File list

• File aggregation_function.hpp
  • AggregationFunction
    • MIN
    • MAX
    • ARITHMETIC_MEAN
• File array.hpp
  • ArrayDecorator
  • Array
    • Array()
• File body.hpp
  • IConditional
    • ~IConditional()
    • covers()
    • covers()
  • IBody
    • EmptyBodyVisitor
    • ConjunctiveBodyVisitor
    • ~IBody()
    • visit()
• File body_conjunctive.hpp
  • ConjunctiveBody
    • numerical_threshold_iterator
    • numerical_threshold_const_iterator
    • ordinal_threshold_iterator
    • ordinal_threshold_const_iterator
    • nominal_threshold_iterator
    • nominal_threshold_const_iterator
    • index_iterator
    • index_const_iterator
    • ConjunctiveBody()
    • getNumNumericalLeq()
    • numerical_leq_thresholds_begin()
    • numerical_leq_thresholds_end()
    • numerical_leq_thresholds_cbegin()
    • numerical_leq_thresholds_cend()
    • numerical_leq_indices_begin()
    • numerical_leq_indices_end()
    • numerical_leq_indices_cbegin()
    • numerical_leq_indices_cend()
    • getNumNumericalGr()
    • numerical_gr_thresholds_begin()
    • numerical_gr_thresholds_end()
    • numerical_gr_thresholds_cbegin()
    • numerical_gr_thresholds_cend()
    • numerical_gr_indices_begin()
    • numerical_gr_indices_end()
    • numerical_gr_indices_cbegin()
    • numerical_gr_indices_cend()
    • getNumOrdinalLeq()
    • ordinal_leq_thresholds_begin()
    • ordinal_leq_thresholds_end()
    • ordinal_leq_thresholds_cbegin()
    • ordinal_leq_thresholds_cend()
    • ordinal_leq_indices_begin()
    • ordinal_leq_indices_end()
    • ordinal_leq_indices_cbegin()
    • ordinal_leq_indices_cend()
    • getNumOrdinalGr()
    • ordinal_gr_thresholds_begin()
    • ordinal_gr_thresholds_end()
    • ordinal_gr_thresholds_cbegin()
    • ordinal_gr_thresholds_cend()
    • ordinal_gr_indices_begin()
    • ordinal_gr_indices_end()
    • ordinal_gr_indices_cbegin()
    • ordinal_gr_indices_cend()
    • getNumNominalEq()
    • nominal_eq_thresholds_begin()
    • nominal_eq_thresholds_end()
    • nominal_eq_thresholds_cbegin()
    • nominal_eq_thresholds_cend()
    • nominal_eq_indices_begin()
    • nominal_eq_indices_end()
    • nominal_eq_indices_cbegin()
    • nominal_eq_indices_cend()
    • getNumNominalNeq()
    • nominal_neq_thresholds_begin()
    • nominal_neq_thresholds_end()
    • nominal_neq_thresholds_cbegin()
    • nominal_neq_thresholds_cend()
    • nominal_neq_indices_begin()
    • nominal_neq_indices_end()
    • nominal_neq_indices_cbegin()
    • nominal_neq_indices_cend()
    • covers()
    • covers()
    • visit()
    • numericalLeqVector_
    • numericalGrVector_
    • ordinalLeqVector_
    • ordinalGrVector_
    • nominalEqVector_
    • nominalNeqVector_
    • ConjunctiveBody::ConditionVector
      • ConditionVector()
      • covers()
      • covers()
      • compare_
    • ConjunctiveBody::CompareNumericalLeq
      • operator()()
    • ConjunctiveBody::CompareNumericalGr
      • operator()()
    • ConjunctiveBody::CompareOrdinalLeq
      • operator()()
    • ConjunctiveBody::CompareOrdinalGr
      • operator()()
    • ConjunctiveBody::CompareNominalEq
      • operator()()
    • ConjunctiveBody::CompareNominalNeq
      • operator()()
• File body_empty.hpp
  • EmptyBody
    • covers()
    • covers()
    • visit()
• File condition.hpp
  • Threshold
  • Comparator
    • NUMERICAL_LEQ
    • NUMERICAL_GR
    • ORDINAL_LEQ
    • ORDINAL_GR
    • NOMINAL_EQ
    • NOMINAL_NEQ
  • Condition
    • Condition()
    • Condition()
    • ~Condition()
    • operator=()
    • featureIndex
    • comparator
    • threshold
    • numCovered
• File condition_list.hpp
  • ConditionList
    • const_iterator
    • ConditionList()
    • ConditionList()
    • cbegin()
    • cend()
    • getNumConditions()
    • addCondition()
    • removeLastCondition()
    • createConjunctiveBody()
    • vector_
    • numConditionsPerComparator_
• File coverage_mask.hpp
  • CoverageMask
    • CoverageMask()
    • CoverageMask()
    • reset()
    • operator[]()
    • indicatorValue
• File default_rule.hpp
  • IDefaultRuleConfig
    • ~IDefaultRuleConfig()
    • isDefaultRuleUsed()
  • DefaultRuleConfig
    • DefaultRuleConfig()
    • isDefaultRuleUsed()
    • useDefaultRule_
• File dll_exports.hpp
  • MLRLCOMMON_API
• File example_weights.hpp
  • IExampleWeights
    • ~IExampleWeights()
    • createInstanceSampling()
    • createInstanceSampling()
• File example_weights_equal.hpp
  • createEqualExampleWeights()
  • IEqualExampleWeights
    • ~IEqualExampleWeights()
• File example_weights_real_valued.hpp
  • createRealValuedExampleWeights()
  • IRealValuedExampleWeights
    • ~IRealValuedExampleWeights()
    • setWeight()
• File feature_binning.hpp
  • IFeatureBinning
    • ~IFeatureBinning()
  • IFeatureBinningFactory
    • ~IFeatureBinningFactory()
    • create()
  • IFeatureBinningConfig
    • ~IFeatureBinningConfig()
    • createFeatureBinningFactory()
• File feature_binning_equal_frequency.hpp
  • IEqualFrequencyFeatureBinningConfig
    • ~IEqualFrequencyFeatureBinningConfig()
    • getBinRatio()
    • setBinRatio()
    • getMinBins()
    • setMinBins()
    • getMaxBins()
    • setMaxBins()
  • EqualFrequencyFeatureBinningConfig
    • EqualFrequencyFeatureBinningConfig()
    • getBinRatio()
    • setBinRatio()
    • getMinBins()
    • setMinBins()
    • getMaxBins()
    • setMaxBins()
    • createFeatureBinningFactory()
    • binRatio_
    • minBins_
    • maxBins_
• File feature_binning_equal_width.hpp
  • IEqualWidthFeatureBinningConfig
    • ~IEqualWidthFeatureBinningConfig()
    • getBinRatio()
    • setBinRatio()
    • getMinBins()
    • setMinBins()
    • getMaxBins()
    • setMaxBins()
  • EqualWidthFeatureBinningConfig
    • EqualWidthFeatureBinningConfig()
    • getBinRatio()
    • setBinRatio()
    • getMinBins()
    • setMinBins()
    • getMaxBins()
    • setMaxBins()
    • createFeatureBinningFactory()
    • binRatio_
    • minBins_
    • maxBins_
• File feature_binning_no.hpp
  • NoFeatureBinningConfig
    • createFeatureBinningFactory()
• File feature_info.hpp
  • IFeatureInfo
    • ~IFeatureInfo()
    • createFeatureType()
• File feature_info_equal.hpp
  • createOrdinalFeatureInfo()
  • createNominalFeatureInfo()
  • createNumericalFeatureInfo()
  • IEqualFeatureInfo
    • ~IEqualFeatureInfo()
• File feature_info_mixed.hpp
  • createMixedFeatureInfo()
  • IMixedFeatureInfo
    • ~IMixedFeatureInfo()
    • setNumerical()
    • setOrdinal()
    • setNominal()
• File feature_matrix.hpp
  • IFeatureMatrix
    • ~IFeatureMatrix()
    • isSparse()
    • getNumExamples()
    • getNumFeatures()
• File feature_matrix_c_contiguous.hpp
  • createCContiguousFeatureMatrix()
  • ICContiguousFeatureMatrix
    • ~ICContiguousFeatureMatrix()
• File feature_matrix_column_wise.hpp
  • IColumnWiseFeatureMatrix
    • ~IColumnWiseFeatureMatrix()
    • createFeatureVector()
• File feature_matrix_csc.hpp
  • createCscFeatureMatrix()
  • ICscFeatureMatrix
    • ~ICscFeatureMatrix()
• File feature_matrix_csr.hpp
  • createCsrFeatureMatrix()
  • ICsrFeatureMatrix
    • ~ICsrFeatureMatrix()
• File feature_matrix_fortran_contiguous.hpp
  • createFortranContiguousFeatureMatrix()
  • IFortranContiguousFeatureMatrix
    • ~IFortranContiguousFeatureMatrix()
• File feature_matrix_row_wise.hpp
  • IRowWiseFeatureMatrix
    • ~IRowWiseFeatureMatrix()
    • createBinaryPredictor()
    • createSparseBinaryPredictor()
    • createScorePredictor()
    • createProbabilityPredictor()
• File feature_sampling.hpp
  • IFeatureSampling
    • ~IFeatureSampling()
    • sample()
    • createBeamSearchFeatureSampling()
  • IFeatureSamplingFactory
    • ~IFeatureSamplingFactory()
    • create()
  • IFeatureSamplingConfig
    • ~IFeatureSamplingConfig()
    • createFeatureSamplingFactory()
    • isSamplingUsed()
• File feature_sampling_no.hpp
  • NoFeatureSamplingConfig
    • createFeatureSamplingFactory()
    • isSamplingUsed()
• File feature_sampling_predefined.hpp
  • PredefinedFeatureSampling
    • PredefinedFeatureSampling()
    • sample()
    • createBeamSearchFeatureSampling()
    • indexVector_
• File feature_sampling_without_replacement.hpp
  • IFeatureSamplingWithoutReplacementConfig
    • ~IFeatureSamplingWithoutReplacementConfig()
    • getSampleSize()
    • setSampleSize()
    • getMinSamples()
    • setMinSamples()
    • getMaxSamples()
    • setMaxSamples()
    • getNumRetained()
    • setNumRetained()
  • FeatureSamplingWithoutReplacementConfig
    • FeatureSamplingWithoutReplacementConfig()
    • getSampleSize()
    • setSampleSize()
    • getMinSamples()
    • setMinSamples()
    • getMaxSamples()
    • setMaxSamples()
    • getNumRetained()
    • setNumRetained()
    • createFeatureSamplingFactory()
    • isSamplingUsed()
    • rngConfig_
    • sampleSize_
    • minSamples_
    • maxSamples_
    • numRetained_
• File feature_space.hpp
  • IFeatureSpace
    • ~IFeatureSpace()
    • createSubspace()
    • createSubspace()
    • createSubspace()
    • createSubspace()
    • getStatisticsProvider()
  • IFeatureSpaceFactory
    • ~IFeatureSpaceFactory()
    • create()
• File feature_space_tabular.hpp
  • TabularFeatureSpaceFactory
    • TabularFeatureSpaceFactory()
    • create()
    • featureBinningFactoryPtr_
    • multiThreadingSettings_
• File feature_subspace.hpp
  • IFeatureSubspace
    • ~IFeatureSubspace()
    • copy()
    • createCallback()
    • filterSubspace()
    • resetSubspace()
    • getNumCovered()
    • getCoverageMask()
    • evaluateOutOfSample()
    • evaluateOutOfSample()
    • recalculatePrediction()
    • recalculatePrediction()
    • applyPrediction()
    • revertPrediction()
    • IFeatureSubspace::ICallback
      • ~ICallback()
      • invoke()
      • IFeatureSubspace::ICallback::Result
        • Result()
        • Result()
        • statistics
        • featureVector
• File feature_type.hpp
  • IFeatureType
    • ~IFeatureType()
    • createFeatureVector()
    • createFeatureVector()
• File feature_type_nominal.hpp
  • NominalFeatureType
    • createFeatureVector()
    • createFeatureVector()
• File feature_type_numerical.hpp
  • NumericalFeatureType
    • createFeatureVector()
    • createFeatureVector()
• File feature_type_ordinal.hpp
  • OrdinalFeatureType
    • createFeatureVector()
    • createFeatureVector()
• File feature_vector.hpp
