Namespace Syncfusion.PMML
Classes
| Aggregate
Represents the properties for Aggregate transformation |
| Application
Represents the properties for Application element and its attributes |
| Apply
Represents the methods and properties for Apply transformation |
| ArrayClass
Represents the properties and methods for ArrayClass element and its attributes |
| AssociationModelResult
Represents the association rule model results |
| AssociationRule
Represents the properties for AssociationRule element and its attributes |
| AssociationRulesModel
Represents the methods and properties for AssociationRuleModel element and its attributes |
| AssociationRulesModelEvaluator
Represent the evaluator for Association Rule Model |
| BaseCumHazardTables
Represents the properties for BaseCumHazardTables element and its attributes |
| BaselineCell
Represents the properties for BaseLineCell element and its attributes |
| BaselineStratum
Represents the properties for BaseLineStratum element and its attributes |
| BayesInput
Represents the methods and properties for BayesInput element and its attributes |
| BayesInputs
Represents the methods and properties for BayesInput element collection |
| BayesOutput
Represents the methods and properties for BayesOutput element and its attributes |
| BinarySimilarity
Represents properties for BinarySimilarity - comparison measure |
| CategoricalPredictor
Represents the properties for CategoricalPredictor element and its attributes |
| Categories
Represents the properties of categories |
| Category
Represents the properties of category |
| Chebychev
Represents properties for Chebychev - comparison measure |
| CityBlock
Represents properties for CityBlock - comparison measure |
| Cluster
Represents the methods and properties of Cluster element and its attributes |
| ClusteringArray
Represents the methods and properties of Array element and its attributes |
| ClusteringField
Represents the properties of ClusteringField element and its attributes |
| ClusteringModel
Represents the methods and properties of ClusteringModel element and its attributes |
| ClusteringModelEvaluator
Represents the evaluator for Clustering Model |
| Coefficient
Represents the properties for Coefficient element and its attributes |
| Coefficients
Represents the methods and properties for Coefficients element collection |
| ComparisonMeasure
Represents the methods and properties of ComparisonMeasure element and its attributes |
| CompoundPredicate
Represents the properties and methods for CompoundPredicate element and its attributes |
| Connection
Represents the methods and properties for Connection element and its attributes |
| Constant
Represents the methods and properties for Constant transformation |
| Constraints
Represents the methods and properties for Constraints element and its attributes |
| CovariateList
Represents the properties and methods for CovariateList element and its attributes |
| DataDictionary
Represents the methods and properties for DataDictionary element and its attributes |
| DataField
Represents the methods and properties for DataField element and its attributes |
| DataFieldValue
Represents the methods and properties for DataField - Value |
| Decision
Represents the methods and properties for Decision element and its attributes |
| Decisions
Represents the methods and properties for DataField element collection |
| DefineFunction
Represents the methods and properties for DefineFunction element and its attibutes |
| Delimiter
Represents the methods and properties for Delimiter element and its attributes |
| DerivedField
Represents the properties and methods for DerivedField element and its attributes |
| Discretize
Represents the methods and properties for Discretize element and its attributes |
| DiscretizeBin
Represents the methods and properties for DiscretizeBin element and its attributes |
| Euclidean
Represents properties for Euclidean - comparison measure |
| Extension
Represents the methods and properties for Extension element and its attributes |
| FactorElements
Represents the properties and methods for FactorElements and its attributes |
| FieldColumnPair
Represents the properties for FieldColumnPair element and its attributes |
| FieldReference
Represents the properties for FieldReference element and its attributes |
| GaussianDistribution
Represents the properties for GaussianDistribution element and its attributes |
| GeneralRegressionModel
Represents the properties and methods for GeneralRegressionModel element and its attributes |
| GeneralRegressionModelEvaluator
Represents the evaluator for General Regression Model. |
| GeneralRegressionOptions
Represents the options to consider for Support vector machine Model |
| Header
Represents the properties for Header element and its attributes |
| InlineTable
Represents the properties and methods for InlineTable element and its attributes |
| InstanceField
Represents the properties for InstanceField attributes |
| InstanceFields
Represents the methods and properties for InstanceFields element |
| Interval
Represents the methods and properties for Interval element and its attributes |
| Item
Represents the properties for AssociationRule Item element and its attributes |
| ItemRef
Represents the properties for AssociationRule ItemRef element and its attributes |
| Itemset
Represents the methods and properties for AssociationRule Itemset element and its attributes |
| Jaccard
Represents properties for Jaccard - comparison measure |
| KNNInput
Represents the properties for KNNInput attributes |
| KNNInputs
