PMML44 module

class PMML44.AR(Extension=None, Array=None)[source]

Bases: PMML44Super.AR

class PMML44.ARDSquaredExponentialKernel(description=None, gamma='1', noiseVariance='1', Extension=None, Lambda=None)[source]

Bases: PMML44Super.ARDSquaredExponentialKernel

class PMML44.ARIMA(RMSE=None, transformation='none', constantTerm='0', predictionMethod='conditionalLeastSquares', Extension=None, NonseasonalComponent=None, SeasonalComponent=None, DynamicRegressor=None, MaximumLikelihoodStat=None, OutlierEffect=None)[source]

Bases: PMML44Super.ARIMA

class PMML44.ARMAPart(constant='0', p=None, q=None, Extension=None, AR=None, MA=None)[source]

Bases: PMML44Super.ARMAPart

class PMML44.AbsoluteExponentialKernel(description=None, gamma='1', noiseVariance='1', Extension=None, Lambda=None)[source]

Bases: PMML44Super.AbsoluteExponentialKernel

class PMML44.Adadelta(learningRate=None, rho=None, decayRate=None, epsilon=None, Extension=None)[source]

Bases: PMML44Super.Adadelta

class PMML44.Adagrad(learningRate=None, decayRate=None, epsilon=None, Extension=None)[source]

Bases: PMML44Super.Adagrad

class PMML44.Adam(learningRate=None, beta_1=None, beta_2=None, decayRate=None, epsilon=None, Extension=None)[source]

Bases: PMML44Super.Adam

class PMML44.Adamax(learningRate=None, beta_1=None, beta_2=None, decayRate=None, epsilon=None, Extension=None)[source]

Bases: PMML44Super.Adamax

class PMML44.Aggregate(field=None, function=None, groupField=None, sqlWhere=None, Extension=None)[source]

Bases: PMML44Super.Aggregate

class PMML44.Alternate(AnyDistribution=None, GaussianDistribution=None, PoissonDistribution=None, UniformDistribution=None)[source]

Bases: PMML44Super.Alternate

class PMML44.Annotation(content=None, Extension=None, mixedclass_=None)[source]

Bases: PMML44Super.Annotation

class PMML44.AnomalyDetectionModel(modelName=None, functionName=None, algorithmName=None, algorithmType=None, MiningSchema=None, Output=None, LocalTransformations=None, ParameterList=None, ModelVerification=None, AssociationModel=None, BayesianNetworkModel=None, BaselineModel=None, ClusteringModel=None, DeepNetwork=None, AnomalyDetectionModel_member=None, GaussianProcessModel=None, GeneralRegressionModel=None, MiningModel=None, NaiveBayesModel=None, NearestNeighborModel=None, NeuralNetwork=None, RegressionModel=None, RuleSetModel=None, SequenceModel=None, Scorecard=None, SupportVectorMachineModel=None, TextModel=None, TimeSeriesModel=None, TreeModel=None, Extension=None)[source]

Bases: PMML44Super.AnomalyDetectionModel

class PMML44.Anova(target=None, Extension=None, AnovaRow=None)[source]

Bases: PMML44Super.Anova

class PMML44.AnovaRow(type_=None, sumOfSquares=None, degreesOfFreedom=None, meanOfSquares=None, fValue=None, pValue=None, Extension=None)[source]

Bases: PMML44Super.AnovaRow

class PMML44.AntecedentSequence(Extension=None, SequenceReference=None, Time=None)[source]

Bases: PMML44Super.AntecedentSequence

class PMML44.AnyDistribution(mean=None, variance=None, Extension=None)[source]

Bases: PMML44Super.AnyDistribution

class PMML44.Application(name=None, version=None, Extension=None)[source]

Bases: PMML44Super.Application

class PMML44.Apply(function=None, mapMissingTo=None, defaultValue=None, invalidValueTreatment='returnInvalid', Extension=None, FieldRef=None, Constant=None, NormContinuous=None, NormDiscrete=None, Discretize=None, MapValues=None, TextIndex=None, Apply_member=None, Aggregate=None, Lag=None)[source]

Bases: PMML44Super.Apply

class PMML44.ArrayType(content=None, n=None, type_=None, mixedclass_=None)[source]

Bases: PMML44Super.ArrayType

export(outfile, level, namespace_='', name_='ArrayType', namespacedef_='', pretty_print=True, *args)[source]
exportChildren(outfile, level, namespace_='', name_='ArrayType', fromsubclass_=False, pretty_print=True, *args)[source]
exportChildren_wrapper(outfile, level, namespace_='', name_='ArrayType', fromsubclass_=False, pretty_print=True, *args)[source]
export_wrapper(outfile, level, namespace_='', name_='ArrayType', namespacedef_='', pretty_print=True, *args)[source]
class PMML44.AssociationModel(modelName=None, functionName=None, algorithmName=None, numberOfTransactions=None, maxNumberOfItemsPerTA=None, avgNumberOfItemsPerTA=None, minimumSupport=None, minimumConfidence=None, lengthLimit=None, numberOfItems=None, numberOfItemsets=None, numberOfRules=None, isScorable=True, MiningSchema=None, Output=None, ModelStats=None, LocalTransformations=None, Item=None, Itemset=None, AssociationRule=None, ModelVerification=None, Extension=None)[source]

Bases: PMML44Super.AssociationModel

add_AssociationRule(value, *args)[source]
add_AssociationRule_wrapper(value, *args)[source]
add_Item(value, *args)[source]
add_Item_wrapper(value, *args)[source]
add_Itemset(value, *args)[source]
add_Itemset_wrapper(value, *args)[source]
insert_AssociationRule_at(index, value, *args)[source]
insert_AssociationRule_at_wrapper(index, value, *args)[source]
insert_Item_at(index, value, *args)[source]
insert_Item_at_wrapper(index, value, *args)[source]
insert_Itemset_at(index, value, *args)[source]
insert_Itemset_at_wrapper(index, value, *args)[source]
set_AssociationRule(Rules, *args)[source]
set_AssociationRule_wrapper(Rules, *args)[source]
set_Item(Item, *args)[source]
set_Item_wrapper(Item, *args)[source]
set_Itemset(Itemset, *args)[source]
set_Itemset_wrapper(Itemset, *args)[source]
class PMML44.AssociationRule(antecedent=None, consequent=None, support=None, confidence=None, lift=None, leverage=None, affinity=None, id=None, Extension=None)[source]

Bases: PMML44Super.AssociationRule

class PMML44.Attribute(reasonCode=None, partialScore=None, Extension=None, SimplePredicate=None, CompoundPredicate=None, SimpleSetPredicate=None, True_=None, False_=None, ComplexPartialScore=None)[source]

Bases: PMML44Super.Attribute

class PMML44.BaseCumHazardTables(maxTime=None, Extension=None, BaselineStratum=None, BaselineCell=None)[source]

Bases: PMML44Super.BaseCumHazardTables

class PMML44.Baseline(AnyDistribution=None, GaussianDistribution=None, PoissonDistribution=None, UniformDistribution=None, CountTable=None, NormalizedCountTable=None, FieldRef=None)[source]

Bases: PMML44Super.Baseline

class PMML44.BaselineCell(time=None, cumHazard=None, Extension=None)[source]

Bases: PMML44Super.BaselineCell

class PMML44.BaselineModel(modelName=None, functionName=None, algorithmName=None, isScorable=True, MiningSchema=None, Output=None, ModelStats=None, ModelExplanation=None, Targets=None, LocalTransformations=None, TestDistributions=None, ModelVerification=None, Extension=None)[source]

Bases: PMML44Super.BaselineModel

class PMML44.BaselineStratum(value=None, label=None, maxTime=None, Extension=None, BaselineCell=None)[source]

