CSortUlongString(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CSortUlongString(): NULL; }
601 static SHOGUN_BASIC_CLASS CSGObject* __new_CPNorm(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CPNorm(): NULL; }
602 static SHOGUN_BASIC_CLASS CSGObject* __new_CPruneVarSubMean(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CPruneVarSubMean(): NULL; }
604 static SHOGUN_BASIC_CLASS CSGObject* __new_CLogPlusOne(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CLogPlusOne(): NULL; }
605 static SHOGUN_BASIC_CLASS CSGObject* __new_CNormOne(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CNormOne(): NULL; }
606 static SHOGUN_BASIC_CLASS CSGObject* __new_CSumOne(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CSumOne(): NULL; }
607 static SHOGUN_BASIC_CLASS CSGObject* __new_CIsomap(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CIsomap(): NULL; }
609 static SHOGUN_BASIC_CLASS CSGObject* __new_CHashedDocConverter(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CHashedDocConverter(): NULL; }
610 static SHOGUN_BASIC_CLASS CSGObject* __new_CLaplacianEigenmaps(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CLaplacianEigenmaps(): NULL; }
612 static SHOGUN_BASIC_CLASS CSGObject* __new_CJediSep(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CJediSep(): NULL; }
613 static SHOGUN_BASIC_CLASS CSGObject* __new_CJade(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CJade(): NULL; }
614 static SHOGUN_BASIC_CLASS CSGObject* __new_CSOBI(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CSOBI(): NULL; }
615 static SHOGUN_BASIC_CLASS CSGObject* __new_CFFSep(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CFFSep(): NULL; }
616 static SHOGUN_BASIC_CLASS CSGObject* __new_CFastICA(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CFastICA(): NULL; }
617 static SHOGUN_BASIC_CLASS CSGObject* __new_CUWedgeSep(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CUWedgeSep(): NULL; }
619 static SHOGUN_BASIC_CLASS CSGObject* __new_CManifoldSculpting(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CManifoldSculpting(): NULL; }
625 static SHOGUN_BASIC_CLASS CSGObject* __new_CDiffusionMaps(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CDiffusionMaps(): NULL; }
626 static SHOGUN_BASIC_CLASS CSGObject* __new_CFactorAnalysis(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CFactorAnalysis(): NULL; }
629 static SHOGUN_BASIC_CLASS CSGObject* __new_CQDA(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CQDA(): NULL; }
631 static SHOGUN_BASIC_CLASS CSGObject* __new_CLaRank(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CLaRank(): NULL; }
635 static SHOGUN_BASIC_CLASS CSGObject* __new_CMulticlassOCAS(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CMulticlassOCAS(): NULL; }
636 static SHOGUN_BASIC_CLASS CSGObject* __new_CMulticlassLibSVM(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CMulticlassLibSVM(): NULL; }
637 static SHOGUN_BASIC_CLASS CSGObject* __new_CKNN(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CKNN(): NULL; }
639 static SHOGUN_BASIC_CLASS CSGObject* __new_CGMNPSVM(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CGMNPSVM(): NULL; }
640 static SHOGUN_BASIC_CLASS CSGObject* __new_CMCLDA(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CMCLDA(): NULL; }
641 static SHOGUN_BASIC_CLASS CSGObject* __new_CScatterSVM(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CScatterSVM(): NULL; }
642 static SHOGUN_BASIC_CLASS CSGObject* __new_CGaussianNaiveBayes(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CGaussianNaiveBayes(): NULL; }
644 static SHOGUN_BASIC_CLASS CSGObject* __new_CRelaxedTree(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CRelaxedTree(): NULL; }
647 static SHOGUN_BASIC_CLASS CSGObject* __new_CECOCStrategy(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CECOCStrategy(): NULL; }
648 static SHOGUN_BASIC_CLASS CSGObject* __new_CECOCHDDecoder(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CECOCHDDecoder(): NULL; }
649 static SHOGUN_BASIC_CLASS CSGObject* __new_CECOCIHDDecoder(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CECOCIHDDecoder(): NULL; }
650 static SHOGUN_BASIC_CLASS CSGObject* __new_CECOCLLBDecoder(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CECOCLLBDecoder(): NULL; }
652 static SHOGUN_BASIC_CLASS CSGObject* __new_CECOCEDDecoder(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CECOCEDDecoder(): NULL; }
653 static SHOGUN_BASIC_CLASS CSGObject* __new_CECOCOVREncoder(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CECOCOVREncoder(): NULL; }
654 static SHOGUN_BASIC_CLASS CSGObject* __new_CECOCOVOEncoder(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CECOCOVOEncoder(): NULL; }
656 static SHOGUN_BASIC_CLASS CSGObject* __new_CECOCAEDDecoder(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CECOCAEDDecoder(): NULL; }
657 static SHOGUN_BASIC_CLASS CSGObject* __new_CECOCForestEncoder(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CECOCForestEncoder(): NULL; }
658 static SHOGUN_BASIC_CLASS CSGObject* __new_CMulticlassSVM(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CMulticlassSVM(): NULL; }
659 static SHOGUN_BASIC_CLASS CSGObject* __new_CShareBoost(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CShareBoost(): NULL; }
660 static SHOGUN_BASIC_CLASS CSGObject* __new_CMulticlassLibLinear(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CMulticlassLibLinear(): NULL; }
661 static SHOGUN_BASIC_CLASS CSGObject* __new_CGMNPLib(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CGMNPLib(): NULL; }
666 static SHOGUN_BASIC_CLASS CSGObject* __new_CQuadraticTimeMMD(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CQuadraticTimeMMD(): NULL; }
668 static SHOGUN_BASIC_CLASS CSGObject* __new_CKernelMeanMatching(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CKernelMeanMatching(): NULL; }
670 static SHOGUN_BASIC_CLASS CSGObject* __new_CHSIC(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CHSIC(): NULL; }
671 static SHOGUN_BASIC_CLASS CSGObject* __new_CLinearTimeMMD(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CLinearTimeMMD(): NULL; }
672 static SHOGUN_BASIC_CLASS CSGObject* __new_CLabelsFactory(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CLabelsFactory(): NULL; }
674 static SHOGUN_BASIC_CLASS CSGObject* __new_CFactorGraphLabels(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CFactorGraphLabels(): NULL; }
675 static SHOGUN_BASIC_CLASS CSGObject* __new_CMulticlassLabels(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CMulticlassLabels(): NULL; }
676 static SHOGUN_BASIC_CLASS CSGObject* __new_CLatentLabels(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CLatentLabels(): NULL; }
678 static SHOGUN_BASIC_CLASS CSGObject* __new_CRegressionLabels(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CRegressionLabels(): NULL; }
679 static SHOGUN_BASIC_CLASS CSGObject* __new_CBinaryLabels(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CBinaryLabels(): NULL; }
680 static SHOGUN_BASIC_CLASS CSGObject* __new_CStructuredLabels(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CStructuredLabels(): NULL; }
683 static SHOGUN_BASIC_CLASS CSGObject* __new_CParameterCombination(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CParameterCombination(): NULL; }
686 static SHOGUN_BASIC_CLASS CSGObject* __new_CGUIMath(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CGUIMath(): NULL; }
687 static SHOGUN_BASIC_CLASS CSGObject* __new_CGUIDistance(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CGUIDistance(): NULL; }
688 static SHOGUN_BASIC_CLASS CSGObject* __new_CGUIConverter(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CGUIConverter(): NULL; }
689 static SHOGUN_BASIC_CLASS CSGObject* __new_CGUIPluginEstimate(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CGUIPluginEstimate(): NULL; }
690 static SHOGUN_BASIC_CLASS CSGObject* __new_CGUIFeatures(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CGUIFeatures(): NULL; }
691 static SHOGUN_BASIC_CLASS CSGObject* __new_CGUIKernel(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CGUIKernel(): NULL; }
692 static SHOGUN_BASIC_CLASS CSGObject* __new_CGUIHMM(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CGUIHMM(): NULL; }
693 static SHOGUN_BASIC_CLASS CSGObject* __new_CGUILabels(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CGUILabels(): NULL; }
694 static SHOGUN_BASIC_CLASS CSGObject* __new_CGUIPreprocessor(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CGUIPreprocessor(): NULL; }
695 static SHOGUN_BASIC_CLASS CSGObject* __new_CGUIClassifier(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CGUIClassifier(): NULL; }
696 static SHOGUN_BASIC_CLASS CSGObject* __new_CGUITime(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CGUITime(): NULL; }
697 static SHOGUN_BASIC_CLASS CSGObject* __new_CGUIStructure(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CGUIStructure(): NULL; }
698 static SHOGUN_BASIC_CLASS CSGObject* __new_CLinearHMM(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CLinearHMM(): NULL; }
699 static SHOGUN_BASIC_CLASS CSGObject* __new_CGaussianDistribution(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CGaussianDistribution(): NULL; }
700 static SHOGUN_BASIC_CLASS CSGObject* __new_CGHMM(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CGHMM(): NULL; }
701 static SHOGUN_BASIC_CLASS CSGObject* __new_CHistogram(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CHistogram(): NULL; }
702 static SHOGUN_BASIC_CLASS CSGObject* __new_CPositionalPWM(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CPositionalPWM(): NULL; }
703 static SHOGUN_BASIC_CLASS CSGObject* __new_CHMM(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CHMM(): NULL; }
704 static SHOGUN_BASIC_CLASS CSGObject* __new_CGaussian(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CGaussian(): NULL; }
705 static SHOGUN_BASIC_CLASS CSGObject* __new_CManhattanMetric(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CManhattanMetric(): NULL; }
706 static SHOGUN_BASIC_CLASS CSGObject* __new_CKernelDistance(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CKernelDistance(): NULL; }
707 static SHOGUN_BASIC_CLASS CSGObject* __new_CEuclideanDistance(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CEuclideanDistance(): NULL; }
708 static SHOGUN_BASIC_CLASS CSGObject* __new_CHammingWordDistance(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CHammingWordDistance(): NULL; }
709 static SHOGUN_BASIC_CLASS CSGObject* __new_CCosineDistance(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CCosineDistance(): NULL; }
710 static SHOGUN_BASIC_CLASS CSGObject* __new_CCanberraWordDistance(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CCanberraWordDistance(): NULL; }
711 static SHOGUN_BASIC_CLASS CSGObject* __new_CMahalanobisDistance(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CMahalanobisDistance(): NULL; }
712 static SHOGUN_BASIC_CLASS CSGObject* __new_CBrayCurtisDistance(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CBrayCurtisDistance(): NULL; }
713 static SHOGUN_BASIC_CLASS CSGObject* __new_CGeodesicMetric(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CGeodesicMetric(): NULL; }
714 static SHOGUN_BASIC_CLASS CSGObject* __new_CMinkowskiMetric(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CMinkowskiMetric(): NULL; }
715 static SHOGUN_BASIC_CLASS CSGObject* __new_CChebyshewMetric(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CChebyshewMetric(): NULL; }
716 static SHOGUN_BASIC_CLASS CSGObject* __new_CJensenMetric(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CJensenMetric(): NULL; }
717 static SHOGUN_BASIC_CLASS CSGObject* __new_CCustomDistance(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CCustomDistance(): NULL; }
718 static SHOGUN_BASIC_CLASS CSGObject* __new_CCanberraMetric(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CCanberraMetric(): NULL; }
720 static SHOGUN_BASIC_CLASS CSGObject* __new_CChiSquareDistance(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CChiSquareDistance(): NULL; }
724 static SHOGUN_BASIC_CLASS CSGObject* __new_CTanimotoDistance(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CTanimotoDistance(): NULL; }
727 static SHOGUN_BASIC_CLASS CSGObject* __new_CLeastAngleRegression(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CLeastAngleRegression(): NULL; }
728 static SHOGUN_BASIC_CLASS CSGObject* __new_CMKLRegression(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CMKLRegression(): NULL; }
729 static SHOGUN_BASIC_CLASS CSGObject* __new_CLibSVR(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CLibSVR(): NULL; }
730 static SHOGUN_BASIC_CLASS CSGObject* __new_CLibLinearRegression(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CLibLinearRegression(): NULL; }
735 static SHOGUN_BASIC_CLASS CSGObject* __new_CTask(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CTask(): NULL; }
736 static SHOGUN_BASIC_CLASS CSGObject* __new_CTaskGroup(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CTaskGroup(): NULL; }
740 static SHOGUN_BASIC_CLASS CSGObject* __new_CNode(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CNode(): NULL; }
741 static SHOGUN_BASIC_CLASS CSGObject* __new_CTaxonomy(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CTaxonomy(): NULL; }
745 static SHOGUN_BASIC_CLASS CSGObject* __new_CLibLinearMTL(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CLibLinearMTL(): NULL; }
748 static SHOGUN_BASIC_CLASS CSGObject* __new_CTaskTree(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CTaskTree(): NULL; }
753 static SHOGUN_BASIC_CLASS CSGObject* __new_CStreamingVwCacheFile(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CStreamingVwCacheFile(): NULL; }
755 static SHOGUN_BASIC_CLASS CSGObject* __new_CStreamingFile(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CStreamingFile(): NULL; }
756 static SHOGUN_BASIC_CLASS CSGObject* __new_CStreamingVwFile(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CStreamingVwFile(): NULL; }
757 static SHOGUN_BASIC_CLASS CSGObject* __new_CStreamingAsciiFile(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CStreamingAsciiFile(): NULL; }
758 static SHOGUN_BASIC_CLASS CSGObject* __new_CBinaryFile(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CBinaryFile(): NULL; }
759 static SHOGUN_BASIC_CLASS CSGObject* __new_CLibSVMFile(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CLibSVMFile(): NULL; }
760 static SHOGUN_BASIC_CLASS CSGObject* __new_CIOBuffer(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CIOBuffer(): NULL; }
761 static SHOGUN_BASIC_CLASS CSGObject* __new_CLineReader(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CLineReader(): NULL; }
763 static SHOGUN_BASIC_CLASS CSGObject* __new_CCSVFile(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CCSVFile(): NULL; }
764 static SHOGUN_BASIC_CLASS CSGObject* __new_CParser(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CParser(): NULL; }
765 static SHOGUN_BASIC_CLASS CSGObject* __new_CNearestCentroid(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CNearestCentroid(): NULL; }
766 static SHOGUN_BASIC_CLASS CSGObject* __new_CPluginEstimate(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CPluginEstimate(): NULL; }
767 static SHOGUN_BASIC_CLASS CSGObject* __new_CPerceptron(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CPerceptron(): NULL; }
768 static SHOGUN_BASIC_CLASS CSGObject* __new_CAveragedPerceptron(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CAveragedPerceptron(): NULL; }
771 static SHOGUN_BASIC_CLASS CSGObject* __new_CMKLClassification(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CMKLClassification(): NULL; }
772 static SHOGUN_BASIC_CLASS CSGObject* __new_CMKLMulticlass(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CMKLMulticlass(): NULL; }
773 static SHOGUN_BASIC_CLASS CSGObject* __new_CMKLOneClass(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CMKLOneClass(): NULL; }
774 static SHOGUN_BASIC_CLASS CSGObject* __new_CVwRegressor(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CVwRegressor(): NULL; }
775 static SHOGUN_BASIC_CLASS CSGObject* __new_CVwParser(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CVwParser(): NULL; }
776 static SHOGUN_BASIC_CLASS CSGObject* __new_CVwNonAdaptiveLearner(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CVwNonAdaptiveLearner(): NULL; }
777 static SHOGUN_BASIC_CLASS CSGObject* __new_CVwAdaptiveLearner(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CVwAdaptiveLearner(): NULL; }
778 static SHOGUN_BASIC_CLASS CSGObject* __new_CVwNativeCacheWriter(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CVwNativeCacheWriter(): NULL; }
779 static SHOGUN_BASIC_CLASS CSGObject* __new_CVwNativeCacheReader(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CVwNativeCacheReader(): NULL; }
780 static SHOGUN_BASIC_CLASS CSGObject* __new_CVowpalWabbit(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CVowpalWabbit(): NULL; }
781 static SHOGUN_BASIC_CLASS CSGObject* __new_CVwEnvironment(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CVwEnvironment(): NULL; }
782 static SHOGUN_BASIC_CLASS CSGObject* __new_CLDA(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CLDA(): NULL; }
783 static SHOGUN_BASIC_CLASS CSGObject* __new_CLibSVMOneClass(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CLibSVMOneClass(): NULL; }
784 static SHOGUN_BASIC_CLASS CSGObject* __new_CWDSVMOcas(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CWDSVMOcas(): NULL; }
785 static SHOGUN_BASIC_CLASS CSGObject* __new_COnlineSVMSGD(EPrimitiveType g) { return g == PT_NOT_GENERIC? new COnlineSVMSGD(): NULL; }
786 static SHOGUN_BASIC_CLASS CSGObject* __new_CQPBSVMLib(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CQPBSVMLib(): NULL; }
787 static SHOGUN_BASIC_CLASS CSGObject* __new_CGNPPLib(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CGNPPLib(): NULL; }
