| /dports/graphics/vigra/vigra-8acd73a/vigranumpy/src/core/ |
| H A D | random_forest.cxx | 65 RandomForest<LabelType>*
96 ProblemSpec<LabelType> ext_param; in pythonConstructRandomForest()
103 RandomForest<LabelType>* rf = new RandomForest<LabelType>(options, ext_param); in pythonConstructRandomForest()
109 template<class LabelType>
110 RandomForest<LabelType> *
114 VIGRA_UNIQUE_PTR<RandomForest<LabelType> > rf(new RandomForest<LabelType>); in pythonImportRandomForestFromHDF5()
122 template<class LabelType>
123 RandomForest<LabelType> *
127 VIGRA_UNIQUE_PTR<RandomForest<LabelType> > rf(new RandomForest<LabelType>); in pythonImportRandomForestFromHDF5id()
254 LabelType nan_label(nanLabel()); in pythonRFPredictLabels()
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| H A D | random_forest_old.cxx | 53 template<class LabelType,class FeatureType>
54 RandomForest<LabelType>*
56 NumpyArray<1, LabelType> trainLabels, in pythonConstructRandomForest()
76 std::set<LabelType> uniqueLabels(trainLabels.data(), trainLabels.data()+trainLabels.size()); in pythonConstructRandomForest()
78 RandomForest<LabelType>* rf = in pythonConstructRandomForest()
79 new RandomForest<LabelType>(uniqueLabels.begin(), uniqueLabels.end(), in pythonConstructRandomForest()
92 template<class LabelType,class FeatureType>
94 pythonRFPredictLabels(RandomForest<LabelType> const & rf, in pythonRFPredictLabels()
96 NumpyArray<2,LabelType> res) in pythonRFPredictLabels()
108 template<class LabelType, class FeatureType>
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| /dports/graphics/pcl-pointclouds/pcl-pcl-1.12.0/ml/include/pcl/ml/impl/dt/ |
| H A D | decision_tree_evaluator.hpp | 51 class LabelType,
60 class LabelType,
69 class LabelType,
76 pcl::StatsEstimator<LabelType, NodeType, DataSet, ExampleIndex>& in evaluate() argument
80 std::vector<LabelType>& label_data) in evaluate()
106 class LabelType,
114 pcl::StatsEstimator<LabelType, NodeType, DataSet, ExampleIndex>& in evaluateAndAdd() argument
118 std::vector<LabelType>& label_data) in evaluateAndAdd()
143 class LabelType,
150 pcl::StatsEstimator<LabelType, NodeType, DataSet, ExampleIndex>& in evaluate() argument
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| H A D | decision_forest_evaluator.hpp | 50 class LabelType,
53 pcl::DecisionForestEvaluator<FeatureType, DataSet, LabelType, ExampleIndex, NodeType>::
60 class LabelType,
63 pcl::DecisionForestEvaluator<FeatureType, DataSet, LabelType, ExampleIndex, NodeType>::
69 class LabelType,
73 pcl::DecisionForestEvaluator<FeatureType, DataSet, LabelType, ExampleIndex, NodeType>::
76 pcl::StatsEstimator<LabelType, NodeType, DataSet, ExampleIndex>& in evaluate() argument
80 std::vector<LabelType>& label_data) in evaluate()
102 class LabelType,
106 pcl::DecisionForestEvaluator<FeatureType, DataSet, LabelType, ExampleIndex, NodeType>::
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| H A D | decision_forest_trainer.hpp | 44 class LabelType,
47 DecisionForestTrainer<FeatureType, DataSet, LabelType, ExampleIndex, NodeType>::
54 class LabelType,
57 DecisionForestTrainer<FeatureType, DataSet, LabelType, ExampleIndex, NodeType>::
63 class LabelType,
67 DecisionForestTrainer<FeatureType, DataSet, LabelType, ExampleIndex, NodeType>::train( in train()
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| H A D | decision_tree_trainer.hpp | 44 class LabelType,
47 DecisionTreeTrainer<FeatureType, DataSet, LabelType, ExampleIndex, NodeType>::
63 class LabelType,
66 DecisionTreeTrainer<FeatureType, DataSet, LabelType, ExampleIndex, NodeType>::
72 class LabelType,
108 class LabelType,
112 DecisionTreeTrainer<FeatureType, DataSet, LabelType, ExampleIndex, NodeType>::
115 std::vector<LabelType>& label_data, in trainDecisionTreeNode()
249 std::vector<LabelType> branch_labels; in trainDecisionTreeNode()
273 class LabelType,
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| /dports/science/InsightToolkit/ITK-5.0.1/Modules/Filtering/LabelMap/include/ |