Bases: PMML44Super.BaselineStratum

class PMML44.BayesInput(fieldName=None, Extension=None, TargetValueStats=None, DerivedField=None, PairCounts=None)[source]

Bases: PMML44Super.BayesInput

class PMML44.BayesInputs(Extension=None, BayesInput=None)[source]

Bases: PMML44Super.BayesInputs

class PMML44.BayesOutput(fieldName=None, Extension=None, TargetValueCounts=None)[source]

Bases: PMML44Super.BayesOutput

class PMML44.BayesianNetworkModel(modelName=None, functionName=None, algorithmName=None, modelType='General', inferenceMethod='Other', isScorable=True, MiningSchema=None, Output=None, ModelStats=None, ModelExplanation=None, Targets=None, LocalTransformations=None, BayesianNetworkNodes=None, ModelVerification=None, Extension=None)[source]

Bases: PMML44Super.BayesianNetworkModel

class PMML44.BayesianNetworkNodes(Extension=None, DiscreteNode=None, ContinuousNode=None)[source]

Bases: PMML44Super.BayesianNetworkNodes

class PMML44.BlockIndicator(field=None, Extension=None)[source]

Bases: PMML44Super.BlockIndicator

class PMML44.BoundaryValueMeans(Extension=None, Array=None)[source]

Bases: PMML44Super.BoundaryValueMeans

class PMML44.BoundaryValues(Extension=None, Array=None)[source]

Bases: PMML44Super.BoundaryValues

class PMML44.COUNT_TABLE_TYPE(sample=None, Extension=None, FieldValue=None, FieldValueCount=None)[source]

Bases: PMML44Super.COUNT_TABLE_TYPE

class PMML44.CategoricalPredictor(name=None, value=None, coefficient=None, Extension=None)[source]

Bases: PMML44Super.CategoricalPredictor

class PMML44.Categories(Extension=None, Category=None)[source]

Bases: PMML44Super.Categories

class PMML44.Category(value=None, Extension=None)[source]

Bases: PMML44Super.Category

class PMML44.Characteristic(name=None, reasonCode=None, baselineScore=None, Extension=None, Attribute=None)[source]

Bases: PMML44Super.Characteristic

class PMML44.Characteristics(Extension=None, Characteristic=None)[source]

Bases: PMML44Super.Characteristics

class PMML44.ChildParent(childField=None, parentField=None, parentLevelField=None, isRecursive='no', Extension=None, FieldColumnPair=None, TableLocator=None, InlineTable=None)[source]

Bases: PMML44Super.ChildParent

class PMML44.ClassLabels(Extension=None, Array=None)[source]

Bases: PMML44Super.ClassLabels

class PMML44.Cluster(id=None, name=None, size=None, Extension=None, KohonenMap=None, Array=None, Partition=None, Covariances=None)[source]

Bases: PMML44Super.Cluster

class PMML44.ClusteringField(field=None, isCenterField='true', fieldWeight='1', similarityScale=None, compareFunction=None, Extension=None, Comparisons=None)[source]

Bases: PMML44Super.ClusteringField

class PMML44.ClusteringModel(modelName=None, functionName=None, algorithmName=None, modelClass=None, numberOfClusters=None, isScorable=True, MiningSchema=None, Output=None, ModelStats=None, ModelExplanation=None, LocalTransformations=None, ComparisonMeasure=None, ClusteringField=None, MissingValueWeights=None, Cluster=None, ModelVerification=None, Extension=None)[source]

Bases: PMML44Super.ClusteringModel

add_Cluster(value, *args)[source]
add_Cluster_wrapper(value, *args)[source]
insert_Cluster_at(index, value, *args)[source]
insert_Cluster_at_wrapper(index, value, *args)[source]
set_Cluster(Cluster, *args)[source]
set_Cluster_wrapper(Cluster, *args)[source]
class PMML44.ClusteringModelQuality(dataName=None, SSE=None, SSB=None, Extension=None)[source]

Bases: PMML44Super.ClusteringModelQuality

class PMML44.Coefficient(value='0', Extension=None)[source]

Bases: PMML44Super.Coefficient

class PMML44.Coefficients(numberOfCoefficients=None, absoluteValue='0', Extension=None, Coefficient=None)[source]

Bases: PMML44Super.Coefficients

add_Coefficient(value, *args)[source]
add_Coefficient_wrapper(value, *args)[source]
insert_Coefficient_at(index, value, *args)[source]
insert_Coefficient_at_wrapper(index, value, *args)[source]
set_Coefficient(Coefficient, *args)[source]
set_Coefficient_wrapper(Coefficient, *args)[source]
class PMML44.ComparisonMeasure(kind=None, compareFunction='absDiff', minimum=None, maximum=None, Extension=None, euclidean=None, squaredEuclidean=None, chebychev=None, cityBlock=None, minkowski=None, simpleMatching=None, jaccard=None, tanimoto=None, binarySimilarity=None)[source]

Bases: PMML44Super.ComparisonMeasure

class PMML44.Comparisons(Extension=None, Matrix=None)[source]

Bases: PMML44Super.Comparisons

class PMML44.ComplexPartialScore(Extension=None, FieldRef=None, Constant=None, NormContinuous=None, NormDiscrete=None, Discretize=None, MapValues=None, TextIndex=None, Apply=None, Aggregate=None, Lag=None)[source]

Bases: PMML44Super.ComplexPartialScore

class PMML44.CompoundPredicate(booleanOperator=None, Extension=None, SimplePredicate=None, CompoundPredicate_member=None, SimpleSetPredicate=None, True_=None, False_=None)[source]

Bases: PMML44Super.CompoundPredicate

class PMML44.CompoundRule(Extension=None, SimplePredicate=None, CompoundPredicate=None, SimpleSetPredicate=None, True_=None, False_=None, SimpleRule=None, CompoundRule_member=None)[source]

Bases: PMML44Super.CompoundRule

class PMML44.Con(from_=None, weight=None, Extension=None)[source]

Bases: PMML44Super.Con

class PMML44.ConfusionMatrix(Extension=None, ClassLabels=None, Matrix=None)[source]

Bases: PMML44Super.ConfusionMatrix

class PMML44.ConsequentSequence(Extension=None, SequenceReference=None, Time=None)[source]

Bases: PMML44Super.ConsequentSequence

class PMML44.Constant(dataType=None, valueOf_=None)[source]

Bases: PMML44Super.Constant

class PMML44.Constraints(minimumNumberOfItems='1', maximumNumberOfItems=None, minimumNumberOfAntecedentItems='1', maximumNumberOfAntecedentItems=None, minimumNumberOfConsequentItems='1', maximumNumberOfConsequentItems=None, minimumSupport='0', minimumConfidence='0', minimumLift='0', minimumTotalSequenceTime='0', maximumTotalSequenceTime=None, minimumItemsetSeparationTime='0', maximumItemsetSeparationTime=None, minimumAntConsSeparationTime='0', maximumAntConsSeparationTime=None, Extension=None)[source]

Bases: PMML44Super.Constraints

class PMML44.ContStats(totalValuesSum=None, totalSquaresSum=None, Extension=None, Interval=None, NUM_ARRAY=None)[source]

Bases: PMML44Super.ContStats

class PMML44.ContinuousConditionalProbability(count=None, Extension=None, ParentValue=None, ContinuousDistribution=None)[source]

Bases: PMML44Super.ContinuousConditionalProbability

class PMML44.ContinuousDistribution(Extension=None, TriangularDistributionForBN=None, NormalDistributionForBN=None, LognormalDistributionForBN=None, UniformDistributionForBN=None)[source]

Bases: PMML44Super.ContinuousDistribution

class PMML44.ContinuousNode(name=None, count=None, Extension=None, DerivedField=None, ContinuousConditionalProbability=None, ContinuousDistribution=None)[source]

Bases: PMML44Super.ContinuousNode

class PMML44.CorrelationFields(Extension=None, Array=None)[source]