  • IFeatureVector
    • ~IFeatureVector()
    • createStatisticsSubset()
    • createStatisticsSubset()
    • searchForRefinement()
    • searchForRefinement()
    • updateCoverageMaskAndStatistics()
    • createFilteredFeatureVector()
    • createFilteredFeatureVector()
• File feature_vector_binary.hpp
  • BinaryFeatureVector
• File feature_vector_binned.hpp
  • BinnedFeatureVector
    • threshold_type
    • threshold_const_iterator
    • threshold_iterator
    • BinnedFeatureVector()
    • BinnedFeatureVector()
    • BinnedFeatureVector()
    • ~BinnedFeatureVector()
    • thresholds_cbegin()
    • thresholds_cend()
    • thresholds_begin()
    • thresholds_end()
    • releaseThresholds()
    • thresholds
    • sparseBinIndex
• File feature_vector_equal.hpp
  • EqualFeatureVector
    • createStatisticsSubset()
    • createStatisticsSubset()
    • searchForRefinement()
    • searchForRefinement()
    • updateCoverageMaskAndStatistics()
    • createFilteredFeatureVector()
    • createFilteredFeatureVector()
• File feature_vector_missing.hpp
  • MissingFeatureVector
  • AllocatedMissingFeatureVector
• File feature_vector_nominal.hpp
  • NominalFeatureVector
    • value_type
    • value_const_iterator
    • value_iterator
    • NominalFeatureVector()
    • NominalFeatureVector()
    • NominalFeatureVector()
    • ~NominalFeatureVector()
    • values_cbegin()
    • values_cend()
    • values_begin()
    • values_end()
    • releaseValues()
    • values
    • majorityValue
• File feature_vector_numerical.hpp
  • NumericalFeatureVector
    • NumericalFeatureVector()
    • NumericalFeatureVector()
    • NumericalFeatureVector()
    • ~NumericalFeatureVector()
    • sparseValue
    • sparse
• File feature_vector_ordinal.hpp
  • OrdinalFeatureVector
• File global_pruning.hpp
  • IGlobalPruningConfig
    • ~IGlobalPruningConfig()
    • shouldUseHoldoutSet()
    • shouldRemoveUnusedRules()
• File global_pruning_no.hpp
  • NoGlobalPruningConfig
    • createStoppingCriterionFactory()
    • shouldUseHoldoutSet()
    • shouldRemoveUnusedRules()
• File global_pruning_post.hpp
  • IPostPruningConfig
    • ~IPostPruningConfig()
    • isHoldoutSetUsed()
    • setUseHoldoutSet()
    • isRemoveUnusedRules()
    • setRemoveUnusedRules()
    • getMinRules()
    • setMinRules()
    • getInterval()
    • setInterval()
  • PostPruningConfig
    • PostPruningConfig()
    • isHoldoutSetUsed()
    • setUseHoldoutSet()
    • isRemoveUnusedRules()
    • setRemoveUnusedRules()
    • getMinRules()
    • setMinRules()
    • getInterval()
    • setInterval()
    • createStoppingCriterionFactory()
    • shouldUseHoldoutSet()
    • shouldRemoveUnusedRules()
    • useHoldoutSet_
    • removeUnusedRules_
    • minRules_
    • interval_
• File global_pruning_pre.hpp
  • IPrePruningConfig
    • ~IPrePruningConfig()
    • getAggregationFunction()
    • setAggregationFunction()
    • isHoldoutSetUsed()
    • setUseHoldoutSet()
    • isRemoveUnusedRules()
    • setRemoveUnusedRules()
    • getMinRules()
    • setMinRules()
    • getUpdateInterval()
    • setUpdateInterval()
    • getStopInterval()
    • setStopInterval()
    • getNumPast()
    • setNumPast()
    • getNumCurrent()
    • setNumCurrent()
    • getMinImprovement()
    • setMinImprovement()
  • PrePruningConfig
    • PrePruningConfig()
    • getAggregationFunction()
    • setAggregationFunction()
    • isHoldoutSetUsed()
    • setUseHoldoutSet()
    • isRemoveUnusedRules()
    • setRemoveUnusedRules()
    • getMinRules()
    • setMinRules()
    • getUpdateInterval()
    • setUpdateInterval()
    • getStopInterval()
    • setStopInterval()
    • getNumPast()
    • setNumPast()
    • getNumCurrent()
    • setNumCurrent()
    • getMinImprovement()
    • setMinImprovement()
    • createStoppingCriterionFactory()
    • shouldUseHoldoutSet()
    • shouldRemoveUnusedRules()
    • aggregationFunction_
    • useHoldoutSet_
    • removeUnusedRules_
    • minRules_
    • updateInterval_
    • stopInterval_
    • numPast_
    • numCurrent_
    • minImprovement_
• File head.hpp
  • IHead
    • CompleteHeadVisitor
    • PartialHeadVisitor
    • ~IHead()
    • visit()
• File head_complete.hpp
  • CompleteHead
    • value_iterator
    • value_const_iterator
    • CompleteHead()
    • values_begin()
    • values_end()
    • values_cbegin()
    • values_cend()
    • visit()
• File head_partial.hpp
  • PartialHead
    • PartialHead()
    • visit()
• File index_vector.hpp
  • IIndexVector
    • PartialIndexVectorVisitor
    • CompleteIndexVectorVisitor
    • ~IIndexVector()
    • getNumElements()
    • isPartial()
    • getIndex()
    • visit()
• File index_vector_complete.hpp
  • CompleteIndexVector
    • const_iterator
    • CompleteIndexVector()
    • cbegin()
    • cend()
    • setNumElements()
    • getNumElements()
    • isPartial()
    • getIndex()
    • visit()
    • numElements_
• File index_vector_partial.hpp
  • PartialIndexVector
    • PartialIndexVector()
    • getNumElements()
    • isPartial()
    • getIndex()
    • visit()
• File indexed_value.hpp
  • IndexedValue
    • IndexedValue()
    • IndexedValue()
    • IndexedValue()
    • index
    • value
    • IndexedValue::CompareIndex
      • operator()()
    • IndexedValue::CompareValue
      • operator()()
• File instance_sampling.hpp
  • IInstanceSampling
    • ~IInstanceSampling()
    • sample()
  • IClassificationInstanceSamplingFactory
    • ~IClassificationInstanceSamplingFactory()
    • create()
    • create()
    • create()
    • create()
    • create()
    • create()
    • create()
    • create()
  • IRegressionInstanceSamplingFactory
    • ~IRegressionInstanceSamplingFactory()
    • create()
    • create()
    • create()
    • create()
    • create()
    • create()
    • create()
    • create()
  • IClassificationInstanceSamplingConfig
    • ~IClassificationInstanceSamplingConfig()
    • createClassificationInstanceSamplingFactory()
  • IRegressionInstanceSamplingConfig
    • ~IRegressionInstanceSamplingConfig()
    • createRegressionInstanceSamplingFactory()
• File instance_sampling_no.hpp
  • NoInstanceSamplingConfig
    • createClassificationInstanceSamplingFactory()
    • createRegressionInstanceSamplingFactory()
• File instance_sampling_stratified_example_wise.hpp
  • IExampleWiseStratifiedInstanceSamplingConfig
    • ~IExampleWiseStratifiedInstanceSamplingConfig()
    • getSampleSize()
    • setSampleSize()
    • getMinSamples()
    • setMinSamples()
    • getMaxSamples()
    • setMaxSamples()
  • ExampleWiseStratifiedInstanceSamplingConfig
    • ExampleWiseStratifiedInstanceSamplingConfig()
    • getSampleSize()
    • setSampleSize()
    • getMinSamples()
    • setMinSamples()
    • getMaxSamples()
    • setMaxSamples()
    • createClassificationInstanceSamplingFactory()
    • rngConfig_
    • sampleSize_
    • minSamples_
    • maxSamples_
• File instance_sampling_stratified_output_wise.hpp
  • IOutputWiseStratifiedInstanceSamplingConfig
    • ~IOutputWiseStratifiedInstanceSamplingConfig()
    • getSampleSize()
    • setSampleSize()
    • getMinSamples()
    • setMinSamples()
    • getMaxSamples()
    • setMaxSamples()
  • OutputWiseStratifiedInstanceSamplingConfig
    • OutputWiseStratifiedInstanceSamplingConfig()
    • getSampleSize()
    • setSampleSize()
    • getMinSamples()
    • setMinSamples()
    • getMaxSamples()
    • setMaxSamples()
    • createClassificationInstanceSamplingFactory()
    • rngConfig_
    • sampleSize_
    • minSamples_
    • maxSamples_
• File instance_sampling_with_replacement.hpp
  • IInstanceSamplingWithReplacementConfig
    • ~IInstanceSamplingWithReplacementConfig()
    • getSampleSize()
    • setSampleSize()
    • getMinSamples()
    • setMinSamples()
    • getMaxSamples()
    • setMaxSamples()
  • InstanceSamplingWithReplacementConfig
    • InstanceSamplingWithReplacementConfig()
    • getSampleSize()
    • setSampleSize()
    • getMinSamples()
    • setMinSamples()
    • getMaxSamples()
    • setMaxSamples()
    • createClassificationInstanceSamplingFactory()
    • createRegressionInstanceSamplingFactory()
    • rngConfig_
    • sampleSize_
    • minSamples_
    • maxSamples_
• File instance_sampling_without_replacement.hpp
  • IInstanceSamplingWithoutReplacementConfig
    • ~IInstanceSamplingWithoutReplacementConfig()
    • getSampleSize()
    • setSampleSize()
    • getMinSamples()
    • setMinSamples()
    • getMaxSamples()
    • setMaxSamples()
  • InstanceSamplingWithoutReplacementConfig
    • InstanceSamplingWithoutReplacementConfig()
    • getSampleSize()
    • setSampleSize()
    • getMinSamples()
    • setMinSamples()
    • getMaxSamples()
    • setMaxSamples()
    • createClassificationInstanceSamplingFactory()
    • createRegressionInstanceSamplingFactory()
    • rngConfig_
    • sampleSize_
    • minSamples_
    • maxSamples_
• File interval.hpp
  • getStartAndEndOfOpenInterval()
  • Interval
    • Interval()
    • Interval()
    • ~Interval()
    • operator=()
    • start
    • end
    • inverse
• File iterator_binned.hpp
  • BinnedIterator
    • difference_type
    • value_type
    • pointer
    • reference
    • iterator_category
    • BinnedIterator()
    • operator[]()
    • operator[]()
    • operator*()
    • operator*()
    • operator++()
    • operator++()
    • operator--()
    • operator--()
    • operator!=()
    • operator==()
    • operator-()
    • binIndexView_
    • valueView_
    • index_
• File iterator_equal.hpp
  • EqualIterator
    • difference_type
    • value_type
    • pointer
    • reference
    • iterator_category
    • EqualIterator()
    • EqualIterator()
    • operator[]()
    • operator*()
    • operator++()
    • operator++()
    • operator--()
    • operator--()
    • operator!=()
    • operator==()
    • operator-()
    • value_
    • index_
• File iterator_forward_non_zero_index.hpp
  • createNonZeroIndexForwardIterator()
  • NonZeroIndexForwardIterator
    • difference_type
    • value_type
    • pointer
    • reference
    • iterator_category
    • NonZeroIndexForwardIterator()
    • operator*()
    • operator++()
    • operator++()
    • operator!=()
    • operator==()
    • iterator_
    • end_
    • index_
• File iterator_forward_sparse.hpp
  • createSparseForwardIterator()
  • SparseForwardIterator
    • difference_type
    • value_type
    • pointer