| H A D | itkLabelMap.h | 102 using LabelType = typename LabelObjectType::LabelType; variable
103 using PixelType = LabelType;
106 using LabelVectorType = std::vector< LabelType >;
158 bool HasLabel(const LabelType label) const;
240 void RemoveLabel(const LabelType & label);
265 itkGetConstMacro(BackgroundValue, LabelType);
266 itkSetMacro(BackgroundValue, LabelType);
321 const LabelType & GetLabel() const in GetLabel()
403 const LabelType & GetLabel() const in GetLabel()
464 LabelType m_BackgroundValue;
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| H A D | itkLabelMap.hxx | 43 m_BackgroundValue = NumericTraits< LabelType >::ZeroValue(); in LabelMap()
128 ::GetLabelObject(const LabelType & label) in GetLabelObject()
151 ::GetLabelObject(const LabelType & label) const in GetLabelObject()
174 ::HasLabel(const LabelType label) const in HasLabel()
181 const typename LabelMap< TLabelObject >::LabelType &
253 ::SetPixel(const IndexType & idx, const LabelType & iLabel ) in SetPixel()
288 ::AddPixel(const IndexType & idx, const LabelType & label) in AddPixel()
307 const LabelType & label ) in AddPixel()
464 …else if ( lastLabel != NumericTraits< LabelType >::max() && lastLabel + 1 != NumericTraits< LabelT… in PushLabelObject()
476 LabelType label = firstLabel; in PushLabelObject()
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| /dports/math/ogdf/OGDF/src/ogdf/labeling/ |
| H A D | ELabelPosSimple.cpp | 132 if (el.usedLabel(LabelType::End1)) { in call()
134 el.setX(LabelType::End1, np.m_x); in call()
135 el.setY(LabelType::End1, np.m_y); in call()
140 el.setX(LabelType::Mult1, np.m_x); in call()
141 el.setY(LabelType::Mult1, np.m_y); in call()
146 el.setX(LabelType::Name, np.m_x); in call()
147 el.setY(LabelType::Name, np.m_y); in call()
152 el.setX(LabelType::End2, np.m_x); in call()
153 el.setY(LabelType::End2, np.m_y); in call()
158 el.setX(LabelType::Mult2, np.m_x); in call()
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| /dports/math/ogdf/OGDF/include/ogdf/labeling/ |
| H A D | ELabelInterface.h | 46 enum class LabelType { enum
56 End1 = (1 << static_cast<int>(LabelType::End1)), // 1
57 Mult1 = (1 << static_cast<int>(LabelType::Mult1)), // 2
58 Name = (1 << static_cast<int>(LabelType::Name)), // 4
59 End2 = (1 << static_cast<int>(LabelType::End2)), // 8
60 Mult2 = (1 << static_cast<int>(LabelType::Mult2)), // 16
61 lAll = (1 << static_cast<int>(LabelType::NumLabels)) -1, // 31
168 void setX(LabelType elt, coordType x) { m_xPos[static_cast<int>(elt)] = x; } in setX()
182 bool usedLabel(LabelType elt) const { in usedLabel()
259 coordType getWidth(edge e, LabelType elt) { in getWidth()
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| /dports/science/InsightToolkit/ITK-5.0.1/Modules/Segmentation/ConnectedComponents/include/ |
| H A D | itkHardConnectedComponentImageFilter.hxx | 39 using LabelType = unsigned short; in GenerateData() typedef
41 auto * equivalenceTable = new LabelType[NumericTraits < LabelType > ::max()]; in GenerateData()
42 LabelType label = 0; in GenerateData()
43 LabelType maxLabel = 0; in GenerateData()
95 label = static_cast< LabelType >( output->GetPixel(currentIndex) ); in GenerateData()
104 && ( equivalenceTable[static_cast< LabelType >( ot.Get() )] in GenerateData()
109 q = equivalenceTable[static_cast< LabelType >( ot.Get() )]; in GenerateData()
137 if ( maxLabel == NumericTraits< LabelType >::max() ) in GenerateData()
167 auto * flags = new unsigned char[NumericTraits < LabelType > ::max()]; in GenerateData()
187 ot.Set(equivalenceTable[static_cast< LabelType >( ot.Get() )]); in GenerateData()
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| H A D | itkRelabelComponentImageFilter.h | 135 using LabelType = IdentifierType; variable
142 itkGetConstMacro(NumberOfObjects, LabelType);
152 itkGetConstMacro(OriginalNumberOfObjects, LabelType);
156 itkSetMacro(NumberOfObjectsToPrint, LabelType);
157 itkGetConstReferenceMacro(NumberOfObjectsToPrint, LabelType);
207 ObjectSizeType GetSizeOfObjectInPixels(LabelType obj) const in GetSizeOfObjectInPixels()