Bases: PMML44Super.CorrelationFields

class PMML44.CorrelationMethods(Extension=None, Matrix=None)[source]

Bases: PMML44Super.CorrelationMethods

class PMML44.CorrelationValues(Extension=None, Matrix=None)[source]

Bases: PMML44Super.CorrelationValues

class PMML44.Correlations(Extension=None, CorrelationFields=None, CorrelationValues=None, CorrelationMethods=None)[source]

Bases: PMML44Super.Correlations

class PMML44.Counts(totalFreq=None, missingFreq=None, invalidFreq=None, cardinality=None, Extension=None)[source]

Bases: PMML44Super.Counts

class PMML44.Covariances(Extension=None, Matrix=None)[source]

Bases: PMML44Super.Covariances

class PMML44.CovariateList(Extension=None, Predictor=None)[source]

Bases: PMML44Super.CovariateList

class PMML44.DataDictionary(numberOfFields=None, Extension=None, DataField=None, Taxonomy=None)[source]

Bases: PMML44Super.DataDictionary

add_DataField(value, *args)[source]
add_DataField_wrapper(value, *args)[source]
insert_DataField_at(index, value, *args)[source]
insert_DataField_at_wrapper(index, value, *args)[source]
set_DataField(DataField, *args)[source]
set_DataField_wrapper(DataField, *args)[source]
class PMML44.DataField(name=None, displayName=None, optype=None, dataType=None, mimeType=None, taxonomy=None, isCyclic='0', Extension=None, Interval=None, Value=None)[source]

Bases: PMML44Super.DataField

class PMML44.Decision(value=None, displayValue=None, description=None, Extension=None)[source]

Bases: PMML44Super.Decision

class PMML44.DecisionTree(modelName=None, functionName=None, algorithmName=None, missingValueStrategy='none', missingValuePenalty='1.0', noTrueChildStrategy='returnNullPrediction', splitCharacteristic='multiSplit', Extension=None, Output=None, ModelStats=None, Targets=None, LocalTransformations=None, ResultField=None, Node=None)[source]

Bases: PMML44Super.DecisionTree

class PMML44.Decisions(businessProblem=None, description=None, Extension=None, Decision=None)[source]

Bases: PMML44Super.Decisions

class PMML44.DeepNetwork(modelName=None, functionName=None, algorithmName=None, normalizationMethod='none', numberOfLayers=None, isScorable=True, MiningSchema=None, Output=None, ModelStats=None, ModelExplanation=None, Targets=None, LocalTransformations=None, TrainingParameters=None, NetworkLayer=None, NeuralOutputs=None, ModelVerification=None, Extension=None)[source]

Bases: PMML44Super.DeepNetwork

add_NetworkLayer(value, *args)[source]
add_NetworkLayer_wrapper(value, *args)[source]
insert_NetworkLayer_at(index, value, *args)[source]
insert_NetworkLayer_at_wrapper(index, value, *args)[source]
set_NetworkLayer(NetworkLayer, *args)[source]
set_NetworkLayer_wrapper(NetworkLayer, *args)[source]
class PMML44.DefineFunction(name=None, optype=None, dataType=None, Extension=None, ParameterField=None, FieldRef=None, Constant=None, NormContinuous=None, NormDiscrete=None, Discretize=None, MapValues=None, TextIndex=None, Apply=None, Aggregate=None, Lag=None)[source]

Bases: PMML44Super.DefineFunction

class PMML44.Delimiter(delimiter=None, gap=None, Extension=None)[source]

Bases: PMML44Super.Delimiter

class PMML44.Denominator(Extension=None, NonseasonalFactor=None, SeasonalFactor=None)[source]

Bases: PMML44Super.Denominator

class PMML44.DerivedField(name=None, displayName=None, optype=None, dataType=None, datasetName=None, trainingBackend=None, architectureName=None, Extension=None, FieldRef=None, Constant=None, NormContinuous=None, NormDiscrete=None, Discretize=None, MapValues=None, TextIndex=None, Apply=None, Aggregate=None, Lag=None, Value=None)[source]

Bases: PMML44Super.DerivedField

class PMML44.DiscrStats(modalValue=None, Extension=None, Array=None)[source]

Bases: PMML44Super.DiscrStats

class PMML44.DiscreteConditionalProbability(count=None, Extension=None, ParentValue=None, ValueProbability=None)[source]

Bases: PMML44Super.DiscreteConditionalProbability

class PMML44.DiscreteNode(name=None, count=None, Extension=None, DerivedField=None, DiscreteConditionalProbability=None, ValueProbability=None)[source]

Bases: PMML44Super.DiscreteNode

class PMML44.Discretize(field=None, mapMissingTo=None, defaultValue=None, dataType=None, Extension=None, DiscretizeBin=None)[source]

Bases: PMML44Super.Discretize

class PMML44.DiscretizeBin(binValue=None, Extension=None, Interval=None)[source]

Bases: PMML44Super.DiscretizeBin

class PMML44.DocumentTermMatrix(Extension=None, Matrix=None)[source]

Bases: PMML44Super.DocumentTermMatrix

class PMML44.DynamicRegressor(field=None, transformation='none', delay='0', futureValuesMethod='constant', targetField=None, Extension=None, Numerator=None, Denominator=None, RegressorValues=None)[source]

Bases: PMML44Super.DynamicRegressor

class PMML44.EventValues(Extension=None, Value=None, Interval=None)[source]

Bases: PMML44Super.EventValues

class PMML44.ExponentialSmoothing(RMSE=None, transformation='none', Level=None, Trend_ExpoSmooth=None, Seasonality_ExpoSmooth=None, TimeValue=None)[source]

Bases: PMML44Super.ExponentialSmoothing

class PMML44.Extension(extender=None, name=None, value=None, anytypeobjs_=None)[source]

Bases: PMML44Super.Extension

build(node, *args)[source]
build_wrapper(node, *args)[source]
class PMML44.FactorList(Extension=None, Predictor=None)[source]

Bases: PMML44Super.FactorList

class PMML44.False_(Extension=None)[source]

Bases: PMML44Super.False_

class PMML44.FieldColumnPair(field=None, column=None, Extension=None)[source]

Bases: PMML44Super.FieldColumnPair

class PMML44.FieldRef(field=None, mapMissingTo=None, Extension=None)[source]

Bases: PMML44Super.FieldRef

class PMML44.FieldValue(field=None, value=None, Extension=None, FieldValue_member=None, FieldValueCount=None)[source]

Bases: PMML44Super.FieldValue

class PMML44.FieldValueCount(field=None, value=None, count=None, Extension=None)[source]

Bases: PMML44Super.FieldValueCount

class PMML44.FinalNoise(Array=None)[source]

Bases: PMML44Super.FinalNoise

class PMML44.FinalNu(Array=None)[source]

Bases: PMML44Super.FinalNu

class PMML44.FinalOmega(Matrix=None)[source]

Bases: PMML44Super.FinalOmega

class PMML44.FinalPredictedNoise(Array=None)[source]

Bases: PMML44Super.FinalPredictedNoise

class PMML44.FinalStateVector(Array=None)[source]

Bases: PMML44Super.FinalStateVector

class PMML44.FinalTheta(Theta=None)[source]

Bases: PMML44Super.FinalTheta

class PMML44.GARCH(Extension=None, ARMAPart=None, GARCHPart=None)[source]

Bases: PMML44Super.GARCH

class PMML44.GARCHPart(constant='0', gp=None, gq=None, Extension=None, ResidualSquareCoefficients=None, VarianceCoefficients=None)[source]

Bases: PMML44Super.GARCHPart

class PMML44.GaussianDistribution(mean=None, variance=None, Extension=None)[source]