    • reference
    • iterator_category
    • SparseForwardIterator()
    • operator*()
    • operator++()
    • operator++()
    • operator!=()
    • operator==()
    • indexIterator_
    • indicesEnd_
    • valueIterator_
    • valuesEnd_
    • index_
    • iteratorIndex_
    • sparseValue_
• File iterator_forward_sparse_binary.hpp
  • createBinarySparseForwardIterator()
  • BinarySparseForwardIterator
    • difference_type
    • value_type
    • pointer
    • reference
    • iterator_category
    • BinarySparseForwardIterator()
    • operator*()
    • operator++()
    • operator++()
    • operator!=()
    • operator==()
    • indexIterator_
    • indicesEnd_
    • index_
    • iteratorIndex_
• File iterator_index.hpp
  • IndexIterator
    • difference_type
    • value_type
    • pointer
    • reference
    • iterator_category
    • IndexIterator()
    • IndexIterator()
    • operator[]()
    • operator*()
    • operator++()
    • operator++()
    • operator--()
    • operator--()
    • operator!=()
    • operator==()
    • operator-()
    • index_
• File iterators.hpp
  • util
    • iterator_value
• File label_matrix_c_contiguous.hpp
  • createCContiguousLabelMatrix()
  • ICContiguousLabelMatrix
    • ~ICContiguousLabelMatrix()
• File label_matrix_csr.hpp
  • createCsrLabelMatrix()
  • ICsrLabelMatrix
    • ~ICsrLabelMatrix()
• File label_matrix_row_wise.hpp
  • IRowWiseLabelMatrix
    • ~IRowWiseLabelMatrix()
    • calculateLabelCardinality()
    • createLabelVector()
    • createInstanceSampling()
    • createInstanceSampling()
    • createInstanceSampling()
    • createInstanceSampling()
    • createPartitionSampling()
    • createStatisticsProvider()
    • fitMarginalProbabilityCalibrationModel()
    • fitMarginalProbabilityCalibrationModel()
    • fitJointProbabilityCalibrationModel()
    • fitJointProbabilityCalibrationModel()
• File label_vector.hpp
  • LabelVector
• File label_vector_set.hpp
  • createLabelVectorSet()
  • ILabelVectorSet
    • LabelVectorVisitor
    • ~ILabelVectorSet()
    • addLabelVector()
    • visit()
  • LabelVectorSet
    • const_iterator
    • frequency_const_iterator
    • LabelVectorSet()
    • LabelVectorSet()
    • cbegin()
    • cend()
    • frequencies_cbegin()
    • frequencies_cend()
    • getNumLabelVectors()
    • addLabelVector()
    • visit()
    • createJointProbabilityCalibrator()
    • createBinaryPredictor()
    • createBinaryPredictor()
    • createSparseBinaryPredictor()
    • createSparseBinaryPredictor()
    • createScorePredictor()
    • createScorePredictor()
    • createProbabilityPredictor()
    • createProbabilityPredictor()
    • labelVectors_
    • frequencies_
• File learner.hpp
  • ITrainingResult
    • ~ITrainingResult()
    • getNumOutputs()
    • getRuleModel()
    • getRuleModel()
    • getOutputSpaceInfo()
    • getOutputSpaceInfo()
    • getMarginalProbabilityCalibrationModel()
    • getMarginalProbabilityCalibrationModel()
    • getJointProbabilityCalibrationModel()
    • getJointProbabilityCalibrationModel()
  • IRuleLearnerConfig
    • ~IRuleLearnerConfig()
    • useDefaults()
    • getRuleCompareFunction()
    • getRNGConfig()
    • getDefaultRuleConfig()
    • getRuleModelAssemblageConfig()
    • getRuleInductionConfig()
    • getRuleRefinementConfig()
    • getFeatureBinningConfig()
    • getOutputSamplingConfig()
    • getClassificationInstanceSamplingConfig()
    • getRegressionInstanceSamplingConfig()
    • getFeatureSamplingConfig()
    • getClassificationPartitionSamplingConfig()
    • getRegressionPartitionSamplingConfig()
    • getRulePruningConfig()
    • getPostProcessorConfig()
    • getParallelRuleRefinementConfig()
    • getParallelStatisticUpdateConfig()
    • getParallelPredictionConfig()
    • getSizeStoppingCriterionConfig()
    • getTimeStoppingCriterionConfig()
    • getGlobalPruningConfig()
    • getSequentialPostOptimizationConfig()
    • getUnusedRuleRemovalConfig()
    • getMarginalProbabilityCalibratorConfig()
    • getJointProbabilityCalibratorConfig()
    • getScorePredictorConfig()
    • getProbabilityPredictorConfig()
    • getBinaryPredictorConfig()
  • IRNGMixin
    • ~IRNGMixin()
    • useRNG()
  • ISequentialRuleModelAssemblageMixin
    • ~ISequentialRuleModelAssemblageMixin()
    • useSequentialRuleModelAssemblage()
  • IDefaultRuleMixin
    • ~IDefaultRuleMixin()
    • useDefaultRule()
  • IGreedyTopDownRuleInductionMixin
    • ~IGreedyTopDownRuleInductionMixin()
    • useGreedyTopDownRuleInduction()
  • IBeamSearchTopDownRuleInductionMixin
    • ~IBeamSearchTopDownRuleInductionMixin()
    • useBeamSearchTopDownRuleInduction()
  • INoPostProcessorMixin
    • ~INoPostProcessorMixin()
    • useNoPostProcessor()
  • INoFeatureBinningMixin
    • ~INoFeatureBinningMixin()
    • useNoFeatureBinning()
  • IEqualWidthFeatureBinningMixin
    • ~IEqualWidthFeatureBinningMixin()
    • useEqualWidthFeatureBinning()
  • IEqualFrequencyFeatureBinningMixin
    • ~IEqualFrequencyFeatureBinningMixin()
    • useEqualFrequencyFeatureBinning()
  • INoOutputSamplingMixin
    • ~INoOutputSamplingMixin()
    • useNoOutputSampling()
  • IOutputSamplingWithoutReplacementMixin
    • ~IOutputSamplingWithoutReplacementMixin()
    • useOutputSamplingWithoutReplacement()
  • IRoundRobinOutputSamplingMixin
    • ~IRoundRobinOutputSamplingMixin()
    • useRoundRobinOutputSampling()
  • INoInstanceSamplingMixin
    • ~INoInstanceSamplingMixin()
    • useNoInstanceSampling()
  • IInstanceSamplingWithReplacementMixin
    • ~IInstanceSamplingWithReplacementMixin()
    • useInstanceSamplingWithReplacement()
  • IInstanceSamplingWithoutReplacementMixin
    • ~IInstanceSamplingWithoutReplacementMixin()
    • useInstanceSamplingWithoutReplacement()
  • INoFeatureSamplingMixin
    • ~INoFeatureSamplingMixin()
    • useNoFeatureSampling()
  • IFeatureSamplingWithoutReplacementMixin
    • ~IFeatureSamplingWithoutReplacementMixin()
    • useFeatureSamplingWithoutReplacement()
  • INoPartitionSamplingMixin
    • ~INoPartitionSamplingMixin()
    • useNoPartitionSampling()
  • IRandomBiPartitionSamplingMixin
    • ~IRandomBiPartitionSamplingMixin()
    • useRandomBiPartitionSampling()
  • INoRulePruningMixin
    • ~INoRulePruningMixin()
    • useNoRulePruning()
  • IIrepRulePruningMixin
    • ~IIrepRulePruningMixin()
    • useIrepRulePruning()
  • INoParallelRuleRefinementMixin
    • ~INoParallelRuleRefinementMixin()
    • useNoParallelRuleRefinement()
  • IParallelRuleRefinementMixin
    • ~IParallelRuleRefinementMixin()
    • useParallelRuleRefinement()
  • INoParallelStatisticAggregationMixin
    • ~INoParallelStatisticAggregationMixin()
    • useNoParallelStatisticAggregation()
  • INoParallelStatisticUpdateMixin
    • ~INoParallelStatisticUpdateMixin()
    • useNoParallelStatisticUpdate()
  • IParallelStatisticUpdateMixin
    • ~IParallelStatisticUpdateMixin()
    • useParallelStatisticUpdate()
  • INoParallelPredictionMixin
    • ~INoParallelPredictionMixin()
    • useNoParallelPrediction()
  • IParallelPredictionMixin
    • ~IParallelPredictionMixin()
    • useParallelPrediction()
  • INoSizeStoppingCriterionMixin
    • ~INoSizeStoppingCriterionMixin()
    • useNoSizeStoppingCriterion()
  • ISizeStoppingCriterionMixin
    • ~ISizeStoppingCriterionMixin()
    • useSizeStoppingCriterion()
  • INoTimeStoppingCriterionMixin
    • ~INoTimeStoppingCriterionMixin()
    • useNoTimeStoppingCriterion()
  • ITimeStoppingCriterionMixin
    • ~ITimeStoppingCriterionMixin()
    • useTimeStoppingCriterion()
  • IPrePruningMixin
    • ~IPrePruningMixin()
    • useGlobalPrePruning()
  • INoGlobalPruningMixin
    • ~INoGlobalPruningMixin()
    • useNoGlobalPruning()
  • IPostPruningMixin
    • ~IPostPruningMixin()
    • useGlobalPostPruning()
  • INoSequentialPostOptimizationMixin
    • ~INoSequentialPostOptimizationMixin()
    • useNoSequentialPostOptimization()
  • ISequentialPostOptimizationMixin
    • ~ISequentialPostOptimizationMixin()
    • useSequentialPostOptimization()
  • INoMarginalProbabilityCalibrationMixin
    • ~INoMarginalProbabilityCalibrationMixin()
    • useNoMarginalProbabilityCalibration()
  • INoJointProbabilityCalibrationMixin
    • ~INoJointProbabilityCalibrationMixin()
    • useNoJointProbabilityCalibration()
  • INoScorePredictorMixin
    • ~INoScorePredictorMixin()
    • useNoScorePredictor()
  • INoProbabilityPredictorMixin
    • ~INoProbabilityPredictorMixin()
    • useNoProbabilityPredictor()
  • INoBinaryPredictorMixin
    • ~INoBinaryPredictorMixin()
    • useNoBinaryPredictor()
  • IRuleLearnerMixin
    • ~IRuleLearnerMixin()
    • useDefaults()
• File learner_classification.hpp
  • IClassificationRuleLearner
    • ~IClassificationRuleLearner()
    • fit()
    • canPredictScores()
    • canPredictScores()
    • createScorePredictor()
    • createScorePredictor()
    • canPredictProbabilities()
    • canPredictProbabilities()
    • createProbabilityPredictor()
    • createProbabilityPredictor()
    • canPredictBinary()
    • canPredictBinary()
    • createBinaryPredictor()
    • createBinaryPredictor()
    • createSparseBinaryPredictor()
    • createSparseBinaryPredictor()
  • IOutputWiseStratifiedInstanceSamplingMixin
    • ~IOutputWiseStratifiedInstanceSamplingMixin()
    • useOutputWiseStratifiedInstanceSampling()
  • IExampleWiseStratifiedInstanceSamplingMixin
    • ~IExampleWiseStratifiedInstanceSamplingMixin()
    • useExampleWiseStratifiedInstanceSampling()
  • IOutputWiseStratifiedBiPartitionSamplingMixin
    • ~IOutputWiseStratifiedBiPartitionSamplingMixin()
    • useOutputWiseStratifiedBiPartitionSampling()
  • IExampleWiseStratifiedBiPartitionSamplingMixin
    • ~IExampleWiseStratifiedBiPartitionSamplingMixin()
    • useExampleWiseStratifiedBiPartitionSampling()
• File learner_classification_common.hpp
  • AbstractClassificationRuleLearner
    • AbstractClassificationRuleLearner()
    • ~AbstractClassificationRuleLearner()
    • fit()
    • canPredictScores()
    • createScorePredictor()
    • canPredictProbabilities()
    • createProbabilityPredictor()
    • canPredictBinary()
    • createBinaryPredictor()
    • createSparseBinaryPredictor()
    • configurator_
• File learner_common.hpp
  • TrainingResult
    • TrainingResult()
    • getNumOutputs()
    • getRuleModel()
    • getRuleModel()
    • getOutputSpaceInfo()