788 static SHOGUN_BASIC_CLASS CSGObject* __new_CLibSVM(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CLibSVM(): NULL; }
789 static SHOGUN_BASIC_CLASS CSGObject* __new_CGNPPSVM(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CGNPPSVM(): NULL; }
790 static SHOGUN_BASIC_CLASS CSGObject* __new_COnlineLibLinear(EPrimitiveType g) { return g == PT_NOT_GENERIC? new COnlineLibLinear(): NULL; }
791 static SHOGUN_BASIC_CLASS CSGObject* __new_CSGDQN(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CSGDQN(): NULL; }
792 static SHOGUN_BASIC_CLASS CSGObject* __new_CGPBTSVM(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CGPBTSVM(): NULL; }
793 static SHOGUN_BASIC_CLASS CSGObject* __new_CSVMLin(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CSVMLin(): NULL; }
794 static SHOGUN_BASIC_CLASS CSGObject* __new_CSVMSGD(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CSVMSGD(): NULL; }
795 static SHOGUN_BASIC_CLASS CSGObject* __new_CLibLinear(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CLibLinear(): NULL; }
796 static SHOGUN_BASIC_CLASS CSGObject* __new_CSVM(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CSVM(): NULL; }
797 static SHOGUN_BASIC_CLASS CSGObject* __new_CMPDSVM(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CMPDSVM(): NULL; }
798 static SHOGUN_BASIC_CLASS CSGObject* __new_CNewtonSVM(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CNewtonSVM(): NULL; }
799 static SHOGUN_BASIC_CLASS CSGObject* __new_CSVMOcas(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CSVMOcas(): NULL; }
800 static SHOGUN_BASIC_CLASS CSGObject* __new_CSquaredLoss(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CSquaredLoss(): NULL; }
801 static SHOGUN_BASIC_CLASS CSGObject* __new_CSmoothHingeLoss(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CSmoothHingeLoss(): NULL; }
802 static SHOGUN_BASIC_CLASS CSGObject* __new_CLogLoss(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CLogLoss(): NULL; }
803 static SHOGUN_BASIC_CLASS CSGObject* __new_CHingeLoss(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CHingeLoss(): NULL; }
804 static SHOGUN_BASIC_CLASS CSGObject* __new_CSquaredHingeLoss(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CSquaredHingeLoss(): NULL; }
805 static SHOGUN_BASIC_CLASS CSGObject* __new_CLogLossMargin(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CLogLossMargin(): NULL; }
806 static SHOGUN_BASIC_CLASS CSGObject* __new_CMath(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CMath(): NULL; }
807 static SHOGUN_BASIC_CLASS CSGObject* __new_CRandom(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CRandom(): NULL; }
808 static SHOGUN_BASIC_CLASS CSGObject* __new_CStatistics(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CStatistics(): NULL; }
809 static SHOGUN_BASIC_CLASS CSGObject* __new_CJADiagOrth(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CJADiagOrth(): NULL; }
810 static SHOGUN_BASIC_CLASS CSGObject* __new_CQDiag(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CQDiag(): NULL; }
811 static SHOGUN_BASIC_CLASS CSGObject* __new_CJediDiag(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CJediDiag(): NULL; }
812 static SHOGUN_BASIC_CLASS CSGObject* __new_CUWedge(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CUWedge(): NULL; }
813 static SHOGUN_BASIC_CLASS CSGObject* __new_CFFDiag(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CFFDiag(): NULL; }
814 static SHOGUN_BASIC_CLASS CSGObject* __new_CJADiag(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CJADiag(): NULL; }
816 static SHOGUN_BASIC_CLASS CSGObject* __new_CIntegration(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CIntegration(): NULL; }
820 static SHOGUN_BASIC_CLASS CSGObject* __new_CDirectEigenSolver(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CDirectEigenSolver(): NULL; }
821 static SHOGUN_BASIC_CLASS CSGObject* __new_CLanczosEigenSolver(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CLanczosEigenSolver(): NULL; }
822 static SHOGUN_BASIC_CLASS CSGObject* __new_CLogDetEstimator(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CLogDetEstimator(): NULL; }
823 static SHOGUN_BASIC_CLASS CSGObject* __new_CDenseExactLogJob(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CDenseExactLogJob(): NULL; }
828 static SHOGUN_BASIC_CLASS CSGObject* __new_CDenseMatrixExactLog(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CDenseMatrixExactLog(): NULL; }
830 static SHOGUN_BASIC_CLASS CSGObject* __new_CNormalSampler(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CNormalSampler(): NULL; }
832 static SHOGUN_BASIC_CLASS CSGObject* __new_CDistanceMachine(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CDistanceMachine(): NULL; }
838 static SHOGUN_BASIC_CLASS CSGObject* __new_CKernelMachine(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CKernelMachine(): NULL; }
840 static SHOGUN_BASIC_CLASS CSGObject* __new_COnlineLinearMachine(EPrimitiveType g) { return g == PT_NOT_GENERIC? new COnlineLinearMachine(): NULL; }
841 static SHOGUN_BASIC_CLASS CSGObject* __new_CBaggingMachine(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CBaggingMachine(): NULL; }
843 static SHOGUN_BASIC_CLASS CSGObject* __new_CLinearMachine(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CLinearMachine(): NULL; }
844 static SHOGUN_BASIC_CLASS CSGObject* __new_CGaussianLikelihood(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CGaussianLikelihood(): NULL; }
845 static SHOGUN_BASIC_CLASS CSGObject* __new_CLogitLikelihood(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CLogitLikelihood(): NULL; }
846 static SHOGUN_BASIC_CLASS CSGObject* __new_CEPInferenceMethod(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CEPInferenceMethod(): NULL; }
847 static SHOGUN_BASIC_CLASS CSGObject* __new_CStudentsTLikelihood(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CStudentsTLikelihood(): NULL; }
848 static SHOGUN_BASIC_CLASS CSGObject* __new_CFITCInferenceMethod(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CFITCInferenceMethod(): NULL; }
849 static SHOGUN_BASIC_CLASS CSGObject* __new_CZeroMean(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CZeroMean(): NULL; }
850 static SHOGUN_BASIC_CLASS CSGObject* __new_CExactInferenceMethod(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CExactInferenceMethod(): NULL; }
852 static SHOGUN_BASIC_CLASS CSGObject* __new_CProbitLikelihood(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CProbitLikelihood(): NULL; }
854 static SHOGUN_BASIC_CLASS CSGObject* __new_CMachine(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CMachine(): NULL; }
855 static SHOGUN_BASIC_CLASS CSGObject* __new_CWeightedMajorityVote(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CWeightedMajorityVote(): NULL; }
856 static SHOGUN_BASIC_CLASS CSGObject* __new_CMeanRule(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CMeanRule(): NULL; }
857 static SHOGUN_BASIC_CLASS CSGObject* __new_CMajorityVote(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CMajorityVote(): NULL; }
859 static SHOGUN_BASIC_CLASS CSGObject* __new_CCombinedFeatures(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CCombinedFeatures(): NULL; }
862 static SHOGUN_BASIC_CLASS CSGObject* __new_CStreamingVwFeatures(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CStreamingVwFeatures(): NULL; }
865 static SHOGUN_BASIC_CLASS CSGObject* __new_CFactorGraphFeatures(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CFactorGraphFeatures(): NULL; }
866 static SHOGUN_BASIC_CLASS CSGObject* __new_CWDFeatures(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CWDFeatures(): NULL; }
868 static SHOGUN_BASIC_CLASS CSGObject* __new_CHashedDocDotFeatures(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CHashedDocDotFeatures(): NULL; }
869 static SHOGUN_BASIC_CLASS CSGObject* __new_CSubset(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CSubset(): NULL; }
870 static SHOGUN_BASIC_CLASS CSGObject* __new_CDummyFeatures(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CDummyFeatures(): NULL; }
871 static SHOGUN_BASIC_CLASS CSGObject* __new_CDataGenerator(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CDataGenerator(): NULL; }
872 static SHOGUN_BASIC_CLASS CSGObject* __new_CAlphabet(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CAlphabet(): NULL; }
873 static SHOGUN_BASIC_CLASS CSGObject* __new_CSNPFeatures(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CSNPFeatures(): NULL; }
874 static SHOGUN_BASIC_CLASS CSGObject* __new_CCombinedDotFeatures(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CCombinedDotFeatures(): NULL; }
875 static SHOGUN_BASIC_CLASS CSGObject* __new_CTOPFeatures(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CTOPFeatures(): NULL; }
876 static SHOGUN_BASIC_CLASS CSGObject* __new_CFKFeatures(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CFKFeatures(): NULL; }
877 static SHOGUN_BASIC_CLASS CSGObject* __new_CSparsePolyFeatures(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CSparsePolyFeatures(): NULL; }
878 static SHOGUN_BASIC_CLASS CSGObject* __new_CExplicitSpecFeatures(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CExplicitSpecFeatures(): NULL; }
879 static SHOGUN_BASIC_CLASS CSGObject* __new_CPolyFeatures(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CPolyFeatures(): NULL; }
880 static SHOGUN_BASIC_CLASS CSGObject* __new_CHashedWDFeatures(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CHashedWDFeatures(): NULL; }
881 static SHOGUN_BASIC_CLASS CSGObject* __new_CLBPPyrDotFeatures(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CLBPPyrDotFeatures(): NULL; }
882 static SHOGUN_BASIC_CLASS CSGObject* __new_CSubsetStack(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CSubsetStack(): NULL; }
883 static SHOGUN_BASIC_CLASS CSGObject* __new_CLatentFeatures(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CLatentFeatures(): NULL; }
884 static SHOGUN_BASIC_CLASS CSGObject* __new_CRealFileFeatures(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CRealFileFeatures(): NULL; }
885 static SHOGUN_BASIC_CLASS CSGObject* __new_CBinnedDotFeatures(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CBinnedDotFeatures(): NULL; }
886 static SHOGUN_BASIC_CLASS CSGObject* __new_CLatentSVM(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CLatentSVM(): NULL; }
887 static SHOGUN_BASIC_CLASS CSGObject* __new_CLatentSOSVM(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CLatentSOSVM(): NULL; }
888 static SHOGUN_BASIC_CLASS CSGObject* __new_CKMeans(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CKMeans(): NULL; }
889 static SHOGUN_BASIC_CLASS CSGObject* __new_CGMM(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CGMM(): NULL; }
890 static SHOGUN_BASIC_CLASS CSGObject* __new_CHierarchical(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CHierarchical(): NULL; }
891 static SHOGUN_BASIC_CLASS CSGObject* __new_CTwoStateModel(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CTwoStateModel(): NULL; }
892 static SHOGUN_BASIC_CLASS CSGObject* __new_CSegmentLoss(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CSegmentLoss(): NULL; }
893 static SHOGUN_BASIC_CLASS CSGObject* __new_CFactorType(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CFactorType(): NULL; }
894 static SHOGUN_BASIC_CLASS CSGObject* __new_CTableFactorType(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CTableFactorType(): NULL; }
895 static SHOGUN_BASIC_CLASS CSGObject* __new_CFactorDataSource(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CFactorDataSource(): NULL; }
896 static SHOGUN_BASIC_CLASS CSGObject* __new_CFactor(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CFactor(): NULL; }
897 static SHOGUN_BASIC_CLASS CSGObject* __new_CCCSOSVM(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CCCSOSVM(): NULL; }
898 static SHOGUN_BASIC_CLASS CSGObject* __new_CStochasticSOSVM(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CStochasticSOSVM(): NULL; }
899 static SHOGUN_BASIC_CLASS CSGObject* __new_CFactorGraphModel(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CFactorGraphModel(): NULL; }
900 static SHOGUN_BASIC_CLASS CSGObject* __new_CPlifMatrix(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CPlifMatrix(): NULL; }
901 static SHOGUN_BASIC_CLASS CSGObject* __new_CDisjointSet(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CDisjointSet(): NULL; }
902 static SHOGUN_BASIC_CLASS CSGObject* __new_CIntronList(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CIntronList(): NULL; }
903 static SHOGUN_BASIC_CLASS CSGObject* __new_CPlifArray(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CPlifArray(): NULL; }
904 static SHOGUN_BASIC_CLASS CSGObject* __new_CMAPInference(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CMAPInference(): NULL; }
905 static SHOGUN_BASIC_CLASS CSGObject* __new_CDynProg(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CDynProg(): NULL; }
906 static SHOGUN_BASIC_CLASS CSGObject* __new_CMulticlassModel(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CMulticlassModel(): NULL; }
907 static SHOGUN_BASIC_CLASS CSGObject* __new_CHMSVMModel(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CHMSVMModel(): NULL; }
908 static SHOGUN_BASIC_CLASS CSGObject* __new_CMulticlassSOLabels(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CMulticlassSOLabels(): NULL; }
909 static SHOGUN_BASIC_CLASS CSGObject* __new_CDualLibQPBMSOSVM(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CDualLibQPBMSOSVM(): NULL; }
910 static SHOGUN_BASIC_CLASS CSGObject* __new_CSOSVMHelper(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CSOSVMHelper(): NULL; }
911 static SHOGUN_BASIC_CLASS CSGObject* __new_CPlif(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CPlif(): NULL; }
912 static SHOGUN_BASIC_CLASS CSGObject* __new_CSequence(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CSequence(): NULL; }
913 static SHOGUN_BASIC_CLASS CSGObject* __new_CSequenceLabels(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CSequenceLabels(): NULL; }
914 static SHOGUN_BASIC_CLASS CSGObject* __new_CFactorGraph(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CFactorGraph(): NULL; }
916 {
917  switch (g)
918  {
919  case PT_BOOL: return new CCache<bool>();
920  case PT_CHAR: return new CCache<char>();
921  case PT_INT8: return new CCache<int8_t>();
922  case PT_UINT8: return new CCache<uint8_t>();
923  case PT_INT16: return new CCache<int16_t>();
924  case PT_UINT16: return new CCache<uint16_t>();
925  case PT_INT32: return new CCache<int32_t>();
926  case PT_UINT32: return new CCache<uint32_t>();
927  case PT_INT64: return new CCache<int64_t>();
928  case PT_UINT64: return new CCache<uint64_t>();
929  case PT_FLOAT32: return new CCache<float32_t>();
930  case PT_FLOAT64: return new CCache<float64_t>();
931  case PT_FLOATMAX: return new CCache<floatmax_t>();
932  case PT_COMPLEX128: return NULL;
933  case PT_SGOBJECT:
934  case PT_UNDEFINED: return NULL;
935  }
936  return NULL;
937 }
938 static SHOGUN_TEMPLATE_CLASS CSGObject* __new_CSet(EPrimitiveType g)
939 {
940  switch (g)
941  {
942  case PT_BOOL: return new CSet<bool>();
943  case PT_CHAR: return new CSet<char>();
944  case PT_INT8: return new CSet<int8_t>();
945  case PT_UINT8: return new CSet<uint8_t>();
946  case PT_INT16: return new CSet<int16_t>();
947  case PT_UINT16: return new CSet<uint16_t>();
948  case PT_INT32: return new CSet<int32_t>();
949  case PT_UINT32: return new CSet<uint32_t>();
950  case PT_INT64: return new CSet<int64_t>();
951  case PT_UINT64: return new CSet<uint64_t>();
952  case PT_FLOAT32: return new CSet<float32_t>();
953  case PT_FLOAT64: return new CSet<float64_t>();
954  case PT_FLOATMAX: return new CSet<floatmax_t>();
955  case PT_COMPLEX128: return NULL;
956  case PT_SGOBJECT:
957  case PT_UNDEFINED: return NULL;
958  }
959  return NULL;
960 }
962 {
963  switch (g)
964  {
965  case PT_BOOL: return new CDynamicArray<bool>();
966  case PT_CHAR: return new CDynamicArray<char>();
967  case PT_INT8: return new CDynamicArray<int8_t>();
968  case PT_UINT8: return new CDynamicArray<uint8_t>();
969  case PT_INT16: return new CDynamicArray<int16_t>();
970  case PT_UINT16: return new CDynamicArray<uint16_t>();
971  case PT_INT32: return new CDynamicArray<int32_t>();
972  case PT_UINT32: return new CDynamicArray<uint32_t>();
973  case PT_INT64: return new CDynamicArray<int64_t>();
974  case PT_UINT64: return new CDynamicArray<uint64_t>();
975  case PT_FLOAT32: return new CDynamicArray<float32_t>();
976  case PT_FLOAT64: return new CDynamicArray<float64_t>();
977  case PT_FLOATMAX: return new CDynamicArray<floatmax_t>();
978  case PT_COMPLEX128: return NULL;
979  case PT_SGOBJECT:
980  case PT_UNDEFINED: return NULL;
981  }
982  return NULL;
983 }
985 {
986  switch (g)
987  {
988  case PT_BOOL: return new CDecompressString<bool>();
989  case PT_CHAR: return new CDecompressString<char>();
990  case PT_INT8: return new CDecompressString<int8_t>();
991  case PT_UINT8: return new CDecompressString<uint8_t>();
992  case PT_INT16: return new CDecompressString<int16_t>();
993  case PT_UINT16: return new CDecompressString<uint16_t>();
994  case PT_INT32: return new CDecompressString<int32_t>();
995  case PT_UINT32: return new CDecompressString<uint32_t>();
996  case PT_INT64: return new CDecompressString<int64_t>();
997  case PT_UINT64: return new CDecompressString<uint64_t>();
998  case PT_FLOAT32: return new CDecompressString<float32_t>();
999  case PT_FLOAT64: return new CDecompressString<float64_t>();
1000  case PT_FLOATMAX: return new CDecompressString<floatmax_t>();
1001  case PT_COMPLEX128: return NULL;
1002  case PT_SGOBJECT:
1003  case PT_UNDEFINED: return NULL;
1004  }
1005  return NULL;
1006 }
1008 {
1009  switch (g)
1010  {
1011  case PT_BOOL: return new CTreeMachine<bool>();
1012  case PT_CHAR: return new CTreeMachine<char>();
1013  case PT_INT8: return new CTreeMachine<int8_t>();
1014  case PT_UINT8: return new CTreeMachine<uint8_t>();
1015  case PT_INT16: return new CTreeMachine<int16_t>();