Bases: PMML44Super.GaussianDistribution

class PMML44.GaussianProcessModel(modelName=None, functionName=None, algorithmName=None, optimizer=None, isScorable=True, MiningSchema=None, Output=None, ModelStats=None, ModelExplanation=None, Targets=None, LocalTransformations=None, RadialBasisKernel=None, ARDSquaredExponentialKernel=None, AbsoluteExponentialKernel=None, GeneralizedExponentialKernel=None, TrainingInstances=None, ModelVerification=None, Extension=None)[source]

Bases: PMML44Super.GaussianProcessModel

class PMML44.GeneralRegressionModel(targetVariableName=None, modelType=None, modelName=None, functionName=None, algorithmName=None, targetReferenceCategory=None, cumulativeLink=None, linkFunction=None, linkParameter=None, trialsVariable=None, trialsValue=None, distribution=None, distParameter=None, offsetVariable=None, offsetValue=None, modelDF=None, endTimeVariable=None, startTimeVariable=None, subjectIDVariable=None, statusVariable=None, baselineStrataVariable=None, isScorable=True, MiningSchema=None, Output=None, ModelStats=None, ModelExplanation=None, Targets=None, LocalTransformations=None, ParameterList=None, FactorList=None, CovariateList=None, PPMatrix=None, PCovMatrix=None, ParamMatrix=None, EventValues=None, BaseCumHazardTables=None, ModelVerification=None, Extension=None)[source]

Bases: PMML44Super.GeneralRegressionModel

class PMML44.GeneralizedExponentialKernel(description=None, gamma='1', noiseVariance='1', degree='1', Extension=None, Lambda=None)[source]

Bases: PMML44Super.GeneralizedExponentialKernel

class PMML44.HVector(Array=None)[source]

Bases: PMML44Super.HVector

class PMML44.Header(copyright=None, description=None, modelVersion=None, Extension=None, Application=None, Annotation=None, Timestamp=None)[source]

Bases: PMML44Super.Header

exportAttributes(outfile, level, already_processed, namespace_='', name_='Header', *args)[source]
exportAttributes_wrapper(outfile, level, already_processed, namespace_='', name_='Header', *args)[source]
class PMML44.INT_SparseArray(n=None, defaultValue='0', Indices=None, INT_Entries=None)[source]

Bases: PMML44Super.INT_SparseArray

class PMML44.InlineTable(Extension=None, row=None)[source]

Bases: PMML44Super.InlineTable

class PMML44.InstanceField(field=None, column=None, Extension=None)[source]

Bases: PMML44Super.InstanceField

class PMML44.InstanceFields(Extension=None, InstanceField=None)[source]

Bases: PMML44Super.InstanceFields

class PMML44.Interval(closure=None, leftMargin=None, rightMargin=None, Extension=None)[source]

Bases: PMML44Super.Interval

class PMML44.Item(id=None, value=None, field=None, category=None, mappedValue=None, weight=None, Extension=None)[source]

Bases: PMML44Super.Item

class PMML44.ItemRef(itemRef=None, Extension=None)[source]

Bases: PMML44Super.ItemRef

class PMML44.Itemset(id=None, support=None, numberOfItems=None, Extension=None, ItemRef=None)[source]

Bases: PMML44Super.Itemset

add_ItemRef(value, *args)[source]
add_ItemRef_wrapper(value, *args)[source]
insert_ItemRef_at(index, value, *args)[source]
insert_ItemRef_at_wrapper(index, value, *args)[source]
set_ItemRef(ItemRef, *args)[source]
set_ItemRef_wrapper(ItemRef, *args)[source]
class PMML44.KNNInput(field=None, fieldWeight='1', compareFunction=None, Extension=None)[source]

Bases: PMML44Super.KNNInput

class PMML44.KNNInputs(Extension=None, KNNInput=None)[source]

Bases: PMML44Super.KNNInputs

class PMML44.KalmanState(FinalOmega=None, FinalStateVector=None, HVector=None)[source]

Bases: PMML44Super.KalmanState

class PMML44.KohonenMap(coord1=None, coord2=None, coord3=None, Extension=None)[source]

Bases: PMML44Super.KohonenMap

class PMML44.Lag(field=None, n=1, aggregate='none', Extension=None, BlockIndicator=None)[source]

Bases: PMML44Super.Lag

class PMML44.Lambda(Extension=None, Array=None)[source]

Bases: PMML44Super.Lambda

class PMML44.LayerBias(biasShape=None, biasFlattenAxis=None, content=None, floatType='float32', floatsPerLine=12, src=None, Extension=None, mixedclass_=None)[source]

Bases: PMML44Super.LayerBias

export(outfile, level, namespace_='', name_='LayerBias', namespacedef_='', pretty_print=True, *args)[source]
export_wrapper(outfile, level, namespace_='', name_='LayerBias', namespacedef_='', pretty_print=True, *args)[source]
weights(*args)[source]
weights_wrapper(*args)[source]
class PMML44.LayerParameters(activationFunction=None, inputDimension=None, outputDimension=None, featureMaps=None, kernel=None, pad=None, stride=None, dilationRate=None, poolSize=None, depthMultiplier=None, paddingDims=None, croppingDims=None, upsamplingSize=None, batchNormalizationEpsilon=None, flattenAxis=None, batchNormalizationAxis=None, batchNormalizationMomentum=None, batchNormalizationCenter=None, batchNormalizationScale=None, gaussianNoiseStdev=None, gaussianDropoutRate=None, alphaDropoutRate=None, alphaDropoutSeed=None, betaInitializer=None, gammaInitializer=None, movingMeanInitializer=None, movingVarianceInitializer=None, betaRegularizer=None, gammaRegularizer=None, betaConstraint=None, gammaConstraint=None, kernelInitializer=None, biasInitializer=None, kernelRegularizer=None, biasRegularizer=None, kernelConstraint=None, biasConstraint=None, depthwiseConstraint=None, pointwiseConstraint=None, batchSize=None, dropoutRate=None, dropoutNoiseShape=None, dropoutSeed=None, generalLUAlpha=None, reshapeTarget=None, permuteDims=None, repeatVectorTimes=None, activityRegularizerL1=None, activityRegularizerL2=None, maskValue=None, mergeLayerOp=None, mergeLayerDotOperationAxis=None, mergeLayerDotNormalize=None, mergeLayerConcatOperationAxes=None, slicingAxis=None, Extension=None)[source]

Bases: PMML44Super.LayerParameters

class PMML44.LayerWeights(weightsShape=None, weightsFlattenAxis=None, content=None, floatType='float32', floatsPerLine=12, src=None, Extension=None, mixedclass_=None)[source]

Bases: PMML44Super.LayerWeights

export(outfile, level, namespace_='', name_='LayerWeights', namespacedef_='', pretty_print=True, *args)[source]
export_wrapper(outfile, level, namespace_='', name_='LayerWeights', namespacedef_='', pretty_print=True, *args)[source]
weights(*args)[source]
weights_wrapper(*args)[source]
class PMML44.Level(alpha=None, smoothedValue=None)[source]

Bases: PMML44Super.Level

class PMML44.LiftData(targetFieldValue=None, targetFieldDisplayValue=None, rankingQuality=None, Extension=None, ModelLiftGraph=None, OptimumLiftGraph=None, RandomLiftGraph=None)[source]

Bases: PMML44Super.LiftData

class PMML44.LiftGraph(Extension=None, XCoordinates=None, YCoordinates=None, BoundaryValues=None, BoundaryValueMeans=None)[source]

Bases: PMML44Super.LiftGraph

class PMML44.LinearKernelType(description=None, Extension=None)[source]

Bases: PMML44Super.LinearKernelType

class PMML44.LinearNorm(orig=None, norm=None, Extension=None)[source]

Bases: PMML44Super.LinearNorm

class PMML44.LocalTransformations(Extension=None, DerivedField=None)[source]