    • getOutputSpaceInfo()
    • getMarginalProbabilityCalibrationModel()
    • getMarginalProbabilityCalibrationModel()
    • getJointProbabilityCalibrationModel()
    • getJointProbabilityCalibrationModel()
    • numOutputs_
    • ruleModelPtr_
    • outputSpaceInfoPtr_
    • marginalProbabilityCalibrationModelPtr_
    • jointProbabilityCalibrationModelPtr_
  • RuleLearnerConfigurator
    • RuleLearnerConfigurator()
    • ~RuleLearnerConfigurator()
    • createRuleModelAssemblageFactory()
    • createFeatureSpaceFactory()
    • createOutputSamplingFactory()
    • createClassificationInstanceSamplingFactory()
    • createRegressionInstanceSamplingFactory()
    • createFeatureSamplingFactory()
    • createClassificationPartitionSamplingFactory()
    • createRegressionPartitionSamplingFactory()
    • createSizeStoppingCriterionFactory()
    • createTimeStoppingCriterionFactory()
    • createGlobalPruningFactory()
    • createSequentialPostOptimizationFactory()
    • createUnusedRuleRemovalFactory()
    • createMarginalProbabilityCalibratorFactory()
    • createJointProbabilityCalibratorFactory()
    • createStoppingCriterionFactories()
    • createPostOptimizationPhaseFactories()
    • createOutputSpaceInfo()
    • createScorePredictorFactory()
    • createProbabilityPredictorFactory()
    • createBinaryPredictorFactory()
    • createSparseBinaryPredictorFactory()
    • createClassificationStatisticsProviderFactory()
    • createRegressionStatisticsProviderFactory()
    • createModelBuilderFactory()
    • config_
  • RuleLearnerConfig
    • RuleLearnerConfig()
    • ~RuleLearnerConfig()
    • getRuleCompareFunction()
    • getRNGConfig()
    • getDefaultRuleConfig()
    • getRuleModelAssemblageConfig()
    • getRuleInductionConfig()
    • getRuleRefinementConfig()
    • getFeatureBinningConfig()
    • getOutputSamplingConfig()
    • getClassificationInstanceSamplingConfig()
    • getRegressionInstanceSamplingConfig()
    • getFeatureSamplingConfig()
    • getClassificationPartitionSamplingConfig()
    • getRegressionPartitionSamplingConfig()
    • getRulePruningConfig()
    • getPostProcessorConfig()
    • getParallelRuleRefinementConfig()
    • getParallelStatisticUpdateConfig()
    • getParallelPredictionConfig()
    • getSizeStoppingCriterionConfig()
    • getTimeStoppingCriterionConfig()
    • getGlobalPruningConfig()
    • getSequentialPostOptimizationConfig()
    • getUnusedRuleRemovalConfig()
    • getMarginalProbabilityCalibratorConfig()
    • getJointProbabilityCalibratorConfig()
    • getScorePredictorConfig()
    • getProbabilityPredictorConfig()
    • getBinaryPredictorConfig()
    • rngConfigPtr_
    • defaultRuleConfigPtr_
    • ruleModelAssemblageConfigPtr_
    • ruleInductionConfigPtr_
    • ruleRefinementConfigPtr_
    • featureBinningConfigPtr_
    • outputSamplingConfigPtr_
    • classificationInstanceSamplingConfigPtr_
    • regressionInstanceSamplingConfigPtr_
    • featureSamplingConfigPtr_
    • classificationPartitionSamplingConfigPtr_
    • regressionPartitionSamplingConfigPtr_
    • rulePruningConfigPtr_
    • postProcessorConfigPtr_
    • parallelRuleRefinementConfigPtr_
    • parallelStatisticUpdateConfigPtr_
    • parallelPredictionConfigPtr_
    • sizeStoppingCriterionConfigPtr_
    • timeStoppingCriterionConfigPtr_
    • globalPruningConfigPtr_
    • sequentialPostOptimizationConfigPtr_
    • unusedRuleRemovalConfigPtr_
    • marginalProbabilityCalibratorConfigPtr_
    • jointProbabilityCalibratorConfigPtr_
    • scorePredictorConfigPtr_
    • probabilityPredictorConfigPtr_
    • binaryPredictorConfigPtr_
    • ruleCompareFunction_
• File learner_regression.hpp
  • IRegressionRuleLearner
    • ~IRegressionRuleLearner()
    • fit()
    • canPredictScores()
    • canPredictScores()
    • createScorePredictor()
    • createScorePredictor()
• File learner_regression_common.hpp
  • AbstractRegressionRuleLearner
    • AbstractRegressionRuleLearner()
    • ~AbstractRegressionRuleLearner()
    • fit()
    • canPredictScores()
    • createScorePredictor()
    • configurator_
• File library_info.hpp
  • getLibraryInfo()
  • isMultiThreadingSupportEnabled()
  • getNumCpuCores()
  • isGpuSupportEnabled()
  • isGpuAvailable()
  • getGpuDevices()
  • ILibraryInfo
    • BuildOptionVisitor
    • HardwareResourceVisitor
    • ~ILibraryInfo()
    • getLibraryName()
    • getLibraryVersion()
    • getTargetArchitecture()
    • visitBuildOptions()
    • visitHardwareResources()
    • ILibraryInfo::BuildOption
      • BuildOption()
      • option
      • description
      • value
    • ILibraryInfo::HardwareResource
      • HardwareResource()
      • resource
      • info
• File math.hpp
  • util
    • divideOrZero()
    • arithmeticMean()
    • iterativeArithmeticMean()
    • calculateBoundedFraction()
• File matrix_c_contiguous.hpp
  • CContiguousMatrix
    • CContiguousMatrix()
• File matrix_dense.hpp
  • DenseMatrixDecorator
• File matrix_lil.hpp
  • LilMatrixDecorator
  • LilMatrix
    • LilMatrix()
• File matrix_lil_binary.hpp
  • BinaryLilMatrix
    • BinaryLilMatrix()
• File matrix_sparse_binary.hpp
  • BinarySparseMatrixDecorator
• File matrix_sparse_set.hpp
  • SparseSetMatrixDecorator
  • SparseSetMatrix
    • SparseSetMatrix()
• File measure_distance.hpp
  • IDistanceMeasure
    • ~IDistanceMeasure()
    • measureDistance()
    • getClosestLabelVector()
  • IDistanceMeasureFactory
    • ~IDistanceMeasureFactory()
    • createDistanceMeasure()
• File measure_evaluation.hpp
  • IClassificationEvaluationMeasure
    • ~IClassificationEvaluationMeasure()
    • evaluate()
    • evaluate()
  • IRegressionEvaluationMeasure
    • ~IRegressionEvaluationMeasure()
    • evaluate()
    • evaluate()
  • IClassificationEvaluationMeasureFactory
    • ~IClassificationEvaluationMeasureFactory()
    • createClassificationEvaluationMeasure()
  • IRegressionEvaluationMeasureFactory
    • ~IRegressionEvaluationMeasureFactory()
    • createRegressionEvaluationMeasure()
• File measure_evaluation_sparse.hpp
  • ISparseEvaluationMeasure
    • ~ISparseEvaluationMeasure()
    • evaluate()
    • evaluate()
  • ISparseEvaluationMeasureFactory
    • ~ISparseEvaluationMeasureFactory()
    • createSparseEvaluationMeasure()
    • createClassificationEvaluationMeasure()
• File memory.hpp
  • util
    • allocateMemory()
    • reallocateMemory()
    • freeMemory()
• File model_builder.hpp
  • IModelBuilder
    • ~IModelBuilder()
    • setDefaultRule()
    • addRule()
    • setNumUsedRules()
    • buildModel()
  • IModelBuilderFactory
    • ~IModelBuilderFactory()
    • create()
• File model_builder_intermediate.hpp
  • IntermediateModelBuilder
    • IntermediateRule
    • iterator
    • IntermediateModelBuilder()
    • begin()
    • end()
    • removeLastRule()
    • getNumRules()
    • getNumUsedRules()
    • setNumUsedRules()
    • setDefaultRule()
    • addRule()
    • buildModel()
    • modelBuilderPtr_
    • defaultPredictionPtr_
    • intermediateRuleList_
    • numUsedRules_
• File multi_threading.hpp
  • MultiThreadingSettings
    • MultiThreadingSettings()
    • numThreads
  • IMultiThreadingConfig
    • ~IMultiThreadingConfig()
    • getSettings()
• File multi_threading_manual.hpp
  • IManualMultiThreadingConfig
    • ~IManualMultiThreadingConfig()
    • getNumPreferredThreads()
    • setNumPreferredThreads()
  • ManualMultiThreadingConfig
    • ManualMultiThreadingConfig()
    • getNumPreferredThreads()
    • setNumPreferredThreads()
    • getSettings()
    • numPreferredThreads_
• File multi_threading_no.hpp
  • NoMultiThreadingConfig
    • getSettings()
• File opencl.hpp
  • util
    • getSupportedGpuDevices()
• File openmp.hpp
• File output_matrix.hpp
  • IOutputMatrix
    • ~IOutputMatrix()
    • isSparse()
    • getNumExamples()
    • getNumOutputs()
• File output_sampling.hpp
  • IOutputSampling
    • ~IOutputSampling()
    • sample()
  • IOutputSamplingFactory
    • ~IOutputSamplingFactory()
    • create()
  • IOutputSamplingConfig
    • ~IOutputSamplingConfig()
    • createOutputSamplingFactory()
• File output_sampling_no.hpp
  • NoOutputSamplingConfig
    • createOutputSamplingFactory()
• File output_sampling_round_robin.hpp
  • RoundRobinOutputSamplingConfig
    • createOutputSamplingFactory()
• File output_sampling_without_replacement.hpp
  • IOutputSamplingWithoutReplacementConfig
    • ~IOutputSamplingWithoutReplacementConfig()
    • getSampleSize()
    • setSampleSize()
    • getMinSamples()
    • setMinSamples()
    • getMaxSamples()
    • setMaxSamples()
  • OutputSamplingWithoutReplacementConfig
    • OutputSamplingWithoutReplacementConfig()
    • getSampleSize()
    • setSampleSize()
    • getMinSamples()
    • setMinSamples()
    • getMaxSamples()
    • setMaxSamples()
    • createOutputSamplingFactory()
    • rngConfig_
    • sampleSize_
    • minSamples_
    • maxSamples_
• File output_space_info.hpp
  • IOutputSpaceInfo
    • ~IOutputSpaceInfo()
    • createJointProbabilityCalibrator()
    • createBinaryPredictor()
    • createBinaryPredictor()
    • createSparseBinaryPredictor()
    • createSparseBinaryPredictor()
    • createScorePredictor()
    • createScorePredictor()
    • createProbabilityPredictor()
    • createProbabilityPredictor()
• File output_space_info_no.hpp
  • createNoOutputSpaceInfo()
  • INoOutputSpaceInfo
    • ~INoOutputSpaceInfo()
• File partition.hpp
  • IPartition
    • ~IPartition()
    • createStoppingCriterion()
    • createInstanceSampling()
    • createInstanceSampling()
    • createInstanceSampling()
    • createInstanceSampling()
    • evaluateOutOfSample()
    • recalculatePrediction()
    • fitMarginalProbabilityCalibrationModel()
    • fitJointProbabilityCalibrationModel()
• File partition_bi.hpp
  • BiPartition
    • iterator
    • const_iterator
    • BiPartition()
    • first_begin()
    • first_end()
    • first_cbegin()
    • first_cend()
    • second_begin()
    • second_end()
    • second_cbegin()
    • second_cend()
    • getNumFirst()
    • getNumSecond()
    • sortFirst()
    • sortSecond()
    • createStoppingCriterion()
    • createInstanceSampling()
    • createInstanceSampling()
    • createInstanceSampling()
    • createInstanceSampling()
    • evaluateOutOfSample()
    • recalculatePrediction()
    • fitMarginalProbabilityCalibrationModel()