Represents the methods and properties for KNNInputs element |
| KohonenMap
Represents the properties of KohonenMap element and its attributes |
| LinearNorm
Represents the properties for LinearNorm element and its attributes |
| LinearSVM
Represents the methods for Linear SVM technique |
| LocalTransformations
Represents the properties and methods for LocalTransformations element and its attibutes |
| MapValues
Represents the properties and methods for MapValues element and its attributes |
| Matrix
Represents the properties for Matrix element and its attributes |
| MiningField
Represents the properties and methods for MiningField element and its attributes |
| MiningModel
Represents the methods and properties for MiningModel element and its attributes |
| MiningModelEvaluator
Represents the evaluator for Mining Model or Random forest Model |
| MiningModelHelper
Represents the helper methods for Mining model |
| MiningSchema
Represents the properties and methods for MiningSchema element and its attributes |
| Minkowski
Represents properties for Minkowski - comparison measure |
| MissingValueWeights
Represents the properties and methods for MissingValueWeights element and its attributes |
| Model
Represents the properties for Model element and its attributes |
| MultinomialRegression
Represents the methods for Multinomial regression technique |
| NaiveBayesModel
Represents the methods and properties for NaiveBayesModel element and its attributes |
| NaiveBayesModelEvaluator
Represents the evaluator of Naive Bayes model |
| NaiveBayesOptions
Represents the options to consider for Naïve Bayes Model |
| NearestNeighborModel
Represents the methods and properties for NearestNeighborModel element |
| NearestNeighborModelEvaluator |
| NeuralInput
Represents the methods and properties for NeuralInput element and its attributes |
| NeuralInputs
Represents the methods and properties for NeuralInputs element and its attributes |
| NeuralLayer
Represents the methods and properties for NeuralLayer element and its attributes |
| NeuralNetworkModel
Represents the methods and properties for NeuralNetworkModel element and its attributes |
| NeuralNetworkModelClassification
Represents the methods for Neural Network Model classification. |
| NeuralNetworkModelEvaluator
Represents the evaluator for Neural network model |
| NeuralNetworkModelHelper
Represents the helper methods for Neural network model |
| NeuralNetworkModelRegression
Represents the methods for Neural Network Model regression. |
| NeuralNetworkOptions
Represents the options to consider for Neural network Model |
| NeuralOutput
Represents the methods and properties for NeuralOutput element and its attributes |
| NeuralOutputs
Represents the methods and properties for NeuralOutputs element collection |
| Neuron
Represents the methods and properties for Neuron element and its attributes |
| Node
Represents the properties and methods for Node element and its attributes |
| NormContinuous
Represents the properties and methods for NormContinuous element and its attributes |
| NormDiscrete
Represents the properties for NormDiscrete element and its attributes |
| NumericPredictor
Represents the properties for NumericPredictor element and its attributes |
| Output
Represents the methods and properties for Output element and its attributes |
| OutputField
Represents the methods and properties for OutputField element and its attributes |
| PairCounts
Represents the methods and properties for PairCounts element and its attributes |
| Parameter
Represents the properties for Paramter element and its attributes |
| ParameterField
Represents the properties for ParameterField element and its attributes |
| ParameterList
Represents the properties and methods for ParameterList element collection |
| ParamMatrix
Represents the properties and methods for ParamMatrix element and its attributes |
| ParamMatrixCell
Represents the properties for ParamatrixCell element and its attributes |
| PMMLDocument
Represents the object model for PMML document. |
| PMMLEvaluator
Represents the base methods and properties for all Model Evaluators. |
| PMMLEvaluatorFactory
Represents method to instantiate respective PMML Evaluator |
| PolynomialKernelType
Represents the properties for PolynomialKernelType |
| Predicate
Represents the properties for Predicate element and its attributes |
| PredictedResult
Represents the predicted result and its probabilities |
| PredictiveModelQuality
Represents the methods and properties for PredictiveModelQuality element and its attributes |
| Predictor
Represents the properties for Predictor element and its attributes |
| PredictorTerm
Represents the methods and properties for PredictorTerm element and its attributes |
| PredictorToParameterCell
Represents the properties for PredictorToParameterCell element and its attributes |
| PredictorToParameterMatrix
Represents the properties and methods for PredictorToParameterMatrix element and its attributes |
| ProbabilityParameter
Represents the properties for ProbabilityParameter element and its attributes |
| RadialBasisKernelType
Represents the properties for RadialBasisKernelType |
| RealSparseArray
Represents the properties for RealSparseArray element and its attributes |
| RegressionModel
Represents the methods and properties for RegressionModel element and its attributes |
| RegressionModelEvaluator
Represents the evaluator for Regression model. |
| RegressionTable
Represents the methods and properties for RegressionTable element and its attributes |
| ResponseCategory
Represents the properties for ResponseCategory element and its attributes |