1016  case PT_UINT16: return new CTreeMachine<uint16_t>();
1017  case PT_INT32: return new CTreeMachine<int32_t>();
1018  case PT_UINT32: return new CTreeMachine<uint32_t>();
1019  case PT_INT64: return new CTreeMachine<int64_t>();
1020  case PT_UINT64: return new CTreeMachine<uint64_t>();
1021  case PT_FLOAT32: return new CTreeMachine<float32_t>();
1022  case PT_FLOAT64: return new CTreeMachine<float64_t>();
1023  case PT_FLOATMAX: return new CTreeMachine<floatmax_t>();
1024  case PT_COMPLEX128: return NULL;
1025  case PT_SGOBJECT:
1026  case PT_UNDEFINED: return NULL;
1027  }
1028  return NULL;
1029 }
1031 {
1032  switch (g)
1033  {
1034  case PT_BOOL: return new CStreamingFileFromSparseFeatures<bool>();
1035  case PT_CHAR: return new CStreamingFileFromSparseFeatures<char>();
1036  case PT_INT8: return new CStreamingFileFromSparseFeatures<int8_t>();
1037  case PT_UINT8: return new CStreamingFileFromSparseFeatures<uint8_t>();
1038  case PT_INT16: return new CStreamingFileFromSparseFeatures<int16_t>();
1039  case PT_UINT16: return new CStreamingFileFromSparseFeatures<uint16_t>();
1040  case PT_INT32: return new CStreamingFileFromSparseFeatures<int32_t>();
1041  case PT_UINT32: return new CStreamingFileFromSparseFeatures<uint32_t>();
1042  case PT_INT64: return new CStreamingFileFromSparseFeatures<int64_t>();
1043  case PT_UINT64: return new CStreamingFileFromSparseFeatures<uint64_t>();
1044  case PT_FLOAT32: return new CStreamingFileFromSparseFeatures<float32_t>();
1045  case PT_FLOAT64: return new CStreamingFileFromSparseFeatures<float64_t>();
1046  case PT_FLOATMAX: return new CStreamingFileFromSparseFeatures<floatmax_t>();
1047  case PT_COMPLEX128: return NULL;
1048  case PT_SGOBJECT:
1049  case PT_UNDEFINED: return NULL;
1050  }
1051  return NULL;
1052 }
1054 {
1055  switch (g)
1056  {
1057  case PT_BOOL: return new CStreamingFileFromStringFeatures<bool>();
1058  case PT_CHAR: return new CStreamingFileFromStringFeatures<char>();
1059  case PT_INT8: return new CStreamingFileFromStringFeatures<int8_t>();
1060  case PT_UINT8: return new CStreamingFileFromStringFeatures<uint8_t>();
1061  case PT_INT16: return new CStreamingFileFromStringFeatures<int16_t>();
1062  case PT_UINT16: return new CStreamingFileFromStringFeatures<uint16_t>();
1063  case PT_INT32: return new CStreamingFileFromStringFeatures<int32_t>();
1064  case PT_UINT32: return new CStreamingFileFromStringFeatures<uint32_t>();
1065  case PT_INT64: return new CStreamingFileFromStringFeatures<int64_t>();
1066  case PT_UINT64: return new CStreamingFileFromStringFeatures<uint64_t>();
1067  case PT_FLOAT32: return new CStreamingFileFromStringFeatures<float32_t>();
1068  case PT_FLOAT64: return new CStreamingFileFromStringFeatures<float64_t>();
1069  case PT_FLOATMAX: return new CStreamingFileFromStringFeatures<floatmax_t>();
1070  case PT_COMPLEX128: return NULL;
1071  case PT_SGOBJECT:
1072  case PT_UNDEFINED: return NULL;
1073  }
1074  return NULL;
1075 }
1077 {
1078  switch (g)
1079  {
1080  case PT_BOOL: return new CStreamingFileFromDenseFeatures<bool>();
1081  case PT_CHAR: return new CStreamingFileFromDenseFeatures<char>();
1082  case PT_INT8: return new CStreamingFileFromDenseFeatures<int8_t>();
1083  case PT_UINT8: return new CStreamingFileFromDenseFeatures<uint8_t>();
1084  case PT_INT16: return new CStreamingFileFromDenseFeatures<int16_t>();
1085  case PT_UINT16: return new CStreamingFileFromDenseFeatures<uint16_t>();
1086  case PT_INT32: return new CStreamingFileFromDenseFeatures<int32_t>();
1087  case PT_UINT32: return new CStreamingFileFromDenseFeatures<uint32_t>();
1088  case PT_INT64: return new CStreamingFileFromDenseFeatures<int64_t>();
1089  case PT_UINT64: return new CStreamingFileFromDenseFeatures<uint64_t>();
1090  case PT_FLOAT32: return new CStreamingFileFromDenseFeatures<float32_t>();
1091  case PT_FLOAT64: return new CStreamingFileFromDenseFeatures<float64_t>();
1092  case PT_FLOATMAX: return new CStreamingFileFromDenseFeatures<floatmax_t>();
1093  case PT_COMPLEX128: return NULL;
1094  case PT_SGOBJECT:
1095  case PT_UNDEFINED: return NULL;
1096  }
1097  return NULL;
1098 }
1100 {
1101  switch (g)
1102  {
1103  case PT_BOOL: return new CParseBuffer<bool>();
1104  case PT_CHAR: return new CParseBuffer<char>();
1105  case PT_INT8: return new CParseBuffer<int8_t>();
1106  case PT_UINT8: return new CParseBuffer<uint8_t>();
1107  case PT_INT16: return new CParseBuffer<int16_t>();
1108  case PT_UINT16: return new CParseBuffer<uint16_t>();
1109  case PT_INT32: return new CParseBuffer<int32_t>();
1110  case PT_UINT32: return new CParseBuffer<uint32_t>();
1111  case PT_INT64: return new CParseBuffer<int64_t>();
1112  case PT_UINT64: return new CParseBuffer<uint64_t>();
1113  case PT_FLOAT32: return new CParseBuffer<float32_t>();
1114  case PT_FLOAT64: return new CParseBuffer<float64_t>();
1115  case PT_FLOATMAX: return new CParseBuffer<floatmax_t>();
1116  case PT_COMPLEX128: return NULL;
1117  case PT_SGOBJECT:
1118  case PT_UNDEFINED: return NULL;
1119  }
1120  return NULL;
1121 }
1123 {
1124  switch (g)
1125  {
1126  case PT_BOOL: return new CSimpleFile<bool>();
1127  case PT_CHAR: return new CSimpleFile<char>();
1128  case PT_INT8: return new CSimpleFile<int8_t>();
1129  case PT_UINT8: return new CSimpleFile<uint8_t>();
1130  case PT_INT16: return new CSimpleFile<int16_t>();
1131  case PT_UINT16: return new CSimpleFile<uint16_t>();
1132  case PT_INT32: return new CSimpleFile<int32_t>();
1133  case PT_UINT32: return new CSimpleFile<uint32_t>();
1134  case PT_INT64: return new CSimpleFile<int64_t>();
1135  case PT_UINT64: return new CSimpleFile<uint64_t>();
1136  case PT_FLOAT32: return new CSimpleFile<float32_t>();
1137  case PT_FLOAT64: return new CSimpleFile<float64_t>();
1138  case PT_FLOATMAX: return new CSimpleFile<floatmax_t>();
1139  case PT_COMPLEX128: return NULL;
1140  case PT_SGOBJECT:
1141  case PT_UNDEFINED: return NULL;
1142  }
1143  return NULL;
1144 }
1146 {
1147  switch (g)
1148  {
1149  case PT_BOOL: return new CBinaryStream<bool>();
1150  case PT_CHAR: return new CBinaryStream<char>();
1151  case PT_INT8: return new CBinaryStream<int8_t>();
1152  case PT_UINT8: return new CBinaryStream<uint8_t>();
1153  case PT_INT16: return new CBinaryStream<int16_t>();
1154  case PT_UINT16: return new CBinaryStream<uint16_t>();
1155  case PT_INT32: return new CBinaryStream<int32_t>();
1156  case PT_UINT32: return new CBinaryStream<uint32_t>();
1157  case PT_INT64: return new CBinaryStream<int64_t>();
1158  case PT_UINT64: return new CBinaryStream<uint64_t>();
1159  case PT_FLOAT32: return new CBinaryStream<float32_t>();
1160  case PT_FLOAT64: return new CBinaryStream<float64_t>();
1161  case PT_FLOATMAX: return new CBinaryStream<floatmax_t>();
1162  case PT_COMPLEX128: return NULL;
1163  case PT_SGOBJECT:
1164  case PT_UNDEFINED: return NULL;
1165  }
1166  return NULL;
1167 }
1169 {
1170  switch (g)
1171  {
1172  case PT_BOOL: return new CMemoryMappedFile<bool>();
1173  case PT_CHAR: return new CMemoryMappedFile<char>();
1174  case PT_INT8: return new CMemoryMappedFile<int8_t>();
1175  case PT_UINT8: return new CMemoryMappedFile<uint8_t>();
1176  case PT_INT16: return new CMemoryMappedFile<int16_t>();
1177  case PT_UINT16: return new CMemoryMappedFile<uint16_t>();
1178  case PT_INT32: return new CMemoryMappedFile<int32_t>();
1179  case PT_UINT32: return new CMemoryMappedFile<uint32_t>();
1180  case PT_INT64: return new CMemoryMappedFile<int64_t>();
1181  case PT_UINT64: return new CMemoryMappedFile<uint64_t>();
1182  case PT_FLOAT32: return new CMemoryMappedFile<float32_t>();
1183  case PT_FLOAT64: return new CMemoryMappedFile<float64_t>();
1184  case PT_FLOATMAX: return new CMemoryMappedFile<floatmax_t>();
1185  case PT_COMPLEX128: return NULL;
1186  case PT_SGOBJECT:
1187  case PT_UNDEFINED: return NULL;
1188  }
1189  return NULL;
1190 }
1192 {
1193  switch (g)
1194  {
1195  case PT_BOOL: return new CMatrixFeatures<bool>();
1196  case PT_CHAR: return new CMatrixFeatures<char>();
1197  case PT_INT8: return new CMatrixFeatures<int8_t>();
1198  case PT_UINT8: return new CMatrixFeatures<uint8_t>();
1199  case PT_INT16: return new CMatrixFeatures<int16_t>();
1200  case PT_UINT16: return new CMatrixFeatures<uint16_t>();
1201  case PT_INT32: return new CMatrixFeatures<int32_t>();
1202  case PT_UINT32: return new CMatrixFeatures<uint32_t>();
1203  case PT_INT64: return new CMatrixFeatures<int64_t>();
1204  case PT_UINT64: return new CMatrixFeatures<uint64_t>();
1205  case PT_FLOAT32: return new CMatrixFeatures<float32_t>();
1206  case PT_FLOAT64: return new CMatrixFeatures<float64_t>();
1207  case PT_FLOATMAX: return new CMatrixFeatures<floatmax_t>();
1208  case PT_COMPLEX128: return NULL;
1209  case PT_SGOBJECT:
1210  case PT_UNDEFINED: return NULL;
1211  }
1212  return NULL;
1213 }
1215 {
1216  switch (g)
1217  {
1218  case PT_BOOL: return new CStreamingHashedDenseFeatures<bool>();
1219  case PT_CHAR: return new CStreamingHashedDenseFeatures<char>();
1220  case PT_INT8: return new CStreamingHashedDenseFeatures<int8_t>();
1221  case PT_UINT8: return new CStreamingHashedDenseFeatures<uint8_t>();
1222  case PT_INT16: return new CStreamingHashedDenseFeatures<int16_t>();
1223  case PT_UINT16: return new CStreamingHashedDenseFeatures<uint16_t>();
1224  case PT_INT32: return new CStreamingHashedDenseFeatures<int32_t>();
1225  case PT_UINT32: return new CStreamingHashedDenseFeatures<uint32_t>();
1226  case PT_INT64: return new CStreamingHashedDenseFeatures<int64_t>();
1227  case PT_UINT64: return new CStreamingHashedDenseFeatures<uint64_t>();
1228  case PT_FLOAT32: return new CStreamingHashedDenseFeatures<float32_t>();
1229  case PT_FLOAT64: return new CStreamingHashedDenseFeatures<float64_t>();
1230  case PT_FLOATMAX: return new CStreamingHashedDenseFeatures<floatmax_t>();
1231  case PT_COMPLEX128: return NULL;
1232  case PT_SGOBJECT:
1233  case PT_UNDEFINED: return NULL;
1234  }
1235  return NULL;
1236 }
1238 {
1239  switch (g)
1240  {
1241  case PT_BOOL: return new CStreamingHashedSparseFeatures<bool>();
1242  case PT_CHAR: return new CStreamingHashedSparseFeatures<char>();
1243  case PT_INT8: return new CStreamingHashedSparseFeatures<int8_t>();
1244  case PT_UINT8: return new CStreamingHashedSparseFeatures<uint8_t>();
1245  case PT_INT16: return new CStreamingHashedSparseFeatures<int16_t>();
1246  case PT_UINT16: return new CStreamingHashedSparseFeatures<uint16_t>();
1247  case PT_INT32: return new CStreamingHashedSparseFeatures<int32_t>();
1248  case PT_UINT32: return new CStreamingHashedSparseFeatures<uint32_t>();
1249  case PT_INT64: return new CStreamingHashedSparseFeatures<int64_t>();
1250  case PT_UINT64: return new CStreamingHashedSparseFeatures<uint64_t>();
1251  case PT_FLOAT32: return new CStreamingHashedSparseFeatures<float32_t>();
1252  case PT_FLOAT64: return new CStreamingHashedSparseFeatures<float64_t>();
1253  case PT_FLOATMAX: return new CStreamingHashedSparseFeatures<floatmax_t>();
1254  case PT_COMPLEX128: return NULL;
1255  case PT_SGOBJECT:
1256  case PT_UNDEFINED: return NULL;
1257  }
1258  return NULL;
1259 }
1261 {
1262  switch (g)
1263  {
1264  case PT_BOOL: return new CStreamingSparseFeatures<bool>();
1265  case PT_CHAR: return new CStreamingSparseFeatures<char>();
1266  case PT_INT8: return new CStreamingSparseFeatures<int8_t>();
1267  case PT_UINT8: return new CStreamingSparseFeatures<uint8_t>();
1268  case PT_INT16: return new CStreamingSparseFeatures<int16_t>();
1269  case PT_UINT16: return new CStreamingSparseFeatures<uint16_t>();
1270  case PT_INT32: return new CStreamingSparseFeatures<int32_t>();
1271  case PT_UINT32: return new CStreamingSparseFeatures<uint32_t>();
1272  case PT_INT64: return new CStreamingSparseFeatures<int64_t>();
1273  case PT_UINT64: return new CStreamingSparseFeatures<uint64_t>();
1274  case PT_FLOAT32: return new CStreamingSparseFeatures<float32_t>();
1275  case PT_FLOAT64: return new CStreamingSparseFeatures<float64_t>();
1276  case PT_FLOATMAX: return new CStreamingSparseFeatures<floatmax_t>();
1277  case PT_COMPLEX128: return NULL;
1278  case PT_SGOBJECT:
1279  case PT_UNDEFINED: return NULL;
1280  }
1281  return NULL;
1282 }
1284 {
1285  switch (g)
1286  {
1287  case PT_BOOL: return new CStreamingStringFeatures<bool>();
1288  case PT_CHAR: return new CStreamingStringFeatures<char>();
1289  case PT_INT8: return new CStreamingStringFeatures<int8_t>();
1290  case PT_UINT8: return new CStreamingStringFeatures<uint8_t>();
1291  case PT_INT16: return new CStreamingStringFeatures<int16_t>();
1292  case PT_UINT16: return new CStreamingStringFeatures<uint16_t>();
1293  case PT_INT32: return new CStreamingStringFeatures<int32_t>();
1294  case PT_UINT32: return new CStreamingStringFeatures<uint32_t>();
1295  case PT_INT64: return new CStreamingStringFeatures<int64_t>();
1296  case PT_UINT64: return new CStreamingStringFeatures<uint64_t>();
1297  case PT_FLOAT32: return new CStreamingStringFeatures<float32_t>();
1298  case PT_FLOAT64: return new CStreamingStringFeatures<float64_t>();
1299  case PT_FLOATMAX: return new CStreamingStringFeatures<floatmax_t>();
1300  case PT_COMPLEX128: return NULL;
1301  case PT_SGOBJECT:
1302  case PT_UNDEFINED: return NULL;
1303  }
1304  return NULL;
1305 }
1307 {
1308  switch (g)
1309  {
1310  case PT_BOOL: return new CStreamingDenseFeatures<bool>();
1311  case PT_CHAR: return new CStreamingDenseFeatures<char>();
1312  case PT_INT8: return new CStreamingDenseFeatures<int8_t>();
1313  case PT_UINT8: return new CStreamingDenseFeatures<uint8_t>();
1314  case PT_INT16: return new CStreamingDenseFeatures<int16_t>();
1315  case PT_UINT16: return new CStreamingDenseFeatures<uint16_t>();
1316  case PT_INT32: return new CStreamingDenseFeatures<int32_t>();
1317  case PT_UINT32: return new CStreamingDenseFeatures<uint32_t>();
1318  case PT_INT64: return new CStreamingDenseFeatures<int64_t>();
1319  case PT_UINT64: return new CStreamingDenseFeatures<uint64_t>();
1320  case PT_FLOAT32: return new CStreamingDenseFeatures<float32_t>();
1321  case PT_FLOAT64: return new CStreamingDenseFeatures<float64_t>();
1322  case PT_FLOATMAX: return new CStreamingDenseFeatures<floatmax_t>();
1323  case PT_COMPLEX128: return NULL;
1324  case PT_SGOBJECT:
1325  case PT_UNDEFINED: return NULL;
1326  }
1327  return NULL;
1328 }
1330 {
1331  switch (g)
1332  {
1333  case PT_BOOL: return new CHashedDenseFeatures<bool>();
1334  case PT_CHAR: return new CHashedDenseFeatures<char>();
1335  case PT_INT8: return new CHashedDenseFeatures<int8_t>();
1336  case PT_UINT8: return new CHashedDenseFeatures<uint8_t>();
1337  case PT_INT16: return new CHashedDenseFeatures<int16_t>();
1338  case PT_UINT16: return new CHashedDenseFeatures<uint16_t>();
1339  case PT_INT32: return new CHashedDenseFeatures<int32_t>();
1340  case PT_UINT32: return new CHashedDenseFeatures<uint32_t>();
1341  case PT_INT64: return new CHashedDenseFeatures<int64_t>();
1342  case PT_UINT64: return new CHashedDenseFeatures<uint64_t>();
1343  case PT_FLOAT32: return new CHashedDenseFeatures<float32_t>();
1344  case PT_FLOAT64: return new CHashedDenseFeatures<float64_t>();
1345  case PT_FLOATMAX: return new CHashedDenseFeatures<floatmax_t>();
1346  case PT_COMPLEX128: return NULL;
1347  case PT_SGOBJECT:
1348  case PT_UNDEFINED: return NULL;
1349  }
1350  return NULL;
1351 }
1353 {
1354  switch (g)
1355  {
1356  case PT_BOOL: return new CStringFileFeatures<bool>();
1357  case PT_CHAR: return new CStringFileFeatures<char>();
1358  case PT_INT8: return new CStringFileFeatures<int8_t>();
1359  case PT_UINT8: return new CStringFileFeatures<uint8_t>();
1360  case PT_INT16: return new CStringFileFeatures<int16_t>();
1361  case PT_UINT16: return new CStringFileFeatures<uint16_t>();
1362  case PT_INT32: return new CStringFileFeatures<int32_t>();
1363  case PT_UINT32: return new CStringFileFeatures<uint32_t>();
1364  case PT_INT64: return new CStringFileFeatures<int64_t>();
1365  case PT_UINT64: return new CStringFileFeatures<uint64_t>();
1366  case PT_FLOAT32: return new CStringFileFeatures<float32_t>();
1367  case PT_FLOAT64: return new CStringFileFeatures<float64_t>();
1368  case PT_FLOATMAX: return new CStringFileFeatures<floatmax_t>();
1369  case PT_COMPLEX128: return NULL;
1370  case PT_SGOBJECT:
1371  case PT_UNDEFINED: return NULL;
1372  }
1373  return NULL;
1374 }
1376 {
1377  switch (g)
1378  {
1379  case PT_BOOL: return new CSparseFeatures<bool>();
1380  case PT_CHAR: return new CSparseFeatures<char>();
1381  case PT_INT8: return new CSparseFeatures<int8_t>();
1382  case PT_UINT8: return new CSparseFeatures<uint8_t>();
1383  case PT_INT16: return new CSparseFeatures<int16_t>();
1384  case PT_UINT16: return new CSparseFeatures<uint16_t>();
1385  case PT_INT32: return new CSparseFeatures<int32_t>();
1386  case PT_UINT32: return new CSparseFeatures<uint32_t>();
1387  case PT_INT64: return new CSparseFeatures<int64_t>();
1388  case PT_UINT64: return new CSparseFeatures<uint64_t>();
1389  case PT_FLOAT32: return new CSparseFeatures<float32_t>();
1390  case PT_FLOAT64: return new CSparseFeatures<float64_t>();
1391  case PT_FLOATMAX: return new CSparseFeatures<floatmax_t>();
1392  case PT_COMPLEX128: return NULL;
1393  case PT_SGOBJECT:
1394  case PT_UNDEFINED: return NULL;
1395  }
1396  return NULL;
1397 }
1399 {
1400  switch (g)
1401  {
1402  case PT_BOOL: return new CDenseFeatures<bool>();
1403  case PT_CHAR: return new CDenseFeatures<char>();
1404  case PT_INT8: return new CDenseFeatures<int8_t>();
1405  case PT_UINT8: return new CDenseFeatures<uint8_t>();
1406  case PT_INT16: return new CDenseFeatures<int16_t>();
1407  case PT_UINT16: return new CDenseFeatures<uint16_t>();
1408  case PT_INT32: return new CDenseFeatures<int32_t>();
1409  case PT_UINT32: return new CDenseFeatures<uint32_t>();
1410  case PT_INT64: return new CDenseFeatures<int64_t>();
1411  case PT_UINT64: return new CDenseFeatures<uint64_t>();
