Syncfusion.PMML.Base

Represents the enum for Support vector Machine classiftcaion method type

Represents the enum for Association Rule Recommendation type

Represents the enum for PMML Validation type

Represents the enum for Mining Field function.

Enum containing the types of kernel used in Support Vector Machine Model

Represents the enum for PMMLModel

Represents the enum for General regression Link functions

Represents the enum for Regression Model types

Represent the evaluator for Association Rule Model

Represents the base methods and properties for all Model Evaluators.

Returns predicted result. Evaluates the given input against the scoring procedure of the PMML model and returns the predicted result.

anonymous object model options values, always null Returns the predicted result

Returns predicted result. Evaluates the given input against the scoring procedure of the PMML model and returns the predicted result.

Dictionary object model options values, always null Returns the predicted result

Returns predicted result. Evaluates the given input against the scoring procedure of the PMML model and returns the predicted result.

ExpandoObject data model options values, always null Returns the predicted result

Releases the memory occupied by objects

Gets / Sets the predicted result

Get/Set the helper

Get / Set the PMMLDocument.

Gets the PMMLModel

Gets or Sets the Culture Info for PMML Evaluator to evaluate the input data.

By default, Culture used by the current thread is set.

Get/Set the FieldValuePair(string,object)

Creates an Instance for AssociationRuleModelEvaluator

PMML file

Returns predicted result. Evaluates the given input against the scoring procedure of the Associate rule model and return the predicted result

object data model options values, always null Returns the predicted result

Evaluate the given transaction items

Object data recommended items

Returns highest confidence value for recommended items

recommended items previous confidence values confidence highest confidence for recommended items

Get the Item id collection input transaction items

input string array string collection

Represents the evaluator for Clustering Model

Creates an Instance for ClusteringModelEvaluator

PMML file

Returns predicted result. Evaluates the given input against the scoring procedure of the clustering model and returns the predicted result.

object data model options values, always null Returns the predicted result

Evaluates the Clustering Model Function

Single object Value Predicted results of single object

Evaluates the cluster similarity kind

Single object Value filtered using clustering fields Results of clusters Cluster values

Evaluates the cluster distance kind

Single object Value filtered using clustering fields Results of clusters Cluster values

Calculates the adjustment value of cluster

Single object Value adjusted value

Evaluates inner comparsion function of clustering field

InnerPower value Single array element Field name Field value Result of inner comparsion function

Gets the similarity flags for key,value pair

Single object value Flag values

Computes Comparison measures

Represents the evaluator for General Regression Model.

Create an Instance for General Regression model evaluator

PMMLDocument

Returns predicted result. Evaluates the given input against the scoring procedure of the General Regression model and returns the predicted result.

object data model options values, always null Returns the predicted result

Get the general regression link function

link function name

Process pmml function to predict the result

Single Object Value/ Single Row Values predicted Result values

MultinomialLogistic Formula Implementation

fieldValuePair MultinomialLogisticResults

ordinalMultinomial Formula Implemantation

fieldValuePair OrdinalResults

Gets the final predicted output

ordinalResults final predicted output

Get the generalized predicted output

link function name result for apply the generalization generalized value

Probit link function formula implementation

Least Square Value Predeicted probability

Calculate the Least square value

Single Object Value/ Single Row Values least square result

Calculate the probabilities

link function name least square value predicted field name probability values

Get the predicted outcome from calculated probabilities values

probabilities predicted outcome

Get the product of reference point estimates.

reference point estimate value

Outs the maximum and minimum time value

Single Object Value/ Single Row Values maximum time value minimum time value

Get the baseline Cumulative hazard value

Single Object Value/ Single Row Values maximum time mimimum time reference estimate value least square value coxProportion dictionary values

Represents the methods for mining model classification.

Creates an Instance for MiningModelClassification

PMML File

Computes Mining Model Classification function

Single Object Value Predicted results of single object

Evaluates Ensemble - Classification model methods

multiple model method segment Results predicted result

Represents the methods for mining model regression

Empty constructor

Creates an Instance for MiningModelRegression

PMML File

Computes Mining Model Regression function

Single Object Value Predicted results of single object

Evaluates Ensemble - Regression model methods

multiple model method segment Results predicted result

Returns the value of target Results

aggregated result result value

Assign output fields while output field present directly in the mining model

calculated result Input fields

Represents the evaluator for Mining Model or Random forest Model

Creates an Instance for MiningModelEvaluator

PMML file

Returns predicted result. Evaluates the given input against the scoring procedure of the random forest / mining model and returns the predicted result.

object data model options values, always null Returns the predicted result

Performs Mining Model computaion based on their function type

Single object Value Predicted results of single object

Represents the options to consider for respective PMMLEvaluator

Represents the options to consider for Naïve Bayes Model

Gets and sets the BinomialThreshold value for Naive Bayes model

Gets and sets the laplace value for Naïve Bayes model.

Represents the options to consider for Support vector machine Model

Gets and sets the Binomial Threshold value for Support vector machine model.

Represents the options to consider for Support vector machine Model

Gets and sets the Threshold value for General regression model.

Represents the options to consider for Neural network Model

Gets and sets the Threshold value for Neural network Model.

Represents the helper methods for Mining model

Creates an Instance for MiningModelHelper

PMML File

Evaluates the ensemble model collection

PMML model model Id multiple model method segment weight segment result collection fieldValuePair

Evaluates the ensemble model and obtains the results

PMML model model Id multiple model method segment weight segment result collection fieldValuePair

Evaluates segment and returns a Boolean value

Gets the segment values Gets fieldvalue pair dictionary values Returns a Boolean value

Evaluates the ensemble model collection

mining model - segment model Id multiple model method segment weight segment result collection fieldValuePair

Evaluates the ensemble model and obtains the results

mining model - segment model Id multiple model method segment weight segment result collection fieldValuePair

Gets regression model type

Regression model Regression model evaluator Regression model type

Adds the result of ensemble model to a collection

model's predicted result segment results collection segment weight

Represents the Segment Result

Gets the predicted result

Gets the segment weight value

Represents the evaluator of Naive Bayes model

Create instance for Naive Bayes Model Evaluator.

pmml Document object

Returns predicted result. Evaluates the given input against the scoring procedure of the Naive Bayes model and returns the predicted result.

object data Naive options values Returns the predicted result

Checks for Laplace and get the final computed probability from CalculateFinalProbability Laplace will be applied only the input record has '0' count otherwise applyLaplace sets to false i.e., Laplace cannot be applied for the input record

fieldValuePair collection boolean applyLaplace laplaceValue

Returns the collection of BayesOutput from Pmml Document

Gets the TargetValueCount and returns a double value else returns -1

inputField's Name inputField's Value outputKey Returns TargetValueCount/default(-1)

Computes formula using mean and variance for every Extension value from Pmml Document and returns a double value else returns 1

inputField's Name inputField's Value outputKey Computed Extension values/default(1)

Computes the PairCounts and returns a double value else returns -1

pair counts collection inputField's Value outputKey Returns PairCounts/default(-1)

Computes the TargetValueStats and returns a double value else returns -1

targetValueStats collection inputField's Value outputKey Returns TargetValueStats/default(1)

Computes formula using count for every BayesInput from Pmml Document

Collection of Laplace values laplace Constant value boolean value applyLaplace

Computes the final probability

Dictionary of Extensions

Overrides PMMLEvaluator Clears the variable's contents

Gets the partial computed formula for BayesInput

Gets the collection of BayesOutput values from Pmml Document

Creates an Instance for NearestNeighborModelEvaluator

PMML file

Returns predicted result. Evaluates the given input against the scoring procedure of the KNN model and returns the predicted result.

object data model options values, always null Returns the predicted result

Performs Nearest Neighbor Model computaion based on their function type

Single object Value Predicted results of single object

Computes Nearest Neighbor model's comparison measure

Single Object Value Predicted results of single object

Evaluates Distance measure of Nearest Neighbor model

rows within InlineTable element KNN inputs Comparison measure input values Predicted result of KNN inputs

Evaluates Similarity measure of Nearest Neighbor model

rows within InlineTable element KNN inputs Comparison measure input values Predicted result of KNN inputs

Evaluates Distance - Comparison measure of Nearest Neighbor model

Comparison KNN inputs input values instance values adjustment value distance measure value

Evaluates Similarity - Comparison measure of Nearest Neighbor model

Comparison KNN inputs input value flags instance value flags similarity measure value

Computes the Target/Predicted result

rows within InlineTable element nearest neighbor target values

Evaluates categorical target - scoring method

inline table rows nearest neighbor row keys predicted field categorical target result

Evaluates continuous target - scoring method

inline table rows nearest neighbor row keys predicted field continuous target result

Gets the adjustment value

input values Adjustment value

Gets the similarity flags

field value pair KNN inputs similarity flags

Evaluates inner compare function of KNN inputs

compare function field weight input field value instance field value inner power compare function result

Represents the methods for Neural Network Model classification.

Creates an Instance for NeuralNetworkModelClassification

PMML File

Computes Neural Network Model Classification function

Single Object Value Predicted results of single object

Represents the methods for Neural Network Model regression.