| Row
Represents the properties for Row element and its attributes |
| RuleSelectionMethod
Represents the properties for RuleSelectionMethod element and its attributes |
| RuleSet
Represents the properties and methods for RuleSet element and its attributes |
| RuleSetModel
Represents the methods and properties for RuleSetModel element and its attributes |
| RuleSetModelEvaluator
Represents the evaluator for Ruleset model |
| ScoreDistribution
Represents the methods and properties for ScoreDistribution element and its attributes |
| Segment
Represents the methods and properties for Segment element and its attributes |
| Segmentation
Represents the methods and properties for Segmentation element and its attributes |
| Sequence
Represents the methods and properties for Sequence element and its attributes |
| SequenceModel
Represents the methods and properties for SequenceModel element and its attributes |
| SequenceRule
Represents the methods and properties for SequenceRule element and its attributes |
| SequenceRuleModelEvaluator
Represents the evaluator for Sequence rule model |
| SetPredicate
Represents the methods and properties for SetPredicate element and its attributes |
| SetReference
Represents the methods and properties for SetReference element and its attributes |
| SigmoidKernelType
Represents the properties for SigmoidKernelType |
| SimpleMatching
Represents properties for SimpleMatching - comparison measure |
| SimplePredicate
Represents the methods and properties for SimplePredictate element and its attributes |
| SimpleRule
Represents the methods and properties for SimpleRule element and its attributes |
| SimpleSetPredicate
Represents the methods and properties for SimpleSetPredicate element and its attributes |
| SquaredEuclidean
Represents properties for SquaredEucidean - comparison measure |
| SupportVector
Represents the properties for SupportVector element and its attributes |
| SupportVectorMachine
Represents the methods and properties for SupportVectorMachine element and its attributes |
| SupportVectorMachineModel
Represents the methods and properties for SupportVectorMachineModel element and its attributes |
| SupportVectorMachineModelEvaluator
Represents the evaluator for Support Vector Machine Model |
| SupportVectorMachineOptions
Represents the options to consider for Support vector machine Model |
| SupportVectors
Represents the methods and properties for SupportVector element collection |
| Table
Class to read the data from CSV file and store it as Indexers. |
| TableLocator
Represents the properties for TableLocator element and its attributes |
| Tanimoto
Represents properties for Tanimoto - comparison measure |
| Target
Represents the methods and properties for Target element and its attributes |
| Targets
Represents the properties for Targets element and its attributes |
| TargetValueCount
Represents the properties for TargetValueCount element and its attributes |
| TargetValueCounts
Represents the methods and properties for TargetValueCount element collection |
| TargetValueStat
Represents the methods and properties for TargetValueStat element and its attributes |
| TargetValueStats
Represents the methods and properties for TargetValueStats element collection |
| TextIndex
Represents the methods and properties for TextIndex element and its attributes |
| TextIndexNormalization
Represents the properties of TextIndexNormalization element and its attributes |
| Time
Represents the methods and properties for Time element and its attributes |
| TrainingInstances
Represents the methods and properties for TrainingInstances elements and attributes |
| TransformationDictionary
Represents the methods and properties for TransformationDictionary element and its attributes |
| TreeModel
Represents the methods and properties for TreeModel element and its attributes |
| TreeModelEvaluator
Represents the evaluator for tree model |
| TreeModelResult
Represents the tree model results |
| True
Represents the methods and properties for True element and its attributes |
| VectorDictionary
Represents the methods and properties for VectorDictionary element and its attributes |
| VectorFields
Represents the methods and properties for VectorFields element collection |
| VectorInstance
Represents the properties for VectorInstance element and its attributes |
| XNode
Represents the properties for XNode element and its attributes |
| XNodeStats
Represents the properties for XNodeStats element and its attributes |
| XPredictorImportance
Represents the properties for XPredictorImportance element and its attributes |
| XPredictorImportanceList
Represents the properties for XPredictorImportanceList element and its attributes |
| XPriors
Represents the properties for XPriors element and its attributes |
| XPriorValue
Represents the properties for XPriorValue element and its attributes |
| XRegInfo
Represents the properties for XRegInfo element and its attributes |
| XTreeModel
Represents the properties for XTreeModel element and its attributes |
Interfaces
| IModelOptions
Represents the options to consider for respective PMMLEvaluator |
Enums
| ComparisonMeasureType |
| KernelType
Enum containing the types of kernel used in Support Vector Machine Model |
| MiningFieldFunction
Represents the enum for Mining Field function. |
| PMMLModel
Represents the enum for PMMLModel |
| PMMLValidationType
Represents the enum for PMML Validation type |
| PredictedDataType
Represents Predicted data type |
| RecommendationType
Represents the enum for Association Rule Recommendation type |