222 float GetSizeOfObjectInPhysicalUnits(LabelType obj) const in GetSizeOfObjectInPhysicalUnits()
270 LabelType m_ObjectNumber;
305 LabelType m_NumberOfObjects{0};
306 LabelType m_NumberOfObjectsToPrint{10};
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| H A D | itkRelabelComponentImageFilter.hxx | 54 using MapType = std::map< LabelType, RelabelComponentObjectType >; in GenerateData()
93 const auto inputValue = static_cast< LabelType >( it.Get() ); in GenerateData()
96 if ( inputValue != NumericTraits< LabelType >::ZeroValue() ) in GenerateData()
127 using RelabelMapType = std::map< LabelType, LabelType >; in GenerateData()
148 m_NumberOfObjects = static_cast<LabelType>( sizeVector.size() ); in GenerateData()
149 m_OriginalNumberOfObjects = static_cast<LabelType>( sizeVector.size() ); in GenerateData()
206 const auto inputValue = static_cast< LabelType >( it.Get() ); in GenerateData()
208 if ( inputValue != NumericTraits< LabelType >::ZeroValue() ) in GenerateData()
242 LabelType i; in PrintSelf()
245 LabelType numPrint = m_NumberOfObjectsToPrint; in PrintSelf()
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| /dports/science/InsightToolkit/ITK-5.0.1/Modules/Filtering/ImageStatistics/include/ |
| H A D | itkLabelOverlapMeasuresImageFilter.h | 72 using LabelType = typename TLabelImage::PixelType; variable
75 using RealType = typename NumericTraits<LabelType>::RealType;
152 RealType GetTargetOverlap( LabelType ) const;
161 RealType GetUnionOverlap( LabelType ) const;
162 RealType GetJaccardCoefficient( LabelType label ) const in GetJaccardCoefficient()
172 RealType GetMeanOverlap( LabelType ) const;
173 RealType GetDiceCoefficient( LabelType label ) const in GetDiceCoefficient()
180 RealType GetVolumeSimilarity( LabelType ) const;
188 RealType GetFalseNegativeError( LabelType ) const;
194 RealType GetFalsePositiveError( LabelType ) const;
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| /dports/print/lyx/lyx-2.3.4.2/lib/layouts/ |
| H A D | g-brief2.layout | 73 LabelType Above
92 LabelType Static
114 LabelType Static
134 LabelType Static
154 LabelType Static
174 LabelType Static
194 LabelType Static
214 LabelType Static
234 LabelType Static
256 LabelType Static
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| H A D | egs.layout | 28 LabelType No_Label
134 LabelType No_Label
150 LabelType Manual
194 LabelType Itemize
217 LabelType Manual
323 LabelType Static
345 LabelType Static
367 LabelType Static
390 LabelType Static
413 LabelType Static
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| H A D | kluwer.layout | 43 LabelType No_Label
124 LabelType No_Label
143 LabelType No_Label
161 LabelType No_Label
178 LabelType No_Label
194 LabelType No_Label
209 LabelType Static
227 LabelType Static
248 LabelType Static
274 LabelType Static
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| /dports/graphics/pcl-pointclouds/pcl-pcl-1.12.0/ml/include/pcl/ml/impl/ferns/ |
| H A D | fern_evaluator.hpp | 51 class LabelType,
54 FernEvaluator<FeatureType, DataSet, LabelType, ExampleIndex, NodeType>::FernEvaluator() in FernEvaluator()
59 class LabelType,
67 class LabelType,
71 FernEvaluator<FeatureType, DataSet, LabelType, ExampleIndex, NodeType>::evaluate( in evaluate()
74 pcl::StatsEstimator<LabelType, NodeType, DataSet, ExampleIndex>& stats_estimator, in evaluate() argument
77 std::vector<LabelType>& label_data) in evaluate()
121 class LabelType,
131 std::vector<LabelType>& label_data) in evaluateAndAdd()
173 class LabelType,
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| /dports/science/InsightToolkit/ITK-5.0.1/Modules/Segmentation/MarkovRandomFieldsClassifiers/include/ |
| H A D | itkRGBGibbsPriorFilter.hxx | 111 LabelType origin; in GreyScalarBoundary()
112 LabelType neighbors[4]; in GreyScalarBoundary()
232 LabelType label; in GibbsTotalEnergy()
233 LabelType originlabel; in GibbsTotalEnergy()
234 LabelType f[8]; in GibbsTotalEnergy()
343 LabelType f[8]; in GibbsEnergy()