Creates an Instance for NeuralNetworkModelRegression

PMML File

Computes Neural Network Model Regression function

Single Object Value Predicted results of single object

Represents the evaluator for Neural network model

Creates an Instance for NeuralNetworkModelEvaluator

PMML file

Creates an Instance for NeuralNetworkModelEvaluator

PMML Document NeuralNetworModel object

Returns predicted result. Evaluates the given input against the scoring procedure of the neural network model and returns the predicted result.

object data model options values, always null Returns the predicted result

Computes the scoring procedure of neural network model and return the predicted result

input field, value pair neural network model Returns the predicted result

Performs Mining Model computaion based on their function type

Single object Value Predicted results of single object

Represents the helper methods for Neural network model

Creates an Instance for NeuralNetworkModelHelper

PMML File

Creates an Instance for NeuralNetworkModelHelper

PMML File Culture

Evaluates the neural input

field value pair Neuron values collection

Evaluates the neural layer

Neuron Value collection

Computes activation function

activation function initial result of neuron neural layer result of neuron

Computes normalization

method of normalization neuron value collection

Gets field of predicted/ output neuron

derived field in neural output output field

Apply transformations for neuron input

neuron value collection derived field field value pair field name mining field name Id of neural input

Represents the methods for Linear SVM technique

Creates Instance for LinearSVM

PMML Document

Creates Instance for LinearSVM

PMML Document Culture

Get RegressionTables

Regression Tables

Returns the Predicted Result for LinearSVM

Enumeration MiningFieldFunction fieldValuePair Collection Predicted Result

Returns the Result for LinearSVM

fieldValuePair collection result object

Compare Results

Data field and value Predicted Value

Compare and obtain output field matching results

Data field and value Regression model Predicted Value

Returns the NumericPredictor Coefficients as Key value (string,double) value

RegressionTable values coefficients as Dictionary(string,double)value

Represents the methods for Multinomial regression technique

Creates Instance for MultinomialRegression

PMML Document

Creates Instance for MultinomialRegression

PMML Document Culture

Get the result

MiningField Function Type Field Value Pair result as Dictionary

Calculate Multinomial Regression Result

Field Value Pair Predicted Result

Get RegressionTables

Regression Tables

Returns the NumericPredictor Coefficients as Key value (string,double) value

RegressionTable values coefficients as Dictionary(string,double)value

Returns the Categorical Predictor Coefficients as key value(string,double)value

RegressionTable values coefficients as Dictionary(string,double) value

Compare Results

Predicted Results Predicted Value

Compare and obtain output field matching results

Predicted Results Regression model Predicted Value

Represents the methods for ridge regression technique

Creates Instance for RidgeRegression

Culture Info

Get the single regression table from PMML

Regression Table

Returns the Predicted Result for RidgeRegression

Enumeration MiningFieldFunction fieldValuePair Collection Predicted Result

Returns the Result for SimpleRegressionResult

fieldValuePair collection result object

Returns the NumericPredictor Coefficients as Key value (string,double) value

RegressionTable values coefficients as Dictionary(string,double)value

Represents the classes, methods and properties for Syncfusion.PMML.Base library

Represents method to instantiate respective PMML Evaluator

Returns respective PMML Evaluator instance for the given PMML file.

Pmml FilePath Pmml Evaluator Instance

Returns respective PMML Evaluator instance for the given PMML file.

Pmml FilePath pmml validation type Pmml Evaluator Instance

Returns respective PMML Evaluator instance for the given PMML file stream.

Pmml FilePath Pmml Evaluator Instance

Returns respective PMML Evaluator instance for the given PMML file stream.

Pmml FilePath pmml validation type Pmml Evaluator Instance

Returns respective PMML Evaluator instance for the given text reader object.

Pmml FilePath Pmml Evaluator Instance

Returns respective PMML Evaluator instance for the given text reader object.

Pmml FilePath pmml validation type Pmml Evaluator Instance

Get Instance for PMMLModel

Represents the predicted result and its probabilities

Gets the predicted probability for the input category

Get the result values for all Output fields

Get the predicted probabilities for all categories as Key value pair

Method to get Predicted Field Names

predictedFields

Method to get the Recommended items

RecommendedItems

Method to get the Exclusive Recommended items

Exclusive Recommended Items

Method to get the Rules Associated Items

Rules associated items

Gets the Predicted field (Column) name

Gets the predicted value as double data type. It returns predicted value only when predicting numeric field.

Gets the predicted value as string data type. It returns predicted value only when predicting categorical field.

Gets the predicted value. It returns the predicted value as object data type.

Gets the predicted data type

Gets / Sets the output field result values

Gets / Sets the predicted probability. Represents the category and its calculated probability as key value pair.

Gets the PredictedRecommendations

Represents Predicted data type

Represents the tree model results

Gets the predicted node ID

Gets the traverse path of predicted value.

Represents the association rule model results

Method to get the confidence values of recommendation

recommendation type confidence values of recommendation

Gets the recommended items confidence value

Represents the methods for linear regression technique

Creates Instance for LinearRegression

PMML Document

Get the single regression table from PMML

Regression Table

Returns the exponent value of NumericPredictor

regression Table values Field Name Exponent value

Returns the Predicted Result for LinearRegression

Enumeration MiningFieldFunction fieldValuePair Collection Predicted Result

Returns the Result for SimpleRegressionResult

fieldValuePair collection result object

Returns the NumericPredictor Coefficients as Key value (string,double) value

RegressionTable values coefficients as Dictionary(string,double)value

Returns the Categorical Predictor Coefficients as key value(string,double)value

RegressionTable values coefficients as Dictionary(string,double) value

Represents the evaluator for Regression model.

Creates Instance for Regression model evaluator.

PMML Document

Creates Instance for Regression model evaluator.

PMML Document RegressionModel object

Returns predicted result. Evaluates the given input against the scoring procedure of the Regression model and returns the predicted result.

object data model options values, always null Returns the predicted result

Process the PMML function to predict the result

Enumeration RegressionModel Type Returns the Model's result

Returns the Regression Model’s Type

Model Name Returns RegressionModel Type

Calculate probability distribution function

least square value pdf value

Calculate complementary error function

absolute value complementary error function

calculate error function

error value error function value

Evaluates polynomial of degree

error value coefficient value count polynomial degree value

Evaluates polynomial of first degree

error value coefficient value count first polynomial degree value

Get the predicted outcome from calculated probabilities values

probabilities predicted outcome

Computes Support Vector Classification function

Creates an Instance for SupportVectorClassification

PMML File

Computes Support Vector Machine Classification Function

Single Object Value Real Entries Value Predicted results of single object

Gets the computed results of an appropriate kernel function

Normalized or Transformed Values Real Entries Value Predicted result of an appropriate kernel function

Gets the category of the predicted field

Result from kernel function Target category Alternate category Category of the output field

Computes Support Vector Regression function

Creates an Instance for SupportVectorRegression

PMML File

Computes Support Vector Machine Regression Function

Single Object Value Real Entries Value Predicted results of single object

Gets the computed results of an appropriate kernel function

Normalized or Transformed Values Real Entries Value Predicted result of an appropriate kernel function

Represents the methods for Support vector - kernel computation

Gets the CoefficientValue of the Support Vector Machine

List of support vectors Normalized inputs Real entries Coefficient of support vectors PMML File Appropriate kernels coefficient value

Gets the LinearKernel SupportVectors coefficient value

List of support vectors Normalized inputs Real entries Coefficient of support vectors LinearKernel SupportVectors coefficient value

Gets the PolynomialKernel SupportVectors coefficient value

List of support vectors Normalized inputs Real entries Coefficient of support vectors Gets the attributes of Polynomial Kernel Type element PolynomialKernel SupportVectors coefficient value

Gets the RadialKernel SupportVectors coefficient value

List of support vectors Normalized inputs Real entries Coefficient of support vectors Gets the attributes of Radial Kernel Type element RadialKernel SupportVectors coefficient value

Gets the SigmoidKernel SupportVectors coefficient value

List of support vectors Normalized inputs Real entries Coefficient of support vectors Gets the attributes of Sigmoid Kernel Type element SigmoidKernel SupportVectors coefficient value

Gets the kernel aggregated value

RealEntries Value Normalized Input List kernel aggregated value

Represents the evaluator for Support Vector Machine Model

Creates an Instance for SupportVectorMachineModelEvaluator

PMML file

Returns predicted result. Evaluates the given input against the scoring procedure of the support vector machine model and returns the predicted result.

object data model options values, always null Returns the predicted result

Compute and return predicted result based on function type for single input object

Single Object Value/ Single Row Values Predicted result of single object

Represents the evaluator for tree model

Create instance for the Tree model evaluator.

PMML document

Create instance for the Tree model evaluator.

PMML Document TreeModel object

Returns predicted result. Evaluates the given input against the scoring procedure of the Tree model and returns the predicted result.

object data model options values, always null Returns the predicted result

Returns the final predicted node

Gets the node values Gets fieldvalue pair dictionary values Returns the predicted node

Evaluates Node and returns a Boolean value

Gets the node values Gets fieldvalue pair dictionary values Returns a Boolean value

Evaluates Compound Predicate using its respective Boolean operator (AND, OR, XOR, Surrogate)

Gets the node values Gets fieldvalue pair dictionary values Returns a boolean value

Evaluates Simple and/or SimpleSet Predicate(s) and returns a Boolean value

Gets the predicate object value Gets fieldvalue pair dictionary values Returns a boolean value

Evaluates the Simple Predicate based on relational operators and returns a Boolean value.

Gets the field value Instance of SimplePredicate class Returns true if case satisfied, else false

Evaluates the SimpleSet Predicate based on relational operators and returns a Boolean value.

Gets the field value Instance of SimpleSetPredicate class Returns true if case satisfied, else false

Gets the leaf node’s score value and returns it

Gets the field value pair Pass the root node Returns the Predicted Result

Get the leaf node’s score value.

Gets the node values Returns the score value

Computes the traversed failed nodes (i.e. when all child nodes traverse fails)

Node Field value Predicted node among the failed nodes

Represents the evaluator for Ruleset model

Constructor

Pmml document values

Get the predicted result

object data >model options values Predicted Result

Evaluate the rules

field value pair Evaluated rule

Represents the evaluator for Sequence rule model

Creates an Instance for SequenceRuleModelEvaluator

PMML file

Returns predicted result. Evaluates the given input against the scoring procedure of the Sequence rule model and return the predicted result

object data model options values, always null Returns the predicted result

Evaluate the given transaction items

Object data object

Check the Sequence is subset or not

sequence collection Id Sequence element

Get the Item id collection input transaction items

input string array string collection

Represents the properties for AssociationRule element and its attributes

Get the Id Value

Get the Support Value

Get the Confidence value

Get the Affinity value

Get the Leverage value

Get the Lift Value

Get the Antecedent Value

Get the consequent value

Represents the methods and properties for AssociationRuleModel element and its attributes

Represents the properties for Model element and its attributes

Gets the Model Name

Gets the MiningFieldFunction value

Gets the Algorithm Name

Get the Output

Get the MiningSchema

Get the Item

Get the Itemset

Get the AssociationRule

Get the function name

Get the number of Transactions

Get the number of Items

Get the minimumsupport

Get the MinimumConfidence

Get the number of items

Get the number of rules

Represents the properties for AssociationRule Item element and its attributes

Gets the weight

Gets the mapped value

Gets the Id

Gets the Value

Represents the properties for AssociationRule ItemRef element and its attributes

Get the ItemRef

Represents the methods and properties for AssociationRule Itemset element and its attributes

Get the ItemRef

Gets the support

Get the Id

Get the number of items

Represents the methods and properties of Cluster element and its attributes

Disposes the objects

Gets the "Array" value

Gets the "KohonenMap" value

Gets the "name" value

Gets the "id" value

Gets the "size" value

Represents the properties of KohonenMap element and its attributes

Gets the "Coord1" value

Gets the "Coord2" value

Gets the "Coord3" value

Represents the methods and properties of Array element and its attributes

Gets the "n" value

Gets the "type" value

Gets the array elements

Represents the properties of ClusteringField element and its attributes

Gets the "field" value

Gets the "compareFunction" value

Gets and sets the "isCenterField" value

Gets and sets the "fieldWeight" value

Gets and sets the "similarityScale" value

Represents the methods and properties of ClusteringModel element and its attributes