1412  case PT_FLOAT32: return new CDenseFeatures<float32_t>();
1413  case PT_FLOAT64: return new CDenseFeatures<float64_t>();
1414  case PT_FLOATMAX: return new CDenseFeatures<floatmax_t>();
1415  case PT_COMPLEX128: return NULL;
1416  case PT_SGOBJECT:
1417  case PT_UNDEFINED: return NULL;
1418  }
1419  return NULL;
1420 }
1422 {
1423  switch (g)
1424  {
1425  case PT_BOOL: return new CStringFeatures<bool>();
1426  case PT_CHAR: return new CStringFeatures<char>();
1427  case PT_INT8: return new CStringFeatures<int8_t>();
1428  case PT_UINT8: return new CStringFeatures<uint8_t>();
1429  case PT_INT16: return new CStringFeatures<int16_t>();
1430  case PT_UINT16: return new CStringFeatures<uint16_t>();
1431  case PT_INT32: return new CStringFeatures<int32_t>();
1432  case PT_UINT32: return new CStringFeatures<uint32_t>();
1433  case PT_INT64: return new CStringFeatures<int64_t>();
1434  case PT_UINT64: return new CStringFeatures<uint64_t>();
1435  case PT_FLOAT32: return new CStringFeatures<float32_t>();
1436  case PT_FLOAT64: return new CStringFeatures<float64_t>();
1437  case PT_FLOATMAX: return new CStringFeatures<floatmax_t>();
1438  case PT_COMPLEX128: return NULL;
1439  case PT_SGOBJECT:
1440  case PT_UNDEFINED: return NULL;
1441  }
1442  return NULL;
1443 }
1445 {
1446  switch (g)
1447  {
1448  case PT_BOOL: return new CDenseSubsetFeatures<bool>();
1449  case PT_CHAR: return new CDenseSubsetFeatures<char>();
1450  case PT_INT8: return new CDenseSubsetFeatures<int8_t>();
1451  case PT_UINT8: return new CDenseSubsetFeatures<uint8_t>();
1452  case PT_INT16: return new CDenseSubsetFeatures<int16_t>();
1453  case PT_UINT16: return new CDenseSubsetFeatures<uint16_t>();
1454  case PT_INT32: return new CDenseSubsetFeatures<int32_t>();
1455  case PT_UINT32: return new CDenseSubsetFeatures<uint32_t>();
1456  case PT_INT64: return new CDenseSubsetFeatures<int64_t>();
1457  case PT_UINT64: return new CDenseSubsetFeatures<uint64_t>();
1458  case PT_FLOAT32: return new CDenseSubsetFeatures<float32_t>();
1459  case PT_FLOAT64: return new CDenseSubsetFeatures<float64_t>();
1460  case PT_FLOATMAX: return new CDenseSubsetFeatures<floatmax_t>();
1461  case PT_COMPLEX128: return NULL;
1462  case PT_SGOBJECT:
1463  case PT_UNDEFINED: return NULL;
1464  }
1465  return NULL;
1466 }
1468 {
1469  switch (g)
1470  {
1471  case PT_BOOL: return new CHashedSparseFeatures<bool>();
1472  case PT_CHAR: return new CHashedSparseFeatures<char>();
1473  case PT_INT8: return new CHashedSparseFeatures<int8_t>();
1474  case PT_UINT8: return new CHashedSparseFeatures<uint8_t>();
1475  case PT_INT16: return new CHashedSparseFeatures<int16_t>();
1476  case PT_UINT16: return new CHashedSparseFeatures<uint16_t>();
1477  case PT_INT32: return new CHashedSparseFeatures<int32_t>();
1478  case PT_UINT32: return new CHashedSparseFeatures<uint32_t>();
1479  case PT_INT64: return new CHashedSparseFeatures<int64_t>();
1480  case PT_UINT64: return new CHashedSparseFeatures<uint64_t>();
1481  case PT_FLOAT32: return new CHashedSparseFeatures<float32_t>();
1482  case PT_FLOAT64: return new CHashedSparseFeatures<float64_t>();
1483  case PT_FLOATMAX: return new CHashedSparseFeatures<floatmax_t>();
1484  case PT_COMPLEX128: return NULL;
1485  case PT_SGOBJECT:
1486  case PT_UNDEFINED: return NULL;
1487  }
1488  return NULL;
1489 }
1491 {
1492  switch (g)
1493  {
1494  case PT_BOOL: return new CScalarResult<bool>();
1495  case PT_CHAR: return new CScalarResult<char>();
1496  case PT_INT8: return new CScalarResult<int8_t>();
1497  case PT_UINT8: return new CScalarResult<uint8_t>();
1498  case PT_INT16: return new CScalarResult<int16_t>();
1499  case PT_UINT16: return new CScalarResult<uint16_t>();
1500  case PT_INT32: return new CScalarResult<int32_t>();
1501  case PT_UINT32: return new CScalarResult<uint32_t>();
1502  case PT_INT64: return new CScalarResult<int64_t>();
1503  case PT_UINT64: return new CScalarResult<uint64_t>();
1504  case PT_FLOAT32: return new CScalarResult<float32_t>();
1505  case PT_FLOAT64: return new CScalarResult<float64_t>();
1506  case PT_FLOATMAX: return new CScalarResult<floatmax_t>();
1507  case PT_COMPLEX128: return new CScalarResult<complex128_t>();
1508  case PT_SGOBJECT:
1509  case PT_UNDEFINED: return NULL;
1510  }
1511  return NULL;
1512 }
1514 {
1515  switch (g)
1516  {
1517  case PT_BOOL: return new CVectorResult<bool>();
1518  case PT_CHAR: return new CVectorResult<char>();
1519  case PT_INT8: return new CVectorResult<int8_t>();
1520  case PT_UINT8: return new CVectorResult<uint8_t>();
1521  case PT_INT16: return new CVectorResult<int16_t>();
1522  case PT_UINT16: return new CVectorResult<uint16_t>();
1523  case PT_INT32: return new CVectorResult<int32_t>();
1524  case PT_UINT32: return new CVectorResult<uint32_t>();
1525  case PT_INT64: return new CVectorResult<int64_t>();
1526  case PT_UINT64: return new CVectorResult<uint64_t>();
1527  case PT_FLOAT32: return new CVectorResult<float32_t>();
1528  case PT_FLOAT64: return new CVectorResult<float64_t>();
1529  case PT_FLOATMAX: return new CVectorResult<floatmax_t>();
1530  case PT_COMPLEX128: return new CVectorResult<complex128_t>();
1531  case PT_SGOBJECT:
1532  case PT_UNDEFINED: return NULL;
1533  }
1534  return NULL;
1535 }
1537 {
1538  switch (g)
1539  {
1540  case PT_BOOL: return new CStoreScalarAggregator<bool>();
1541  case PT_CHAR: return new CStoreScalarAggregator<char>();
1542  case PT_INT8: return new CStoreScalarAggregator<int8_t>();
1543  case PT_UINT8: return new CStoreScalarAggregator<uint8_t>();
1544  case PT_INT16: return new CStoreScalarAggregator<int16_t>();
1545  case PT_UINT16: return new CStoreScalarAggregator<uint16_t>();
1546  case PT_INT32: return new CStoreScalarAggregator<int32_t>();
1547  case PT_UINT32: return new CStoreScalarAggregator<uint32_t>();
1548  case PT_INT64: return new CStoreScalarAggregator<int64_t>();
1549  case PT_UINT64: return new CStoreScalarAggregator<uint64_t>();
1550  case PT_FLOAT32: return new CStoreScalarAggregator<float32_t>();
1551  case PT_FLOAT64: return new CStoreScalarAggregator<float64_t>();
1552  case PT_FLOATMAX: return new CStoreScalarAggregator<floatmax_t>();
1553  case PT_COMPLEX128: return new CStoreScalarAggregator<complex128_t>();
1554  case PT_SGOBJECT:
1555  case PT_UNDEFINED: return NULL;
1556  }
1557  return NULL;
1558 }
1560 {
1561  switch (g)
1562  {
1563  case PT_BOOL: return new CSparseMatrixOperator<bool>();
1564  case PT_CHAR: return new CSparseMatrixOperator<char>();
1565  case PT_INT8: return new CSparseMatrixOperator<int8_t>();
1566  case PT_UINT8: return new CSparseMatrixOperator<uint8_t>();
1567  case PT_INT16: return new CSparseMatrixOperator<int16_t>();
1568  case PT_UINT16: return new CSparseMatrixOperator<uint16_t>();
1569  case PT_INT32: return new CSparseMatrixOperator<int32_t>();
1570  case PT_UINT32: return new CSparseMatrixOperator<uint32_t>();
1571  case PT_INT64: return new CSparseMatrixOperator<int64_t>();
1572  case PT_UINT64: return new CSparseMatrixOperator<uint64_t>();
1573  case PT_FLOAT32: return new CSparseMatrixOperator<float32_t>();
1574  case PT_FLOAT64: return new CSparseMatrixOperator<float64_t>();
1575  case PT_FLOATMAX: return new CSparseMatrixOperator<floatmax_t>();
1576  case PT_COMPLEX128: return new CSparseMatrixOperator<complex128_t>();
1577  case PT_SGOBJECT:
1578  case PT_UNDEFINED: return NULL;
1579  }
1580  return NULL;
1581 }
1583 {
1584  switch (g)
1585  {
1586  case PT_BOOL: return new CDenseMatrixOperator<bool>();
1587  case PT_CHAR: return new CDenseMatrixOperator<char>();
1588  case PT_INT8: return new CDenseMatrixOperator<int8_t>();
1589  case PT_UINT8: return new CDenseMatrixOperator<uint8_t>();
1590  case PT_INT16: return new CDenseMatrixOperator<int16_t>();
1591  case PT_UINT16: return new CDenseMatrixOperator<uint16_t>();
1592  case PT_INT32: return new CDenseMatrixOperator<int32_t>();
1593  case PT_UINT32: return new CDenseMatrixOperator<uint32_t>();
1594  case PT_INT64: return new CDenseMatrixOperator<int64_t>();
1595  case PT_UINT64: return new CDenseMatrixOperator<uint64_t>();
1596  case PT_FLOAT32: return new CDenseMatrixOperator<float32_t>();
1597  case PT_FLOAT64: return new CDenseMatrixOperator<float64_t>();
1598  case PT_FLOATMAX: return new CDenseMatrixOperator<floatmax_t>();
1599  case PT_COMPLEX128: return new CDenseMatrixOperator<complex128_t>();
1600  case PT_SGOBJECT:
1601  case PT_UNDEFINED: return NULL;
1602  }
1603  return NULL;
1604 }
1605 typedef CSGObject* (*new_sgserializable_t)(EPrimitiveType generic);
1606 #ifndef DOXYGEN_SHOULD_SKIP_THIS
1607 typedef struct
1608 {
1609  const char* m_class_name;
1610  new_sgserializable_t m_new_sgserializable;
1611 } class_list_entry_t;
1612 #endif
1613 
1614 static class_list_entry_t class_list[] = {
1615 {"NGramTokenizer", SHOGUN_BASIC_CLASS __new_CNGramTokenizer},
1617 {"IndexBlockGroup", SHOGUN_BASIC_CLASS __new_CIndexBlockGroup},
1618 {"ListElement", SHOGUN_BASIC_CLASS __new_CListElement},
1620 {"Compressor", SHOGUN_BASIC_CLASS __new_CCompressor},
1622 {"StructuredData", SHOGUN_BASIC_CLASS __new_CStructuredData},
1623 {"DelimiterTokenizer", SHOGUN_BASIC_CLASS __new_CDelimiterTokenizer},
1624 {"DynamicObjectArray", SHOGUN_BASIC_CLASS __new_CDynamicObjectArray},
1625 {"BitString", SHOGUN_BASIC_CLASS __new_CBitString},
1627 {"IndexBlock", SHOGUN_BASIC_CLASS __new_CIndexBlock},
1628 {"IndexBlockTree", SHOGUN_BASIC_CLASS __new_CIndexBlockTree},
1629 {"JobResult", SHOGUN_BASIC_CLASS __new_CJobResult},
1630 {"SerialComputationEngine", SHOGUN_BASIC_CLASS __new_CSerialComputationEngine},
1631 {"Signal", SHOGUN_BASIC_CLASS __new_CSignal},
1632 {"CircularBuffer", SHOGUN_BASIC_CLASS __new_CCircularBuffer},
1633 {"WaveKernel", SHOGUN_BASIC_CLASS __new_CWaveKernel},
1634 {"BesselKernel", SHOGUN_BASIC_CLASS __new_CBesselKernel},
1635 {"SigmoidKernel", SHOGUN_BASIC_CLASS __new_CSigmoidKernel},
1636 {"MultiquadricKernel", SHOGUN_BASIC_CLASS __new_CMultiquadricKernel},
1637 {"CauchyKernel", SHOGUN_BASIC_CLASS __new_CCauchyKernel},
1638 {"GaussianShortRealKernel", SHOGUN_BASIC_CLASS __new_CGaussianShortRealKernel},
1639 {"Chi2Kernel", SHOGUN_BASIC_CLASS __new_CChi2Kernel},
1640 {"GaussianKernel", SHOGUN_BASIC_CLASS __new_CGaussianKernel},
1641 {"ANOVAKernel", SHOGUN_BASIC_CLASS __new_CANOVAKernel},
1642 {"TensorProductPairKernel", SHOGUN_BASIC_CLASS __new_CTensorProductPairKernel},
1643 {"CustomKernel", SHOGUN_BASIC_CLASS __new_CCustomKernel},
1644 {"RationalQuadraticKernel", SHOGUN_BASIC_CLASS __new_CRationalQuadraticKernel},
1645 {"WaveletKernel", SHOGUN_BASIC_CLASS __new_CWaveletKernel},
1646 {"ConstKernel", SHOGUN_BASIC_CLASS __new_CConstKernel},
1647 {"LogKernel", SHOGUN_BASIC_CLASS __new_CLogKernel},
1648 {"AUCKernel", SHOGUN_BASIC_CLASS __new_CAUCKernel},
1649 {"SplineKernel", SHOGUN_BASIC_CLASS __new_CSplineKernel},
1650 {"GaussianShiftKernel", SHOGUN_BASIC_CLASS __new_CGaussianShiftKernel},
1651 {"ProductKernel", SHOGUN_BASIC_CLASS __new_CProductKernel},
1652 {"LinearKernel", SHOGUN_BASIC_CLASS __new_CLinearKernel},
1653 {"GaussianARDKernel", SHOGUN_BASIC_CLASS __new_CGaussianARDKernel},
1654 {"PowerKernel", SHOGUN_BASIC_CLASS __new_CPowerKernel},
1655 {"DiagKernel", SHOGUN_BASIC_CLASS __new_CDiagKernel},
1656 {"HistogramIntersectionKernel", SHOGUN_BASIC_CLASS __new_CHistogramIntersectionKernel},
1657 {"CombinedKernel", SHOGUN_BASIC_CLASS __new_CCombinedKernel},
1658 {"PolyKernel", SHOGUN_BASIC_CLASS __new_CPolyKernel},
1659 {"CircularKernel", SHOGUN_BASIC_CLASS __new_CCircularKernel},
1660 {"InverseMultiQuadricKernel", SHOGUN_BASIC_CLASS __new_CInverseMultiQuadricKernel},
1661 {"SphericalKernel", SHOGUN_BASIC_CLASS __new_CSphericalKernel},
1662 {"WeightedDegreeRBFKernel", SHOGUN_BASIC_CLASS __new_CWeightedDegreeRBFKernel},
1663 {"DistanceKernel", SHOGUN_BASIC_CLASS __new_CDistanceKernel},
1664 {"LinearARDKernel", SHOGUN_BASIC_CLASS __new_CLinearARDKernel},
1665 {"RegulatoryModulesStringKernel", SHOGUN_BASIC_CLASS __new_CRegulatoryModulesStringKernel},
1666 {"LocalAlignmentStringKernel", SHOGUN_BASIC_CLASS __new_CLocalAlignmentStringKernel},
1667 {"MatchWordStringKernel", SHOGUN_BASIC_CLASS __new_CMatchWordStringKernel},
1668 {"GaussianMatchStringKernel", SHOGUN_BASIC_CLASS __new_CGaussianMatchStringKernel},
1669 {"PolyMatchWordStringKernel", SHOGUN_BASIC_CLASS __new_CPolyMatchWordStringKernel},
1670 {"SpectrumMismatchRBFKernel", SHOGUN_BASIC_CLASS __new_CSpectrumMismatchRBFKernel},
1671 {"FixedDegreeStringKernel", SHOGUN_BASIC_CLASS __new_CFixedDegreeStringKernel},
1672 {"CommWordStringKernel", SHOGUN_BASIC_CLASS __new_CCommWordStringKernel},
1673 {"WeightedDegreePositionStringKernel", SHOGUN_BASIC_CLASS __new_CWeightedDegreePositionStringKernel},
1674 {"OligoStringKernel", SHOGUN_BASIC_CLASS __new_COligoStringKernel},
1675 {"CommUlongStringKernel", SHOGUN_BASIC_CLASS __new_CCommUlongStringKernel},
1676 {"SimpleLocalityImprovedStringKernel", SHOGUN_BASIC_CLASS __new_CSimpleLocalityImprovedStringKernel},
1677 {"LinearStringKernel", SHOGUN_BASIC_CLASS __new_CLinearStringKernel},
1678 {"PolyMatchStringKernel", SHOGUN_BASIC_CLASS __new_CPolyMatchStringKernel},
1679 {"SalzbergWordStringKernel", SHOGUN_BASIC_CLASS __new_CSalzbergWordStringKernel},
1680 {"SpectrumRBFKernel", SHOGUN_BASIC_CLASS __new_CSpectrumRBFKernel},
1681 {"DistantSegmentsKernel", SHOGUN_BASIC_CLASS __new_CDistantSegmentsKernel},
1682 {"SparseSpatialSampleStringKernel", SHOGUN_BASIC_CLASS __new_CSparseSpatialSampleStringKernel},
1683 {"LocalityImprovedStringKernel", SHOGUN_BASIC_CLASS __new_CLocalityImprovedStringKernel},
1684 {"SNPStringKernel", SHOGUN_BASIC_CLASS __new_CSNPStringKernel},
1685 {"WeightedCommWordStringKernel", SHOGUN_BASIC_CLASS __new_CWeightedCommWordStringKernel},
1686 {"WeightedDegreeStringKernel", SHOGUN_BASIC_CLASS __new_CWeightedDegreeStringKernel},
1687 {"HistogramWordStringKernel", SHOGUN_BASIC_CLASS __new_CHistogramWordStringKernel},
1688 {"PyramidChi2", SHOGUN_BASIC_CLASS __new_CPyramidChi2},
1689 {"JensenShannonKernel", SHOGUN_BASIC_CLASS __new_CJensenShannonKernel},
1690 {"ExponentialKernel", SHOGUN_BASIC_CLASS __new_CExponentialKernel},
1691 {"ScatterKernelNormalizer", SHOGUN_BASIC_CLASS __new_CScatterKernelNormalizer},
1692 {"ZeroMeanCenterKernelNormalizer", SHOGUN_BASIC_CLASS __new_CZeroMeanCenterKernelNormalizer},
1693 {"IdentityKernelNormalizer", SHOGUN_BASIC_CLASS __new_CIdentityKernelNormalizer},
1694 {"FirstElementKernelNormalizer", SHOGUN_BASIC_CLASS __new_CFirstElementKernelNormalizer},
1695 {"RidgeKernelNormalizer", SHOGUN_BASIC_CLASS __new_CRidgeKernelNormalizer},
1696 {"VarianceKernelNormalizer", SHOGUN_BASIC_CLASS __new_CVarianceKernelNormalizer},
1697 {"TanimotoKernelNormalizer", SHOGUN_BASIC_CLASS __new_CTanimotoKernelNormalizer},
1698 {"AvgDiagKernelNormalizer", SHOGUN_BASIC_CLASS __new_CAvgDiagKernelNormalizer},
1699 {"SqrtDiagKernelNormalizer", SHOGUN_BASIC_CLASS __new_CSqrtDiagKernelNormalizer},
1700 {"DiceKernelNormalizer", SHOGUN_BASIC_CLASS __new_CDiceKernelNormalizer},
1701 {"TStudentKernel", SHOGUN_BASIC_CLASS __new_CTStudentKernel},
1703 {"LMNNStatistics", SHOGUN_BASIC_CLASS __new_CLMNNStatistics},
1704 {"MeanSquaredLogError", SHOGUN_BASIC_CLASS __new_CMeanSquaredLogError},
1705 {"GradientCriterion", SHOGUN_BASIC_CLASS __new_CGradientCriterion},
1706 {"GradientResult", SHOGUN_BASIC_CLASS __new_CGradientResult},
1707 {"StructuredAccuracy", SHOGUN_BASIC_CLASS __new_CStructuredAccuracy},
1708 {"MulticlassOVREvaluation", SHOGUN_BASIC_CLASS __new_CMulticlassOVREvaluation},
1709 {"GradientEvaluation", SHOGUN_BASIC_CLASS __new_CGradientEvaluation},
1710 {"CrossValidationResult", SHOGUN_BASIC_CLASS __new_CCrossValidationResult},
1711 {"CrossValidation", SHOGUN_BASIC_CLASS __new_CCrossValidation},
1712 {"CrossValidationMulticlassStorage", SHOGUN_BASIC_CLASS __new_CCrossValidationMulticlassStorage},
1713 {"CrossValidationMKLStorage", SHOGUN_BASIC_CLASS __new_CCrossValidationMKLStorage},
1714 {"MulticlassAccuracy", SHOGUN_BASIC_CLASS __new_CMulticlassAccuracy},
1715 {"CrossValidationSplitting", SHOGUN_BASIC_CLASS __new_CCrossValidationSplitting},
1716 {"MeanAbsoluteError", SHOGUN_BASIC_CLASS __new_CMeanAbsoluteError},
1717 {"ROCEvaluation", SHOGUN_BASIC_CLASS __new_CROCEvaluation},
1718 {"CrossValidationPrintOutput", SHOGUN_BASIC_CLASS __new_CCrossValidationPrintOutput},
1719 {"ClusteringMutualInformation", SHOGUN_BASIC_CLASS __new_CClusteringMutualInformation},
1720 {"PRCEvaluation", SHOGUN_BASIC_CLASS __new_CPRCEvaluation},
1721 {"ClusteringAccuracy", SHOGUN_BASIC_CLASS __new_CClusteringAccuracy},
1722 {"ContingencyTableEvaluation", SHOGUN_BASIC_CLASS __new_CContingencyTableEvaluation},
1723 {"AccuracyMeasure", SHOGUN_BASIC_CLASS __new_CAccuracyMeasure},
1724 {"ErrorRateMeasure", SHOGUN_BASIC_CLASS __new_CErrorRateMeasure},
1725 {"BALMeasure", SHOGUN_BASIC_CLASS __new_CBALMeasure},
1726 {"WRACCMeasure", SHOGUN_BASIC_CLASS __new_CWRACCMeasure},
1727 {"F1Measure", SHOGUN_BASIC_CLASS __new_CF1Measure},
1728 {"CrossCorrelationMeasure", SHOGUN_BASIC_CLASS __new_CCrossCorrelationMeasure},
1729 {"RecallMeasure", SHOGUN_BASIC_CLASS __new_CRecallMeasure},
1730 {"PrecisionMeasure", SHOGUN_BASIC_CLASS __new_CPrecisionMeasure},
1731 {"SpecificityMeasure", SHOGUN_BASIC_CLASS __new_CSpecificityMeasure},
1732 {"LOOCrossValidationSplitting", SHOGUN_BASIC_CLASS __new_CLOOCrossValidationSplitting},
1733 {"StratifiedCrossValidationSplitting", SHOGUN_BASIC_CLASS __new_CStratifiedCrossValidationSplitting},
1734 {"MeanSquaredError", SHOGUN_BASIC_CLASS __new_CMeanSquaredError},
1736 {"KernelPCA", SHOGUN_BASIC_CLASS __new_CKernelPCA},
1737 {"DimensionReductionPreprocessor", SHOGUN_BASIC_CLASS __new_CDimensionReductionPreprocessor},
1738 {"RescaleFeatures", SHOGUN_BASIC_CLASS __new_CRescaleFeatures},
1739 {"HomogeneousKernelMap", SHOGUN_BASIC_CLASS __new_CHomogeneousKernelMap},
1741 {"SortWordString", SHOGUN_BASIC_CLASS __new_CSortWordString},
1742 {"SortUlongString", SHOGUN_BASIC_CLASS __new_CSortUlongString},