624 LabelType pixLabel; in ApplyGibbsLabeller()
670 LabelType i = NumericTraits< LabelType >::ZeroValue(); in RegionEraser()
671 LabelType k = NumericTraits< LabelType >::ZeroValue(); in RegionEraser()
672 LabelType l = NumericTraits< LabelType >::ZeroValue(); in RegionEraser()
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| /dports/science/afni/afni-AFNI_21.3.16/src/svm/ |
| H A D | 3dsvm_common.h | 74 #define LabelType double macro
147 LabelType* lbls; /* the class labels indicating the stimulus
149 LabelType* cnsrs; /* indicates which labels to ignore
151 LabelType* lbls_cont; /* JL: labels converted to continuous values */
1099 void addToAfniModel( AFNI_MODEL *, MODEL *, LEARN_PARM *, LabelType *,
1104 void getClassTrainArrayAndTarget( DatasetType **, LabelType *,
1105 DatasetType **, LabelType *, long, long );
1108 int getCensoredClassTarget( LabelType *, long *, LABELS *, long,
1110 void getTmpLabels( LabelType *, long *, LABELS *, long, long );
1120 int getAllocateRegressionLabelsAndTarget( LABELS *, LabelType **, char *,
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| /dports/graphics/pcl-pointclouds/pcl-pcl-1.12.0/ml/include/pcl/ml/dt/ |
| H A D | decision_tree_evaluator.h | 52 class LabelType,
78 pcl::StatsEstimator<LabelType, NodeType, DataSet, ExampleIndex>& stats_estimator,
81 std::vector<LabelType>& label_data);
98 pcl::StatsEstimator<LabelType, NodeType, DataSet, ExampleIndex>& stats_estimator,
101 std::vector<LabelType>& label_data);
117 pcl::StatsEstimator<LabelType, NodeType, DataSet, ExampleIndex>& stats_estimator,
136 pcl::StatsEstimator<LabelType, NodeType, DataSet, ExampleIndex>& stats_estimator,
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| H A D | decision_tree_trainer.h | 53 class LabelType,
82 pcl::StatsEstimator<LabelType, NodeType, DataSet, ExampleIndex>& stats_estimator) in setStatsEstimator() argument
143 setLabelData(std::vector<LabelType>& label_data) in setLabelData()
177 LabelType, in setDecisionTreeDataProvider() argument
214 std::vector<LabelType>& label_data,
241 pcl::StatsEstimator<LabelType, NodeType, DataSet, ExampleIndex>* stats_estimator_;
246 std::vector<LabelType> label_data_;
258 LabelType,
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| /dports/science/InsightToolkit/ITK-5.0.1/Modules/Registration/Metricsv4/include/ |
| H A D | itkLabeledPointSetToPointSetMetricv4.h | 85 using LabelType = typename Superclass::PixelType; variable
86 using LabelSetType = std::vector<LabelType>;
101 MeasureType GetLocalNeighborhoodValue( const PointType &, const LabelType & ) const override;
108 MeasureType &, LocalDerivativeType &, const LabelType & ) const override;
120 itkConceptMacro( LabelTypeIsInteger, ( Concept::IsInteger<LabelType> ) );
140 FixedPointSetPointer GetLabeledFixedPointSet( const LabelType ) const;
146 MovingPointSetPointer GetLabeledMovingPointSet( const LabelType ) const;
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| /dports/sysutils/istio/istio-1.6.7/vendor/github.com/antlr/antlr4/tool/src/org/antlr/v4/tool/ |
| H A D | LabelElementPair.java | 23 public LabelType type;
30 if ( labelOp==ANTLRParser.ASSIGN ) type = LabelType.TOKEN_LABEL; in LabelElementPair()
31 else type = LabelType.TOKEN_LIST_LABEL; in LabelElementPair()
34 if ( labelOp==ANTLRParser.ASSIGN ) type = LabelType.RULE_LABEL; in LabelElementPair()
35 else type = LabelType.RULE_LIST_LABEL; in LabelElementPair()
41 if ( labelOp==ANTLRParser.ASSIGN ) type = LabelType.LEXER_STRING_LABEL; in LabelElementPair()
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| /dports/graphics/pcl-pointclouds/pcl-pcl-1.12.0/ml/include/pcl/ml/ferns/ |
| H A D | fern_evaluator.h | 52 class LabelType,
78 pcl::StatsEstimator<LabelType, NodeType, DataSet, ExampleIndex>& stats_estimator,
81 std::vector<LabelType>& label_data);
98 pcl::StatsEstimator<LabelType, NodeType, DataSet, ExampleIndex>& stats_estimator,
101 std::vector<LabelType>& label_data);
117 pcl::StatsEstimator<LabelType, NodeType, DataSet, ExampleIndex>& stats_estimator,
|