Returns list of "Cluster" value

Cloned list of "Cluster"

Returns list of "ClusteringField" value

Cloned list of "ClusteringField"

Disposes the objects

Gets the "MiningSchema" value

Gets the "Output" value

Gets the "LocalTransformations" value

Gets the "ComparisonMeasure" value

Gets and sets the list of "ClusteringField" value

Gets and sets the list of "Cluster" value

Gets the "numberOfClusters" value

Gets the "modelClass" value

Gets and sets the "isScorable" value

Represents the methods and properties of ComparisonMeasure element and its attributes

Disposes the objects

Gets the "ComparisonMeasureType"

Gets the "Euclidean" value

Gets the "SquaredEuclidean" value

Gets the "BinarySimilarity" value

Gets the "Chebychev" value

Gets the "CityBlock" value

Gets the "Jaccard" value

Gets the "Minkowski" value

Gets the "SimpleMatching" value

Gets the "Tanimoto" value

Gets the "kind" value

Gets and sets the "compareFunction" value

Represents the properties and methods for MissingValueWeights element and its attributes

Represents properties for BinarySimilarity - comparison measure

Gets the "c00-paramter" value

Gets the "c01-paramter" value

Gets the "c10-paramter" value

Gets the "c11-paramter" value

Gets the "d00-paramter" value

Gets the "d01-paramter" value

Gets the "d10-paramter" value

Gets the "d11-paramter" value

Represents properties for Chebychev - comparison measure

Represents properties for CityBlock - comparison measure

Represents properties for Euclidean - comparison measure

Represents properties for Jaccard - comparison measure

Represents properties for Minkowski - comparison measure

Gets the "p-paramter" value

Represents properties for SimpleMatching - comparison measure

Represents properties for SquaredEucidean - comparison measure

Represents properties for Tanimoto - comparison measure

Represents the properties for BaseCumHazardTables element and its attributes

Gets the Base line cell list

Gets the Base line Stratum list

Gets the extension

Gets the maximum time

Represents the properties for BaseLineCell element and its attributes

Gets the extension

Gets the time

Gets the cumulative hazard value

Represents the properties for BaseLineStratum element and its attributes

Gets the extension

Gets the Base line cell list

Gets the value

Gets the label

Gets the maximum time

Represents the methods and properties for InstanceFields element

Returns list of "InstanceField" value

Cloned list of "InstanceField"

Disposes the objects

Gets and sets the list of "InstanceField" value

Represents the properties for InstanceField attributes

Gets the "field" value

Gets the "column" value

Represents the methods and properties for KNNInputs element

Returns list of "KNNInput" value

Cloned list of "KNNInput"

Disposes the objects

Gets and sets the list of "m_KNNInput" value

Represents the properties for KNNInput attributes

Gets the "field" value

Gets the "fieldWeight" value

Gets the "compareFunction" value

Represents the methods and properties for NearestNeighborModel element

Disposes the objects

Gets the "MiningSchema" value

Gets the "Output" value

Gets the "Targets" value

Gets the "LocalTransformations" value

Gets the "TrainingInstances" value

Gets the "ComparisonMeasure" value

Gets the "m_KNNInputs" value

Gets and sets the "numberOfNeighbors" value

Gets and sets the "continuousScoringMethod" value

Gets and sets the "categoricalScoringMethod" value

Gets and sets the "instanceIdVariable" value

Gets and sets the "threshold" value

Gets and sets the "isScorable" value

Represents the methods and properties for TrainingInstances elements and attributes

Disposes the objects

Gets the "InstanceFields" value

Gets the "InlineTable" value

Gets the "isTransformed" value

Gets the "recordCount" value

Gets the "fieldCount" value

Represents the methods and properties for Connection element and its attributes

Gets the "from" value

Gets the "weight" value

Represents the methods and properties for NeuralInput element and its attributes

Disposes the objects

Gets the "DerivedField" value

Gets the "id" value

Represents the methods and properties for NeuralInputs element and its attributes

Returns list of "NeuralInput" value

Cloned list of "NeuralInput"

Disposes the objects

Gets and sets the list of "NeuralInput" value

Gets the "numberOfInputs" value

Represents the methods and properties for NeuralLayer element and its attributes

Returns list of "Neuron" value

Cloned list of "Neuron"

Disposes the objects

Gets and sets the list of "Neuron" value

Gets the "numberOfNeurons" value

Gets the "numberOfNeurons" value

Gets the "activationFunction" value

Gets the "normalizationMethod" value

Gets and sets the "width" value

Gets and sets the "altitude" value

Represents the methods and properties for NeuralNetworkModel element and its attributes

Returns list of "NeuralLayer" value

Cloned list of "NeuralLayer"

Disposes the objects

Gets and sets the "Extension" elements value

Gets the "LocalTransformations" value

Gets the "MiningSchema" value

Gets the "Output" value

Gets the "NeuralInputs" value

Gets and sets the list of "NeuralLayer" value

Gets the "NeuralOutputs" value

Gets the "normalizationMethod" value

Gets the "numberOfLayers" value

Gets the "activationFunction" value

Gets the "threshold" value

Gets and sets the "width" value

Gets and sets the "altitude" value

Gets the "isScorable" value

Represents the methods and properties for NeuralOutput element and its attributes

Disposes the objects

Gets the "DerivedField" value

Gets the "outputNeuron" value

Represents the methods and properties for NeuralOutputs element collection

Returns list of "NeuralOutput" value

Cloned list of "NeuralOutput"

Disposes the objects

Gets and sets the list of "NeuralOutput" value

Gets the "numberOfOutputs" value

Represents the methods and properties for Neuron element and its attributes

Returns list of "Connection" value

Cloned list of "Connection"

Disposes the objects

Gets and sets the list of "Connection" value

Gets the "id" value

Gets the "bias" value

Gets and sets the "width" value

Gets and sets the "altitude" value

Represents the properties for XNode element and its attributes

Gets and sets the xNodeStats elements value

Gets and sets the xRegInfo elements value

Represents the properties for XNodeStats element and its attributes

Gets and sets the "improvement" attribute value

Represents the properties for XRegInfo element and its attributes

Gets and sets the "Mean" attribute value

Gets and sets the "StdDev" attribute value

Represents the properties for XRisk element and its attributes

Gets and sets the attribute value

Represents the properties for XSeOfRisk element and its attributes

Gets and sets the attribute value

Represents the properties for XTreeModel element and its attributes

Gets and sets the XPredictorImportanceList elements value

Gets and sets the XPriorValue elements value

Represents the properties for XPredictorImportanceList element and its attributes

Gets the XPredictorImportance Element

Gets the XRegInfo Element

Represents the properties for XPriors element and its attributes

Gets and sets the xPriorValue elements value

Represents the properties for XPriorValue element and its attributes

Gets and sets the value

Gets and sets the "targetCategory" attribute value

Represents the properties for XPredictorImportance element and its attributes

Gets and sets the importance value

Gets and sets the predictorName value

Represents the properties for ProbabilityParameter element and its attributes

Gets and sets the "paramA" attibute value

Gets and sets the "paramB" attibute value

Represents the properties for ResponseCategory element and its attributes

Gets and sets the "Response" attibute value

Gets and sets the "NonResponse" attibute value

Represents the methods and properties for Apply transformation

Gets the Apply object

Gets the Apply result

Gets the Apply Function

Gets the NormDiscrete object collection

Gets the Discretize object collection

Gets the NormContinuous object collection

Gets the FieldReference object collection

Gets the Constant collection

Gets the Apply object collection

Gets the Map missing value

Gets the default value

Gets the Apply's parent object

Gets the Apply hierarchy collection

Represents the methods and properties for Constant transformation

Gets the Extension object

Gets the Value attribute

Gets the datatype value

Represents the methods and properties for DefineFunction element and its attibutes

Gets the Extension object

Gets the FieldReference object

Gets the NormContinuous object

Gets the NormDiscrete object

Gets the Constant object

Gets the Discretize object

Gets the MapValues object

Gets the Apply object

Gets the parameter field collection

Gets the define function name

Gets the define function optype

Gets the define function data type

Represents the properties for ParameterField element and its attributes

Gets the parameter field name

Gets the parameter field optype

Gets the parameter field data type

Represents the properties for Aggregate transformation

Gets and sets the field to value

Gets and sets the function to value

Gets the GroupField value

Gets the SqlWhere value

Represents the properties for TableLocator element and its attributes

Gets and Sets extension

Represents the methods and properties for TextIndex element and its attributes

Gets the Extension object

Gets the TextIndexNormalization object

Gets the FieldReference object

Gets the NormContinuous object

Gets the NormDiscrete object

Gets the Discretize object

Gets the MapValues object

Gets the TextIndex object

Gets the Aggregate object

Gets "TextField" value

Gets "LocalTermWeights" value

Gets "IsCaseSensitive" value

Gets "MaxLevenshteinDistance" value

Gets "CountHits" value

Gets "wordSeparatorCharacterRE" value

Gets "Tokenize" value

Represents the properties of TextIndexNormalization element and its attributes

Gets the Extension object

Gets the TableLocator object

Gets the TableLocator object

Gets "InField" value

Gets "OutField" value

Gets "RegexField" value

Gets "Recursive" value

Gets "IsCaseSensitive" value

Gets "MaxLevenshteinDistance" value

Gets "WordSeparatorCharacterRE" value

Gets "Tokenize" value

Represents the methods and properties for Target element and its attributes

Gets and sets the "targetsField" value

Gets the "rescaleConstant" value

Gets the "rescaleFactor" value

Gets the "optype" value

Gets the "Cast Integer" value

Gets the "min" value

Gets the "max" value

Represents the properties for Targets element and its attributes

Disposes the objects

Gets the "Target" values

Contains utility methods for object cloning.

Clones int array.

Array to clone Returns cloned array.

Clones ushort array.

Array to clone. Returns cloned array.

Clones string array.

Array to clone. Returns cloned array.

Clones object array.

Array to clone. Returns cloned array.

Clones object that implements ICloneable interface.

Object to clone. A clone of the object.

Clones SortedList with objects that implement ICloneable interface.

SortedList with objects to clone. SortedList witn clone of the objects.