Bases: PMML44Super.LocalTransformations

class PMML44.LognormalDistributionForBN(Extension=None, Mean=None, Variance=None)[source]

Bases: PMML44Super.LognormalDistributionForBN

class PMML44.Losses(loss=None, Extension=None)[source]

Bases: PMML44Super.Losses

class PMML44.Lower(Extension=None, FieldRef=None, Constant=None, NormContinuous=None, NormDiscrete=None, Discretize=None, MapValues=None, TextIndex=None, Apply=None, Aggregate=None, Lag=None)[source]

Bases: PMML44Super.Lower

class PMML44.MA(Extension=None, MACoefficients=None, Residuals=None)[source]

Bases: PMML44Super.MA

class PMML44.MACoefficients(Extension=None, Array=None)[source]

Bases: PMML44Super.MACoefficients

class PMML44.MapValues(mapMissingTo=None, defaultValue=None, outputColumn=None, dataType=None, Extension=None, FieldColumnPair=None, TableLocator=None, InlineTable=None)[source]

Bases: PMML44Super.MapValues

class PMML44.MatCell(row=None, col=None, valueOf_=None)[source]

Bases: PMML44Super.MatCell

class PMML44.Matrix(kind='any', nbRows=None, nbCols=None, diagDefault=None, offDiagDefault=None, Array=None, MatCell=None)[source]

Bases: PMML44Super.Matrix

class PMML44.MaximumLikelihoodStat(method=None, periodDeficit='0', KalmanState=None, ThetaRecursionState=None)[source]

Bases: PMML44Super.MaximumLikelihoodStat

class PMML44.Mean(Extension=None, FieldRef=None, Constant=None, NormContinuous=None, NormDiscrete=None, Discretize=None, MapValues=None, TextIndex=None, Apply=None, Aggregate=None, Lag=None)[source]

Bases: PMML44Super.Mean

class PMML44.MeasurementMatrix(Extension=None, Matrix=None)[source]

Bases: PMML44Super.MeasurementMatrix

class PMML44.Metrics(top_k_categories_for_accuracy=None, metric=None, Extension=None)[source]

Bases: PMML44Super.Metrics

class PMML44.MiningBuildTask(Extension=None)[source]

Bases: PMML44Super.MiningBuildTask

class PMML44.MiningField(name=None, usageType='active', optype=None, importance=None, outliers='asIs', lowValue=None, highValue=None, missingValueReplacement=None, missingValueTreatment=None, invalidValueTreatment='returnInvalid', invalidValueReplacement=None, Extension=None)[source]

Bases: PMML44Super.MiningField

exportAttributes(outfile, level, already_processed, namespace_='', name_='MiningField', *args)[source]
exportAttributes_wrapper(outfile, level, already_processed, namespace_='', name_='MiningField', *args)[source]
class PMML44.MiningModel(modelName=None, functionName=None, algorithmName=None, isScorable=True, MiningSchema=None, Output=None, ModelStats=None, ModelExplanation=None, Targets=None, LocalTransformations=None, Regression=None, DecisionTree=None, Segmentation=None, ModelVerification=None, Extension=None)[source]

Bases: PMML44Super.MiningModel

class PMML44.MiningSchema(Extension=None, MiningField=None)[source]

Bases: PMML44Super.MiningSchema

class PMML44.MissingValueWeights(Extension=None, Array=None)[source]

Bases: PMML44Super.MissingValueWeights

class PMML44.ModelExplanation(Extension=None, PredictiveModelQuality=None, ClusteringModelQuality=None, Correlations=None)[source]

Bases: PMML44Super.ModelExplanation

class PMML44.ModelLiftGraph(Extension=None, LiftGraph=None)[source]

Bases: PMML44Super.ModelLiftGraph

class PMML44.ModelStats(Extension=None, UnivariateStats=None, MultivariateStats=None)[source]

Bases: PMML44Super.ModelStats

class PMML44.ModelVerification(recordCount=None, fieldCount=None, Extension=None, VerificationFields=None, InlineTable=None)[source]

Bases: PMML44Super.ModelVerification

class PMML44.MultivariateStat(name=None, category=None, exponent='1', isIntercept=False, importance=None, stdError=None, tValue=None, chiSquareValue=None, fStatistic=None, dF=None, pValueAlpha=None, pValueInitial=None, pValueFinal=None, confidenceLevel='0.95', confidenceLowerBound=None, confidenceUpperBound=None, Extension=None)[source]

Bases: PMML44Super.MultivariateStat

class PMML44.MultivariateStats(targetCategory=None, Extension=None, MultivariateStat=None)[source]

Bases: PMML44Super.MultivariateStats

class PMML44.Nadam(learningRate=None, beta_1=None, beta_2=None, schedule_decay=None, epsilon=None, Extension=None)[source]

Bases: PMML44Super.Nadam

class PMML44.NaiveBayesModel(modelName=None, threshold=None, functionName=None, algorithmName=None, isScorable=True, MiningSchema=None, Output=None, ModelStats=None, ModelExplanation=None, Targets=None, LocalTransformations=None, BayesInputs=None, BayesOutput=None, ModelVerification=None, Extension=None)[source]

Bases: PMML44Super.NaiveBayesModel

class PMML44.NearestNeighborModel(modelName=None, functionName=None, algorithmName=None, numberOfNeighbors=None, continuousScoringMethod='average', categoricalScoringMethod='majorityVote', instanceIdVariable=None, threshold='0.001', isScorable=True, MiningSchema=None, Output=None, ModelStats=None, ModelExplanation=None, Targets=None, LocalTransformations=None, TrainingInstances=None, ComparisonMeasure=None, KNNInputs=None, ModelVerification=None, Extension=None)[source]

Bases: PMML44Super.NearestNeighborModel

class PMML44.NetworkLayer(normalizationMethod='none', layerType=None, layerId=None, connectionLayerId=None, inputFieldName=None, Extension=None, LayerParameters=None, LayerWeights=None, LayerBias=None)[source]

Bases: PMML44Super.NetworkLayer

class PMML44.NeuralInput(id=None, Extension=None, DerivedField=None)[source]

Bases: PMML44Super.NeuralInput

class PMML44.NeuralInputs(numberOfInputs=None, Extension=None, NeuralInput=None)[source]

Bases: PMML44Super.NeuralInputs

add_NeuralInput(value, *args)[source]
add_NeuralInput_wrapper(value, *args)[source]
insert_NeuralInput_at(index, value, *args)[source]
insert_NeuralInput_at_wrapper(index, value, *args)[source]
set_NeuralInput(NeuralInput, *args)[source]
set_NeuralInput_wrapper(NeuralInput, *args)[source]
class PMML44.NeuralLayer(numberOfNeurons=None, activationFunction=None, threshold=None, width=None, altitude=None, normalizationMethod=None, Extension=None, Neuron=None)[source]

Bases: PMML44Super.NeuralLayer

add_Neuron(value, *args)[source]
add_Neuron_wrapper(value, *args)[source]
insert_Neuron_at(index, value, *args)[source]
insert_Neuron_at_wrapper(index, value, *args)[source]
set_Neuron(Neuron, *args)[source]
set_Neuron_wrapper(Neuron, *args)[source]
class PMML44.NeuralNetwork(modelName=None, functionName=None, algorithmName=None, activationFunction=None, normalizationMethod='none', threshold='0', width=None, altitude='1.0', numberOfLayers=None, isScorable=True, MiningSchema=None, Output=None, ModelStats=None, ModelExplanation=None, Targets=None, LocalTransformations=None, NeuralInputs=None, NeuralLayer=None, NeuralOutputs=None, ModelVerification=None, Extension=None)[source]