    • fitJointProbabilityCalibrationModel()
    • numFirst_
    • firstSorted_
    • secondSorted_
• File partition_sampling.hpp
  • IPartitionSampling
    • ~IPartitionSampling()
    • partition()
  • IClassificationPartitionSamplingFactory
    • ~IClassificationPartitionSamplingFactory()
    • create()
    • create()
  • IRegressionPartitionSamplingFactory
    • ~IRegressionPartitionSamplingFactory()
    • create()
    • create()
  • IClassificationPartitionSamplingConfig
    • ~IClassificationPartitionSamplingConfig()
    • createClassificationPartitionSamplingFactory()
  • IRegressionPartitionSamplingConfig
    • ~IRegressionPartitionSamplingConfig()
    • createRegressionPartitionSamplingFactory()
• File partition_sampling_bi_random.hpp
  • IRandomBiPartitionSamplingConfig
    • ~IRandomBiPartitionSamplingConfig()
    • getHoldoutSetSize()
    • setHoldoutSetSize()
  • RandomBiPartitionSamplingConfig
    • RandomBiPartitionSamplingConfig()
    • getHoldoutSetSize()
    • setHoldoutSetSize()
    • createClassificationPartitionSamplingFactory()
    • createRegressionPartitionSamplingFactory()
    • rngConfig_
    • holdoutSetSize_
• File partition_sampling_bi_stratified_example_wise.hpp
  • IExampleWiseStratifiedBiPartitionSamplingConfig
    • ~IExampleWiseStratifiedBiPartitionSamplingConfig()
    • getHoldoutSetSize()
    • setHoldoutSetSize()
  • ExampleWiseStratifiedBiPartitionSamplingConfig
    • ExampleWiseStratifiedBiPartitionSamplingConfig()
    • getHoldoutSetSize()
    • setHoldoutSetSize()
    • createClassificationPartitionSamplingFactory()
    • rngConfig_
    • holdoutSetSize_
• File partition_sampling_bi_stratified_output_wise.hpp
  • IOutputWiseStratifiedBiPartitionSamplingConfig
    • ~IOutputWiseStratifiedBiPartitionSamplingConfig()
    • getHoldoutSetSize()
    • setHoldoutSetSize()
  • OutputWiseStratifiedBiPartitionSamplingConfig
    • OutputWiseStratifiedBiPartitionSamplingConfig()
    • getHoldoutSetSize()
    • setHoldoutSetSize()
    • createClassificationPartitionSamplingFactory()
    • rngConfig_
    • holdoutSetSize_
• File partition_sampling_no.hpp
  • NoPartitionSamplingConfig
    • createClassificationPartitionSamplingFactory()
    • createRegressionPartitionSamplingFactory()
• File partition_single.hpp
  • SinglePartition
    • const_iterator
    • SinglePartition()
    • cbegin()
    • cend()
    • getNumElements()
    • createStoppingCriterion()
    • createInstanceSampling()
    • createInstanceSampling()
    • createInstanceSampling()
    • createInstanceSampling()
    • evaluateOutOfSample()
    • recalculatePrediction()
    • fitMarginalProbabilityCalibrationModel()
    • fitJointProbabilityCalibrationModel()
    • numElements_
• File post_optimization.hpp
  • IPostOptimizationPhase
    • ~IPostOptimizationPhase()
    • optimizeModel()
  • IPostOptimizationPhaseFactory
    • ~IPostOptimizationPhaseFactory()
    • create()
  • IPostOptimizationPhaseConfig
    • ~IPostOptimizationPhaseConfig()
    • createPostOptimizationPhaseFactory()
  • IPostOptimization
    • ~IPostOptimization()
    • getModelBuilder()
  • IPostOptimizationFactory
    • ~IPostOptimizationFactory()
    • create()
• File post_optimization_no.hpp
  • NoPostOptimizationPhaseConfig
    • createPostOptimizationPhaseFactory()
• File post_optimization_phase_list.hpp
  • PostOptimizationPhaseListFactory
    • addPostOptimizationPhaseFactory()
    • create()
    • postOptimizationPhaseFactories_
• File post_optimization_sequential.hpp
  • ISequentialPostOptimizationConfig
    • ~ISequentialPostOptimizationConfig()
    • getNumIterations()
    • setNumIterations()
    • areHeadsRefined()
    • setRefineHeads()
    • areFeaturesResampled()
    • setResampleFeatures()
  • SequentialPostOptimizationConfig
    • SequentialPostOptimizationConfig()
    • getNumIterations()
    • setNumIterations()
    • areHeadsRefined()
    • setRefineHeads()
    • areFeaturesResampled()
    • setResampleFeatures()
    • createPostOptimizationPhaseFactory()
    • ruleInductionConfig_
    • numIterations_
    • refineHeads_
    • resampleFeatures_
• File post_optimization_unused_rule_removal.hpp
  • UnusedRuleRemovalConfig
    • createPostOptimizationPhaseFactory()
• File post_processor.hpp
  • IPostProcessor
    • ~IPostProcessor()
    • postProcess()
    • postProcess()
    • postProcess()
  • IPostProcessorFactory
    • ~IPostProcessorFactory()
    • create()
  • IPostProcessorConfig
    • ~IPostProcessorConfig()
    • createPostProcessorFactory()
• File post_processor_no.hpp
  • NoPostProcessorConfig
    • createPostProcessorFactory()
• File prediction.hpp
  • IPrediction
    • ~IPrediction()
    • sort()
    • postProcess()
    • createStatisticsSubset()
    • createStatisticsSubset()
    • createStatisticsSubset()
    • createStatisticsSubset()
    • createStatisticsSubset()
    • createStatisticsSubset()
    • createStatisticsSubset()
    • createStatisticsSubset()
    • createHead()
• File prediction_complete.hpp
  • CompletePrediction
    • value_iterator
    • value_const_iterator
    • index_const_iterator
    • CompletePrediction()
    • values_begin()
    • values_end()
    • values_cbegin()
    • values_cend()
    • indices_cbegin()
    • indices_cend()
    • getNumElements()
    • sort()
    • postProcess()
    • isPartial()
    • getIndex()
    • visit()
    • createStatisticsSubset()
    • createStatisticsSubset()
    • createStatisticsSubset()
    • createStatisticsSubset()
    • createStatisticsSubset()
    • createStatisticsSubset()
    • createStatisticsSubset()
    • createStatisticsSubset()
    • applyPrediction()
    • revertPrediction()
    • createHead()
    • indexVector_
    • statisticsUpdatePtr_
• File prediction_evaluated.hpp
  • IEvaluatedPrediction
    • ~IEvaluatedPrediction()
• File prediction_matrix_dense.hpp
  • DensePredictionMatrix
    • DensePredictionMatrix()
    • get()
    • release()
• File prediction_matrix_sparse_binary.hpp
  • createBinarySparsePredictionMatrix()
  • BinarySparsePredictionView
    • BinarySparsePredictionView()
    • BinarySparsePredictionView()
  • BinarySparsePredictionMatrix
    • BinarySparsePredictionMatrix()
    • getIndices()
    • releaseIndices()
    • getIndptr()
    • releaseIndptr()
• File prediction_partial.hpp
  • PartialPrediction
    • value_iterator
    • value_const_iterator
    • index_iterator
    • index_const_iterator
    • PartialPrediction()
    • values_begin()
    • values_end()
    • values_cbegin()
    • values_cend()
    • indices_begin()
    • indices_end()
    • indices_cbegin()
    • indices_cend()
    • setSorted()
    • setNumElements()
    • getNumElements()
    • sort()
    • postProcess()
    • isPartial()
    • getIndex()
    • visit()
    • createStatisticsSubset()
    • createStatisticsSubset()
    • createStatisticsSubset()
    • createStatisticsSubset()
    • createStatisticsSubset()
    • createStatisticsSubset()
    • createStatisticsSubset()
    • createStatisticsSubset()
    • applyPrediction()
    • revertPrediction()
    • createHead()
    • indexVector_
    • sorted_
    • statisticsUpdatePtr_
• File predictor.hpp
  • IIncrementalPredictor
    • ~IIncrementalPredictor()
    • hasNext()
    • getNumNext()
    • applyNext()
  • IPredictor
    • ~IPredictor()
    • predict()
    • canPredictIncrementally()
    • createIncrementalPredictor()
  • IPredictorConfig
    • ~IPredictorConfig()
    • createPredictorFactory()
    • isLabelVectorSetNeeded()
• File predictor_binary.hpp
  • IBinaryPredictor
    • ~IBinaryPredictor()
  • IBinaryPredictorFactory
    • ~IBinaryPredictorFactory()
    • create()
    • create()
  • ISparseBinaryPredictor
    • ~ISparseBinaryPredictor()
  • ISparseBinaryPredictorFactory
    • ~ISparseBinaryPredictorFactory()
    • create()
    • create()
  • IBinaryPredictorConfig
    • ~IBinaryPredictorConfig()
    • createSparsePredictorFactory()
• File predictor_binary_no.hpp
  • NoBinaryPredictorConfig
    • createPredictorFactory()
    • createSparsePredictorFactory()
    • isLabelVectorSetNeeded()
• File predictor_common.hpp
  • PredictionDispatcher
    • predict()
    • PredictionDispatcher::IPredictionDelegate
      • ~IPredictionDelegate()
      • predictForExample()
  • BinarySparsePredictionDispatcher
    • predict()
    • BinarySparsePredictionDispatcher::IPredictionDelegate
      • ~IPredictionDelegate()
      • predictForExample()
  • AbstractIncrementalPredictor
    • AbstractIncrementalPredictor()
    • ~AbstractIncrementalPredictor()
    • getNumNext()
    • applyNext()
    • applyNext()
    • featureMatrix_
    • multiThreadingSettings_
    • current_
    • end_
• File predictor_probability.hpp
  • IProbabilityPredictor
    • ~IProbabilityPredictor()
  • IProbabilityPredictorFactory
    • ~IProbabilityPredictorFactory()
    • create()
    • create()
  • IProbabilityPredictorConfig
    • ~IProbabilityPredictorConfig()
• File predictor_probability_no.hpp
  • NoProbabilityPredictorConfig
    • createPredictorFactory()
    • isLabelVectorSetNeeded()
• File predictor_score.hpp
  • IScorePredictor
    • ~IScorePredictor()
  • IScorePredictorFactory
    • ~IScorePredictorFactory()
    • create()
    • create()
  • IScorePredictorConfig
    • ~IScorePredictorConfig()
• File predictor_score_no.hpp
  • NoScorePredictorConfig
    • createPredictorFactory()
    • isLabelVectorSetNeeded()
• File probability_calibration.hpp
  • IProbabilityCalibrator
    • ~IProbabilityCalibrator()
    • fitProbabilityCalibrationModel()
    • fitProbabilityCalibrationModel()
    • fitProbabilityCalibrationModel()
    • fitProbabilityCalibrationModel()
• File probability_calibration_isotonic.hpp
  • createIsotonicProbabilityCalibrationModel()
  • IIsotonicProbabilityCalibrationModel
    • BinVisitor
    • ~IIsotonicProbabilityCalibrationModel()
    • getNumBinLists()
    • addBin()
    • visit()
  • IsotonicProbabilityCalibrationModel
    • IsotonicProbabilityCalibrationModel()
    • fit()
    • calibrateMarginalProbability()
    • calibrateJointProbability()
    • getNumBinLists()
    • addBin()
    • visit()
• File probability_calibration_joint.hpp
  • IJointProbabilityCalibrationModel
    • ~IJointProbabilityCalibrationModel()
    • calibrateJointProbability()
  • IJointProbabilityCalibrator
    • ~IJointProbabilityCalibrator()
  • IJointProbabilityCalibratorFactory