Clones byte array.

Array to clone. Return cloned array.

Clone Dictionary.

Dictionary to clone Returns a copy of the Dictionary.

Clone Dictionary.

Dictionary to clone Returns a copy of the Dictionary.

Clone List.

List values List to clone Returns a copy of a list

Represents the helper methods for all Evaluators

Gets the predicted field name

Mining Schema of appropiate model Predicted field

Gets the Predicted DataType

Predicted Field Data dictionary element in PMML Predicted field data type

Returns actual input (key,values) after applying local transformations

single row values Miningschema presented in PMML Local transformations in PMML file Model name Normalized Inputs list

Gets the normalized value after applying transformation

transformations in PMML file single row values Reference for missing field names

Gets define functions presented in the transformation element

transformation element collection of define function and its values

Filters the transformed input list based on FieldRef element in PMML

Normalized Inputs list PMML file Filtered inputs list

Returns input (key, value) data. Transforms object data source as property/field (key) and its value (value) pair.

Single Row values Field Value pair

Output transformation value

output fields calculated result predict result

Represents methods for transformations.

Filters value based on FieldRef value

result

Performs a Z-score Normalization on continuous values and returns the normalized value

result

Performs a Z-score DeNormalization on continuous values and returns the denormalized value

result

Transforms categorical values to Numerical Values and returns the result

result

Transforms discrete values to continuous values and returns the result

result

Returns true if the input value lies within Range

boolean value

Implements a map between discrete values and returns the result

result

Implements the apply functions and returns it result

dervied field value field value pair result of apply function

Evaluates the nested apply functions

Apply function values function result

Calculates function result

Apply function values

Gets the result value of an Apply function

values apply function value

Evaluates Number Format Function

Input value Pattern value formattedResult

Evaluates Define Function

Apply function values

Output transformation evaluation

derived field calculated value output field values output field predicted result

Represents the methods and properties for DataDictionary element and its attributes

Gets and sets the list of "DataFields" elements value

Gets and sets the "numberOfFields" attribute value

Represents the methods and properties for DataField element and its attributes

Gets and sets the "name" attribute value

Gets and sets the "opType" attribute value

Gets and sets the "dataType" attribute value

Gets and sets the "displayName" attribute value

Gets and sets the "isCyclic" attribute value

Gets and sets the list of "Values" elements value

Represents the methods and properties for DataField - Value

Gets and sets the "value" attribute

Gets and sets the "Display value" attribute

Gets and sets the "property" attribute

Represents the properties for Application element and its attributes

Gets and sets the "name" attribute value

Gets and sets the "version" attribute value

Represents the methods and properties for Extension element and its attributes

Disposes the objects

Gets and sets the "BayesInput" elements value

Gets and sets the "ResponseCategory" elements value

Gets and sets the "ProbabilityParameter" elements value

Gets and Sets the XNode values

Gets and Sets the XRisk values

Gets and Sets the XSeOfRisk values

Gets and Sets the XTreeModel values

Gets and sets the "name" attibute value

Gets and sets the "value" attibute value

Gets and sets the "extender" attibute value

Represents the properties for Header element and its attributes

Gets and sets the "copyright" attribute value

Gets and sets the "copyright" attribute value

Gets and sets the "Extension" elements value

Gets and sets the "Application" elements value

Gets and sets the "Timestamp" element value

Represents the properties and methods for CovariateList element and its attributes

It returns list of Predictors

predictors

Disposes the objects

Gets and sets list of "Predictor" value

Gets and sets the extension

Represents the properties for Predictor element and its attributes

Disposes the objects

Gets the name for predictor

Gets the contrast matrix type

Gets and sets the extension

Gets Categories

Gets matrix values

Represents the properties of categories

Disposes the Garbage values

Gets and sets the extension

Gets the category

Represents the properties of category

Disposes the objects

Gets and sets the extension

Gets values for category

Represents the properties and methods for FactorElements and its attributes

It returns List of predictors

predictors

Disposes the objects

Gets and sets the extension

Gets and sets the predictors

Represents the properties and methods for GeneralRegressionModel element and its attributes

Its returns the coefficients

Coefficients

Disposes the objects

Gets the mining schema element

Gets the output element

Gets the parameter list element

Gets the covariate list element

Gets the PPmatrix element

Gets the paramMatrix element

Gets the factor element

Gets the model verification element

Gets the model explanation

Gets the local transformations

Gets and sets the coefficients

Gets the base cum hazard table

Gets the model type

Gets the distribution

Gets the link function

Gets the Cumulative link function

Get the targetReferenceCategory

Gets the Link Parameter

Gets the Distance Parameter

Gets the end time variable

Gets the start time variable

Gets the Status variable

Gets the model type

Gets the TargetVariableName

Represents the properties for ClusteringModelQuality element and its attributes

Gets and sets the dataname for clustering model quality

Gets and sets the SSE

Gets and sets the SSB

Represents the properties for ConfusionMatrix element and its attributes

Disposes the objects

Gets and sets the class labels

Gets and sets the extension

Gets and sets the matrix values

Represents the properties for ClassLabels element and its attributes

Disposes the objects

Gets and sets the extension

Represents the properties and methods for Correlations element and its attributes

Disposes the objects

Gets and sets the extension

Gets and sets the correlation fields

Gets and sets the correlation values

Gets and sets the correlation methods

Represents the properties for CorrelationFields element and its attributes

It returns String array of correlation fields

correlation fields

Disposes the objects

Gets and sets the extension

Gets and sets the string array values

Represents the properties for CorrelationValues element and its attributes

Disposes the objects

Gets and sets the extension

Represents the properties for CorrelationMethods element and its attributes

Disposes the objects

Gets and sets the extension

Represents the methods and properties for LiftData element and its attributes

Disposes the objects

Gets and sets the model lift graph

Gets and sets the extension

Gets and sets the optimum lift graph values

Gets and sets the random lift graph values

Gets and sets the target field value

Gets and sets the target field display value

Gets and sets the ranking quality

Represents the properties for ModelLiftGraph element and its attributes

Disposes the objects

Gets and sets the extension

Gets and sets the lift graph value

Represents the properties for OptimumLiftgraph element and its attributes

Disposes the objects

Gets and sets the extension

Gets and sets the lift graph value

Represents the properties for RandomLiftGraph element and its attributes

Disposes the objects

Gets and sets the extension

Gets and sets the lift graph value

Represents the methods and properties for LiftGraph element and its attributes

Disposes the objects

Gets and sets the x coordinates

Gets and sets the extension

Gets and sets the y coordinate values

Gets and sets the boundary values

Gets and sets the boundary value means

Represents the properties for XCoordinates element and its attributes

Disposes the objects

Gets and sets the extension

Represents the properties for YCoordinates element and its attributes

Disposes the objects

Gets and sets the extension

Represents the properties for BoundaryValues element and its attributes

Disposes the objects

Gets and sets the extension

Represents the properties for BoundaryValueMeans element and its attributes

Disposes the objects

Gets and sets the extension

Represents the properties for Matrix element and its attributes

Disposes the objects

Gets and sets the matrix cell elements

Gets and sets the NB rows

Gets and sets the NB coloumns

Gets and sets the diagonal as default

Gets and sets the off diagonal as default

Gets and sets the kind

Represents the properties for MatCell element and its attributes

Gets and sets the row

Gets and sets the coloumn

Represents the properties and methods for ModelExaplanation element and its attributes

It returns List of predictive Model Quality

Predictive model quality

It returns List of Clustering Model Quality

Clustering model quality

Disposes the objects

Gets and sets the extension

Gets and sets the predictive model quality

Gets and sets the clustering model quality

Gets and sets the correlations

Represents the methods and properties for PredictiveModelQuality element and its attributes

Disposes the objects

Gets and sets the mean error

Gets and sets the mean absolute error

Gets and sets the mean square error

Gets and sets the root mean square error

Gets and sets the rsquared value

Gets and sets the adjusted rsquared value

Gets and sets the sum squared error

Gets and sets the sum squared regression

Gets and sets the number of records

Gets and sets the number of records weighted

Gets and sets the number of predictors

Gets and sets the degrees of freedom

Gets and sets the fstatistic

Gets and sets the AIC value

Gets and sets the BIC value

Gets and sets the AICc value

Gets and sets the extension

Gets and sets the confusion matrix

Gets and sets the lift data

Gets and sets the roc

Represents the methods and properties for ROC element and its attributes

Disposes the objects

Gets and sets the extension

Gets and sets the ROC graph

Gets and sets the positive target field value

Gets and sets the positive target field display value

Gets and sets the negative target field value

Gets and sets the negative target field display value

Represents the properties for ROCGraph element and its attributes

Disposes the objects

Gets and sets the x coordinates

Gets and sets the extension

Gets and sets the y coordinates

Gets and sets the BoundaryValues

Represents the methods and properties for ModelVerification element and its attributes

Disposes the objects

Gets and sets the record count

Gets and sets the field count

Gets and sets the verification fields

Gets and sets the extension

Gets and sets the inline table

Represents the properties of verfication fields

Disposes the objects

Gets and sets the extension

Gets and sets the verfication field

Represents the properties of verification field

Disposes the objects

Gets and sets the extension

Gets and sets the field

Gets and sets the column

Gets and sets the precision

Gets and sets the zero threshold

Represents the properties for Paramter element and its attributes

Disposes the objects

Gets and sets the extension

Gets the parameter name

Gets the parameter label

Gets the parameter reference point

Represents the properties and methods for ParameterList element collection

It returns list of Parameters

Disposes the objects

Gets and sets the parameters

Gets and sets the extension

Represents the properties and methods for ParamMatrix element and its attributes

It returns list of ParamMatrixCellList

ParamMatrixCellList

Disposes the objects

Gets and sets the parammatrix cell list

Gets and sets the extension

Represents the properties for ParamatrixCell element and its attributes

Disposes the objects

Gets the parameter name

Gets the Degrees of freedom

Gets the beta value

Gets the target category value

Gets and sets the extension

Represents the properties for PredictorToParameterCell element and its attributes

Disposes the objects

Gets the PPcell value

Gets the predictor Name

Gets the parameter Name

Gets the target category value

Gets and sets the extension

Represents the properties and methods for PredictorToParameterMatrix element and its attributes