Bases: PMML44Super.NeuralNetwork

add_NeuralLayer(value, *args)[source]
add_NeuralLayer_wrapper(value, *args)[source]
insert_NeuralLayer_at(index, value, *args)[source]
insert_NeuralLayer_at_wrapper(index, value, *args)[source]
set_NeuralLayer(NeuralLayer, *args)[source]
set_NeuralLayer_wrapper(NeuralLayer, *args)[source]
class PMML44.NeuralOutput(outputNeuron=None, Extension=None, DerivedField=None)[source]

Bases: PMML44Super.NeuralOutput

class PMML44.NeuralOutputs(numberOfOutputs=None, Extension=None, NeuralOutput=None)[source]

Bases: PMML44Super.NeuralOutputs

add_NeuralOutput(value, *args)[source]
add_NeuralOutput_wrapper(value, *args)[source]
insert_NeuralOutput_at(index, value, *args)[source]
insert_NeuralOutput_at_wrapper(index, value, *args)[source]
set_NeuralOutput(NeuralOutput, *args)[source]
set_NeuralOutput_wrapper(NeuralOutput, *args)[source]
class PMML44.Neuron(id=None, bias=None, width=None, altitude=None, Extension=None, Con=None)[source]

Bases: PMML44Super.Neuron

class PMML44.Node(id=None, score=None, recordCount=None, defaultChild=None, SimplePredicate=None, CompoundPredicate=None, SimpleSetPredicate=None, True_=None, False_=None, Partition=None, ScoreDistribution=None, Node_member=None, Extension=None, Regression=None, DecisionTree=None)[source]

Bases: PMML44Super.Node

class PMML44.NonseasonalComponent(p=None, d=None, q=None, Extension=None, AR=None, MA=None)[source]

Bases: PMML44Super.NonseasonalComponent

class PMML44.NonseasonalFactor(difference='0', maximumOrder=None, Extension=None, Array=None)[source]

Bases: PMML44Super.NonseasonalFactor

class PMML44.NormContinuous(mapMissingTo=None, field=None, outliers='asIs', Extension=None, LinearNorm=None)[source]

Bases: PMML44Super.NormContinuous

class PMML44.NormDiscrete(field=None, value=None, mapMissingTo=None, Extension=None)[source]

Bases: PMML44Super.NormDiscrete

class PMML44.NormalDistributionForBN(Extension=None, Mean=None, Variance=None)[source]

Bases: PMML44Super.NormalDistributionForBN

class PMML44.Numerator(Extension=None, NonseasonalFactor=None, SeasonalFactor=None)[source]

Bases: PMML44Super.Numerator

class PMML44.NumericInfo(minimum=None, maximum=None, mean=None, standardDeviation=None, median=None, interQuartileRange=None, Extension=None, Quantile=None)[source]

Bases: PMML44Super.NumericInfo

class PMML44.NumericPredictor(name=None, exponent='1', coefficient=None, Extension=None)[source]

Bases: PMML44Super.NumericPredictor

class PMML44.Optimizers(clipnorm=None, clipvalue=None, Extension=None, SGD=None, RMSprop=None, Adagrad=None, Adadelta=None, Adam=None, Adamax=None, Nadam=None)[source]

Bases: PMML44Super.Optimizers

class PMML44.OptimumLiftGraph(Extension=None, LiftGraph=None)[source]

Bases: PMML44Super.OptimumLiftGraph

class PMML44.OutlierEffect(type_=None, startTime=None, magnitude=None, dampingCoefficient=None, Extension=None)[source]

Bases: PMML44Super.OutlierEffect

class PMML44.Output(Extension=None, OutputField=None)[source]

Bases: PMML44Super.Output

class PMML44.OutputField(name=None, displayName=None, optype=None, dataType=None, targetField=None, feature='predictedValue', value=None, numTopCategories=None, threshold=None, ruleFeature='consequent', algorithm='exclusiveRecommendation', rank='1', rankBasis='confidence', rankOrder='descending', isMultiValued='0', segmentId=None, isFinalResult=True, Extension=None, Decisions=None, FieldRef=None, Constant=None, NormContinuous=None, NormDiscrete=None, Discretize=None, MapValues=None, TextIndex=None, Apply=None, Aggregate=None, Lag=None)[source]

Bases: PMML44Super.OutputField

exportAttributes(outfile, level, already_processed, namespace_='', name_='OutputFields', *args)[source]
exportAttributes_wrapper(outfile, level, already_processed, namespace_='', name_='OutputFields', *args)[source]
class PMML44.PCell(targetCategory=None, parameterName=None, beta=None, df=None, Extension=None)[source]

Bases: PMML44Super.PCell

class PMML44.PCovCell(pRow=None, pCol=None, tRow=None, tCol=None, value=None, targetCategory=None, Extension=None)[source]

Bases: PMML44Super.PCovCell

class PMML44.PCovMatrix(type_=None, Extension=None, PCovCell=None)[source]

Bases: PMML44Super.PCovMatrix

class PMML44.PMML(version='4.4', Header=None, MiningBuildTask=None, DataDictionary=None, TransformationDictionary=None, AssociationModel=None, AnomalyDetectionModel=None, BayesianNetworkModel=None, BaselineModel=None, ClusteringModel=None, DeepNetwork=None, GaussianProcessModel=None, GeneralRegressionModel=None, MiningModel=None, NaiveBayesModel=None, NearestNeighborModel=None, NeuralNetwork=None, RegressionModel=None, RuleSetModel=None, SequenceModel=None, Scorecard=None, SupportVectorMachineModel=None, TextModel=None, TimeSeriesModel=None, TreeModel=None, Extension=None)[source]

Bases: PMML44Super.PMML

export(outfile, level, namespace_='', name_='PMML', namespacedef_='', pretty_print=True, *args)[source]
export_wrapper(outfile, level, namespace_='', name_='PMML', namespacedef_='', pretty_print=True, *args)[source]
class PMML44.PPCell(value=None, predictorName=None, parameterName=None, targetCategory=None, Extension=None)[source]

Bases: PMML44Super.PPCell

class PMML44.PPMatrix(Extension=None, PPCell=None)[source]

Bases: PMML44Super.PPMatrix

class PMML44.PairCounts(value=None, Extension=None, TargetValueCounts=None)[source]

Bases: PMML44Super.PairCounts

class PMML44.ParamMatrix(Extension=None, PCell=None)[source]

Bases: PMML44Super.ParamMatrix

class PMML44.Parameter(name=None, value=None, label=None, referencePoint='0', Extension=None)[source]

Bases: PMML44Super.Parameter

class PMML44.ParameterField(name=None, optype=None, dataType=None, displayName=None)[source]

Bases: PMML44Super.ParameterField

class PMML44.ParameterList(Extension=None, Parameter=None)[source]

Bases: PMML44Super.ParameterList

class PMML44.ParentValue(parent=None, value=None, Extension=None)[source]

Bases: PMML44Super.ParentValue

class PMML44.Partition(name=None, size=None, Extension=None, PartitionFieldStats=None)[source]

Bases: PMML44Super.Partition

class PMML44.PartitionFieldStats(field=None, weighted='0', Extension=None, Counts=None, NumericInfo=None, Array=None)[source]

Bases: PMML44Super.PartitionFieldStats

class PMML44.PastVariances(Extension=None, Array=None)[source]

Bases: PMML44Super.PastVariances

class PMML44.PoissonDistribution(mean=None, Extension=None)[source]

Bases: PMML44Super.PoissonDistribution

class PMML44.PolynomialKernelType(description=None, gamma='1', coef0='1', degree='1', Extension=None)[source]

Bases: PMML44Super.PolynomialKernelType

class PMML44.PredictiveModelQuality(targetField=None, dataName=None, dataUsage='training', meanError=None, meanAbsoluteError=None, meanSquaredError=None, rootMeanSquaredError=None, r_squared=None, adj_r_squared=None, sumSquaredError=None, sumSquaredRegression=None, numOfRecords=None, numOfRecordsWeighted=None, numOfPredictors=None, degreesOfFreedom=None, fStatistic=None, AIC=None, BIC=None, AICc=None, Extension=None, ConfusionMatrix=None, LiftData=None, ROC=None)[source]