    • ~IJointProbabilityCalibratorFactory()
    • create()
  • IJointProbabilityCalibratorConfig
    • ~IJointProbabilityCalibratorConfig()
    • shouldUseHoldoutSet()
    • isLabelVectorSetNeeded()
    • createJointProbabilityCalibratorFactory()
• File probability_calibration_marginal.hpp
  • IMarginalProbabilityCalibrationModel
    • ~IMarginalProbabilityCalibrationModel()
    • calibrateMarginalProbability()
  • IMarginalProbabilityCalibrator
    • ~IMarginalProbabilityCalibrator()
  • IMarginalProbabilityCalibratorFactory
    • ~IMarginalProbabilityCalibratorFactory()
    • create()
  • IMarginalProbabilityCalibratorConfig
    • ~IMarginalProbabilityCalibratorConfig()
    • shouldUseHoldoutSet()
    • createMarginalProbabilityCalibratorFactory()
• File probability_calibration_no.hpp
  • createNoProbabilityCalibrationModel()
  • INoProbabilityCalibrationModel
    • ~INoProbabilityCalibrationModel()
  • NoMarginalProbabilityCalibratorFactory
    • ~NoMarginalProbabilityCalibratorFactory()
    • create()
  • NoMarginalProbabilityCalibratorConfig
    • shouldUseHoldoutSet()
    • createMarginalProbabilityCalibratorFactory()
  • NoJointProbabilityCalibratorFactory
    • create()
  • NoJointProbabilityCalibratorConfig
    • shouldUseHoldoutSet()
    • isLabelVectorSetNeeded()
    • createJointProbabilityCalibratorFactory()
• File properties.hpp
  • SharedProperty
  • ReadableProperty
    • GetterFunction
    • ReadableProperty()
    • get
  • WritableProperty
    • SetterFunction
    • WritableProperty()
    • set
  • Property
    • Property()
  • util
    • getterFunction()
    • getterFunction()
    • getterFunction()
    • setterFunction()
    • sharedSetterFunction()
    • readableProperty()
    • readableProperty()
    • readableProperty()
    • property()
    • sharedProperty()
• File quality.hpp
  • Quality
    • Quality()
    • Quality()
    • Quality()
    • ~Quality()
    • operator=()
    • quality
• File refinement.hpp
  • Refinement
    • operator=()
    • headPtr
• File refinement_comparator_fixed.hpp
  • FixedRefinementComparator
    • iterator
    • FixedRefinementComparator()
    • FixedRefinementComparator()
    • FixedRefinementComparator()
    • ~FixedRefinementComparator()
    • begin()
    • end()
    • getNumElements()
    • isImprovement()
    • pushRefinement()
    • merge()
    • ruleCompareFunction_
    • maxRefinements_
    • refinements_
    • order_
    • minQuality_
• File refinement_comparator_single.hpp
  • SingleRefinementComparator
    • iterator
    • SingleRefinementComparator()
    • SingleRefinementComparator()
    • begin()
    • end()
    • getNumElements()
    • isImprovement()
    • pushRefinement()
    • merge()
    • ruleCompareFunction_
    • bestRefinement_
    • bestQuality_
    • scoreProcessor_
• File regression_matrix_c_contiguous.hpp
  • createCContiguousRegressionMatrix()
  • ICContiguousRegressionMatrix
    • ~ICContiguousRegressionMatrix()
• File regression_matrix_csr.hpp
  • createCsrRegressionMatrix()
  • ICsrRegressionMatrix
    • ~ICsrRegressionMatrix()
• File regression_matrix_row_wise.hpp
  • IRowWiseRegressionMatrix
    • ~IRowWiseRegressionMatrix()
    • createInstanceSampling()
    • createInstanceSampling()
    • createInstanceSampling()
    • createInstanceSampling()
    • createPartitionSampling()
    • createStatisticsProvider()
• File ring_buffer.hpp
  • RingBuffer
    • const_iterator
    • RingBuffer()
    • cbegin()
    • cend()
    • getCapacity()
    • getNumElements()
    • isFull()
    • push()
    • pos_
    • full_
• File rng.hpp
  • RNG
    • RNG()
    • randomInt()
    • randomBool()
    • randomState_
  • RNGFactory
    • RNGFactory()
    • create()
    • randomState_
  • RNGConfig
    • RNGConfig()
    • getRandomState()
    • setRandomState()
    • createRNGFactory()
    • randomState_
• File rule_compare_function.hpp
  • RuleCompareFunction
    • CompareFunction
    • RuleCompareFunction()
    • compare
    • minQuality
• File rule_induction.hpp
  • IRuleInduction
    • ~IRuleInduction()
    • induceDefaultRule()
    • induceRule()
  • IRuleInductionFactory
    • ~IRuleInductionFactory()
    • create()
  • IRuleInductionConfig
    • ~IRuleInductionConfig()
    • createRuleInductionFactory()
• File rule_induction_top_down_beam_search.hpp
  • IBeamSearchTopDownRuleInductionConfig
    • ~IBeamSearchTopDownRuleInductionConfig()
    • getBeamWidth()
    • setBeamWidth()
    • areFeaturesResampled()
    • setResampleFeatures()
    • getMinCoverage()
    • setMinCoverage()
    • getMinSupport()
    • setMinSupport()
    • getMaxConditions()
    • setMaxConditions()
    • getMaxHeadRefinements()
    • setMaxHeadRefinements()
    • arePredictionsRecalculated()
    • setRecalculatePredictions()
  • BeamSearchTopDownRuleInductionConfig
    • BeamSearchTopDownRuleInductionConfig()
    • getBeamWidth()
    • setBeamWidth()
    • areFeaturesResampled()
    • setResampleFeatures()
    • getMinCoverage()
    • setMinCoverage()
    • getMinSupport()
    • setMinSupport()
    • getMaxConditions()
    • setMaxConditions()
    • getMaxHeadRefinements()
    • setMaxHeadRefinements()
    • arePredictionsRecalculated()
    • setRecalculatePredictions()
    • createRuleInductionFactory()
    • ruleCompareFunction_
    • beamWidth_
    • resampleFeatures_
    • minCoverage_
    • minSupport_
    • maxConditions_
    • maxHeadRefinements_
    • recalculatePredictions_
    • ruleRefinementConfig_
    • rulePruningConfig_
    • postProcessorConfig_
• File rule_induction_top_down_greedy.hpp
  • IGreedyTopDownRuleInductionConfig
    • ~IGreedyTopDownRuleInductionConfig()
    • getMinCoverage()
    • setMinCoverage()
    • getMinSupport()
    • setMinSupport()
    • getMaxConditions()
    • setMaxConditions()
    • getMaxHeadRefinements()
    • setMaxHeadRefinements()
    • arePredictionsRecalculated()
    • setRecalculatePredictions()
  • GreedyTopDownRuleInductionConfig
    • GreedyTopDownRuleInductionConfig()
    • getMinCoverage()
    • setMinCoverage()
    • getMinSupport()
    • setMinSupport()
    • getMaxConditions()
    • setMaxConditions()
    • getMaxHeadRefinements()
    • setMaxHeadRefinements()
    • arePredictionsRecalculated()
    • setRecalculatePredictions()
    • createRuleInductionFactory()
    • ruleCompareFunction_
    • minCoverage_
    • minSupport_
    • maxConditions_
    • maxHeadRefinements_
    • recalculatePredictions_
    • ruleRefinementConfig_
    • rulePruningConfig_
    • postProcessorConfig_
• File rule_list.hpp
  • createRuleList()
  • IRuleList
    • ~IRuleList()
    • addDefaultRule()
    • addRule()
    • containsDefaultRule()
    • isDefaultRuleTakingPrecedence()
    • visit()
    • visitUsed()
  • RuleList
    • const_iterator
    • RuleList()
    • cbegin()
    • cend()
    • used_cbegin()
    • used_cend()
    • getNumRules()
    • getNumUsedRules()
    • setNumUsedRules()
    • addDefaultRule()
    • addRule()
    • containsDefaultRule()
    • isDefaultRuleTakingPrecedence()
    • visit()
    • visitUsed()
    • createBinaryPredictor()
    • createBinaryPredictor()
    • createSparseBinaryPredictor()
    • createSparseBinaryPredictor()
    • createScorePredictor()
    • createScorePredictor()
    • createProbabilityPredictor()
    • createProbabilityPredictor()
    • defaultRulePtr_
    • ruleList_
    • numUsedRules_
    • defaultRuleTakesPrecedence_
    • RuleList::Rule
      • Rule()
      • getBody()
      • getHead()
      • visit()
      • bodyPtr_
      • headPtr_
    • RuleList::ConstIterator
      • difference_type
      • value_type
      • pointer
      • reference
      • iterator_category
      • ConstIterator()
      • operator*()
      • operator++()
      • operator++()
      • operator+()
      • operator+=()
      • operator!=()
      • operator==()
      • operator-()
      • defaultRule_
      • iterator_
      • offset_
      • defaultRuleIndex_
      • index_
• File rule_model.hpp
  • IRuleModel
    • ~IRuleModel()
    • getNumRules()
    • getNumUsedRules()
    • setNumUsedRules()
    • createBinaryPredictor()
    • createBinaryPredictor()
    • createSparseBinaryPredictor()
    • createSparseBinaryPredictor()
    • createScorePredictor()
    • createScorePredictor()
    • createProbabilityPredictor()
    • createProbabilityPredictor()
• File rule_model_assemblage.hpp
  • IRuleModelAssemblage
    • ~IRuleModelAssemblage()
    • induceRules()
  • IRuleModelAssemblageFactory
    • ~IRuleModelAssemblageFactory()
    • create()
  • IRuleModelAssemblageConfig
    • ~IRuleModelAssemblageConfig()
    • createRuleModelAssemblageFactory()
• File rule_model_assemblage_sequential.hpp
  • SequentialRuleModelAssemblageConfig
    • SequentialRuleModelAssemblageConfig()
    • createRuleModelAssemblageFactory()
    • ruleInductionConfig_
    • defaultRuleConfig_
• File rule_pruning.hpp
  • IRulePruning
    • ~IRulePruning()
    • prune()
  • IRulePruningFactory
    • ~IRulePruningFactory()
    • create()
  • IRulePruningConfig
    • ~IRulePruningConfig()
    • createRulePruningFactory()
• File rule_pruning_irep.hpp
  • IrepConfig
    • IrepConfig()
    • createRulePruningFactory()
    • ruleCompareFunction_
• File rule_pruning_no.hpp
  • NoRulePruningConfig
    • createRulePruningFactory()
• File rule_refinement.hpp
  • IRuleRefinement
    • ~IRuleRefinement()
    • findRefinement()
    • findRefinement()
  • IRuleRefinementFactory
    • ~IRuleRefinementFactory()
    • create()
  • IRuleRefinementConfig
    • ~IRuleRefinementConfig()
    • createRuleRefinementFactory()
• File rule_refinement_statistics_based.hpp
  • StatisticsBasedRuleRefinementConfig
    • StatisticsBasedRuleRefinementConfig()
    • createRuleRefinementFactory()
    • multiThreadingConfig_
• File score_processor.hpp
  • ScoreProcessor
    • ScoreProcessor()
    • processScores()
    • headPtr_
• File score_vector.hpp
  • IScoreVector
    • BitVisitor
    • DenseVisitor
    • DenseBinnedVisitor
    • ~IScoreVector()
    • visit()
• File score_vector_binned_dense.hpp
  • DenseBinnedScoreVector
    • value_type
    • index_const_iterator
    • value_const_iterator
    • bin_index_iterator
    • bin_index_const_iterator
    • bin_value_iterator
    • bin_value_const_iterator
    • DenseBinnedScoreVector()
    • indices_cbegin()
    • indices_cend()