It returns List of Predicto To ParameterCells

Predictor To ParameterCells

Disposes the objects

Gets and sets the predictor to parameter cells

Gets and sets the extension

Represents the methods and properties for MiningModel element and its attributes

Disposes the objects

Gets and sets the "Extension" elements value

Gets the "Output" value

Gets the "MiningSchema" value

Gets the "Segmentation" value

Gets the "LocalTransformations" value

Gets the "Targets" value

Represents the methods and properties for Segment element and its attributes

Returns the List of SimplePredicate objects

List of Clone objects

Returns the list of SimpleSet Predicates' objects

List of Clone objects

Disposes the objects

Gets the values of class CompoundPredicate

Gets and Sets the values of class SimplePredicates

Gets and Sets the values of class SimpleSetPredicates

Gets and Sets the values of class True

Gets and Sets the values of class False

Gets and sets the "id" Value

Gets and sets the "weight" Value

Gets the "TreeModel" value

Gets and sets the "RegressionModel" elements value

Gets and sets the "GeneralRegressionModel" elements value

Gets and sets the "NaiveBayesModel" elements value

Gets and sets the "MiningModel" elements value

Gets and sets the "Rule Set Model" element value

Gets and sets the "Sequence Model" element value

Gets and sets the "NeuralNetworkModel" elements value

Gets and sets the "ClusteringModel" elements value

Gets and sets the "AssociationRulesModel" element value

Gets and sets the "SupportVectorMachineModel" elements value

Represents the methods and properties for Segmentation element and its attributes

Returns the list of "Segment" value

Cloned list of "Segment"

Disposes the objects

Gets and sets the "multipleModelMethod" value

Gets and sets the list of "Segment" value

Represents the methods and properties for BayesInput element and its attributes

Returns the List of PairCounts values

List of Pair Counts

Disposes the Elements Value

Gets the "TargetValueStats" elements value

Gets and Sets the list of "PairCounts" elements value

Gets the "DerivedField" elements value

Gets the "FieldName" attribute value

Represents the methods and properties for BayesInput element collection

Returns the List of Extension values

List of Extension values

Returns the List of BayesInput values

List of BayesInput values

Disposes the Elements Value

Gets and Sets the list of "Extension" elements value

Gets and Sets the list of "BayesInput" elements value

Represents the methods and properties for Discretize element and its attributes

Returns the List of DiscretizeBin values

List of DiscretizeBin values

Disposes the Elements Value

Gets and Sets the list of "DiscretizeBin" elements value

Gets the "field" attribute value

Gets the "mapMissingTo" attribute value

Gets the "dataType" Attribute value

Gets the "defaultvalue" Attribute value

Represents the methods and properties for DiscretizeBin element and its attributes

Disposes the Elements Value

Gets the "Interval" elements value

Gets the "binValue" attributes value

Represents the properties for GaussianDistribution element and its attributes

Gets the "mean" attribute value

Gets the "variance" attribute value

Represents the methods and properties for Interval element and its attributes

Disposes the objects

Gets the "Extension" element value

Gets the "closure" attribute value

Gets the "leftMargin" attribute value

Gets the "rightMargin" attribute value

Represents the methods and properties for PairCounts element and its attributes

Disposes the Elements Value

Gets the "TargetValueCounts" elements value

Gets the "value" attribute value

Represents the properties for TargetValueCount element and its attributes

Gets the "value" attribute value

Gets the "count" attribute value

Represents the methods and properties for TargetValueCount element collection

Returns the List of TargetValueCount values

List of TargetValueCount values

Disposes the Elements Value

Gets and Sets the list of "TargetValueCount" elements value

Represents the methods and properties for TargetValueStat element and its attributes

Disposes the Elements Value

Gets the "GaussianDistribution" elements value

Gets the "value" attribute

Represents the methods and properties for TargetValueStats element collection

Returns the List of TargetValueStat values

List of TargetValueStat values

Disposes the Elements Value

Gets and Sets the list of "TargetValueStat" elements value

Represents the methods and properties for BayesOutput element and its attributes

Disposes the Elements Value

Gets the "TargetValueCounts" elements value

Gets the "fieldName" attribute Value

Represents the methods and properties for NaiveBayesModel element and its attributes

Disposes the Elements Value

Gets the "LocalTransformations" element value

Gets the "MiningSchema" element value

Gets the "Output" element value

Gets the "BayesInputs" element value

Gets the "BayesOutput" element value

Gets the "threshold" attribute value

Represents the methods and properties for Anova element and its attributes

Disposes the Elements values

Gets and Sets the "Target" value

Gets ans sets the "AnovaRow" value

Gets and sets the "Extension" value

Represents the methods and properties for AnovaRow element and its attributes

Disposes the Elements values

Gets and sets the "Type" value

Gets and sets the "SumOfSquares" value

Gets and Sets the "DegreesOfFreedom" value

Gets and Sets "MeanOfSquares" value

Gets and Sets the "FValue" value

Gets and Sets the "PValue" value

Gets and Sets the "Extension" value

Represents the properties for ContStats element and its attributes

Disposes the Elements values

Gets and Sets "Interval" value

Gets and Sets the "Extension" value

Gets and Sets the "FrequenciesType" value

Gets and Sets "TotalSquaresSum" value

Gets and Sets "TotalValuesSum" value

Represents the properties for FrequenceType element and its attributes

Disposes the Elements values

Gets and Sets "Array" value

Represents the properties for DiscrStats element and its attributes

Disposes the Elements Value

Gets and Sets "Array" value

Gets and Sets "Extension" value

Gets and Sets "ModalValue" value

Represents the methods and properties for ModelStats element and its attributes

Disposes the Elements Value

Gets and Sets "Extension" value

Gets and Sets "UnivariateStats" value

Gets and Sets "MultivariateStats" value

Represents the properties for MultivariateStats element collection

Disposes the Elements Value

Gets and Sets the "TargetCategory" value

Gets and Sets the "Extension" value

Gets and Sets the "MultivariateStat" value

Represents the properties for MultivariateStat element and its attributes

Disposes the Elements Value

Gets and Sets the "Extension" value

Gets and Sets the "Name" value

Gets and Sets the "Category" value

Gets and Sets the "Exponent" value

Gets and Sets the "IsIntercept" value

Gets and Sets the "Importance" value

Gets and Sets the "StdError" value

Gets and Sets the "TValue" value

Gets and Sets the "ChiSquareValue" value

Gets and Sets the "FStatistic" value

Gets and Sets the "DF" value

Gets and Sets the "PValueAlpha" value

Gets and Sets the "PValueInitial" value

Gets and Sets the "PValueFinal" value

Gets and Sets the "ConfidenceLowerBound" value

Gets and Sets the "ConfidenceLevel" value

Gets and Sets the ConfidenceUpperBound value

Represents the methods and properties for RegressionModel element and its attributes

Returns the list if RegressionTable values

List if Regression Table values

Disposes the Elements values

Gets and Sets the "ModelType" value

Gets and Sets the "ModelType" value

Gets and Sets the "TargetFieldName" value

Gets and Sets the "NormalizationMethod" value

Gets and Sets the "IsScorable" value

Gets and Sets the "Extension" value

Gets the "MiningSchema" value

Gets the "Output" value

Gets and Sets the "ModelStats" value

Gets and Sets the "ModelExplanation" value

Gets and Sets the "Targets" value

Gets the "LocalTransformations" value

Gets and Sets the list of "RegressionTables" value

Gets and Sets the "ModelVerification" value

Represents the properties for CategoricalPredictor element and its attributes

Gets "Name" value

Gets "Value"

Gets "Coefficient" value

Represents the properties for NumericPredictor element and its attributes

Gets "Name" value

Gets "Exponent" value

Gets "Coefficient" value

Represents the methods and properties for RegressionTable element and its attributes

Returns the list of Numerical Predictor Value

List of Numerical Predictor Value

Returns the list of Categorical Predictor Value

List of Categorical Predictor Value

Disposes the Elements Value

Gets and Sets the "PredictorTerm" value

Gets and Sets the "NumericPredictor" value

Gets and Sets the "CategoricalPredictor" value

Gets "Intercept" value

Gets "TargetCategory" value

Represents the methods and properties for PredictorTerm element and its attributes

Gets "Coefficient" value

Gets "Name" value

Gets and sets the list of "FieldRef" value

Gets and sets the list of "Extension" value

Represents the properties for UnivariateStats element and its attributes

Disposes the Elements values

Gets and Sets the "field" value

Gets and Sets the "weighted" value

Gets and Sets the "Extension" value

Gets and Sets the "Counts" value

Gets and Sets the "NumericInfo" value

Gets and Sets the "DiscrStats" value

Gets and Sets the "ConstsStats" value

Gets and Sets the "Anova" value

Represents the properties for Count element and its attributes

Disposes the Elements values

Gets and Sets the "Extension" value

Gets and Sets the "TotalFreq" value

Gets and Sets the "MissingFreq" value

Gets and Sets the "InvalidFreq" value

Gets and Sets the "Cardinality" value

Represents the properties for NumericInfo element and its attributes

Disposes the Elements values

Gets and Sets the "Extension" value

Gets and Sets the "Quantile" value

Gets and Sets the "Mininum" field value

Gets and Sets the "Maximum" field value

Gets and Sets the "Mean" value

Gets and Sets the "Standard deviation" value

Gets and Sets the "Median" value

Gets and Sets the "InterQuartile range" value

Represents the properties for Quantile element and its attributes

Disposes the Elements values

Gets and Sets the "Extension" value

Gets and Sets the "QuantileLimit" value

Gets and Sets the "QuantileValue" field value

Represents the methods and properties for Coefficients element collection

Returns list of "Coefficient" values

Cloned list of "Coefficient" values

Disposes the objects

Gets and sets list of "Coefficient" values

Getsthe "absoluteValue" value

Gets and sets the "numberOfCoefficients" value

Represents the properties for Coefficient element and its attributes

Gets the "value" in Coeffcient element

Represents the properties for LinearKernelType

Gets and sets the "description" value

Represents the properties for PolynomialKernelType

Gets the "gamma" value

Gets the "coef0" value

Gets the "degree" value

Gets and sets the "description" value

Represents the properties for RadialBasisKernelType

Gets the "gamma" value

Gets and sets the "description" value

Represents the properties for SigmoidKernelType

Gets the "gamma" value

Gets the "coef0" value

Gets and sets the "description" value

Represents the methods and properties for SupportVectorMachine element and its attributes

Disposes the objects

Gets the "Extension" values

Gets the "SupportVectors" values

Gets the "Coefficients" values

Gets the "targetCategory" value

Gets the "alternateTargetCategory" value

Represents the methods and properties for SupportVectorMachineModel element and its attributes

Returns list of "SupportVectorMachine" value

Cloned list of "SupportVectorMachine"

Disposes the objects

Gets the "KernelType"