Bases: PMML44Super.PredictiveModelQuality

class PMML44.Predictor(name=None, contrastMatrixType=None, Extension=None, Categories=None, Matrix=None)[source]

Bases: PMML44Super.Predictor

class PMML44.PredictorTerm(name=None, coefficient=None, Extension=None, FieldRef=None)[source]

Bases: PMML44Super.PredictorTerm

class PMML44.PsiVector(targetField=None, variance=None, Extension=None, Array=None)[source]

Bases: PMML44Super.PsiVector

class PMML44.Quantile(quantileLimit=None, quantileValue=None, Extension=None)[source]

Bases: PMML44Super.Quantile

class PMML44.REAL_SparseArray(n=None, defaultValue='0', Indices=None, REAL_Entries=None)[source]

Bases: PMML44Super.REAL_SparseArray

class PMML44.RMSprop(learningRate=None, rho=None, decayRate=None, epsilon=None, Extension=None)[source]

Bases: PMML44Super.RMSprop

class PMML44.ROC(positiveTargetFieldValue=None, positiveTargetFieldDisplayValue=None, negativeTargetFieldValue=None, negativeTargetFieldDisplayValue=None, Extension=None, ROCGraph=None)[source]

Bases: PMML44Super.ROC

class PMML44.ROCGraph(Extension=None, XCoordinates=None, YCoordinates=None, BoundaryValues=None)[source]

Bases: PMML44Super.ROCGraph

class PMML44.RadialBasisKernel(description=None, gamma='1', noiseVariance='1', lambda_='1', Extension=None)[source]

Bases: PMML44Super.RadialBasisKernel

class PMML44.RadialBasisKernelType(description=None, gamma='1', Extension=None)[source]

Bases: PMML44Super.RadialBasisKernelType

class PMML44.RandomLiftGraph(Extension=None, LiftGraph=None)[source]

Bases: PMML44Super.RandomLiftGraph

class PMML44.Regression(modelName=None, functionName=None, algorithmName=None, normalizationMethod='none', Extension=None, Output=None, ModelStats=None, Targets=None, LocalTransformations=None, ResultField=None, RegressionTable=None)[source]

Bases: PMML44Super.Regression

class PMML44.RegressionModel(modelName=None, functionName=None, algorithmName=None, modelType=None, targetFieldName=None, normalizationMethod='none', isScorable=True, MiningSchema=None, Output=None, ModelStats=None, ModelExplanation=None, Targets=None, LocalTransformations=None, RegressionTable=None, ModelVerification=None, Extension=None)[source]

Bases: PMML44Super.RegressionModel

class PMML44.RegressionTable(intercept=None, targetCategory=None, Extension=None, NumericPredictor=None, CategoricalPredictor=None, PredictorTerm=None)[source]

Bases: PMML44Super.RegressionTable

class PMML44.RegressorValues(Extension=None, TimeSeries=None, TrendCoefficients=None, TransferFunctionValues=None)[source]

Bases: PMML44Super.RegressorValues

class PMML44.ResidualSquareCoefficients(Extension=None, Residuals=None, MACoefficients=None)[source]

Bases: PMML44Super.ResidualSquareCoefficients

class PMML44.Residuals(Extension=None, Array=None)[source]

Bases: PMML44Super.Residuals

class PMML44.ResultField(name=None, displayName=None, optype=None, dataType=None, feature=None, value=None, Extension=None)[source]

Bases: PMML44Super.ResultField

class PMML44.RuleSelectionMethod(criterion=None, Extension=None)[source]

Bases: PMML44Super.RuleSelectionMethod

class PMML44.RuleSet(recordCount=None, nbCorrect=None, defaultScore=None, defaultConfidence=None, Extension=None, RuleSelectionMethod=None, ScoreDistribution=None, SimpleRule=None, CompoundRule=None)[source]

Bases: PMML44Super.RuleSet

class PMML44.RuleSetModel(modelName=None, functionName=None, algorithmName=None, isScorable=True, MiningSchema=None, Output=None, ModelStats=None, ModelExplanation=None, Targets=None, LocalTransformations=None, RuleSet=None, ModelVerification=None, Extension=None)[source]

Bases: PMML44Super.RuleSetModel

class PMML44.SGD(learningRate=None, momentum=None, decayRate=None, nesterov=None, Extension=None)[source]

Bases: PMML44Super.SGD

class PMML44.ScoreDistribution(value=None, recordCount=None, confidence=None, probability=None, Extension=None)[source]

Bases: PMML44Super.ScoreDistribution

class PMML44.Scorecard(modelName=None, functionName=None, algorithmName=None, initialScore='0', useReasonCodes=True, reasonCodeAlgorithm='pointsBelow', baselineScore=None, baselineMethod='other', isScorable=True, MiningSchema=None, Output=None, ModelStats=None, ModelExplanation=None, Targets=None, LocalTransformations=None, Characteristics=None, ModelVerification=None, Extension=None)[source]

Bases: PMML44Super.Scorecard

class PMML44.SeasonalComponent(P=None, D=None, Q=None, period=None, Extension=None, AR=None, MA=None)[source]

Bases: PMML44Super.SeasonalComponent

class PMML44.SeasonalFactor(difference='0', maximumOrder=None, Extension=None, Array=None)[source]

Bases: PMML44Super.SeasonalFactor

class PMML44.SeasonalTrendDecomposition[source]

Bases: PMML44Super.SeasonalTrendDecomposition

class PMML44.Seasonality_ExpoSmooth(type_=None, period=None, unit=None, phase=None, delta=None, Array=None)[source]

Bases: PMML44Super.Seasonality_ExpoSmooth

class PMML44.Segment(id=None, weight='1', Extension=None, SimplePredicate=None, CompoundPredicate=None, SimpleSetPredicate=None, True_=None, False_=None, AssociationModel=None, BayesianNetworkModel=None, BaselineModel=None, ClusteringModel=None, DeepNetwork=None, AnomalyDetectionModel=None, GaussianProcessModel=None, GeneralRegressionModel=None, MiningModel=None, NaiveBayesModel=None, NearestNeighborModel=None, NeuralNetwork=None, RegressionModel=None, RuleSetModel=None, SequenceModel=None, Scorecard=None, SupportVectorMachineModel=None, TextModel=None, TimeSeriesModel=None, TreeModel=None, VariableWeight=None)[source]

Bases: PMML44Super.Segment

class PMML44.Segmentation(multipleModelMethod=None, missingThreshold='1', Extension=None, Segment=None)[source]

Bases: PMML44Super.Segmentation

class PMML44.Sequence(id=None, numberOfSets=None, occurrence=None, support=None, Extension=None, Delimiter=None, SetReference=None, Time=None)[source]

Bases: PMML44Super.Sequence

class PMML44.SequenceModel(modelName=None, functionName=None, algorithmName=None, numberOfTransactions=None, maxNumberOfItemsPerTransaction=None, avgNumberOfItemsPerTransaction=None, numberOfTransactionGroups=None, maxNumberOfTAsPerTAGroup=None, avgNumberOfTAsPerTAGroup=None, isScorable=True, MiningSchema=None, ModelStats=None, LocalTransformations=None, Constraints=None, Item=None, Itemset=None, SetPredicate=None, Sequence=None, SequenceRule=None, Extension=None)[source]

Bases: PMML44Super.SequenceModel

class PMML44.SequenceReference(seqId=None, Extension=None)[source]

Bases: PMML44Super.SequenceReference

class PMML44.SequenceRule(id=None, numberOfSets=None, occurrence=None, support=None, confidence=None, lift=None, Extension=None, AntecedentSequence=None, Delimiter=None, ConsequentSequence=None, Time=None)[source]