1743 {"PNorm", SHOGUN_BASIC_CLASS __new_CPNorm},
1744 {"PruneVarSubMean", SHOGUN_BASIC_CLASS __new_CPruneVarSubMean},
1745 {"RandomFourierGaussPreproc", SHOGUN_BASIC_CLASS __new_CRandomFourierGaussPreproc},
1746 {"LogPlusOne", SHOGUN_BASIC_CLASS __new_CLogPlusOne},
1747 {"NormOne", SHOGUN_BASIC_CLASS __new_CNormOne},
1748 {"SumOne", SHOGUN_BASIC_CLASS __new_CSumOne},
1749 {"Isomap", SHOGUN_BASIC_CLASS __new_CIsomap},
1750 {"KernelLocallyLinearEmbedding", SHOGUN_BASIC_CLASS __new_CKernelLocallyLinearEmbedding},
1751 {"HashedDocConverter", SHOGUN_BASIC_CLASS __new_CHashedDocConverter},
1752 {"LaplacianEigenmaps", SHOGUN_BASIC_CLASS __new_CLaplacianEigenmaps},
1753 {"LocallyLinearEmbedding", SHOGUN_BASIC_CLASS __new_CLocallyLinearEmbedding},
1754 {"JediSep", SHOGUN_BASIC_CLASS __new_CJediSep},
1757 {"FFSep", SHOGUN_BASIC_CLASS __new_CFFSep},
1758 {"FastICA", SHOGUN_BASIC_CLASS __new_CFastICA},
1759 {"UWedgeSep", SHOGUN_BASIC_CLASS __new_CUWedgeSep},
1760 {"TDistributedStochasticNeighborEmbedding", SHOGUN_BASIC_CLASS __new_CTDistributedStochasticNeighborEmbedding},
1761 {"ManifoldSculpting", SHOGUN_BASIC_CLASS __new_CManifoldSculpting},
1762 {"NeighborhoodPreservingEmbedding", SHOGUN_BASIC_CLASS __new_CNeighborhoodPreservingEmbedding},
1763 {"LinearLocalTangentSpaceAlignment", SHOGUN_BASIC_CLASS __new_CLinearLocalTangentSpaceAlignment},
1764 {"HessianLocallyLinearEmbedding", SHOGUN_BASIC_CLASS __new_CHessianLocallyLinearEmbedding},
1765 {"LocalTangentSpaceAlignment", SHOGUN_BASIC_CLASS __new_CLocalTangentSpaceAlignment},
1766 {"MultidimensionalScaling", SHOGUN_BASIC_CLASS __new_CMultidimensionalScaling},
1767 {"DiffusionMaps", SHOGUN_BASIC_CLASS __new_CDiffusionMaps},
1768 {"FactorAnalysis", SHOGUN_BASIC_CLASS __new_CFactorAnalysis},
1769 {"StochasticProximityEmbedding", SHOGUN_BASIC_CLASS __new_CStochasticProximityEmbedding},
1770 {"LocalityPreservingProjections", SHOGUN_BASIC_CLASS __new_CLocalityPreservingProjections},
1772 {"MulticlassOneVsOneStrategy", SHOGUN_BASIC_CLASS __new_CMulticlassOneVsOneStrategy},
1773 {"LaRank", SHOGUN_BASIC_CLASS __new_CLaRank},
1774 {"MulticlassLogisticRegression", SHOGUN_BASIC_CLASS __new_CMulticlassLogisticRegression},
1775 {"ThresholdRejectionStrategy", SHOGUN_BASIC_CLASS __new_CThresholdRejectionStrategy},
1776 {"DixonQTestRejectionStrategy", SHOGUN_BASIC_CLASS __new_CDixonQTestRejectionStrategy},
1777 {"MulticlassOCAS", SHOGUN_BASIC_CLASS __new_CMulticlassOCAS},
1778 {"MulticlassLibSVM", SHOGUN_BASIC_CLASS __new_CMulticlassLibSVM},
1780 {"MulticlassOneVsRestStrategy", SHOGUN_BASIC_CLASS __new_CMulticlassOneVsRestStrategy},
1781 {"GMNPSVM", SHOGUN_BASIC_CLASS __new_CGMNPSVM},
1782 {"MCLDA", SHOGUN_BASIC_CLASS __new_CMCLDA},
1783 {"ScatterSVM", SHOGUN_BASIC_CLASS __new_CScatterSVM},
1784 {"GaussianNaiveBayes", SHOGUN_BASIC_CLASS __new_CGaussianNaiveBayes},
1785 {"RandomConditionalProbabilityTree", SHOGUN_BASIC_CLASS __new_CRandomConditionalProbabilityTree},
1786 {"RelaxedTree", SHOGUN_BASIC_CLASS __new_CRelaxedTree},
1787 {"BalancedConditionalProbabilityTree", SHOGUN_BASIC_CLASS __new_CBalancedConditionalProbabilityTree},
1788 {"ECOCRandomDenseEncoder", SHOGUN_BASIC_CLASS __new_CECOCRandomDenseEncoder},
1789 {"ECOCStrategy", SHOGUN_BASIC_CLASS __new_CECOCStrategy},
1790 {"ECOCHDDecoder", SHOGUN_BASIC_CLASS __new_CECOCHDDecoder},
1791 {"ECOCIHDDecoder", SHOGUN_BASIC_CLASS __new_CECOCIHDDecoder},
1792 {"ECOCLLBDecoder", SHOGUN_BASIC_CLASS __new_CECOCLLBDecoder},
1793 {"ECOCRandomSparseEncoder", SHOGUN_BASIC_CLASS __new_CECOCRandomSparseEncoder},
1794 {"ECOCEDDecoder", SHOGUN_BASIC_CLASS __new_CECOCEDDecoder},
1795 {"ECOCOVREncoder", SHOGUN_BASIC_CLASS __new_CECOCOVREncoder},
1796 {"ECOCOVOEncoder", SHOGUN_BASIC_CLASS __new_CECOCOVOEncoder},
1797 {"ECOCDiscriminantEncoder", SHOGUN_BASIC_CLASS __new_CECOCDiscriminantEncoder},
1798 {"ECOCAEDDecoder", SHOGUN_BASIC_CLASS __new_CECOCAEDDecoder},
1799 {"ECOCForestEncoder", SHOGUN_BASIC_CLASS __new_CECOCForestEncoder},
1800 {"MulticlassSVM", SHOGUN_BASIC_CLASS __new_CMulticlassSVM},
1801 {"ShareBoost", SHOGUN_BASIC_CLASS __new_CShareBoost},
1802 {"MulticlassLibLinear", SHOGUN_BASIC_CLASS __new_CMulticlassLibLinear},
1803 {"GMNPLib", SHOGUN_BASIC_CLASS __new_CGMNPLib},
1804 {"MulticlassTreeGuidedLogisticRegression", SHOGUN_BASIC_CLASS __new_CMulticlassTreeGuidedLogisticRegression},
1805 {"MMDKernelSelectionMedian", SHOGUN_BASIC_CLASS __new_CMMDKernelSelectionMedian},
1806 {"MMDKernelSelectionMax", SHOGUN_BASIC_CLASS __new_CMMDKernelSelectionMax},
1807 {"MMDKernelSelectionCombMaxL2", SHOGUN_BASIC_CLASS __new_CMMDKernelSelectionCombMaxL2},
1808 {"QuadraticTimeMMD", SHOGUN_BASIC_CLASS __new_CQuadraticTimeMMD},
1809 {"MMDKernelSelectionCombOpt", SHOGUN_BASIC_CLASS __new_CMMDKernelSelectionCombOpt},
1810 {"KernelMeanMatching", SHOGUN_BASIC_CLASS __new_CKernelMeanMatching},
1811 {"MMDKernelSelectionOpt", SHOGUN_BASIC_CLASS __new_CMMDKernelSelectionOpt},
1813 {"LinearTimeMMD", SHOGUN_BASIC_CLASS __new_CLinearTimeMMD},
1814 {"LabelsFactory", SHOGUN_BASIC_CLASS __new_CLabelsFactory},
1815 {"FactorGraphObservation", SHOGUN_BASIC_CLASS __new_CFactorGraphObservation},
1816 {"FactorGraphLabels", SHOGUN_BASIC_CLASS __new_CFactorGraphLabels},
1817 {"MulticlassLabels", SHOGUN_BASIC_CLASS __new_CMulticlassLabels},
1818 {"LatentLabels", SHOGUN_BASIC_CLASS __new_CLatentLabels},
1819 {"MulticlassMultipleOutputLabels", SHOGUN_BASIC_CLASS __new_CMulticlassMultipleOutputLabels},
1820 {"RegressionLabels", SHOGUN_BASIC_CLASS __new_CRegressionLabels},
1821 {"BinaryLabels", SHOGUN_BASIC_CLASS __new_CBinaryLabels},
1822 {"StructuredLabels", SHOGUN_BASIC_CLASS __new_CStructuredLabels},
1823 {"ModelSelectionParameters", SHOGUN_BASIC_CLASS __new_CModelSelectionParameters},
1824 {"GridSearchModelSelection", SHOGUN_BASIC_CLASS __new_CGridSearchModelSelection},
1825 {"ParameterCombination", SHOGUN_BASIC_CLASS __new_CParameterCombination},
1826 {"GradientModelSelection", SHOGUN_BASIC_CLASS __new_CGradientModelSelection},
1827 {"RandomSearchModelSelection", SHOGUN_BASIC_CLASS __new_CRandomSearchModelSelection},
1828 {"GUIMath", SHOGUN_BASIC_CLASS __new_CGUIMath},
1829 {"GUIDistance", SHOGUN_BASIC_CLASS __new_CGUIDistance},
1830 {"GUIConverter", SHOGUN_BASIC_CLASS __new_CGUIConverter},
1831 {"GUIPluginEstimate", SHOGUN_BASIC_CLASS __new_CGUIPluginEstimate},
1832 {"GUIFeatures", SHOGUN_BASIC_CLASS __new_CGUIFeatures},
1833 {"GUIKernel", SHOGUN_BASIC_CLASS __new_CGUIKernel},
1834 {"GUIHMM", SHOGUN_BASIC_CLASS __new_CGUIHMM},
1835 {"GUILabels", SHOGUN_BASIC_CLASS __new_CGUILabels},
1836 {"GUIPreprocessor", SHOGUN_BASIC_CLASS __new_CGUIPreprocessor},
1837 {"GUIClassifier", SHOGUN_BASIC_CLASS __new_CGUIClassifier},
1838 {"GUITime", SHOGUN_BASIC_CLASS __new_CGUITime},
1839 {"GUIStructure", SHOGUN_BASIC_CLASS __new_CGUIStructure},
1840 {"LinearHMM", SHOGUN_BASIC_CLASS __new_CLinearHMM},
1841 {"GaussianDistribution", SHOGUN_BASIC_CLASS __new_CGaussianDistribution},
1843 {"Histogram", SHOGUN_BASIC_CLASS __new_CHistogram},
1844 {"PositionalPWM", SHOGUN_BASIC_CLASS __new_CPositionalPWM},
1846 {"Gaussian", SHOGUN_BASIC_CLASS __new_CGaussian},
1847 {"ManhattanMetric", SHOGUN_BASIC_CLASS __new_CManhattanMetric},
1848 {"KernelDistance", SHOGUN_BASIC_CLASS __new_CKernelDistance},
1849 {"EuclideanDistance", SHOGUN_BASIC_CLASS __new_CEuclideanDistance},
1850 {"HammingWordDistance", SHOGUN_BASIC_CLASS __new_CHammingWordDistance},
1851 {"CosineDistance", SHOGUN_BASIC_CLASS __new_CCosineDistance},
1852 {"CanberraWordDistance", SHOGUN_BASIC_CLASS __new_CCanberraWordDistance},
1853 {"MahalanobisDistance", SHOGUN_BASIC_CLASS __new_CMahalanobisDistance},
1854 {"BrayCurtisDistance", SHOGUN_BASIC_CLASS __new_CBrayCurtisDistance},
1855 {"GeodesicMetric", SHOGUN_BASIC_CLASS __new_CGeodesicMetric},
1856 {"MinkowskiMetric", SHOGUN_BASIC_CLASS __new_CMinkowskiMetric},
1857 {"ChebyshewMetric", SHOGUN_BASIC_CLASS __new_CChebyshewMetric},
1858 {"JensenMetric", SHOGUN_BASIC_CLASS __new_CJensenMetric},
1859 {"CustomDistance", SHOGUN_BASIC_CLASS __new_CCustomDistance},
1860 {"CanberraMetric", SHOGUN_BASIC_CLASS __new_CCanberraMetric},
1861 {"AttenuatedEuclideanDistance", SHOGUN_BASIC_CLASS __new_CAttenuatedEuclideanDistance},
1862 {"ChiSquareDistance", SHOGUN_BASIC_CLASS __new_CChiSquareDistance},
1863 {"ManhattanWordDistance", SHOGUN_BASIC_CLASS __new_CManhattanWordDistance},
1864 {"SparseEuclideanDistance", SHOGUN_BASIC_CLASS __new_CSparseEuclideanDistance},
1865 {"CustomMahalanobisDistance", SHOGUN_BASIC_CLASS __new_CCustomMahalanobisDistance},
1866 {"TanimotoDistance", SHOGUN_BASIC_CLASS __new_CTanimotoDistance},
1867 {"LeastSquaresRegression", SHOGUN_BASIC_CLASS __new_CLeastSquaresRegression},
1868 {"KernelRidgeRegression", SHOGUN_BASIC_CLASS __new_CKernelRidgeRegression},
1869 {"LeastAngleRegression", SHOGUN_BASIC_CLASS __new_CLeastAngleRegression},
1870 {"MKLRegression", SHOGUN_BASIC_CLASS __new_CMKLRegression},
1871 {"LibSVR", SHOGUN_BASIC_CLASS __new_CLibSVR},
1872 {"LibLinearRegression", SHOGUN_BASIC_CLASS __new_CLibLinearRegression},
1873 {"LinearRidgeRegression", SHOGUN_BASIC_CLASS __new_CLinearRidgeRegression},
1874 {"GaussianProcessRegression", SHOGUN_BASIC_CLASS __new_CGaussianProcessRegression},
1875 {"DomainAdaptationSVMLinear", SHOGUN_BASIC_CLASS __new_CDomainAdaptationSVMLinear},
1876 {"DomainAdaptationMulticlassLibLinear", SHOGUN_BASIC_CLASS __new_CDomainAdaptationMulticlassLibLinear},
1878 {"TaskGroup", SHOGUN_BASIC_CLASS __new_CTaskGroup},
1879 {"MultitaskTraceLogisticRegression", SHOGUN_BASIC_CLASS __new_CMultitaskTraceLogisticRegression},
1880 {"MultitaskLinearMachine", SHOGUN_BASIC_CLASS __new_CMultitaskLinearMachine},
1881 {"MultitaskKernelMaskPairNormalizer", SHOGUN_BASIC_CLASS __new_CMultitaskKernelMaskPairNormalizer},
1883 {"Taxonomy", SHOGUN_BASIC_CLASS __new_CTaxonomy},
1884 {"MultitaskKernelTreeNormalizer", SHOGUN_BASIC_CLASS __new_CMultitaskKernelTreeNormalizer},
1885 {"MultitaskL12LogisticRegression", SHOGUN_BASIC_CLASS __new_CMultitaskL12LogisticRegression},
1886 {"MultitaskClusteredLogisticRegression", SHOGUN_BASIC_CLASS __new_CMultitaskClusteredLogisticRegression},
1887 {"LibLinearMTL", SHOGUN_BASIC_CLASS __new_CLibLinearMTL},
1888 {"MultitaskROCEvaluation", SHOGUN_BASIC_CLASS __new_CMultitaskROCEvaluation},
1889 {"MultitaskKernelNormalizer", SHOGUN_BASIC_CLASS __new_CMultitaskKernelNormalizer},
1890 {"TaskTree", SHOGUN_BASIC_CLASS __new_CTaskTree},
1891 {"MultitaskLeastSquaresRegression", SHOGUN_BASIC_CLASS __new_CMultitaskLeastSquaresRegression},
1892 {"MultitaskKernelMaskNormalizer", SHOGUN_BASIC_CLASS __new_CMultitaskKernelMaskNormalizer},
1893 {"MultitaskKernelPlifNormalizer", SHOGUN_BASIC_CLASS __new_CMultitaskKernelPlifNormalizer},
1894 {"MultitaskLogisticRegression", SHOGUN_BASIC_CLASS __new_CMultitaskLogisticRegression},
1895 {"StreamingVwCacheFile", SHOGUN_BASIC_CLASS __new_CStreamingVwCacheFile},
1896 {"StreamingFileFromFeatures", SHOGUN_BASIC_CLASS __new_CStreamingFileFromFeatures},
1897 {"StreamingFile", SHOGUN_BASIC_CLASS __new_CStreamingFile},
1898 {"StreamingVwFile", SHOGUN_BASIC_CLASS __new_CStreamingVwFile},
1899 {"StreamingAsciiFile", SHOGUN_BASIC_CLASS __new_CStreamingAsciiFile},
1900 {"BinaryFile", SHOGUN_BASIC_CLASS __new_CBinaryFile},
1901 {"LibSVMFile", SHOGUN_BASIC_CLASS __new_CLibSVMFile},
1902 {"IOBuffer", SHOGUN_BASIC_CLASS __new_CIOBuffer},
1903 {"LineReader", SHOGUN_BASIC_CLASS __new_CLineReader},
1904 {"SerializableAsciiFile", SHOGUN_BASIC_CLASS __new_CSerializableAsciiFile},
1905 {"CSVFile", SHOGUN_BASIC_CLASS __new_CCSVFile},
1906 {"Parser", SHOGUN_BASIC_CLASS __new_CParser},
1907 {"NearestCentroid", SHOGUN_BASIC_CLASS __new_CNearestCentroid},
1908 {"PluginEstimate", SHOGUN_BASIC_CLASS __new_CPluginEstimate},
1909 {"Perceptron", SHOGUN_BASIC_CLASS __new_CPerceptron},
1910 {"AveragedPerceptron", SHOGUN_BASIC_CLASS __new_CAveragedPerceptron},
1911 {"FeatureBlockLogisticRegression", SHOGUN_BASIC_CLASS __new_CFeatureBlockLogisticRegression},
1912 {"GaussianProcessBinaryClassification", SHOGUN_BASIC_CLASS __new_CGaussianProcessBinaryClassification},
1913 {"MKLClassification", SHOGUN_BASIC_CLASS __new_CMKLClassification},
1914 {"MKLMulticlass", SHOGUN_BASIC_CLASS __new_CMKLMulticlass},
1915 {"MKLOneClass", SHOGUN_BASIC_CLASS __new_CMKLOneClass},
1916 {"VwRegressor", SHOGUN_BASIC_CLASS __new_CVwRegressor},
1917 {"VwParser", SHOGUN_BASIC_CLASS __new_CVwParser},
1918 {"VwNonAdaptiveLearner", SHOGUN_BASIC_CLASS __new_CVwNonAdaptiveLearner},
1919 {"VwAdaptiveLearner", SHOGUN_BASIC_CLASS __new_CVwAdaptiveLearner},
1920 {"VwNativeCacheWriter", SHOGUN_BASIC_CLASS __new_CVwNativeCacheWriter},
1921 {"VwNativeCacheReader", SHOGUN_BASIC_CLASS __new_CVwNativeCacheReader},
1922 {"VowpalWabbit", SHOGUN_BASIC_CLASS __new_CVowpalWabbit},
1923 {"VwEnvironment", SHOGUN_BASIC_CLASS __new_CVwEnvironment},
1925 {"LibSVMOneClass", SHOGUN_BASIC_CLASS __new_CLibSVMOneClass},
1926 {"WDSVMOcas", SHOGUN_BASIC_CLASS __new_CWDSVMOcas},
1927 {"OnlineSVMSGD", SHOGUN_BASIC_CLASS __new_COnlineSVMSGD},
1928 {"QPBSVMLib", SHOGUN_BASIC_CLASS __new_CQPBSVMLib},
1929 {"GNPPLib", SHOGUN_BASIC_CLASS __new_CGNPPLib},
1930 {"LibSVM", SHOGUN_BASIC_CLASS __new_CLibSVM},
1931 {"GNPPSVM", SHOGUN_BASIC_CLASS __new_CGNPPSVM},
1932 {"OnlineLibLinear", SHOGUN_BASIC_CLASS __new_COnlineLibLinear},
1933 {"SGDQN", SHOGUN_BASIC_CLASS __new_CSGDQN},
1934 {"GPBTSVM", SHOGUN_BASIC_CLASS __new_CGPBTSVM},
1935 {"SVMLin", SHOGUN_BASIC_CLASS __new_CSVMLin},
1936 {"SVMSGD", SHOGUN_BASIC_CLASS __new_CSVMSGD},
1937 {"LibLinear", SHOGUN_BASIC_CLASS __new_CLibLinear},
1939 {"MPDSVM", SHOGUN_BASIC_CLASS __new_CMPDSVM},
1940 {"NewtonSVM", SHOGUN_BASIC_CLASS __new_CNewtonSVM},
1941 {"SVMOcas", SHOGUN_BASIC_CLASS __new_CSVMOcas},
1942 {"SquaredLoss", SHOGUN_BASIC_CLASS __new_CSquaredLoss},
1943 {"SmoothHingeLoss", SHOGUN_BASIC_CLASS __new_CSmoothHingeLoss},
1944 {"LogLoss", SHOGUN_BASIC_CLASS __new_CLogLoss},
1945 {"HingeLoss", SHOGUN_BASIC_CLASS __new_CHingeLoss},
1946 {"SquaredHingeLoss", SHOGUN_BASIC_CLASS __new_CSquaredHingeLoss},
1947 {"LogLossMargin", SHOGUN_BASIC_CLASS __new_CLogLossMargin},
1949 {"Random", SHOGUN_BASIC_CLASS __new_CRandom},
1950 {"Statistics", SHOGUN_BASIC_CLASS __new_CStatistics},
1951 {"JADiagOrth", SHOGUN_BASIC_CLASS __new_CJADiagOrth},
1952 {"QDiag", SHOGUN_BASIC_CLASS __new_CQDiag},
1953 {"JediDiag", SHOGUN_BASIC_CLASS __new_CJediDiag},
1954 {"UWedge", SHOGUN_BASIC_CLASS __new_CUWedge},
1955 {"FFDiag", SHOGUN_BASIC_CLASS __new_CFFDiag},
1956 {"JADiag", SHOGUN_BASIC_CLASS __new_CJADiag},
1957 {"SparseInverseCovariance", SHOGUN_BASIC_CLASS __new_CSparseInverseCovariance},
1958 {"Integration", SHOGUN_BASIC_CLASS __new_CIntegration},
1959 {"DirectSparseLinearSolver", SHOGUN_BASIC_CLASS __new_CDirectSparseLinearSolver},
1960 {"ConjugateGradientSolver", SHOGUN_BASIC_CLASS __new_CConjugateGradientSolver},
1961 {"DirectLinearSolverComplex", SHOGUN_BASIC_CLASS __new_CDirectLinearSolverComplex},
1962 {"DirectEigenSolver", SHOGUN_BASIC_CLASS __new_CDirectEigenSolver},
1963 {"LanczosEigenSolver", SHOGUN_BASIC_CLASS __new_CLanczosEigenSolver},
1964 {"LogDetEstimator", SHOGUN_BASIC_CLASS __new_CLogDetEstimator},
1965 {"DenseExactLogJob", SHOGUN_BASIC_CLASS __new_CDenseExactLogJob},
1966 {"RationalApproximationIndividualJob", SHOGUN_BASIC_CLASS __new_CRationalApproximationIndividualJob},
1967 {"RationalApproximationCGMJob", SHOGUN_BASIC_CLASS __new_CRationalApproximationCGMJob},
1968 {"IndividualJobResultAggregator", SHOGUN_BASIC_CLASS __new_CIndividualJobResultAggregator},
1969 {"LogRationalApproximationIndividual", SHOGUN_BASIC_CLASS __new_CLogRationalApproximationIndividual},
1970 {"DenseMatrixExactLog", SHOGUN_BASIC_CLASS __new_CDenseMatrixExactLog},
1971 {"LogRationalApproximationCGM", SHOGUN_BASIC_CLASS __new_CLogRationalApproximationCGM},
1972 {"NormalSampler", SHOGUN_BASIC_CLASS __new_CNormalSampler},
1973 {"JacobiEllipticFunctions", SHOGUN_BASIC_CLASS __new_CJacobiEllipticFunctions},
1974 {"DistanceMachine", SHOGUN_BASIC_CLASS __new_CDistanceMachine},
1975 {"StructuredOutputMachine", SHOGUN_BASIC_CLASS __new_CStructuredOutputMachine},
1976 {"KernelMulticlassMachine", SHOGUN_BASIC_CLASS __new_CKernelMulticlassMachine},
1977 {"LinearStructuredOutputMachine", SHOGUN_BASIC_CLASS __new_CLinearStructuredOutputMachine},
1978 {"LinearMulticlassMachine", SHOGUN_BASIC_CLASS __new_CLinearMulticlassMachine},
1979 {"GaussianProcessMachine", SHOGUN_BASIC_CLASS __new_CGaussianProcessMachine},
1980 {"KernelMachine", SHOGUN_BASIC_CLASS __new_CKernelMachine},
1981 {"BaseMulticlassMachine", SHOGUN_BASIC_CLASS __new_CBaseMulticlassMachine},
1982 {"OnlineLinearMachine", SHOGUN_BASIC_CLASS __new_COnlineLinearMachine},
1983 {"BaggingMachine", SHOGUN_BASIC_CLASS __new_CBaggingMachine},
1984 {"NativeMulticlassMachine", SHOGUN_BASIC_CLASS __new_CNativeMulticlassMachine},
1985 {"LinearMachine", SHOGUN_BASIC_CLASS __new_CLinearMachine},
1986 {"GaussianLikelihood", SHOGUN_BASIC_CLASS __new_CGaussianLikelihood},
1987 {"LogitLikelihood", SHOGUN_BASIC_CLASS __new_CLogitLikelihood},
1988 {"EPInferenceMethod", SHOGUN_BASIC_CLASS __new_CEPInferenceMethod},
1989 {"StudentsTLikelihood", SHOGUN_BASIC_CLASS __new_CStudentsTLikelihood},
1990 {"FITCInferenceMethod", SHOGUN_BASIC_CLASS __new_CFITCInferenceMethod},
1991 {"ZeroMean", SHOGUN_BASIC_CLASS __new_CZeroMean},
1992 {"ExactInferenceMethod", SHOGUN_BASIC_CLASS __new_CExactInferenceMethod},
1993 {"LaplacianInferenceMethod", SHOGUN_BASIC_CLASS __new_CLaplacianInferenceMethod},
1994 {"ProbitLikelihood", SHOGUN_BASIC_CLASS __new_CProbitLikelihood},
1995 {"KernelStructuredOutputMachine", SHOGUN_BASIC_CLASS __new_CKernelStructuredOutputMachine},
1996 {"Machine", SHOGUN_BASIC_CLASS __new_CMachine},
1997 {"WeightedMajorityVote", SHOGUN_BASIC_CLASS __new_CWeightedMajorityVote},
1998 {"MeanRule", SHOGUN_BASIC_CLASS __new_CMeanRule},
1999 {"MajorityVote", SHOGUN_BASIC_CLASS __new_CMajorityVote},
2000 {"HashedWDFeaturesTransposed", SHOGUN_BASIC_CLASS __new_CHashedWDFeaturesTransposed},