Gets the "LocalTransformations" value

Gets the "Output" value

Gets the "Targets" value

Gets the "MiningSchema" value

Gets the "LinearKernelType" value

Gets the "PolynomialKernelType" value

Gets the "SigmoidKernelType" value

Gets the "RadialBasisKernelType" value

Gets the "VectorDictionary" value

Gets and sets the list of "SupportVectorMachine" value

Gets and sets the "svmRepresentation" value

Gets the "threshold" value

Gets and sets the "classificationMethod" value

Represents the methods and properties for SupportVector element collection

Returns list of "SupportVector" value

Cloned list of "SupportVector"

Disposes the objects

Gets and sets the list of "SupportVector" value

Gets and sets the "numberOfAttributes" value

Gets and sets the "numberofSupportvectors" value

Represents the properties for SupportVector element and its attributes

Gets the "vectorId" value

Represents the properties for RealSparseArray element and its attributes

Gets and sets the "Indices" value

Gets the "REAL-Entries" values

Gets and sets the "n" value

Gets and sets the "defaultValue" value

Represents the methods and properties for VectorDictionary element and its attributes

Returns List of "VectorInstance" value

Cloned list of "VectorInstance" value

Disposes the objects

Gets the "VectorFields" value

Gets and sets the list of "VectorInstance" value

Gets and sets the "numberOfVectors" value

Represents the properties for VectorInstance element and its attributes

Disposes the objects

Gets the "REAL-SparseArray" value

Gets the "id" value

Represents the methods and properties for VectorFields element collection

Returns list of "FieldRef" value

Cloned list of "FieldRef" value

Disposes the objects

Gets and sets the list of "FieldRef" value

Gets and sets the "numberOfFields" value

Represents the properties for FieldReference element and its attributes

Gets the "field" value

Gets and sets "mapMissingTo" value

Represents the properties and methods for RuleSet element and its attributes

Dispose the objects

Gets the record count

Gets the Nbcorret

Gets the default score

Gets the default confidence

Gets the rule selection method

Gets the simple rule

Represents the properties for RuleSelectionMethod element and its attributes

Gets the Criterion

Represents the methods and properties for RuleSetModel element and its attributes

Dispose the objects

Gets the boolean IsScorable value

Gets and Sets the ModelVerification class values

Gets and Sets the Extension class values

Gets and Sets the ModelStats class values

Gets and Sets the ModelExplanation class values

Gets the LocalTransformations class values

Gets the Targets

Gets the Output class values

Gets the mining schema element

Gets the Rule set element

Represents the methods and properties for SimpleRule element and its attributes

Represents the properties for Predicate element and its attributes

Gets the field values

Dispose the objects

Gets the rule Id

Gets the score

Gets the nbCorrect

Gets the Record count

Gets the weight

Gets the confidence

Gets and Sets the Predicates

Gets the simple set predicate

Gets the Simple predicate

Gets the Score distribution

Gets the CompoundPredicates

Gets and sets the extension

Represents the methods and properties for AntecedentSequence element and its attributes

Dispose the opjects

Gets and Sets the sequence reference class values

Represents the methods and properties for ConsequentSequence element and its attributes

Dispose the opjects

Gets and Sets the sequence reference class values

Represents the methods and properties for Constraints element and its attributes

Dispose the opjects

Gets the minimum support

Gets the minimum confidence

Gets the minimum lift

Gets the minimum total elapsed time

Gets the maximum total elapsed time

Gets the minimum time allowed between two Itemsets

Gets the maximum time allowed between two Itemsets

Gets minimum time between antecedent and consequent Sequence

Gets maximum time between antecedent and consequent Sequence

Gets the minimum number of Items in a sequence

Gets the maximum number of Items in a sequence

Gets the minimum number of Items

Gets the maximum number of Items

Gets the minimum number of Items in a sequence's consequent

Gets the maximum number of Items in a sequence's consequent

Gets and Sets the extension class values

Represents the methods and properties for Delimiter element and its attributes

Dispose the opjects

Gets the delimiter value

Gets the gap value

Gets and Sets the extension class values

Represents the methods and properties for Sequence element and its attributes

Dispose the opjects

Gets the occurrence

Gets the sequence ID

Gets the number of sets

Gets the support

Gets and sets the delimiter value

Gets and sets the time values

Gets and sets the SetReference value

Gets and Sets the extension class values

Represents the methods and properties for SequenceModel element and its attributes

Disposes the objects

Gets the boolean IsScorable value

Gets number of transactions

Gets maximum number of items per transaction

Gets number of transaction groups

Get average number of items per transaction

Gets maximum number of transactions for all transaction groups

Gets average number of transactions for all transaction groups

Gets and Sets the item class values

Gets and Sets the item set class values

Gets and Sets the sequence class values

Gets and Sets the sequence rule class values

Gets and Sets the extension class values

Gets and Sets the extension class values

Gets and Sets the ModelStats class values

Gets the LocalTransformations class values

Gets the mining schema values

Represents the methods and properties for SequenceReference element and its attributes

Dispose the opjects

Gets the reference sequence ID

Gets and Sets the extension class values

Represents the methods and properties for SequenceRule element and its attributes

Dispose the opjects

Gets sequence rule id

Gets number of sets

Gets the occurrence

Gets the support

Gets the confidence

Gets the Lift

Gets and sets the consequent sequence value

Gets and sets the antecedent sequence value

Gets and sets the delimiter value

Gets and sets the time values

Gets and Sets the extension class values

Represents the methods and properties for SetPredicate element and its attributes

Dispose the opjects

Gets the predicate set ID

Gets the predicate set field

Get the predicate set operator

Gets and Sets the predicted array class values

Gets and Sets the extension class values

Represents the methods and properties for SetReference element and its attributes

Dispose the opjects

Gets the reference set ID

Gets and Sets the extension class values

Represents the methods and properties for Time element and its attributes

Dispose the opjects

Gets the minumum time

Gets the maximum time

Gets the mean time

Gets the standard deviation

Gets and Sets the extension class values

Represents the properties and methods for ArrayClass element and its attributes

Returns the Array of objects

Array of Clone objects

Disposes the objects

Gets the number of elements present

Gets the Data type of the attribute

Gets and sets the String values of the attribute

Represents the properties and methods for CompoundPredicate element and its attributes

Returns the List of SimplePredicates' objects.

List of Clone objects

Returns the List of SimpleSet Predicates' objects

List of Clone objects

Returns the List of Predicates' objects

List of Clone objects

Disposes the objects

Gets the boolean operator

Gets the Simple Predicates

Gets the SimpleSet Predicates

Gets and Sets the Predicates

Represents the methods and properties for DecisionTree element and its attributes

Disposes the objects

Gets the SplitCharacteristic value.

Gets and sets the MissingValueStrategy value

Gets and sets the MissingValuePenalty value

Gets and sets the NoTrueChildStrategy values

Gets the boolean IsScorable value

Gets the LocalTransformations class values

Gets the MiningSchema class values

Gets the Output class values

Gets the Node class values

Gets and Sets the Extension class values

Gets and Sets the ModelStats class values

Gets and Sets the ModelExplanation class values

Gets and Sets the Targets class values

Gets and Sets the ModelVerification class values

Represents the properties and methods for Regression Model and Decision Tree

Disposes the objects

Gets and Sets the Regression Model Class values

Gets and Sets the Decision Tree Class values

Represents the methods and properties for False element and its attributes

Disposes the objects

Gets and Sets the extension class values

Represents the properties and methods for Node element and its attributes

Returns the List of Node objects

List of Clone objects

Returns the List of SimplePredicate objects

List of Clone objects

Returns the list of SimpleSet Predicates' objects

List of Clone objects

Returns the list of ScoreDistributions' objects

List of Clone objects

Disposes the objects

Gets the attribute Id value

Gets the attribute DefaultChild value

Gets the attribute RecordCount value

Gets the attribute DefaultChild value

Gets and Sets the values of class Node

Gets the values of class CompoundPredicate

Gets and Sets the values of class SimplePredicates

Gets and Sets the values of class SimpleSetPredicates

Gets and Sets the values of class ScoreDistributions

Gets and Sets the values of class Partition

Gets and Sets the values of class EmbeddedModel

Gets and sets the values of class Extension

Gets and Sets the values of class True

Gets and Sets the values of class False

Represents the properties and methods for Partition element and its attributes

Disposes the objects

Gets and Sets the Name value

Gets the Size

Gets and Sets the value of class Extension

Gets and sets the value of class PartitionFieldStats

Represents the methods and properties for PatitionFildStats element and its attributes

Disposes the objects

Gets the Field values

Gets the Weighted values

Gets and Sets the Extension class values

Gets and Sets the Counts class values

Gets and Sets the NumericInfo class values

Gets and Sets the FrequenciesType class values

Represents the methods and properties for ScoreDistribution element and its attributes

Gets the attribute Value's value

Gets the attribute RecordCount's value

Gets the attribute Confidence's value

Gets the attribute Probability's value

Represents the methods and properties for SimplePredictate element and its attributes

Gets the attribute Operator

Gets the attribute Value

Represents the methods and properties for SimpleSetPredicate element and its attributes

Disposes the objects

Gets the corresponding boolean operator

Gets the ArrayClass' values

Represents the methods and properties for TreeModel element and its attributes

Disposes the objects

Gets the SplitCharacteristic value.