    • values_cbegin()
    • values_cend()
    • bin_indices_begin()
    • bin_indices_end()
    • bin_indices_cbegin()
    • bin_indices_cend()
    • bin_values_begin()
    • bin_values_end()
    • bin_values_cbegin()
    • bin_values_cend()
    • getNumElements()
    • setNumBins()
    • isPartial()
    • isSorted()
    • visit()
    • outputIndices_
    • sorted_
    • maxCapacity_
• File score_vector_bit.hpp
  • BitScoreVector
    • value_type
    • index_const_iterator
    • value_const_iterator
    • BitScoreVector()
    • indices_cbegin()
    • indices_cend()
    • values_cbegin()
    • values_cend()
    • getNumElements()
    • isPartial()
    • isSorted()
    • visit()
    • outputIndices_
    • sorted_
• File score_vector_dense.hpp
  • DenseScoreVector
    • value_type
    • index_const_iterator
    • value_iterator
    • value_const_iterator
    • DenseScoreVector()
    • indices_cbegin()
    • indices_cend()
    • values_begin()
    • values_end()
    • values_cbegin()
    • values_cend()
    • getNumElements()
    • isPartial()
    • isSorted()
    • visit()
    • outputIndices_
    • sorted_
• File statistics.hpp
  • IStatistics
    • ~IStatistics()
    • evaluatePrediction()
    • createSubset()
    • createSubset()
    • createSubset()
    • createSubset()
    • createSubset()
    • createSubset()
    • createSubset()
    • createSubset()
    • createSubset()
    • createSubset()
    • createSubset()
    • createSubset()
    • createSubset()
    • createSubset()
    • createSubset()
    • createSubset()
    • createWeightedStatistics()
    • createWeightedStatistics()
    • createWeightedStatistics()
    • createWeightedStatistics()
  • AbstractStatistics
    • AbstractStatistics()
    • ~AbstractStatistics()
    • getNumStatistics()
    • getNumOutputs()
    • statePtr_
• File statistics_provider.hpp
  • IStatisticsProvider
    • ~IStatisticsProvider()
    • get()
    • switchToRegularRuleEvaluation()
    • switchToPruningRuleEvaluation()
  • IClassificationStatisticsProviderFactory
    • ~IClassificationStatisticsProviderFactory()
    • create()
    • create()
  • IRegressionStatisticsProviderFactory
    • ~IRegressionStatisticsProviderFactory()
    • create()
    • create()
• File statistics_space.hpp
  • IStatisticsSpace
    • ~IStatisticsSpace()
    • getNumStatistics()
    • getNumOutputs()
  • AbstractStatisticsSpace
    • AbstractStatisticsSpace()
    • ~AbstractStatisticsSpace()
    • getNumStatistics()
    • getNumOutputs()
    • state_
• File statistics_state.hpp
  • IStatisticsState
    • score_type
    • ~IStatisticsState()
    • update()
    • update()
    • revert()
    • revert()
    • createUpdateCandidate()
• File statistics_subset.hpp
  • addStatisticsToVector()
  • addStatisticsToVector()
  • removeStatisticsFromVector()
  • removeStatisticsFromVector()
  • removeStatisticsFromVector()
  • setVectorToWeightedSumOfStatistics()
  • IStatisticsSubset
    • ~IStatisticsSubset()
    • hasNonZeroWeight()
    • addToSubset()
    • calculateScores()
  • AbstractStatisticsSubset
    • AbstractStatisticsSubset()
    • ~AbstractStatisticsSubset()
    • hasNonZeroWeight()
    • addToSubset()
    • state_
    • sumVector_
    • weights_
    • outputIndices_
    • hasNonZeroWeightInternally()
    • hasNonZeroWeightInternally()
    • addStatisticToSubsetInternally()
    • addStatisticToSubsetInternally()
• File statistics_subset_resettable.hpp
  • IResettableStatisticsSubset
    • ~IResettableStatisticsSubset()
    • resetSubset()
    • calculateScoresAccumulated()
    • calculateScoresUncovered()
    • calculateScoresUncoveredAccumulated()
• File statistics_update.hpp
  • IStatisticsUpdate
    • ~IStatisticsUpdate()
    • applyPrediction()
    • revertPrediction()
  • IStatisticsUpdateFactory
    • ~IStatisticsUpdateFactory()
    • create()
    • create()
• File statistics_update_candidate.hpp
  • IStatisticsUpdateCandidate
    • BitVisitor
    • DenseVisitor
    • DenseBinnedVisitor
    • visit()
• File statistics_update_candidate_common.hpp
  • AbstractStatisticsUpdateCandidate
    • AbstractStatisticsUpdateCandidate()
    • ~AbstractStatisticsUpdateCandidate()
    • visit()
    • invokeVisitor()
    • invokeVisitor()
    • invokeVisitor()
    • invokeVisitor()
    • invokeVisitor()
    • invokeVisitor()
    • invokeVisitor()
    • invokeVisitor()
    • invokeVisitor()
    • invokeVisitor()
    • scoreVector_
    • AbstractStatisticsUpdateCandidate::StatisticsUpdate
      • StatisticsUpdate()
      • applyPrediction()
      • revertPrediction()
      • state_
      • indicesBegin_
      • indicesEnd_
      • scoresBegin_
      • scoresEnd_
    • AbstractStatisticsUpdateCandidate::StatisticsUpdateFactory
      • StatisticsUpdateFactory()
      • create()
      • create()
      • state_
• File statistics_weighted.hpp
  • IWeightedStatistics
    • ~IWeightedStatistics()
    • copy()
    • resetCoveredStatistics()
    • addCoveredStatistic()
    • removeCoveredStatistic()
    • createSubset()
    • createSubset()
  • AbstractWeightedStatistics
    • AbstractWeightedStatistics()
    • AbstractWeightedStatistics()
    • ~AbstractWeightedStatistics()
    • resetCoveredStatistics()
    • addCoveredStatistic()
    • removeCoveredStatistic()
    • weights_
    • totalSumVector_
• File stopping_criterion.hpp
  • IStoppingCriterion
    • ~IStoppingCriterion()
    • test()
    • IStoppingCriterion::Result
      • Result()
      • stop
      • numUsedRules
  • IStoppingCriterionFactory
    • ~IStoppingCriterionFactory()
    • create()
    • create()
  • IStoppingCriterionConfig
    • ~IStoppingCriterionConfig()
    • createStoppingCriterionFactory()
• File stopping_criterion_list.hpp
  • StoppingCriterionListFactory
    • addStoppingCriterionFactory()
    • create()
    • create()
    • stoppingCriterionFactories_
• File stopping_criterion_no.hpp
  • NoStoppingCriterionConfig
    • createStoppingCriterionFactory()
• File stopping_criterion_size.hpp
  • ISizeStoppingCriterionConfig
    • ~ISizeStoppingCriterionConfig()
    • getMaxRules()
    • setMaxRules()
  • SizeStoppingCriterionConfig
    • SizeStoppingCriterionConfig()
    • getMaxRules()
    • setMaxRules()
    • createStoppingCriterionFactory()
    • maxRules_
• File stopping_criterion_time.hpp
  • ITimeStoppingCriterionConfig
    • ~ITimeStoppingCriterionConfig()
    • getTimeLimit()
    • setTimeLimit()
  • TimeStoppingCriterionConfig
    • TimeStoppingCriterionConfig()
    • getTimeLimit()
    • setTimeLimit()
    • createStoppingCriterionFactory()
    • timeLimit_
• File stratified_sampling_example_wise.hpp
  • ExampleWiseStratification
    • ExampleWiseStratification()
    • sampleWeights()
    • sampleWeights()
    • sampleBiPartition()
    • rngPtr_
    • numTotal_
    • order_
• File stratified_sampling_output_wise.hpp
  • LabelWiseStratification
    • LabelWiseStratification()
    • sampleWeights()
    • sampleWeights()
    • sampleBiPartition()
    • rngPtr_
    • stratificationMatrix_
• File strings.hpp
  • util
    • convertToLowerCase()
    • replaceRegex()
    • replaceWhitespace()
• File threads.hpp
  • util
    • getNumAvailableCpuCores()
    • getNumAvailableThreads()
• File types.hpp
  • int32
  • int64
  • uint8
  • uint16
  • uint32
  • float32
  • float64
  • isEqual()
  • isEqual()
  • isEqual()
  • isEqualToZero()
• File validation.hpp
  • util
    • assertGreater()
    • assertGreaterOrEqual()
    • assertLess()
    • assertLessOrEqual()
    • assertMultiple()
• File vector_bit.hpp
  • BitVector
    • BitVector()
    • BitVector()
• File vector_dense.hpp
  • DenseVectorDecorator
  • DenseVector
    • DenseVector()
    • DenseVector()
  • ResizableDenseVector
    • ResizableDenseVector()
• File vector_dok_binary.hpp
  • AllocatedBinaryDokVector
  • BinaryDokVector
    • index_type
    • index_const_iterator
    • BinaryDokVector()
    • BinaryDokVector()
    • BinaryDokVector()
    • ~BinaryDokVector()
    • indices_cbegin()
    • indices_cend()
    • operator[]()
    • set()
    • getNumIndices()
    • clear()
    • indices_
  • BinaryDokVectorAllocator
    • BinaryDokVectorAllocator()
    • BinaryDokVectorAllocator()
    • BinaryDokVectorAllocator()
    • ~BinaryDokVectorAllocator()
• File vector_sparse_array.hpp
  • SparseArrayVector
  • ResizableSparseArrayVector
• File vector_sparse_array_binary.hpp
  • BinarySparseArrayVector
  • ResizableBinarySparseArrayVector
• File view.hpp
  • AllocatedView
  • BaseView
    • value_type
    • BaseView()
    • BaseView()
    • BaseView()
    • BaseView()
    • ~BaseView()
    • release()
    • array
  • View
    • const_iterator
    • iterator
    • View()
    • View()
    • View()
    • View()
    • ~View()
    • cbegin()
    • begin()
    • operator[]()
    • operator[]()
  • Allocator
    • Allocator()
    • Allocator()
    • Allocator()
    • ~Allocator()
  • ResizableAllocator
    • ResizableAllocator()
    • ResizableAllocator()
    • ResizableAllocator()
    • ~ResizableAllocator()
    • resize()
    • maxCapacity
  • ViewDecorator
    • view_type
    • ViewDecorator()
    • ~ViewDecorator()
    • getView()
    • getView()
    • view
  • IndexableViewDecorator
    • const_iterator
    • iterator
    • IndexableViewDecorator()
    • ~IndexableViewDecorator()
    • cbegin()
    • begin()
    • operator[]()
    • operator[]()
  • ClearableViewDecorator
    • ClearableViewDecorator()
    • ~ClearableViewDecorator()
    • clear()
• File view_composite.hpp
  • CompositeView
    • first_view_type
    • second_view_type
    • CompositeView()
    • CompositeView()
    • CompositeView()
    • ~CompositeView()
    • firstView
    • secondView
• File view_compressed.hpp
  • CompressedView
    • index_type
    • CompressedView()
    • CompressedView()
    • CompressedView()
    • ~CompressedView()
    • releaseIndices()
    • releaseIndptr()
    • indices
    • indptr
• File view_functions.hpp
  • util
    • setViewToZeros()
    • setViewToValue()
    • setViewToIncreasingValues()
    • copyView()
    • addToView()
    • addToViewWeighted()
    • addToView()
    • addToViewWeighted()
    • removeFromView()
    • removeFromViewWeighted()
    • setViewToDifference()
    • setViewToDifference()
    • hashView()
    • compareViews()
• File view_matrix.hpp
  • Matrix
    • Matrix()
    • Matrix()