2001 {"CombinedFeatures", SHOGUN_BASIC_CLASS __new_CCombinedFeatures},
2002 {"ImplicitWeightedSpecFeatures", SHOGUN_BASIC_CLASS __new_CImplicitWeightedSpecFeatures},
2003 {"StreamingHashedDocDotFeatures", SHOGUN_BASIC_CLASS __new_CStreamingHashedDocDotFeatures},
2004 {"StreamingVwFeatures", SHOGUN_BASIC_CLASS __new_CStreamingVwFeatures},
2005 {"GaussianBlobsDataGenerator", SHOGUN_BASIC_CLASS __new_CGaussianBlobsDataGenerator},
2006 {"MeanShiftDataGenerator", SHOGUN_BASIC_CLASS __new_CMeanShiftDataGenerator},
2007 {"FactorGraphFeatures", SHOGUN_BASIC_CLASS __new_CFactorGraphFeatures},
2008 {"WDFeatures", SHOGUN_BASIC_CLASS __new_CWDFeatures},
2009 {"RandomFourierDotFeatures", SHOGUN_BASIC_CLASS __new_CRandomFourierDotFeatures},
2010 {"HashedDocDotFeatures", SHOGUN_BASIC_CLASS __new_CHashedDocDotFeatures},
2011 {"Subset", SHOGUN_BASIC_CLASS __new_CSubset},
2012 {"DummyFeatures", SHOGUN_BASIC_CLASS __new_CDummyFeatures},
2013 {"DataGenerator", SHOGUN_BASIC_CLASS __new_CDataGenerator},
2014 {"Alphabet", SHOGUN_BASIC_CLASS __new_CAlphabet},
2015 {"SNPFeatures", SHOGUN_BASIC_CLASS __new_CSNPFeatures},
2016 {"CombinedDotFeatures", SHOGUN_BASIC_CLASS __new_CCombinedDotFeatures},
2017 {"TOPFeatures", SHOGUN_BASIC_CLASS __new_CTOPFeatures},
2018 {"FKFeatures", SHOGUN_BASIC_CLASS __new_CFKFeatures},
2019 {"SparsePolyFeatures", SHOGUN_BASIC_CLASS __new_CSparsePolyFeatures},
2020 {"ExplicitSpecFeatures", SHOGUN_BASIC_CLASS __new_CExplicitSpecFeatures},
2021 {"PolyFeatures", SHOGUN_BASIC_CLASS __new_CPolyFeatures},
2022 {"HashedWDFeatures", SHOGUN_BASIC_CLASS __new_CHashedWDFeatures},
2023 {"LBPPyrDotFeatures", SHOGUN_BASIC_CLASS __new_CLBPPyrDotFeatures},
2024 {"SubsetStack", SHOGUN_BASIC_CLASS __new_CSubsetStack},
2025 {"LatentFeatures", SHOGUN_BASIC_CLASS __new_CLatentFeatures},
2026 {"RealFileFeatures", SHOGUN_BASIC_CLASS __new_CRealFileFeatures},
2027 {"BinnedDotFeatures", SHOGUN_BASIC_CLASS __new_CBinnedDotFeatures},
2028 {"LatentSVM", SHOGUN_BASIC_CLASS __new_CLatentSVM},
2029 {"LatentSOSVM", SHOGUN_BASIC_CLASS __new_CLatentSOSVM},
2030 {"KMeans", SHOGUN_BASIC_CLASS __new_CKMeans},
2032 {"Hierarchical", SHOGUN_BASIC_CLASS __new_CHierarchical},
2033 {"TwoStateModel", SHOGUN_BASIC_CLASS __new_CTwoStateModel},
2034 {"SegmentLoss", SHOGUN_BASIC_CLASS __new_CSegmentLoss},
2035 {"FactorType", SHOGUN_BASIC_CLASS __new_CFactorType},
2036 {"TableFactorType", SHOGUN_BASIC_CLASS __new_CTableFactorType},
2037 {"FactorDataSource", SHOGUN_BASIC_CLASS __new_CFactorDataSource},
2038 {"Factor", SHOGUN_BASIC_CLASS __new_CFactor},
2039 {"CCSOSVM", SHOGUN_BASIC_CLASS __new_CCCSOSVM},
2040 {"StochasticSOSVM", SHOGUN_BASIC_CLASS __new_CStochasticSOSVM},
2041 {"FactorGraphModel", SHOGUN_BASIC_CLASS __new_CFactorGraphModel},
2042 {"PlifMatrix", SHOGUN_BASIC_CLASS __new_CPlifMatrix},
2043 {"DisjointSet", SHOGUN_BASIC_CLASS __new_CDisjointSet},
2044 {"IntronList", SHOGUN_BASIC_CLASS __new_CIntronList},
2045 {"PlifArray", SHOGUN_BASIC_CLASS __new_CPlifArray},
2046 {"MAPInference", SHOGUN_BASIC_CLASS __new_CMAPInference},
2047 {"DynProg", SHOGUN_BASIC_CLASS __new_CDynProg},
2048 {"MulticlassModel", SHOGUN_BASIC_CLASS __new_CMulticlassModel},
2049 {"HMSVMModel", SHOGUN_BASIC_CLASS __new_CHMSVMModel},
2050 {"MulticlassSOLabels", SHOGUN_BASIC_CLASS __new_CMulticlassSOLabels},
2051 {"DualLibQPBMSOSVM", SHOGUN_BASIC_CLASS __new_CDualLibQPBMSOSVM},
2052 {"SOSVMHelper", SHOGUN_BASIC_CLASS __new_CSOSVMHelper},
2054 {"Sequence", SHOGUN_BASIC_CLASS __new_CSequence},
2055 {"SequenceLabels", SHOGUN_BASIC_CLASS __new_CSequenceLabels},
2056 {"FactorGraph", SHOGUN_BASIC_CLASS __new_CFactorGraph},
2059 {"DynamicArray", SHOGUN_TEMPLATE_CLASS __new_CDynamicArray},
2060 {"DecompressString", SHOGUN_TEMPLATE_CLASS __new_CDecompressString},
2061 {"TreeMachine", SHOGUN_TEMPLATE_CLASS __new_CTreeMachine},
2062 {"StreamingFileFromSparseFeatures", SHOGUN_TEMPLATE_CLASS __new_CStreamingFileFromSparseFeatures},
2063 {"StreamingFileFromStringFeatures", SHOGUN_TEMPLATE_CLASS __new_CStreamingFileFromStringFeatures},
2064 {"StreamingFileFromDenseFeatures", SHOGUN_TEMPLATE_CLASS __new_CStreamingFileFromDenseFeatures},
2065 {"ParseBuffer", SHOGUN_TEMPLATE_CLASS __new_CParseBuffer},
2067 {"BinaryStream", SHOGUN_TEMPLATE_CLASS __new_CBinaryStream},
2068 {"MemoryMappedFile", SHOGUN_TEMPLATE_CLASS __new_CMemoryMappedFile},
2069 {"MatrixFeatures", SHOGUN_TEMPLATE_CLASS __new_CMatrixFeatures},
2070 {"StreamingHashedDenseFeatures", SHOGUN_TEMPLATE_CLASS __new_CStreamingHashedDenseFeatures},
2071 {"StreamingHashedSparseFeatures", SHOGUN_TEMPLATE_CLASS __new_CStreamingHashedSparseFeatures},
2072 {"StreamingSparseFeatures", SHOGUN_TEMPLATE_CLASS __new_CStreamingSparseFeatures},
2073 {"StreamingStringFeatures", SHOGUN_TEMPLATE_CLASS __new_CStreamingStringFeatures},
2074 {"StreamingDenseFeatures", SHOGUN_TEMPLATE_CLASS __new_CStreamingDenseFeatures},
2075 {"HashedDenseFeatures", SHOGUN_TEMPLATE_CLASS __new_CHashedDenseFeatures},
2076 {"StringFileFeatures", SHOGUN_TEMPLATE_CLASS __new_CStringFileFeatures},
2077 {"SparseFeatures", SHOGUN_TEMPLATE_CLASS __new_CSparseFeatures},
2078 {"DenseFeatures", SHOGUN_TEMPLATE_CLASS __new_CDenseFeatures},
2079 {"StringFeatures", SHOGUN_TEMPLATE_CLASS __new_CStringFeatures},
2080 {"DenseSubsetFeatures", SHOGUN_TEMPLATE_CLASS __new_CDenseSubsetFeatures},
2081 {"HashedSparseFeatures", SHOGUN_TEMPLATE_CLASS __new_CHashedSparseFeatures},
2082 {"ScalarResult", SHOGUN_TEMPLATE_CLASS __new_CScalarResult},
2083 {"VectorResult", SHOGUN_TEMPLATE_CLASS __new_CVectorResult},
2084 {"StoreScalarAggregator", SHOGUN_TEMPLATE_CLASS __new_CStoreScalarAggregator},
2085 {"SparseMatrixOperator", SHOGUN_TEMPLATE_CLASS __new_CSparseMatrixOperator},
2086 {"DenseMatrixOperator", SHOGUN_TEMPLATE_CLASS __new_CDenseMatrixOperator}, {NULL, NULL}
2087 };
2088 
2089 CSGObject* shogun::new_sgserializable(const char* sgserializable_name,
2090  EPrimitiveType generic)
2091 {
2092  for (class_list_entry_t* i=class_list; i->m_class_name != NULL;
2093  i++)
2094  {
2095  if (strncmp(i->m_class_name, sgserializable_name, STRING_LEN) == 0)
2096  return i->m_new_sgserializable(generic);
2097  }
2098 
2099  return NULL;
2100 }
static SHOGUN_BASIC_CLASS CSGObject * __new_CVwParser(EPrimitiveType g)
Definition: class_list.cpp:775
static SHOGUN_BASIC_CLASS CSGObject * __new_CStreamingAsciiFile(EPrimitiveType g)
Definition: class_list.cpp:757
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:478
static SHOGUN_BASIC_CLASS CSGObject * __new_CMMDKernelSelectionMedian(EPrimitiveType g)
Definition: class_list.cpp:663
An I/O buffer class.
Definition: IOBuffer.h:44
static SHOGUN_BASIC_CLASS CSGObject * __new_CQDA(EPrimitiveType g)
Definition: class_list.cpp:629
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:839
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:784
static SHOGUN_BASIC_CLASS CSGObject * __new_CHashedWDFeatures(EPrimitiveType g)
Definition: class_list.cpp:880
static SHOGUN_BASIC_CLASS CSGObject * __new_CStreamingHashedDocDotFeatures(EPrimitiveType g)
Definition: class_list.cpp:861
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:751
static SHOGUN_BASIC_CLASS CSGObject * __new_COnlineSVMSGD(EPrimitiveType g)
Definition: class_list.cpp:785
static SHOGUN_BASIC_CLASS CSGObject * __new_CCosineDistance(EPrimitiveType g)
Definition: class_list.cpp:709
class SVMLin
Definition: SVMLin.h:22
Wrapper class for an index subset which is used by SubsetStack.
Definition: Subset.h:22
UI labels.
Definition: GUILabels.h:24
static SHOGUN_BASIC_CLASS CSGObject * __new_CMeanAbsoluteError(EPrimitiveType g)
Definition: class_list.cpp:574
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:700
class LinearLocalTangentSpaceAlignment converter used to construct embeddings as described in: ...
static SHOGUN_BASIC_CLASS CSGObject * __new_CJediDiag(EPrimitiveType g)
Definition: class_list.cpp:811
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:576
Spherical kernel.
Positional PWM.
Definition: PositionalPWM.h:22
static SHOGUN_BASIC_CLASS CSGObject * __new_CDirectLinearSolverComplex(EPrimitiveType g)
Definition: class_list.cpp:819
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:475
static SHOGUN_BASIC_CLASS CSGObject * __new_CLocalityPreservingProjections(EPrimitiveType g)
Definition: class_list.cpp:628
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:762
static SHOGUN_BASIC_CLASS CSGObject * __new_CJediSep(EPrimitiveType g)
Definition: class_list.cpp:612
static SHOGUN_BASIC_CLASS CSGObject * __new_CMultitaskLogisticRegression(EPrimitiveType g)
Definition: class_list.cpp:752
Class OnlineLinearMachine is a generic interface for linear machines like classifiers which work thro...
Class that models Logit likelihood.
Class QDA implements Quadratic Discriminant Analysis.
Definition: QDA.h:36
Base class of the labels used in Structured Output (SO) problems.
The standard Sigmoid kernel computed on dense real valued features.
Definition: SigmoidKernel.h:29
The class CNGramTokenizer is used to tokenize a SGVector&lt;char&gt; into n-grams.
Latent Features class The class if for representing features for latent learning, e...
The class MulticlassOVREvaluation used to compute evaluation parameters of multiclass classification ...
static SHOGUN_BASIC_CLASS CSGObject * __new_CCombinedDotFeatures(EPrimitiveType g)
Definition: class_list.cpp:874
static SHOGUN_BASIC_CLASS CSGObject * __new_CMulticlassMultipleOutputLabels(EPrimitiveType g)
Definition: class_list.cpp:677
The class ContingencyTableEvaluation a base class used to evaluate 2-class classification with TP...
Class CVwNativeCacheReader reads from a cache exactly as that which has been produced by VW&#39;s default...
static SHOGUN_BASIC_CLASS CSGObject * __new_CLocalAlignmentStringKernel(EPrimitiveType g)
Definition: class_list.cpp:524
Computes the standard polynomial kernel on CDotFeatures.
Definition: PolyKernel.h:36
static SHOGUN_BASIC_CLASS CSGObject * __new_CLOOCrossValidationSplitting(EPrimitiveType g)
Definition: class_list.cpp:590
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:617
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:891
static SHOGUN_BASIC_CLASS CSGObject * __new_CMMDKernelSelectionCombMaxL2(EPrimitiveType g)
Definition: class_list.cpp:665
static SHOGUN_BASIC_CLASS CSGObject * __new_CGaussianProcessBinaryClassification(EPrimitiveType g)
Definition: class_list.cpp:770
static SHOGUN_BASIC_CLASS CSGObject * __new_CLocalityImprovedStringKernel(EPrimitiveType g)
Definition: class_list.cpp:541
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:565
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:884
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:546
Class that generates jobs for computing logarithm of a dense matrix linear operator.
static SHOGUN_BASIC_CLASS CSGObject * __new_CCombinedKernel(EPrimitiveType g)
Definition: class_list.cpp:515
static SHOGUN_BASIC_CLASS CSGObject * __new_CCanberraMetric(EPrimitiveType g)
Definition: class_list.cpp:718
static SHOGUN_TEMPLATE_CLASS CSGObject * __new_CDenseFeatures(EPrimitiveType g)
static SHOGUN_BASIC_CLASS CSGObject * __new_CPositionalPWM(EPrimitiveType g)
Definition: class_list.cpp:702
class Factor Analysis used to embed data using Factor Analysis algorithm.
static SHOGUN_BASIC_CLASS CSGObject * __new_CRandom(EPrimitiveType g)
Definition: class_list.cpp:807
static SHOGUN_BASIC_CLASS CSGObject * __new_CLineReader(EPrimitiveType g)
Definition: class_list.cpp:761
static SHOGUN_BASIC_CLASS CSGObject * __new_CSortUlongString(EPrimitiveType g)
Definition: class_list.cpp:600
static SHOGUN_BASIC_CLASS CSGObject * __new_CECOCRandomDenseEncoder(EPrimitiveType g)
Definition: class_list.cpp:646
static SHOGUN_BASIC_CLASS CSGObject * __new_CLeastAngleRegression(EPrimitiveType g)
Definition: class_list.cpp:727
The Diagonal Kernel returns a constant for the diagonal and zero otherwise.
Definition: DiagKernel.h:26
threshold based rejection strategy
static SHOGUN_BASIC_CLASS CSGObject * __new_CMulticlassLogisticRegression(EPrimitiveType g)
Definition: class_list.cpp:632
static SHOGUN_BASIC_CLASS CSGObject * __new_CLinearStringKernel(EPrimitiveType g)
Definition: class_list.cpp:535
class to implement LibLinear
Definition: LibLinearMTL.h:90
static SHOGUN_BASIC_CLASS CSGObject * __new_CLogDetEstimator(EPrimitiveType g)
Definition: class_list.cpp:822
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:494
static SHOGUN_BASIC_CLASS CSGObject * __new_CBinnedDotFeatures(EPrimitiveType g)
Definition: class_list.cpp:885
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:813
static SHOGUN_BASIC_CLASS CSGObject * __new_CTaskTree(EPrimitiveType g)
Definition: class_list.cpp:748
static SHOGUN_BASIC_CLASS CSGObject * __new_CStructuredData(EPrimitiveType g)
Definition: class_list.cpp:480
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:831
static SHOGUN_BASIC_CLASS CSGObject * __new_CFactorGraphObservation(EPrimitiveType g)
Definition: class_list.cpp:673
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:634
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:810
static SHOGUN_BASIC_CLASS CSGObject * __new_CWaveKernel(EPrimitiveType g)
Definition: class_list.cpp:491
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:530
CTaxonomy is used to describe hierarchical structure between tasks.
static SHOGUN_BASIC_CLASS CSGObject * __new_CKNN(EPrimitiveType g)
Definition: class_list.cpp:637
static SHOGUN_BASIC_CLASS CSGObject * __new_CMahalanobisDistance(EPrimitiveType g)
Definition: class_list.cpp:711
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:534
#define SHOGUN_BASIC_CLASS
Definition: class_list.cpp:472
LibSVM.
Definition: LibSVM.h:28
static SHOGUN_BASIC_CLASS CSGObject * __new_CMultitaskLinearMachine(EPrimitiveType g)
Definition: class_list.cpp:738
static SHOGUN_BASIC_CLASS CSGObject * __new_CParameterCombination(EPrimitiveType g)
Definition: class_list.cpp:683
static SHOGUN_BASIC_CLASS CSGObject * __new_CBrayCurtisDistance(EPrimitiveType g)
Definition: class_list.cpp:712
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:523
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:473
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:566
class JediSep
Definition: JediSep.h:35
static SHOGUN_BASIC_CLASS CSGObject * __new_CFactorGraphLabels(EPrimitiveType g)
Definition: class_list.cpp:674
static SHOGUN_BASIC_CLASS CSGObject * __new_CBinaryFile(EPrimitiveType g)
Definition: class_list.cpp:758
static SHOGUN_BASIC_CLASS CSGObject * __new_CFactorType(EPrimitiveType g)
Definition: class_list.cpp:893
static SHOGUN_BASIC_CLASS CSGObject * __new_CPlifArray(EPrimitiveType g)
Definition: class_list.cpp:903
Class CVwEnvironment is the environment used by VW.
Definition: VwEnvironment.h:39
Class that computes multiple independent instances of computation jobs sequentially.
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)
Definition: class_list.cpp:961
static SHOGUN_BASIC_CLASS CSGObject * __new_CAlphabet(EPrimitiveType g)
Definition: class_list.cpp:872
static SHOGUN_BASIC_CLASS CSGObject * __new_CNeighborhoodPreservingEmbedding(EPrimitiveType g)
Definition: class_list.cpp:620
static SHOGUN_BASIC_CLASS CSGObject * __new_CCustomKernel(EPrimitiveType g)
Definition: class_list.cpp:501
simplified version of Dixon&#39;s Q test outlier based rejection strategy. Statistic values are taken fro...
Implementaion of rational approximation of a operator-function times vector where the operator functi...
static SHOGUN_BASIC_CLASS CSGObject * __new_CStructuredLabels(EPrimitiveType g)
Definition: class_list.cpp:680
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:658
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:679
static SHOGUN_BASIC_CLASS CSGObject * __new_CGaussianNaiveBayes(EPrimitiveType g)
Definition: class_list.cpp:642
static SHOGUN_BASIC_CLASS CSGObject * __new_CDirectSparseLinearSolver(EPrimitiveType g)
Definition: class_list.cpp:817
static SHOGUN_BASIC_CLASS CSGObject * __new_CMulticlassLabels(EPrimitiveType g)
Definition: class_list.cpp:675
UI HMM (Hidden Markov Model)
Definition: GUIHMM.h:26
The Jensen-Shannon kernel operating on real-valued vectors computes the Jensen-Shannon distance betwe...
static SHOGUN_BASIC_CLASS CSGObject * __new_CRandomSearchModelSelection(EPrimitiveType g)
Definition: class_list.cpp:685
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:878
static SHOGUN_BASIC_CLASS CSGObject * __new_CGUIPreprocessor(EPrimitiveType g)
Definition: class_list.cpp:694
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:490
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:671
static SHOGUN_BASIC_CLASS CSGObject * __new_CZeroMeanCenterKernelNormalizer(EPrimitiveType g)
Definition: class_list.cpp:550
class MinkowskiMetric
CVwParser is the object which provides the functions to parse examples from buffered input...
Definition: VwParser.h:46
static SHOGUN_BASIC_CLASS CSGObject * __new_CSVMLin(EPrimitiveType g)
Definition: class_list.cpp:793
static SHOGUN_BASIC_CLASS CSGObject * __new_CGUIStructure(EPrimitiveType g)
Definition: class_list.cpp:697
static SHOGUN_BASIC_CLASS CSGObject * __new_CTensorProductPairKernel(EPrimitiveType g)
Definition: class_list.cpp:500
static SHOGUN_BASIC_CLASS CSGObject * __new_CLDA(EPrimitiveType g)
Definition: class_list.cpp:782
static SHOGUN_BASIC_CLASS CSGObject * __new_CLibLinearRegression(EPrimitiveType g)
Definition: class_list.cpp:730
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:836
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:563
static SHOGUN_BASIC_CLASS CSGObject * __new_CGUIConverter(EPrimitiveType g)
Definition: class_list.cpp:688
static SHOGUN_BASIC_CLASS CSGObject * __new_CStreamingFile(EPrimitiveType g)
Definition: class_list.cpp:755
static SHOGUN_BASIC_CLASS CSGObject * __new_CJensenShannonKernel(EPrimitiveType g)
Definition: class_list.cpp:547
class MPDSVM
Definition: MPDSVM.h:21
class CTwoStateModel class for the internal two-state representation used in the CHMSVMModel.