Gets and Sets the MissingValueStrategy value

Gets and Sets the MissingValuePenalty value

Gets and Sets ans sets the NoTrueChildStrategy values

Gets the boolean IsScorable value

Gets the LocalTransformations class values

Gets the MiningSchema class values

Gets the Output class values

Gets the Node class values

Gets and Sets the Extension class values

Gets and Sets the ModelStats class values

Gets and Sets the ModelExplanation class values

Gets the Targets class values

Gets and Sets the ModelVerification class values

Represents the methods and properties for True element and its attributes

Disposes the objects

Gets and Sets the extension class values

Represents the properties and methods for DerivedField element and its attributes

Disposes the Elements Value

Gets the FieldReference object

Gets the NormContinuous object

Gets the NormDiscrete object

Gets the Constant object

Gets the Discretize object

Gets the MapValues object

Gets the Apply object

Gets the derived filed name

Gets the derived field optype

Gets and sets the derived field data type

Represents the properties for FieldColumnPair element and its attributes

Gets the field

Gets the column

Represents the properties and methods for InlineTable element and its attributes

Gets the list of Rows

Gets and Sets List of Rows

Represents the properties for LinearNorm element and its attributes

Gets the origin value

Gets the Norm value

Represents the properties and methods for LocalTransformations element and its attibutes

Returns list of Derived fields

Disposes the Elements Value

Gets and Sets Derived fields

Gets and Sets "Extension" Element value

Represents the properties and methods for MapValues element and its attributes

Gets the FieldColumnPair

Gets the InlineTable

Gets the OutputColumn

Gets the mapMissingTo

Gets and sets the datatype

Gets the default value

Represents the properties and methods for NormContinuous element and its attributes

Gets / Sets the list of linear norms

Gets the field value

Gets and sets the map missing to value

Gets the outliers value

Represents the properties for NormDiscrete element and its attributes

Gets the field

Gets the value

Gets the method name

Gets the map missing to value

Represents the properties for Row element and its attributes

Gets the Field Value Pair

Represents the properties and methods for MiningField element and its attributes

Gets the name

Gets the usage type

Gets and sets the missing value replacement

Gets and sets the invalid value treatment

Gets and sets the Missing value Treatment

Gets and sets the Optype value

Gets and sets the outliers value

Gets and sets the LowValue

Gets and sets the Highvalue

Gets and sets the Importance value

Represents the properties and methods for MiningSchema element and its attributes

Returns list of MiningFields

Disposes the Elements Value

Gets / Sets the Mining fields

Represents the methods and properties for DataField element collection

Gets the Business problem

Gets the description

Gets the Extension

Gets the Decisions

Represents the methods and properties for Decision element and its attributes

Gets the Extension

Gets the Value

Gets the display value

Gets the description

Represents the methods and properties for Output element and its attributes

Returns list of OutputFields

Disposes the Elements Value

Represents the methods and properties for OutputField element and its attributes

Gets the name

Gets and sets the optype

Gets and sets the data type

Gets the feature value

Gets the value

Gets and sets the target field

Gets the FieldReference object

Gets the NormContinuous object

Gets the NormDiscrete object

Gets the Constant object

Gets the Discretize object

Gets the MapValues object

Gets the Apply object

Gets and Sets the "DerivedField" value

Gets and Sets the "Extension" value

Gets and Sets the "Decisions" value

Represents the object model for PMML document.

Creates an instance for PMMLDocument

Creates an instance for PMMLDocument

pmml file path

Creates an instance for PMMLDocument

pmml stream

Creates an instance for PMMLDocument

text reader object

Parses pmml document based on file path

pmml file path

Parses pmml document based on file path

pmml file path pmml validation type

Parses pmml document based on pmml stream

pmml file path

Parses pmml document based on pmml stream

pmml file path pmml validation type

Parses pmml document based on text reader object

text reader object

Parses pmml document based on text reader object

text reader object pmml validation type

Releases the memory occupied by objects

Gets and sets the "Header" elements value

Gets and sets the "DataDictionary" elements value

Gets and sets the "SupportVectorMachineModel" elements value

Gets and sets the "TreeModel" elements value

Gets and sets the "RegressionModel" elements value

Gets and sets the "GeneralRegressionModel" elements value

Gets and sets the "NaiveBayesModel" elements value

Gets and sets the "MiningModel" elements value

Gets and sets the "NeuralNetworkModel" elements value

Gets and sets the "ClusteringModel" elements value

Gets and sets the "AssociationRulesModel" element value

Gets and sets the "Rule Set Model" element value

Gets and sets the "Sequence Model" element value

Gets and sets the "Nearest Neighbor Model" element value

Gets and sets the list of "Segment" value

Gets and sets the "Extension" elements value

Represents the methods and properties of PMML Parser Used to Parse PMML file and assign its values to PMMLDocument instance

Instance of class PMMLParser

Public API to accept Pmml File Path as input and return PmmlDocument instance as output. This method will parse the XmlReader Elements of PMML file

Pmml File Path Pmml Validation Type PmmlDocument instance PmmlDocument instance

Public API to accept Pmml Stream as input and return Pmml Document instance as output. This method will parse the XmlReader Elements of PMML file

Pmml Stream Pmml Validation Type PmmlDocument instance PmmlDocument instance

Public API to accept text reader object as input and return PmmlDocument instance as output. This method will parse the XmlReader Elements of PMML file