    • Matrix()
    • ~Matrix()
    • numRows
    • numCols
  • MatrixDecorator
    • MatrixDecorator()
    • ~MatrixDecorator()
    • getNumRows()
    • getNumCols()
• File view_matrix_c_contiguous.hpp
  • AllocatedCContiguousView
  • CContiguousView
    • const_row
    • row
    • CContiguousView()
    • CContiguousView()
    • CContiguousView()
    • ~CContiguousView()
    • operator[]()
    • operator[]()
    • values_cbegin()
    • values_cend()
    • values_begin()
    • values_end()
• File view_matrix_composite.hpp
  • CompositeMatrix
    • CompositeMatrix()
    • CompositeMatrix()
    • CompositeMatrix()
    • ~CompositeMatrix()
    • clear()
• File view_matrix_csc.hpp
  • CscView
    • CscView()
    • CscView()
    • CscView()
    • ~CscView()
    • values_cbegin()
    • values_cend()
    • indices_cbegin()
    • indices_cend()
    • values_begin()
    • values_end()
    • indices_begin()
    • indices_end()
    • getNumDenseElements()
• File view_matrix_csc_binary.hpp
  • AllocatedBinaryCscView
  • BinaryCscView
    • const_column
    • column
    • BinaryCscView()
    • BinaryCscView()
    • BinaryCscView()
    • ~BinaryCscView()
    • operator[]()
    • operator[]()
    • indices_cbegin()
    • indices_cend()
    • indices_begin()
    • indices_end()
    • getNumDenseElements()
  • BinaryCscViewAllocator
    • BinaryCscViewAllocator()
    • BinaryCscViewAllocator()
    • BinaryCscViewAllocator()
    • ~BinaryCscViewAllocator()
• File view_matrix_csr.hpp
  • CsrView
    • CsrView()
    • CsrView()
    • CsrView()
    • ~CsrView()
    • values_cbegin()
    • values_cend()
    • indices_cbegin()
    • indices_cend()
    • values_begin()
    • values_end()
    • indices_begin()
    • indices_end()
    • getNumDenseElements()
• File view_matrix_csr_binary.hpp
  • AllocatedBinaryCsrView
  • BinaryCsrView
    • const_row
    • row
    • BinaryCsrView()
    • BinaryCsrView()
    • BinaryCsrView()
    • ~BinaryCsrView()
    • operator[]()
    • operator[]()
    • indices_cbegin()
    • indices_cend()
    • indices_begin()
    • indices_end()
    • getNumDenseElements()
  • BinaryCsrViewAllocator
    • BinaryCsrViewAllocator()
    • BinaryCsrViewAllocator()
    • BinaryCsrViewAllocator()
    • ~BinaryCsrViewAllocator()
• File view_matrix_dense.hpp
  • DenseMatrix
    • value_const_iterator
    • value_iterator
    • DenseMatrix()
    • DenseMatrix()
    • DenseMatrix()
    • ~DenseMatrix()
    • clear()
  • DenseMatrixAllocator
    • DenseMatrixAllocator()
    • DenseMatrixAllocator()
    • DenseMatrixAllocator()
    • ~DenseMatrixAllocator()
  • IterableDenseMatrixDecorator
    • value_const_iterator
    • value_iterator
    • IterableDenseMatrixDecorator()
    • ~IterableDenseMatrixDecorator()
    • values_cbegin()
    • values_cend()
    • values_begin()
    • values_end()
• File view_matrix_fortran_contiguous.hpp
  • AllocatedFortranContiguousView
  • FortranContiguousView
    • const_column
    • column
    • FortranContiguousView()
    • FortranContiguousView()
    • FortranContiguousView()
    • ~FortranContiguousView()
    • operator[]()
    • operator[]()
    • values_cbegin()
    • values_cend()
    • values_begin()
    • values_end()
• File view_matrix_lil.hpp
  • AllocatedListOfLists
  • ListOfLists
    • value_type
    • value_const_iterator
    • value_iterator
    • const_row
    • row
    • ListOfLists()
    • ListOfLists()
    • ListOfLists()
    • ~ListOfLists()
    • operator[]()
    • operator[]()
    • values_cbegin()
    • values_cend()
    • values_begin()
    • values_end()
    • release()
    • array
  • ListOfListsAllocator
    • ListOfListsAllocator()
    • ListOfListsAllocator()
    • ListOfListsAllocator()
    • ~ListOfListsAllocator()
  • IterableListOfListsDecorator
    • value_const_iterator
    • value_iterator
    • const_row
    • row
    • IterableListOfListsDecorator()
    • ~IterableListOfListsDecorator()
    • operator[]()
    • operator[]()
    • values_cbegin()
    • values_cend()
    • values_begin()
    • values_end()
• File view_matrix_sparse.hpp
  • SparseMatrix
    • value_type
    • value_const_iterator
    • value_iterator
    • SparseMatrix()
    • SparseMatrix()
    • SparseMatrix()
    • ~SparseMatrix()
    • releaseValues()
    • values
    • sparseValue
  • IterableSparseMatrixDecorator
    • value_const_iterator
    • value_iterator
    • IterableSparseMatrixDecorator()
    • ~IterableSparseMatrixDecorator()
    • values_cbegin()
    • values_cend()
    • values_begin()
    • values_end()
• File view_matrix_sparse_binary.hpp
  • BinarySparseMatrix
    • index_const_iterator
    • index_iterator
    • BinarySparseMatrix()
    • BinarySparseMatrix()
    • BinarySparseMatrix()
    • ~BinarySparseMatrix()
  • IterableBinarySparseMatrixDecorator
    • index_const_iterator
    • index_iterator
    • IterableBinarySparseMatrixDecorator()
    • ~IterableBinarySparseMatrixDecorator()
    • indices_cbegin()
    • indices_cend()
    • indices_begin()
    • indices_end()
    • getNumDenseElements()
• File view_matrix_sparse_set.hpp
  • SparseSetView
    • value_type
    • value_const_iterator
    • value_iterator
    • const_row
    • row
    • SparseSetView()
    • SparseSetView()
    • ~SparseSetView()
    • operator[]()
    • operator[]()
    • values_cbegin()
    • values_cend()
    • values_begin()
    • values_end()
    • clear()
    • MAX_INDEX
  • IterableSparseSetViewDecorator
    • value_const_iterator
    • value_iterator
    • const_row
    • row
    • IterableSparseSetViewDecorator()
    • ~IterableSparseSetViewDecorator()
    • operator[]()
    • operator[]()
    • values_cbegin()
    • values_cend()
    • values_begin()
    • values_end()
• File view_vector.hpp
  • AllocatedVector
  • ResizableVector
  • Vector
    • Vector()
    • Vector()
    • Vector()
    • Vector()
    • ~Vector()
    • cend()
    • end()
    • clear()
    • numElements
    • Vector::Hash
      • operator()()
    • Vector::Equal
      • operator()()
  • VectorDecorator
    • VectorDecorator()
    • ~VectorDecorator()
    • getNumElements()
  • IterableVectorDecorator
    • IterableVectorDecorator()
    • ~IterableVectorDecorator()
    • cend()
    • end()
  • ResizableVectorDecorator
    • ResizableVectorDecorator()
    • ~ResizableVectorDecorator()
    • setNumElements()
• File view_vector_binned.hpp
  • BinnedVectorDecorator
    • BinnedVectorDecorator()
    • ~BinnedVectorDecorator()
    • getNumBins()
• File view_vector_bit.hpp
  • AllocatedBitVector
  • BitView
    • bit_const_iterator
    • BitView()
    • BitView()
    • BitView()
    • ~BitView()
    • bits_cbegin()
    • bits_cend()
    • get()
    • set()
    • numBits
    • BITS_PER_ELEMENT
    • calculateNumElements()
    • calculateOffset()
    • createBitMask()
    • BitView::ConstIterator
      • difference_type
      • value_type
      • pointer
      • reference
      • iterator_category
      • ConstIterator()
      • operator[]()
      • operator*()
      • operator++()
      • operator++()
      • operator--()
      • operator--()
      • operator!=()
      • operator==()
      • operator-()
      • view_
      • index_
  • BitVectorAllocator
    • BitVectorAllocator()
    • BitVectorAllocator()
    • BitVectorAllocator()
    • ~BitVectorAllocator()
  • BitVectorDecorator
    • BitVectorDecorator()
    • ~BitVectorDecorator()
    • getNumElements()
  • IndexableBitVectorDecorator
    • IndexableBitVectorDecorator()
    • ~IndexableBitVectorDecorator()
    • operator[]()
    • set()
• File view_vector_composite.hpp
  • CompositeVector
    • CompositeVector()
    • CompositeVector()
    • CompositeVector()
    • ~CompositeVector()
    • clear()
• File view_vector_compressed.hpp
  • CompressedVector
    • index_const_iterator
    • index_iterator
    • CompressedVector()
    • CompressedVector()
    • CompressedVector()
    • ~CompressedVector()
    • indices_cbegin()
    • indices_cend()
    • indices_begin()
    • indices_end()
    • numBins
• File view_vector_indexed.hpp
  • IndexedVectorDecorator
    • index_type
    • value_type
    • IndexedVectorDecorator()
    • ~IndexedVectorDecorator()
    • getNumElements()
  • IterableIndexedVectorDecorator
    • index_const_iterator
    • value_const_iterator
    • index_iterator
    • value_iterator
    • IterableIndexedVectorDecorator()
    • ~IterableIndexedVectorDecorator()
    • indices_cbegin()
    • indices_cend()
    • values_cbegin()
    • values_cend()
    • indices_begin()
    • indices_end()
    • values_begin()
    • values_end()
• File view_vector_sparse_set.hpp
  • SparseSetVector
    • value_type
    • const_iterator
    • iterator
    • SparseSetVector()
    • SparseSetVector()
    • SparseSetVector()
    • ~SparseSetVector()
    • cbegin()
    • cend()
    • begin()
    • end()
    • operator[]()
    • operator[]()
    • emplace()
    • emplace()
    • erase()
    • clear()
    • releaseValues()
    • releaseIndices()
    • values
    • indices
    • numElements
    • MAX_INDEX
• File weight_sampling.hpp
  • sampleWeightsWithoutReplacementViaTrackingSelection()
  • sampleWeightsWithoutReplacementViaPool()
  • sampleWeightsWithoutReplacement()
• File weight_vector.hpp
  • IWeightVector
    • ~IWeightVector()
    • hasZeroWeights()
    • createFeatureSubspace()
• File weight_vector_bit.hpp
  • BitWeightVector
    • weight_type
    • BitWeightVector()
    • getNumElements()
    • operator[]()
    • set()
    • clear()
    • getNumNonZeroWeights()
    • setNumNonZeroWeights()
    • hasZeroWeights()
    • createFeatureSubspace()
    • vector_
    • numNonZeroWeights_
• File weight_vector_dense.hpp
  • DenseWeightVector
    • weight_type
    • DenseWeightVector()
    • set()
    • getNumNonZeroWeights()
    • setNumNonZeroWeights()
    • hasZeroWeights()
    • createFeatureSubspace()
    • numNonZeroWeights_
• File weight_vector_equal.hpp
  • EqualWeightVector
    • weight_type
    • const_iterator
    • EqualWeightVector()
    • cbegin()
    • cend()
    • getNumElements()
    • getNumNonZeroWeights()
    • operator[]()
    • hasZeroWeights()
    • createFeatureSubspace()
    • numElements_
• File weight_vector_out_of_sample.hpp
  • OutOfSampleWeightVector
    • weight_type
    • OutOfSampleWeightVector()
    • getNumElements()
    • operator[]()
    • vector_