Definition: TwoStateModel.h:24
static SHOGUN_BASIC_CLASS CSGObject * __new_CLocalTangentSpaceAlignment(EPrimitiveType g)
Definition: class_list.cpp:623
static SHOGUN_BASIC_CLASS CSGObject * __new_CDenseExactLogJob(EPrimitiveType g)
Definition: class_list.cpp:823
Template class SparseFeatures implements sparse matrices.
static SHOGUN_BASIC_CLASS CSGObject * __new_CDiffusionMaps(EPrimitiveType g)
Definition: class_list.cpp:625
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:518
spectrum rbf kernel
static SHOGUN_BASIC_CLASS CSGObject * __new_CJADiag(EPrimitiveType g)
Definition: class_list.cpp:814
static SHOGUN_BASIC_CLASS CSGObject * __new_CGUIDistance(EPrimitiveType g)
Definition: class_list.cpp:687
static SHOGUN_BASIC_CLASS CSGObject * __new_CSNPStringKernel(EPrimitiveType g)
Definition: class_list.cpp:542
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:801
static SHOGUN_BASIC_CLASS CSGObject * __new_CDiagKernel(EPrimitiveType g)
Definition: class_list.cpp:513
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:624
static SHOGUN_BASIC_CLASS CSGObject * __new_CGaussian(EPrimitiveType g)
Definition: class_list.cpp:704
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:842
static SHOGUN_BASIC_CLASS CSGObject * __new_CLMNN(EPrimitiveType g)
Definition: class_list.cpp:560
static SHOGUN_BASIC_CLASS CSGObject * __new_CRationalQuadraticKernel(EPrimitiveType g)
Definition: class_list.cpp:502
class FeatureBlockLogisticRegression, a linear binary logistic loss classifier for problems with comp...
UI time.
Definition: GUITime.h:23
The class Alphabet implements an alphabet and alphabet utility functions.
Definition: Alphabet.h:88
Class Averaged Perceptron implements the standard linear (online) algorithm. Averaged perceptron is t...
This class is identical to the CDenseFeatures class except that it hashes each dimension to a new fea...
class GHMM - this class is non-functional and was meant to implement a Generalize Hidden Markov Model...
Definition: GHMM.h:22
static SHOGUN_BASIC_CLASS CSGObject * __new_CRescaleFeatures(EPrimitiveType g)
Definition: class_list.cpp:596
static SHOGUN_BASIC_CLASS CSGObject * __new_CBitString(EPrimitiveType g)
Definition: class_list.cpp:483
static SHOGUN_BASIC_CLASS CSGObject * __new_CLinearStructuredOutputMachine(EPrimitiveType g)
Definition: class_list.cpp:835
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:516
The class MulticlassAccuracy used to compute accuracy of multiclass classification.
static SHOGUN_BASIC_CLASS CSGObject * __new_CSignal(EPrimitiveType g)
Definition: class_list.cpp:489
static SHOGUN_BASIC_CLASS CSGObject * __new_CCrossValidationSplitting(EPrimitiveType g)
Definition: class_list.cpp:573
class Tanimoto coefficient
static SHOGUN_BASIC_CLASS CSGObject * __new_CScatterSVM(EPrimitiveType g)
Definition: class_list.cpp:641
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:828
static SHOGUN_BASIC_CLASS CSGObject * __new_CGMNPSVM(EPrimitiveType g)
Definition: class_list.cpp:639
static SHOGUN_BASIC_CLASS CSGObject * __new_CECOCHDDecoder(EPrimitiveType g)
Definition: class_list.cpp:648
static SHOGUN_BASIC_CLASS CSGObject * __new_CWeightedDegreePositionStringKernel(EPrimitiveType g)
Definition: class_list.cpp:531
static SHOGUN_BASIC_CLASS CSGObject * __new_CMulticlassLibLinear(EPrimitiveType g)
Definition: class_list.cpp:660
static SHOGUN_BASIC_CLASS CSGObject * __new_CRandomFourierGaussPreproc(EPrimitiveType g)
Definition: class_list.cpp:603
static SHOGUN_BASIC_CLASS CSGObject * __new_CLMNNStatistics(EPrimitiveType g)
Definition: class_list.cpp:561
static SHOGUN_BASIC_CLASS CSGObject * __new_CMultitaskROCEvaluation(EPrimitiveType g)
Definition: class_list.cpp:746
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:635
static SHOGUN_BASIC_CLASS CSGObject * __new_CCommUlongStringKernel(EPrimitiveType g)
Definition: class_list.cpp:533
static SHOGUN_BASIC_CLASS CSGObject * __new_CGUIFeatures(EPrimitiveType g)
Definition: class_list.cpp:690
static SHOGUN_BASIC_CLASS CSGObject * __new_COnlineLibLinear(EPrimitiveType g)
Definition: class_list.cpp:790
static SHOGUN_TEMPLATE_CLASS CSGObject * __new_CStreamingFileFromStringFeatures(EPrimitiveType g)
static SHOGUN_BASIC_CLASS CSGObject * __new_CDualLibQPBMSOSVM(EPrimitiveType g)
Definition: class_list.cpp:909
VwAdaptiveLearner uses an adaptive subgradient technique to update weights.
static SHOGUN_BASIC_CLASS CSGObject * __new_CCustomDistance(EPrimitiveType g)
Definition: class_list.cpp:717
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:914
static SHOGUN_BASIC_CLASS CSGObject * __new_CHomogeneousKernelMap(EPrimitiveType g)
Definition: class_list.cpp:597
static SHOGUN_BASIC_CLASS CSGObject * __new_CContingencyTableEvaluation(EPrimitiveType g)
Definition: class_list.cpp:580
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:571
static SHOGUN_BASIC_CLASS CSGObject * __new_CLeastSquaresRegression(EPrimitiveType g)
Definition: class_list.cpp:725
static SHOGUN_BASIC_CLASS CSGObject * __new_CWeightedDegreeStringKernel(EPrimitiveType g)
Definition: class_list.cpp:544
static SHOGUN_BASIC_CLASS CSGObject * __new_CManifoldSculpting(EPrimitiveType g)
Definition: class_list.cpp:619
static SHOGUN_BASIC_CLASS CSGObject * __new_CPCA(EPrimitiveType g)
Definition: class_list.cpp:598
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:850
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:854
static SHOGUN_BASIC_CLASS CSGObject * __new_CNormalSampler(EPrimitiveType g)
Definition: class_list.cpp:830
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:569
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:765
static SHOGUN_BASIC_CLASS CSGObject * __new_CLibLinearMTL(EPrimitiveType g)
Definition: class_list.cpp:745
static SHOGUN_TEMPLATE_CLASS CSGObject * __new_CDenseSubsetFeatures(EPrimitiveType g)
static SHOGUN_BASIC_CLASS CSGObject * __new_CSOBI(EPrimitiveType g)
Definition: class_list.cpp:614
static SHOGUN_BASIC_CLASS CSGObject * __new_CChiSquareDistance(EPrimitiveType g)
Definition: class_list.cpp:720
static SHOGUN_BASIC_CLASS CSGObject * __new_CKMeans(EPrimitiveType g)
Definition: class_list.cpp:888
static SHOGUN_TEMPLATE_CLASS CSGObject * __new_CStreamingFileFromDenseFeatures(EPrimitiveType g)
static SHOGUN_BASIC_CLASS CSGObject * __new_CSparsePolyFeatures(EPrimitiveType g)
Definition: class_list.cpp:877
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:627
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:657
static SHOGUN_BASIC_CLASS CSGObject * __new_CExponentialKernel(EPrimitiveType g)
Definition: class_list.cpp:548
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:482
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:886
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:506
static SHOGUN_BASIC_CLASS CSGObject * __new_CLinearKernel(EPrimitiveType g)
Definition: class_list.cpp:510
static SHOGUN_BASIC_CLASS CSGObject * __new_CKernelMachine(EPrimitiveType g)
Definition: class_list.cpp:838
static SHOGUN_BASIC_CLASS CSGObject * __new_CLogKernel(EPrimitiveType g)
Definition: class_list.cpp:505
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:555
class DomainAdaptationSVMLinear
Model selection class which searches for the best model by a grid- search. See CModelSelection for de...
class Tron
Definition: tron.h:55
class LibSVMMultiClass. Does one vs one classification.
static SHOGUN_BASIC_CLASS CSGObject * __new_CDisjointSet(EPrimitiveType g)
Definition: class_list.cpp:901
static SHOGUN_BASIC_CLASS CSGObject * __new_CStochasticSOSVM(EPrimitiveType g)
Definition: class_list.cpp:898
static SHOGUN_BASIC_CLASS CSGObject * __new_CSquaredLoss(EPrimitiveType g)
Definition: class_list.cpp:800
static SHOGUN_BASIC_CLASS CSGObject * __new_CSVMSGD(EPrimitiveType g)
Definition: class_list.cpp:794
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:514
static SHOGUN_BASIC_CLASS CSGObject * __new_CFastICA(EPrimitiveType g)
Definition: class_list.cpp:616
Multiple Kernel Learning for regression.
Definition: MKLRegression.h:25
static SHOGUN_BASIC_CLASS CSGObject * __new_CGaussianMatchStringKernel(EPrimitiveType g)
Definition: class_list.cpp:526
Class CMeanSquaredLogError used to compute an error of regression model.
static SHOGUN_BASIC_CLASS CSGObject * __new_CCCSOSVM(EPrimitiveType g)
Definition: class_list.cpp:897
static SHOGUN_BASIC_CLASS CSGObject * __new_CBALMeasure(EPrimitiveType g)
Definition: class_list.cpp:583
Class LDA implements regularized Linear Discriminant Analysis.
Definition: LDA.h:52
static SHOGUN_BASIC_CLASS CSGObject * __new_CLibLinear(EPrimitiveType g)
Definition: class_list.cpp:795
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:539
static SHOGUN_BASIC_CLASS CSGObject * __new_CSqrtDiagKernelNormalizer(EPrimitiveType g)
Definition: class_list.cpp:557
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:497
static SHOGUN_BASIC_CLASS CSGObject * __new_CLatentFeatures(EPrimitiveType g)
Definition: class_list.cpp:883
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:892
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:652
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:693
CCSOSVM.
Definition: CCSOSVM.h:43
Features that compute the Weighted Spectrum Kernel feature space explicitly.
The Chi2 kernel operating on realvalued vectors computes the chi-squared distance between sets of his...
Definition: Chi2Kernel.h:32
static SHOGUN_BASIC_CLASS CSGObject * __new_CSubset(EPrimitiveType g)
Definition: class_list.cpp:869
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 StreamingFileFromFeatures to read vector-by-vector from a CFeatures object. ...
class ChebyshewMetric
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:803
static SHOGUN_BASIC_CLASS CSGObject * __new_CMPDSVM(EPrimitiveType g)
Definition: class_list.cpp:797
Gaussian Kernel with Automatic Relevance Detection.
static SHOGUN_BASIC_CLASS CSGObject * __new_CPluginEstimate(EPrimitiveType g)
Definition: class_list.cpp:766
static SHOGUN_BASIC_CLASS CSGObject * __new_CTaskGroup(EPrimitiveType g)
Definition: class_list.cpp:736
Class for storing MKL weights in every fold of cross-validation.
static SHOGUN_BASIC_CLASS CSGObject * __new_CParser(EPrimitiveType g)
Definition: class_list.cpp:764
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:678
static SHOGUN_BASIC_CLASS CSGObject * __new_CMultitaskKernelMaskNormalizer(EPrimitiveType g)
Definition: class_list.cpp:750
static SHOGUN_BASIC_CLASS CSGObject * __new_CEPInferenceMethod(EPrimitiveType g)
Definition: class_list.cpp:846
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:719
static SHOGUN_BASIC_CLASS CSGObject * __new_CUWedge(EPrimitiveType g)
Definition: class_list.cpp:812
static SHOGUN_BASIC_CLASS CSGObject * __new_CProbitLikelihood(EPrimitiveType g)
Definition: class_list.cpp:852
Weighted Majority Vote implementation.
static SHOGUN_BASIC_CLASS CSGObject * __new_CFKFeatures(EPrimitiveType g)
Definition: class_list.cpp:876
static SHOGUN_BASIC_CLASS CSGObject * __new_CWaveletKernel(EPrimitiveType g)
Definition: class_list.cpp:503
CSGObject *(* new_sgserializable_t)(EPrimitiveType generic)
static SHOGUN_BASIC_CLASS CSGObject * __new_CRecallMeasure(EPrimitiveType g)
Definition: class_list.cpp:587
static SHOGUN_BASIC_CLASS CSGObject * __new_CMulticlassOneVsRestStrategy(EPrimitiveType g)
Definition: class_list.cpp:638
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:735
The helper class to specialize base class instances of labels.
Definition: LabelsFactory.h:28
Class that is able to generate various data samples, which may be used for examples in SHOGUN...
Definition: DataGenerator.h:24
static SHOGUN_BASIC_CLASS CSGObject * __new_CGUIMath(EPrimitiveType g)
Definition: class_list.cpp:686
static SHOGUN_BASIC_CLASS CSGObject * __new_CGaussianKernel(EPrimitiveType g)
Definition: class_list.cpp:498
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:586
static SHOGUN_BASIC_CLASS CSGObject * __new_CSerialComputationEngine(EPrimitiveType g)
Definition: class_list.cpp:488
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:527
This class can be used to convert a document collection contained in a CStringFeatures&lt;char&gt; object w...
class MultitaskTraceLogisticRegression, a classifier for multitask problems. Supports only task group...
NeighborhoodPreservingEmbedding converter used to construct embeddings as described in: ...
static SHOGUN_TEMPLATE_CLASS CSGObject * __new_CSet(EPrimitiveType g)
Definition: class_list.cpp:938
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:849
static SHOGUN_BASIC_CLASS CSGObject * __new_CGaussianProcessMachine(EPrimitiveType g)
Definition: class_list.cpp:837
static SHOGUN_BASIC_CLASS CSGObject * __new_CGMM(EPrimitiveType g)
Definition: class_list.cpp:889
static SHOGUN_BASIC_CLASS CSGObject * __new_CANOVAKernel(EPrimitiveType g)
Definition: class_list.cpp:499
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:508
static SHOGUN_BASIC_CLASS CSGObject * __new_CKernelDistance(EPrimitiveType g)
Definition: class_list.cpp:706
static SHOGUN_BASIC_CLASS CSGObject * __new_CF1Measure(EPrimitiveType g)
Definition: class_list.cpp:585
static SHOGUN_BASIC_CLASS CSGObject * __new_CGradientModelSelection(EPrimitiveType g)
Definition: class_list.cpp:684
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:848
Simple class which specifies the direction of gradient search.
CMajorityVote is a CWeightedMajorityVote combiner, where each Machine&#39;s weight in the ensemble is 1...
Definition: MajorityVote.h:22
Implementation of Leave one out cross-validation on the base of CCrossValidationSplitting. Produces subset index sets consisting of one element,for each label.
static SHOGUN_BASIC_CLASS CSGObject * __new_CJADiagOrth(EPrimitiveType g)
Definition: class_list.cpp:809
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:691
static SHOGUN_BASIC_CLASS CSGObject * __new_CMajorityVote(EPrimitiveType g)
Definition: class_list.cpp:857
Class for reading from a string.
Definition: Parser.h:19
static SHOGUN_BASIC_CLASS CSGObject * __new_CMMDKernelSelectionMax(EPrimitiveType g)
Definition: class_list.cpp:664
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:644
static SHOGUN_BASIC_CLASS CSGObject * __new_CMultitaskClusteredLogisticRegression(EPrimitiveType g)
Definition: class_list.cpp:744
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:778
static SHOGUN_BASIC_CLASS CSGObject * __new_CECOCStrategy(EPrimitiveType g)
Definition: class_list.cpp:647
static SHOGUN_BASIC_CLASS CSGObject * __new_CScatterKernelNormalizer(EPrimitiveType g)
Definition: class_list.cpp:549
static SHOGUN_BASIC_CLASS CSGObject * __new_CMultitaskKernelTreeNormalizer(EPrimitiveType g)
Definition: class_list.cpp:742
static SHOGUN_BASIC_CLASS CSGObject * __new_CSparseSpatialSampleStringKernel(EPrimitiveType g)
Definition: class_list.cpp:540
static SHOGUN_BASIC_CLASS CSGObject * __new_CTanimotoDistance(EPrimitiveType g)
Definition: class_list.cpp:724
KMeans clustering, partitions the data into k (a-priori specified) clusters.
Definition: KMeans.h:41
static SHOGUN_BASIC_CLASS CSGObject * __new_CStudentsTLikelihood(EPrimitiveType g)
Definition: class_list.cpp:847
Computes the standard linear kernel on dense char valued features.
static SHOGUN_BASIC_CLASS CSGObject * __new_CImplicitWeightedSpecFeatures(EPrimitiveType g)
Definition: class_list.cpp:860
static SHOGUN_BASIC_CLASS CSGObject * __new_CIndexBlock(EPrimitiveType g)
Definition: class_list.cpp:485
static SHOGUN_BASIC_CLASS CSGObject * __new_CVwNonAdaptiveLearner(EPrimitiveType g)
Definition: class_list.cpp:776
static SHOGUN_BASIC_CLASS CSGObject * __new_CGPBTSVM(EPrimitiveType g)
Definition: class_list.cpp:792
An experimental kernel inspired by the WeightedDegreePositionStringKernel and the Gaussian kernel...
static SHOGUN_TEMPLATE_CLASS CSGObject * __new_CBinaryStream(EPrimitiveType g)
static SHOGUN_BASIC_CLASS CSGObject * __new_CPruneVarSubMean(EPrimitiveType g)
Definition: class_list.cpp:602
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:699
static SHOGUN_BASIC_CLASS CSGObject * __new_CWRACCMeasure(EPrimitiveType g)
Definition: class_list.cpp:584
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)
Definition: class_list.cpp:915
static SHOGUN_BASIC_CLASS CSGObject * __new_CLinearHMM(EPrimitiveType g)
Definition: class_list.cpp:698
static SHOGUN_BASIC_CLASS CSGObject * __new_CSquaredHingeLoss(EPrimitiveType g)
Definition: class_list.cpp:804
static SHOGUN_BASIC_CLASS CSGObject * __new_CLaRank(EPrimitiveType g)
Definition: class_list.cpp:631
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:577
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:492
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:670
static SHOGUN_BASIC_CLASS CSGObject * __new_CKernelPCA(EPrimitiveType g)
Definition: class_list.cpp:594
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:829
static SHOGUN_BASIC_CLASS CSGObject * __new_CTDistributedStochasticNeighborEmbedding(EPrimitiveType g)
Definition: class_list.cpp:618
static SHOGUN_BASIC_CLASS CSGObject * __new_CFirstElementKernelNormalizer(EPrimitiveType g)
Definition: class_list.cpp:552
LatentSVM class Latent SVM implementation based on [1]. For optimization this implementation uses SVM...
Definition: LatentSVM.h:32
static SHOGUN_BASIC_CLASS CSGObject * __new_CErrorRateMeasure(EPrimitiveType g)
Definition: class_list.cpp:582
class JensenMetric
Definition: JensenMetric.h:34
static SHOGUN_BASIC_CLASS CSGObject * __new_CAvgDiagKernelNormalizer(EPrimitiveType g)
Definition: class_list.cpp:556
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:772
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:656
static SHOGUN_BASIC_CLASS CSGObject * __new_CDimensionReductionPreprocessor(EPrimitiveType g)
Definition: class_list.cpp:595
static SHOGUN_BASIC_CLASS CSGObject * __new_CCrossValidationResult(EPrimitiveType g)
Definition: class_list.cpp:568
#define STRING_LEN
Definition: common.h:53
static SHOGUN_BASIC_CLASS CSGObject * __new_CSOSVMHelper(EPrimitiveType g)
Definition: class_list.cpp:910
static class_list_entry_t class_list[]
static SHOGUN_BASIC_CLASS CSGObject * __new_CModelSelectionParameters(EPrimitiveType g)
Definition: class_list.cpp:681
static SHOGUN_BASIC_CLASS CSGObject * __new_CDomainAdaptationMulticlassLibLinear(EPrimitiveType g)
Definition: class_list.cpp:734
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:862
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:851
static SHOGUN_BASIC_CLASS CSGObject * __new_CManhattanMetric(EPrimitiveType g)
Definition: class_list.cpp:705
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:749
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:870
static SHOGUN_BASIC_CLASS CSGObject * __new_CLinearRidgeRegression(EPrimitiveType g)
Definition: class_list.cpp:731
static SHOGUN_BASIC_CLASS CSGObject * __new_CCSVFile(EPrimitiveType g)
Definition: class_list.cpp:763
static SHOGUN_BASIC_CLASS CSGObject * __new_CDistanceMachine(EPrimitiveType g)
Definition: class_list.cpp:832
static SHOGUN_BASIC_CLASS CSGObject * __new_CSequence(EPrimitiveType g)
Definition: class_list.cpp:912
static SHOGUN_BASIC_CLASS CSGObject * __new_CLogLoss(EPrimitiveType g)
Definition: class_list.cpp:802
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:867
static SHOGUN_BASIC_CLASS CSGObject * __new_CJade(EPrimitiveType g)
Definition: class_list.cpp:613
static SHOGUN_BASIC_CLASS CSGObject * __new_CDiceKernelNormalizer(EPrimitiveType g)
Definition: class_list.cpp:558
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:610
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:649
static SHOGUN_BASIC_CLASS CSGObject * __new_CMulticlassLibSVM(EPrimitiveType g)
Definition: class_list.cpp:636
static SHOGUN_BASIC_CLASS CSGObject * __new_CDelimiterTokenizer(EPrimitiveType g)
Definition: class_list.cpp:481
static SHOGUN_BASIC_CLASS CSGObject * __new_CQPBSVMLib(EPrimitiveType g)
Definition: class_list.cpp:786
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:532
UI math.
Definition: GUIMath.h:22
static SHOGUN_BASIC_CLASS CSGObject * __new_CFixedDegreeStringKernel(EPrimitiveType g)
Definition: class_list.cpp:529
static SHOGUN_BASIC_CLASS CSGObject * __new_CSpectrumMismatchRBFKernel(EPrimitiveType g)
Definition: class_list.cpp:528
static SHOGUN_BASIC_CLASS CSGObject * __new_CDynProg(EPrimitiveType g)
Definition: class_list.cpp:905
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:520
static SHOGUN_BASIC_CLASS CSGObject * __new_CLinearMachine(EPrimitiveType g)
Definition: class_list.cpp:843
static SHOGUN_BASIC_CLASS CSGObject * __new_CGaussianShortRealKernel(EPrimitiveType g)
Definition: class_list.cpp:496
static SHOGUN_BASIC_CLASS CSGObject * __new_CSplineKernel(EPrimitiveType g)
Definition: class_list.cpp:507
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:895
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:517
static SHOGUN_BASIC_CLASS CSGObject * __new_CKernelRidgeRegression(EPrimitiveType g)
Definition: class_list.cpp:726
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:707
static SHOGUN_BASIC_CLASS CSGObject * __new_CRidgeKernelNormalizer(EPrimitiveType g)
Definition: class_list.cpp:553
static SHOGUN_BASIC_CLASS CSGObject * __new_CWeightedCommWordStringKernel(EPrimitiveType g)
Definition: class_list.cpp:543
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:866
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:650
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:651
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:609
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:495
Class CDisjointSet data structure for linking graph nodes It&#39;s easy to identify connected graph...