TextReader Pmml Validation Type PmmlDocument instance PmmlDocument instance

Method used to Create Reader for the Stream data

pmml stream Pmml Validation Type PmmlDocument instance result

Method used to Parse the input file

Pmml File Type Pmml Validation Type

Validates given PMML against the XML Schema in dmg.org

pmml element pmml validation type

Parse PMML root element

Pmml Element

Used to Parse common attributes like algorithm, function and model name

Model Class Model XmlReader

Root Method to Parse RegressionModel Element

RegressionModel XmlReader RegressionModel object

Root Parser Method for SupportVectorMachineModel

SupportVectorMachineModel XmlReader SupportVectorMachineModel object

Method to parse LinearKernalType

LinearKernalType XmlReader LinearKernalType object

Method to parse SigmoidKernalType

SigmoidKernalType XmlReader SigmoidKernalType object

Method to parse PolynomialKernalType

PolynomialKernalType XmlReader PolynomialKernalType object

Method to parse RadialBasisKernalType

RadialBasisKernalType XmlReader RadialBasisKernalType object

Root Parser Method for GeneralRegressionModel

GeneralRegressionModel XmlReader GeneralRegressionModel object

Used to calculate the coefficients of General Regression Model

GeneralRegressionModel

Used to Parse the factor elements

FactorList XmlReader Factor object

Root Parser Method for Neural Network Model

NeuralNetworkModel XmlReader NeuralNetworkModel object

Method to parse NeuralInputs Element

NeuralInputs XmlReader NeuralInputs Object

Method to parse NeuralInput Element

NeuralInput XmlReader NeuralInput object

Method to parse NeuralLayer Element

NeuralLayer XmlReader NeuralLayer object

Method to parse Neuron Element

Neuron XmlReader Neuron object

Method to parse Connection Element

Connection XmlReader Connection object

Method to parse NeuralOutputs Element

NeuralOutputs XmlReader NeuralOutputs Object

Method to parse NeuralOutput Element

NeuralOutput XmlReader NeuralOutput Object

Root Parser Method for ClusteringModel

ClusteringModel XmlReader ClusteringModel object

Root Parser Method for AssociationRulesModel

AssociationRulesModel XmlReader AssociationRulesModel object

Method to parse ComparisonMeasure Element

ComparisonMeasure XmlReader ComparisonMeasure object

Method to parse Binary Similarity Element

BinarySimilarity XmlReader BinarySimilarity object

Method to parse ClusteringField Element

ClusteringField XmlReader ClusteringField object

Method to parse Cluster Element

Cluster XmlReader Cluster object

Method to parse Cluster Element

Array XmlReader Array object

Method to parse KohonenMap Elements

KohonenMap XmlReader KohonenMap object

Root Parser Method for TreeModel

TreeModel XmlReader TreeModel object

Root Parser Method for MiningModel

MiningModel XmlReader MiningModel object

Method to Parse Segmentation

Segmentation XmlReader Segmentation object

Method to Parse Segment

Segment XmlReader Segment object

Root Parser Method for NaiveBayesModel

NaiveBayesModel XmlReader NaiveBayesModel object

Used to Parse the target values

Targets XmlReader Targets object

Used to Parse the target field

Target XmlReader Target object

Used to Parse the model stats field

ModelStatsXmlReader ModelStats object

Used to parse the multivariate stats

MultivariateStats XmlReader MultiVariateStats object

Used to parse the multivariate stat

MultiVariateStat XmlReader MultiVariateStat object

Used to parse the univariate stats

UniVariateStats XmlReader UniVariateStats object

Used to Parse the anova element values

Anova XmlReader Anova object

Used to parse rows of anova

AnovaRow XmlReader AnovaRow object

Used to Parse ContStats element

ConstantStats XmlReader ConstStats object

Used to Parse FrequenciesType element

FrequenciesType XmlReader FrequenciesType object

Used to Parse Interval element

Interval XmlReader Interval object

Used to Parse DiscrStats element

DiscrStats XmlReader DiscrStats object

Used to Parse NumericInfo element

NumericInfo XmlReader NumericInfo object

Used to Parse Quantile element

Quantile XmlReader Quantile object

Used to Parse Counts element

Counts XmlReader Counts object

Parse Pmml file's Header Element

Header XmlReader Header object

Parse the Application values

Application XmlReader Application object

Parse the extension Values

Extension XmlReader Extension object

Parse the xNode Values

XNodeElement XmlReader XNode object

Parse the xRisk Values

XRiskElement XmlReader XRisk object

Parse the xSeOfRisk Values

XSeOfRisk XmlReader XSeOfRisk object

Parse the xTreeModel Values

XTreeModel XmlReader XTreeModel object

Parse the xNodeStats Values

XNodeStats XmlReader XNodeStats object

Parse the xRegInfo Values

XRegInfo XmlReader XRegInfo object

Parse the xPredictorImportanceList Values

XPredictorImportanceList XmlReader XPredictorImportanceList object

Parse the xPriors Values

XPriorsElement XmlReader XPriors object

Parse the XPredictorImportance Values

XPredictorImportance XmlReader XPredictorImportance object

Parse the xPriorValue Values

XPriorValue XmlReader XPriorValue object

Parse Pmml File DataDictionary Element

DataDictionary XmlReader DataDictionary object

Parse the DataField elements

DataFieldElement XmlReader DataField object

Parse the Value elements

Value XmlReader Value Object

Parse Pmml File LocalTransformations Element

LocalTransformations XmlReader LocalTransformations object

Parse Pmml file's TransformationDictionary Element

TransformationDictionary XmlReader TransformationDictionary object

Parse the DefineFunction Element

DefineFunction XmlReader DefineFunction object

Parse the ParameterField Element

ParameterField XmlReader ParameterField object

Parse PmmlFile's DerivedField Element

DerivedField XmlReader DerivedField object

Parse NormContinous Element

NormContinuous XmlReader NormContinuous object

Parse NormDiscrete Element

NormDiscrete XmlReader NormDiscrete object

Parse SubElement under Transformation Dictionary

Discretize XmlReader Discretize object

Parse SubElement under Discretize Element

DiscretizeBin XmlReader DiscretizeBin object

Parse the SubElement MapValues under Transformation Dictionary

MapValues XmlReader MapValues object

Parse the SubElement TextIndex under Transformation Dictionary

TextIndex XmlReader TextIndex object

Parse the SubElement Aggregate under Transformation Dictionary

Aggregate XmlReader Aggregate object

Parse SubElement TextIndexNormalization under TextIndex

TextIndexNormalization XmlReader TextIndexNormalization object

Parse SubElement TableLocator under TextIndexNormalization

TableLocator XmlReader TableLocator object

Parse SubElement FieldColumnPair under Transformation Dictionary

FieldColumnPair XmlReader FieldColumnPair object

Parse the Apply Element

Apply XmlReader Apply object

Parse the LinearNorm Element

LinearNorm XmlReader LinearNorm object

Parse the Mining Schema Element

MiningSchema XmlReader MiningSchema object

Parse the Mining Field Element

MiningField XmlReader MiningField object

Parse the Output Element

Output XmlReader Output object

Parse the outputField Element

OutputField XmlReader OutputField object

Parse the decisions element

Decisions XmlReader Decisions object

Parse decision elememt

Decision XmlReader Decision object

Parse RegressionTable Element of RegressionModel

RegressionTable XmlReader RegressionTable object

Parse predictor terms

PredictorTerms XmlReader PredictorTerms object

Parse NumericPredictor of RegressionModel

NumericPredictor XmlReader NumericPredictor object

Parse CategoricalPredictor of RegressionModel

CategoricalPredictor XmlReader CategoricalPredictor object

Parse SupportVectorMachine Element of SupportVectorMachine Model

SupportVectorMachine XmlReader SupportVectorMachine object

Parse Response Category Elements

ResponseCategory XmlReader ResponseCategory object

Parse Probability Parameter Elements

ProbabilityParameter XmlReader ProbabilityParameter object

Parse the Support Vector Elements

SupportVectors XmlReader SupportVectors object

Parse Support Vector Element

SupportVector XmlReader SupportVector object

Parse the Coefficients

Coefficients XmlReader Coefficients object

Parse the Coefficient Element

Coefficient XmlReader Coefficient object

Method to parse VectorDictionary Element

VectorDictionary XmlReader VectorDictionary object

Method to Parse VectorInstance which is an element of VectorDictionary

VectorInstance XmlReader VectorInstance object

Method to Parse RealSparseArray Element

RealSparseArray XmlReader RealSparseArray object

Method to Parse VectorFields

VectorFields XmlReader VectorFields object

Method to Parse FieldReference

FieldReference XmlReader FieldReference object

Parse the Constant Element

Constant XmlReader Constant object

Method to Parse ParameterElement

ParameterList XmlReader ParameterList object

Method to Parse Parameter

Parameter XmlReader Parameter object

Method to Parse CovariateElement

Covariate XmlReader Covariate object

Method to Parse Predictor

Predictor XmlReader Predictor object

Method to Parse Categories

Categories XmlReader Categories object

Method to Parse Category

Category XmlReader Category object

Method to Parse PredictorToParameterMatrixElement (PPMatrix)

PredictorToParameterMatrix XmlReader PredictorToParameterMatrix object

Method to Parse PredictorToParameterCell (PPCell)

PPCell XmlReader PPCell object

Method to Parse ParamMatrix

ParamMatrixElement parameter of type xmlreader class ParamMatrix object

Method to Parse ParamMatrixCell

ParamMatrixCell XmlReader ParamMatrixCell object

Method to Parse ModelVerification

ModelVerification XmlReader ModelVerification object

Method to Parse VerificationFields

VerificationFields XmlReader VerificationFields object

Method to Parse VerificationField

VerificationField XmlReader VerificationField object

Method to Parse ModelExplanation

ModelExplanation XmlReader ModelExplanation object

Method to Parse PredictiveModelQuality

PredictiveModelQuality XmlReader PredictiveModelQuality object

Method to Parse ConfusionMatrix

ConfusionMatrix XmlReader ConfusionMatrix object

Method to Parse ClassLabels

ClassLabels XmlReader ClassLabels object

Method to Parse Matrix

MatrixElement XmlReader Matrix object

Method to Parse Matcell

MatcellE XmlReader Matcell object

Method to Parse LiftData

LiftData XmlReader LiftData object

Method to Parse ModelLiftGraph

ModelLiftGraph XmlReader ModelLiftGraph object

Method to Parse OptimumLiftGraph

OptimumLiftGraph XmlReader OptimumLiftGraph object

Method to Parse RandomLiftGraph

RandomLiftGraph XmlReader RandomLiftGraph object

Method to Parse LiftGraph

LiftGraph XmlReader LiftGraph object

Method to Parse XCoordinates

XCoordinates XmlReader XCoordinates object

Method to Parse YCoordinates

YCoordinates XmlReader YCoordinates object

Method to Parse BoundaryValues

BoundaryValues XmlReader BoundaryValues object

Method to Parse BoundaryValueMeans

BoundaryValueMeans XmlReader BoundaryValueMeans object

Method to Parse ROC

ROC XmlReader ROC object

Method to Parse ROCGraph

ROCGraph XmlReader ROCGraph object

Method to Parse ClusteringModelQuality

ClusteringModelQuality XmlReader ClusteringModelQuality object

Method to Parse Correlations

Correlations XmlReader Correlations object

Method to Parse CorrelationFields

CorrelationFields XmlReader CorrelationFields object

Method to Parse CorrelationValues

CorrelationValues XmlReader CorrelationValues object

Method to Parse CorrelationMethods

CorrelationMethods XmlReader CorrelationMethods object

Method to Parse Node of TreeModel

Node XmlReader Node object

Method to Parse CompoundPredicate

CompoundPredicate XmlReader CompoundPredicate object

Method to Parse PredicateTrue

PredicateTrue XmlReader PredicateTrue object

Method to Parse PredicateFalse

PredicateFalse XmlReader PredicateFalse object

Method to Parse SimplePredicate

SimplePredicate XmlReader SimplePredicate object

Method to Parse SimpleSetPredicate

SimpleSetPredicate XmlReader SimpleSetPredicate object

Method to Parse Array

Array XmlReader ArrayClass object

Method to Parse ScoreDistribution

ScoreDistribution XmlReader ScoreDistribution object

Method to Parse EmbeddedModel

EmbeddedModel XmlReader EmbeddedModel object

Method to Parse DecisionTree

DecisionTree XmlReader DecisionTree object

Method to Parse Partition

Partition XmlReader Partition object

Method to Parse PartitionFieldStats

PartitionFieldStats XmlReader PartitionFieldStats object

Method to Parse TargetValueCount

TargetValueCount XmlReader TargetValueCount object

Method to Parse BayesInputs

BayesInputs XmlReader BayesInputs object

Method to Parse BayesInput

BayesInput XmlReader BayesInput object

Method to Parse TargetValueStats

TargetValueStats XmlReader TargetValueStats object

Method to Parse TargetValueStat

TargetValueStat XmlReader TargetValueStat object

Method to Parse GaussianDistribution

GaussianDistribution XmlReader GaussianDistribution object

Method to Parse PairCounts

PairCounts XmlReader PairCounts object

Method to Parse TargetValueCounts

TargetValueCounts XmlReader TargetValueCounts object

Method to Parse BayesExtension XmlReader is denoted by same Extension name. We use same Extension class. But seperate method is used to Parse Extension of BayesInputs XmlReader

BayesExtension XmlReader Extension object

Method to Parse BayesOutput

BayesOutput XmlReader BayesOutput object

Gets the function type for any appropriate model

Function name in PMML Functiontype object

Method to parse baseCumHazard Tables

BaseCumHazardTables XmlReader BaseCumHazardTables object

Method to parse baseline cell

BaseLineCell XmlReader BaselineCell object

Method to parse baseline Stratum

ParseBaseLineStratum XmlReader BaseLineStratum object

Method to Parse Item

Item XmlReader Item object

Parse Itemset

Itemset XmlReader Itemset object

Parse ItemRef

ItemRef XmlReader ItemRef object

Parse Associate Rule

AssociationRule XmlReader AssociationRule object

Parse rule set model

RuleSetModel XmlReader RuleSetmodel object

Parse rule set element

RuleSet XmlReader RuleSet object

Parse simple rule element

SimpleRule XmlReader SimpleRule object

Parse rule selection method

RuleSelectionMethod XmlReader RuleSelectionMethod object

Parse sequence rule model

SequenceModel XmlReader SequenceModel object

Parse Sequence Rule

SequenceRule XmlReader SequenceRule object

Parse consequent sequence

ConsequentSequence XmlReader ConsequentSequence object

Method to Parse AntecedentSequence

AntecedentSequence XmlReader AntecedentSequence object

Parse sequence reference

SequenceReference XmlReader SequenceReference object

Parse Sequence element

Sequence XmlReader Sequence object

Parse delimiter element

Delimiter XmlReader Delimiter object

Parse time element

Time XmlReader Time object

Method to Parse set reference

SetReference XmlReader SetReference object

Parse set predicate element

SetPredicate XmlReader SetPredicate object

Parse constraints element

Constraints XmlReader Constraints object

Parse Nearest Neighbor Model

NearestNeighborModel XmlReader NearestNeighborModel object

Parse Training Instances

TrainingInstances XmlReader TrainingInstances object

Parse Inline Table

InlineTable XmlReader InlineTable object

Parse Row

Row XmlReader Row object

Parse Instance Fields

InstanceFields XmlReader InstanceFields object

Parse Instance Field

InstanceField XmlReader InstanceField object

Parse KNN Inputs

KNNInputs XmlReader KNNInputs object

Parse KNN Input

KNNInput XmlReader KNNInput object

Instance to store the values of PMML file

Represents the methods and properties for TransformationDictionary element and its attributes

Class to read the data from CSV file and store it as Indexers.

Creates an instance for Table

File stream Contains header row Data separator

Method to parse a CSV file

File Stream separator to be used boolean header

Returns string value of particular cell.

row's index column's index cell value

Returns string value of particular cell

row's index column's index cell value

Returns string value of entire row.

Set the value for cells

int rowIndex entire row value

Wtite the Predicted Results to a CSV file

File path to write the Table Data Boolean property to enable /disable to write the Header in CSV file Char to specify the seperator

Wtite the Predicted Results to a CSV file

Stream to write the Table Data Boolean property to enable /disable to write the Header in CSV file Char to specify the seperator

Convert the table object into DataTable

DataTable

Disposes the class values

Get the RowCount of the Table

Get the ColumnCount of the Table

Get and set the ColumnNames of the Table

Get and Set CellValue based on the Row and Column Index

RowIndex of Table ColumnIndex of Table CellValue

Get CellValue based on the RowIndex and ColumnName

RowIndex of Table ColumnIndex of Table CellValue

Get and Set RowValue based on the RowIndex

RowIndex of Table Row Elements