Definition: DisjointSet.h:24
The class MatchWordStringKernel computes a variant of the polynomial kernel on strings of same length...
static SHOGUN_BASIC_CLASS CSGObject * __new_CMulticlassTreeGuidedLogisticRegression(EPrimitiveType g)
Definition: class_list.cpp:662
static SHOGUN_BASIC_CLASS CSGObject * __new_CGNPPSVM(EPrimitiveType g)
Definition: class_list.cpp:789
static SHOGUN_BASIC_CLASS CSGObject * __new_CDomainAdaptationSVMLinear(EPrimitiveType g)
Definition: class_list.cpp:733
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:682
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:868
static SHOGUN_BASIC_CLASS CSGObject * __new_CNewtonSVM(EPrimitiveType g)
Definition: class_list.cpp:798
Class NearestCentroid, an implementation of Nearest Shrunk Centroid classifier.
class BALMeasure used to measure balanced error of 2-class classifier.
static SHOGUN_BASIC_CLASS CSGObject * __new_CIndividualJobResultAggregator(EPrimitiveType g)
Definition: class_list.cpp:826
A Binary file access class.
Definition: BinaryFile.h:28
static SHOGUN_BASIC_CLASS CSGObject * __new_CIOBuffer(EPrimitiveType g)
Definition: class_list.cpp:760
SimpleLocalityImprovedString kernel, is a ``simplified&#39;&#39; and better performing version of the Localit...
class GPBTSVM
Definition: GPBTSVM.h:22
static SHOGUN_BASIC_CLASS CSGObject * __new_CSalzbergWordStringKernel(EPrimitiveType g)
Definition: class_list.cpp:537
static SHOGUN_BASIC_CLASS CSGObject * __new_CMeanSquaredLogError(EPrimitiveType g)
Definition: class_list.cpp:562
static SHOGUN_BASIC_CLASS CSGObject * __new_CLibSVMFile(EPrimitiveType g)
Definition: class_list.cpp:759
static SHOGUN_BASIC_CLASS CSGObject * __new_CStratifiedCrossValidationSplitting(EPrimitiveType g)
Definition: class_list.cpp:591
static SHOGUN_BASIC_CLASS CSGObject * __new_CMeanRule(EPrimitiveType g)
Definition: class_list.cpp:856
static SHOGUN_BASIC_CLASS CSGObject * __new_CSparseInverseCovariance(EPrimitiveType g)
Definition: class_list.cpp:815
static SHOGUN_BASIC_CLASS CSGObject * __new_CSparseEuclideanDistance(EPrimitiveType g)
Definition: class_list.cpp:722
static SHOGUN_BASIC_CLASS CSGObject * __new_CProductKernel(EPrimitiveType g)
Definition: class_list.cpp:509
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:536
static SHOGUN_BASIC_CLASS CSGObject * __new_CVwEnvironment(EPrimitiveType g)
Definition: class_list.cpp:781
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:689
static SHOGUN_BASIC_CLASS CSGObject * __new_CStructuredOutputMachine(EPrimitiveType g)
Definition: class_list.cpp:833
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:519
static SHOGUN_BASIC_CLASS CSGObject * __new_CVwAdaptiveLearner(EPrimitiveType g)
Definition: class_list.cpp:777
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:710
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:654
static SHOGUN_BASIC_CLASS CSGObject * __new_CROCEvaluation(EPrimitiveType g)
Definition: class_list.cpp:575
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:741
static SHOGUN_BASIC_CLASS CSGObject * __new_CIdentityKernelNormalizer(EPrimitiveType g)
Definition: class_list.cpp:551
static SHOGUN_BASIC_CLASS CSGObject * __new_CQuadraticTimeMMD(EPrimitiveType g)
Definition: class_list.cpp:666
static SHOGUN_BASIC_CLASS CSGObject * __new_CGradientResult(EPrimitiveType g)
Definition: class_list.cpp:564
static SHOGUN_BASIC_CLASS CSGObject * __new_CConjugateGradientSolver(EPrimitiveType g)
Definition: class_list.cpp:818
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:578
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:853
static SHOGUN_BASIC_CLASS CSGObject * __new_CCustomMahalanobisDistance(EPrimitiveType g)
Definition: class_list.cpp:723
class MultitaskLinearMachine, a base class for linear multitask classifiers
static SHOGUN_BASIC_CLASS CSGObject * __new_CAveragedPerceptron(EPrimitiveType g)
Definition: class_list.cpp:768
Class MeanSquaredError used to compute an error of regression model.
static SHOGUN_TEMPLATE_CLASS CSGObject * __new_CParseBuffer(EPrimitiveType g)
static SHOGUN_BASIC_CLASS CSGObject * __new_CStatistics(EPrimitiveType g)
Definition: class_list.cpp:808
Class that models a Student&#39;s-t likelihood.
: Pseudo random number geneartor
Definition: Random.h:32
static SHOGUN_BASIC_CLASS CSGObject * __new_CFFSep(EPrimitiveType g)
Definition: class_list.cpp:615
static SHOGUN_BASIC_CLASS CSGObject * __new_CGNPPLib(EPrimitiveType g)
Definition: class_list.cpp:787
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:864
static SHOGUN_BASIC_CLASS CSGObject * __new_CMeanSquaredError(EPrimitiveType g)
Definition: class_list.cpp:592
UI converter.
Definition: GUIConverter.h:24
static SHOGUN_BASIC_CLASS CSGObject * __new_CSortWordString(EPrimitiveType g)
Definition: class_list.cpp:599
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:521
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:899
static SHOGUN_BASIC_CLASS CSGObject * __new_CRandomConditionalProbabilityTree(EPrimitiveType g)
Definition: class_list.cpp:643
static SHOGUN_BASIC_CLASS CSGObject * __new_CIntronList(EPrimitiveType g)
Definition: class_list.cpp:902
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:863
static SHOGUN_BASIC_CLASS CSGObject * __new_CHessianLocallyLinearEmbedding(EPrimitiveType g)
Definition: class_list.cpp:622
static SHOGUN_BASIC_CLASS CSGObject * __new_CMKLRegression(EPrimitiveType g)
Definition: class_list.cpp:728
static SHOGUN_BASIC_CLASS CSGObject * __new_CLBPPyrDotFeatures(EPrimitiveType g)
Definition: class_list.cpp:881
static SHOGUN_BASIC_CLASS CSGObject * __new_CLogitLikelihood(EPrimitiveType g)
Definition: class_list.cpp:845
The class DummyFeatures implements features that only know the number of feature objects (but don&#39;t a...
Definition: DummyFeatures.h:23
Features that compute the Weighted Degreee Kernel feature space explicitly.
Definition: SNPFeatures.h:27
Class Perceptron implements the standard linear (online) perceptron.
Definition: Perceptron.h:30
static SHOGUN_BASIC_CLASS CSGObject * __new_CKernelLocallyLinearEmbedding(EPrimitiveType g)
Definition: class_list.cpp:608
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:479
static SHOGUN_BASIC_CLASS CSGObject * __new_CPolyFeatures(EPrimitiveType g)
Definition: class_list.cpp:879
static SHOGUN_BASIC_CLASS CSGObject * __new_CJobResult(EPrimitiveType g)
Definition: class_list.cpp:487
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:865
static SHOGUN_BASIC_CLASS CSGObject * __new_CGUIHMM(EPrimitiveType g)
Definition: class_list.cpp:692
static SHOGUN_BASIC_CLASS CSGObject * __new_CHierarchical(EPrimitiveType g)
Definition: class_list.cpp:890
static SHOGUN_BASIC_CLASS CSGObject * __new_CGUITime(EPrimitiveType g)
Definition: class_list.cpp:696
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:659
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:754
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:522
static SHOGUN_BASIC_CLASS CSGObject * __new_CVwRegressor(EPrimitiveType g)
Definition: class_list.cpp:774
static SHOGUN_BASIC_CLASS CSGObject * __new_CTStudentKernel(EPrimitiveType g)
Definition: class_list.cpp:559
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:607
Class of the Expectation Propagation (EP) posterior approximation inference method.
The class CDelimiterTokenizer is used to tokenize a SGVector&lt;char&gt; into tokens using custom chars as de...
read sparse real valued features in svm light format e.g. -1 1:10.0 2:100.2 1000:1.3 with -1 == (optional) label and dim 1 - value 10.0 dim 2 - value 100.2 dim 1000 - value 1.3
Definition: LibSVMFile.h:30
multiclass OCAS wrapper
static SHOGUN_BASIC_CLASS CSGObject * __new_CSGDQN(EPrimitiveType g)
Definition: class_list.cpp:791
static SHOGUN_BASIC_CLASS CSGObject * __new_CPlif(EPrimitiveType g)
Definition: class_list.cpp:911
static SHOGUN_BASIC_CLASS CSGObject * __new_CHistogramWordStringKernel(EPrimitiveType g)
Definition: class_list.cpp:545
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:875
Container class that returns results from GradientEvaluation. It contains the function value as well ...
Class CFactorGraph a factor graph is a structured input in general.
Definition: FactorGraph.h:25
static SHOGUN_BASIC_CLASS CSGObject * __new_CTableFactorType(EPrimitiveType g)
Definition: class_list.cpp:894
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:538
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:633
static SHOGUN_BASIC_CLASS CSGObject * __new_CHMM(EPrimitiveType g)
Definition: class_list.cpp:703
static SHOGUN_BASIC_CLASS CSGObject * __new_CMMDKernelSelectionOpt(EPrimitiveType g)
Definition: class_list.cpp:669
static SHOGUN_BASIC_CLASS CSGObject * __new_CLabelsFactory(EPrimitiveType g)
Definition: class_list.cpp:672
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:554
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:474
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:701
#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:858
static SHOGUN_BASIC_CLASS CSGObject * __new_CSVM(EPrimitiveType g)
Definition: class_list.cpp:796
class OnlineSVMSGD
Definition: OnlineSVMSGD.h:33
static SHOGUN_BASIC_CLASS CSGObject * __new_CGaussianLikelihood(EPrimitiveType g)
Definition: class_list.cpp:844
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:739
static SHOGUN_BASIC_CLASS CSGObject * __new_CCombinedFeatures(EPrimitiveType g)
Definition: class_list.cpp:859
The Fully Independent Conditional Training inference method class.
static SHOGUN_BASIC_CLASS CSGObject * __new_CPNorm(EPrimitiveType g)
Definition: class_list.cpp:601
static SHOGUN_BASIC_CLASS CSGObject * __new_CStreamingVwCacheFile(EPrimitiveType g)
Definition: class_list.cpp:753
static SHOGUN_BASIC_CLASS CSGObject * __new_CCrossValidationMulticlassStorage(EPrimitiveType g)
Definition: class_list.cpp:570
class CStructuredAccuracy used to compute accuracy of structured classification
static SHOGUN_BASIC_CLASS CSGObject * __new_CJensenMetric(EPrimitiveType g)
Definition: class_list.cpp:716
static SHOGUN_BASIC_CLASS CSGObject * __new_CSigmoidKernel(EPrimitiveType g)
Definition: class_list.cpp:493
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:769
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:714
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 CTableFactorType the way that store assignments of variables and energies in a table or a multi...
Definition: FactorType.h:120
class PluginEstimate
static SHOGUN_BASIC_CLASS CSGObject * __new_CListElement(EPrimitiveType g)
Definition: class_list.cpp:476
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:611
static SHOGUN_BASIC_CLASS CSGObject * __new_CRationalApproximationIndividualJob(EPrimitiveType g)
Definition: class_list.cpp:824
Class Signal implements signal handling to e.g. allow ctrl+c to cancel a long running process...
Definition: Signal.h:47
static SHOGUN_TEMPLATE_CLASS CSGObject * __new_CStreamingFileFromSparseFeatures(EPrimitiveType g)
static SHOGUN_BASIC_CLASS CSGObject * __new_CMultitaskTraceLogisticRegression(EPrimitiveType g)
Definition: class_list.cpp:737
static SHOGUN_TEMPLATE_CLASS CSGObject * __new_CStringFileFeatures(EPrimitiveType g)
static SHOGUN_BASIC_CLASS CSGObject * __new_CSpecificityMeasure(EPrimitiveType g)
Definition: class_list.cpp:589
static SHOGUN_BASIC_CLASS CSGObject * __new_CBalancedConditionalProbabilityTree(EPrimitiveType g)
Definition: class_list.cpp:645
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:896
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:605
static SHOGUN_BASIC_CLASS CSGObject * __new_CLibSVM(EPrimitiveType g)
Definition: class_list.cpp:788
A generic Support Vector Machine Interface.
Definition: SVM.h:47
static SHOGUN_BASIC_CLASS CSGObject * __new_CLanczosEigenSolver(EPrimitiveType g)
Definition: class_list.cpp:821
UI features.
Definition: GUIFeatures.h:36
static SHOGUN_BASIC_CLASS CSGObject * __new_CKernelMulticlassMachine(EPrimitiveType g)
Definition: class_list.cpp:834
Class which collects generic mathematical functions.
Definition: Math.h:138
static SHOGUN_BASIC_CLASS CSGObject * __new_CMAPInference(EPrimitiveType g)
Definition: class_list.cpp:904
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:740
static SHOGUN_BASIC_CLASS CSGObject * __new_CStreamingVwFile(EPrimitiveType g)
Definition: class_list.cpp:756
static SHOGUN_BASIC_CLASS CSGObject * __new_CPrecisionMeasure(EPrimitiveType g)
Definition: class_list.cpp:588
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:907
static SHOGUN_BASIC_CLASS CSGObject * __new_CPerceptron(EPrimitiveType g)
Definition: class_list.cpp:767
static SHOGUN_BASIC_CLASS CSGObject * __new_CMKLClassification(EPrimitiveType g)
Definition: class_list.cpp:771
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:606
: Bagging algorithm i.e. bootstrap aggregating
static SHOGUN_BASIC_CLASS CSGObject * __new_CList(EPrimitiveType g)
Definition: class_list.cpp:477
static SHOGUN_BASIC_CLASS CSGObject * __new_CLinearLocalTangentSpaceAlignment(EPrimitiveType g)
Definition: class_list.cpp:621
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:882
static SHOGUN_BASIC_CLASS CSGObject * __new_CECOCDiscriminantEncoder(EPrimitiveType g)
Definition: class_list.cpp:655
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:732
used to estimate inverse covariance matrix using graphical lasso
static SHOGUN_BASIC_CLASS CSGObject * __new_CMulticlassModel(EPrimitiveType g)
Definition: class_list.cpp:906
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:525
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:668
static SHOGUN_BASIC_CLASS CSGObject * __new_CMKLOneClass(EPrimitiveType g)
Definition: class_list.cpp:773
implement DotFeatures for the polynomial kernel
static SHOGUN_BASIC_CLASS CSGObject * __new_CMulticlassAccuracy(EPrimitiveType g)
Definition: class_list.cpp:572
class CanberraMetric
static SHOGUN_BASIC_CLASS CSGObject * __new_CAccuracyMeasure(EPrimitiveType g)
Definition: class_list.cpp:581
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:640
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:567
static SHOGUN_BASIC_CLASS CSGObject * __new_CGUIClassifier(EPrimitiveType g)
Definition: class_list.cpp:695
static SHOGUN_BASIC_CLASS CSGObject * __new_CClusteringAccuracy(EPrimitiveType g)
Definition: class_list.cpp:579
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:913
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:825
static SHOGUN_BASIC_CLASS CSGObject * __new_CLatentSOSVM(EPrimitiveType g)
Definition: class_list.cpp:887
#define SHOGUN_TEMPLATE_CLASS
Definition: class_list.cpp:471
static SHOGUN_BASIC_CLASS CSGObject * __new_CVwNativeCacheReader(EPrimitiveType g)
Definition: class_list.cpp:779
This class can be used to provide on-the-fly vectorization of a document collection. Like in the standard Bag-of-Words representation, this class considers each document as a collection of tokens, which are then hashed into a new feature space of a specified dimension. This class is very flexible and allows the user to specify the tokenizer used to tokenize each document, specify whether the results should be normalized with regards to the sqrt of the document size, as well as to specify whether he wants to combine different tokens. The latter implements a k-skip n-grams approach, meaning that you can combine up to n tokens, while skipping up to k. Eg. for the tokens [&quot;a&quot;, &quot;b&quot;, &quot;c&quot;, &quot;d&quot;], with n_grams = 2 and skips = 2, one would get the following combinations : [&quot;a&quot;, &quot;ab&quot;, &quot;ac&quot; (skipped 1), &quot;ad&quot; (skipped 2), &quot;b&quot;, &quot;bc&quot;, &quot;bd&quot; (skipped 1), &quot;c&quot;, &quot;cd&quot;, &quot;d&quot;].
static SHOGUN_TEMPLATE_CLASS CSGObject * __new_CDecompressString(EPrimitiveType g)
Definition: class_list.cpp:984
static SHOGUN_BASIC_CLASS CSGObject * __new_CHash(EPrimitiveType g)
Definition: class_list.cpp:484
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:653
static SHOGUN_BASIC_CLASS CSGObject * __new_CPowerKernel(EPrimitiveType g)
Definition: class_list.cpp:512
static SHOGUN_BASIC_CLASS CSGObject * __new_CVowpalWabbit(EPrimitiveType g)
Definition: class_list.cpp:780
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:504
static SHOGUN_BASIC_CLASS CSGObject * __new_CIndexBlockTree(EPrimitiveType g)
Definition: class_list.cpp:486
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:820
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:729
static SHOGUN_BASIC_CLASS CSGObject * __new_CTron(EPrimitiveType g)
Definition: class_list.cpp:593
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:805
Hidden Markov Model.
Definition: HMM.h:371
LibLinear for regression.
static SHOGUN_BASIC_CLASS CSGObject * __new_CMulticlassOneVsOneStrategy(EPrimitiveType g)
Definition: class_list.cpp:630
static SHOGUN_BASIC_CLASS CSGObject * __new_CManhattanWordDistance(EPrimitiveType g)
Definition: class_list.cpp:721
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:713
static SHOGUN_BASIC_CLASS CSGObject * __new_CMultitaskKernelNormalizer(EPrimitiveType g)
Definition: class_list.cpp:747
Base class of the components of StructuredLabels.
class EuclideanDistance
static SHOGUN_BASIC_CLASS CSGObject * __new_CGMNPLib(EPrimitiveType g)
Definition: class_list.cpp:661
static SHOGUN_BASIC_CLASS CSGObject * __new_CHammingWordDistance(EPrimitiveType g)
Definition: class_list.cpp:708
CLogLoss implements the logarithmic loss function.
Definition: LogLoss.h:22
VarianceKernelNormalizer divides by the ``variance&#39;&#39;.
static SHOGUN_BASIC_CLASS CSGObject * __new_CPlifMatrix(EPrimitiveType g)
Definition: class_list.cpp:900
Collection of Hashing Functions.
Definition: Hash.h:47
static SHOGUN_BASIC_CLASS CSGObject * __new_CSVMOcas(EPrimitiveType g)
Definition: class_list.cpp:799
static SHOGUN_BASIC_CLASS CSGObject * __new_CMath(EPrimitiveType g)
Definition: class_list.cpp:806
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:667
The class FKFeatures implements Fischer kernel features obtained from two Hidden Markov models...
Definition: FKFeatures.h:41
static SHOGUN_BASIC_CLASS CSGObject * __new_CFactorAnalysis(EPrimitiveType g)
Definition: class_list.cpp:626
static SHOGUN_BASIC_CLASS CSGObject * __new_CMultitaskL12LogisticRegression(EPrimitiveType g)
Definition: class_list.cpp:743
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:715
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:855
static SHOGUN_BASIC_CLASS CSGObject * __new_CLatentLabels(EPrimitiveType g)
Definition: class_list.cpp:676
The zero mean function class.
Definition: ZeroMean.h:23
Class CVwNativeCacheWriter writes a cache exactly as that which would be produced by VW&#39;s default cac...
static SHOGUN_BASIC_CLASS CSGObject * __new_CBaggingMachine(EPrimitiveType g)
Definition: class_list.cpp:841
static SHOGUN_BASIC_CLASS CSGObject * __new_CLogPlusOne(EPrimitiveType g)
Definition: class_list.cpp:604
static SHOGUN_BASIC_CLASS CSGObject * __new_COnlineLinearMachine(EPrimitiveType g)
Definition: class_list.cpp:840
static SHOGUN_BASIC_CLASS CSGObject * __new_CIntegration(EPrimitiveType g)
Definition: class_list.cpp:816
static SHOGUN_BASIC_CLASS CSGObject * __new_CMulticlassSOLabels(EPrimitiveType g)
Definition: class_list.cpp:908
static SHOGUN_BASIC_CLASS CSGObject * __new_CLibSVMOneClass(EPrimitiveType g)
Definition: class_list.cpp:783
static SHOGUN_BASIC_CLASS CSGObject * __new_CLogRationalApproximationIndividual(EPrimitiveType g)
Definition: class_list.cpp:827
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:873
static SHOGUN_BASIC_CLASS CSGObject * __new_CDataGenerator(EPrimitiveType g)
Definition: class_list.cpp:871
class SOBI
Definition: SOBI.h:37
static SHOGUN_BASIC_CLASS CSGObject * __new_CGaussianARDKernel(EPrimitiveType g)
Definition: class_list.cpp:511
Kernel Mean Matching.

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