Bases: PMML44Super.SequenceRule

class PMML44.SetPredicate(id=None, field=None, operator=None, Extension=None, Array=None)[source]

Bases: PMML44Super.SetPredicate

class PMML44.SetReference(setId=None, Extension=None)[source]

Bases: PMML44Super.SetReference

class PMML44.SigmoidKernelType(description=None, gamma='1', coef0='1', Extension=None)[source]

Bases: PMML44Super.SigmoidKernelType

class PMML44.SimplePredicate(field=None, operator=None, value=None, Extension=None)[source]

Bases: PMML44Super.SimplePredicate

class PMML44.SimpleRule(id=None, score=None, recordCount=None, nbCorrect=None, confidence='1', weight='1', Extension=None, SimplePredicate=None, CompoundPredicate=None, SimpleSetPredicate=None, True_=None, False_=None, ScoreDistribution=None)[source]

Bases: PMML44Super.SimpleRule

class PMML44.SimpleSetPredicate(field=None, booleanOperator=None, Extension=None, Array=None)[source]

Bases: PMML44Super.SimpleSetPredicate

class PMML44.SpectralAnalysis[source]

Bases: PMML44Super.SpectralAnalysis

class PMML44.StateSpaceModel(variance=None, period='none', intercept='0', Extension=None, StateVector=None, TransitionMatrix=None, MeasurementMatrix=None, PsiVector=None, DynamicRegressor=None)[source]

Bases: PMML44Super.StateSpaceModel

class PMML44.StateVector(Extension=None, Array=None)[source]

Bases: PMML44Super.StateVector

class PMML44.SupportVector(vectorId=None, Extension=None)[source]

Bases: PMML44Super.SupportVector

class PMML44.SupportVectorMachine(targetCategory=None, alternateTargetCategory=None, threshold=None, Extension=None, SupportVectors=None, Coefficients=None)[source]

Bases: PMML44Super.SupportVectorMachine

class PMML44.SupportVectorMachineModel(modelName=None, functionName=None, algorithmName=None, threshold='0', svmRepresentation='SupportVectors', classificationMethod='OneAgainstAll', maxWins=False, isScorable=True, MiningSchema=None, Output=None, ModelStats=None, ModelExplanation=None, Targets=None, LocalTransformations=None, LinearKernelType=None, PolynomialKernelType=None, RadialBasisKernelType=None, SigmoidKernelType=None, VectorDictionary=None, SupportVectorMachine=None, ModelVerification=None, Extension=None)[source]

Bases: PMML44Super.SupportVectorMachineModel

class PMML44.SupportVectors(numberOfSupportVectors=None, numberOfAttributes=None, Extension=None, SupportVector=None)[source]

Bases: PMML44Super.SupportVectors

add_SupportVector(value, *args)[source]
add_SupportVector_wrapper(value, *args)[source]
insert_SupportVector_at(index, value, *args)[source]
insert_SupportVector_at_wrapper(index, value, *args)[source]
set_SupportVector(SupportVector, *args)[source]
set_SupportVector_wrapper(SupportVector, *args)[source]
class PMML44.TableLocator(Extension=None)[source]

Bases: PMML44Super.TableLocator

class PMML44.Target(field=None, optype=None, castInteger=None, min=None, max=None, rescaleConstant=0, rescaleFactor=1, Extension=None, TargetValue=None)[source]

Bases: PMML44Super.Target

class PMML44.TargetValue(value=None, displayValue=None, priorProbability=None, defaultValue=None, Extension=None, Partition=None)[source]

Bases: PMML44Super.TargetValue

class PMML44.TargetValueCount(value=None, count=None, Extension=None)[source]

Bases: PMML44Super.TargetValueCount

class PMML44.TargetValueCounts(Extension=None, TargetValueCount=None)[source]

Bases: PMML44Super.TargetValueCounts

class PMML44.TargetValueStat(value=None, Extension=None, AnyDistribution=None, GaussianDistribution=None, PoissonDistribution=None, UniformDistribution=None)[source]

Bases: PMML44Super.TargetValueStat

class PMML44.TargetValueStats(Extension=None, TargetValueStat=None)[source]

Bases: PMML44Super.TargetValueStats

class PMML44.Targets(Extension=None, Target=None)[source]

Bases: PMML44Super.Targets

class PMML44.Taxonomy(name=None, Extension=None, ChildParent=None)[source]

Bases: PMML44Super.Taxonomy

class PMML44.TestDistributions(field=None, testStatistic=None, resetValue='0.0', windowSize='0', weightField=None, normalizationScheme=None, Extension=None, Baseline=None, Alternate=None)[source]

Bases: PMML44Super.TestDistributions

class PMML44.TextCorpus(Extension=None, TextDocument=None)[source]

Bases: PMML44Super.TextCorpus

class PMML44.TextDictionary(Extension=None, Taxonomy=None, Array=None)[source]

Bases: PMML44Super.TextDictionary

class PMML44.TextDocument(id=None, name=None, length=None, file=None, Extension=None)[source]

Bases: PMML44Super.TextDocument

class PMML44.TextIndex(textField=None, localTermWeights='termFrequency', isCaseSensitive=False, maxLevenshteinDistance=0, countHits='allHits', wordSeparatorCharacterRE='\s+', tokenize=True, Extension=None, TextIndexNormalization=None, FieldRef=None, Constant=None, NormContinuous=None, NormDiscrete=None, Discretize=None, MapValues=None, TextIndex_member=None, Apply=None, Aggregate=None, Lag=None)[source]

Bases: PMML44Super.TextIndex

class PMML44.TextIndexNormalization(inField='string', outField='stem', regexField='regex', recursive=False, isCaseSensitive=None, maxLevenshteinDistance=None, wordSeparatorCharacterRE=None, tokenize=None, Extension=None, TableLocator=None, InlineTable=None)[source]

Bases: PMML44Super.TextIndexNormalization

class PMML44.TextModel(modelName=None, functionName=None, algorithmName=None, numberOfTerms=None, numberOfDocuments=None, isScorable=True, MiningSchema=None, Output=None, ModelStats=None, ModelExplanation=None, Targets=None, LocalTransformations=None, TextDictionary=None, TextCorpus=None, DocumentTermMatrix=None, TextModelNormalization=None, TextModelSimiliarity=None, ModelVerification=None, Extension=None)[source]

Bases: PMML44Super.TextModel

class PMML44.TextModelNormalization(localTermWeights='termFrequency', globalTermWeights='inverseDocumentFrequency', documentNormalization='none', Extension=None)[source]

Bases: PMML44Super.TextModelNormalization

class PMML44.TextModelSimiliarity(similarityType=None, Extension=None)[source]

Bases: PMML44Super.TextModelSimiliarity

class PMML44.Theta(i=None, j=None, theta=None)[source]

Bases: PMML44Super.Theta

class PMML44.ThetaRecursionState(FinalNoise=None, FinalPredictedNoise=None, FinalTheta=None, FinalNu=None)[source]

Bases: PMML44Super.ThetaRecursionState

class PMML44.Time(min=None, max=None, mean=None, standardDeviation=None, Extension=None)[source]

Bases: PMML44Super.Time

class PMML44.TimeAnchor(type_=None, offset=None, stepsize=None, displayName=None, TimeCycle=None, TimeException=None)[source]

Bases: PMML44Super.TimeAnchor

class PMML44.TimeCycle(length=None, type_=None, displayName=None, Array=None)[source]

Bases: PMML44Super.TimeCycle

class PMML44.TimeException(type_=None, count=None, Array=None)[source]

Bases: PMML44Super.TimeException

class PMML44.TimeSeries(usage='original', startTime=None, endTime=None, interpolationMethod='none', field=None, TimeAnchor=None, TimeValue=None)[source]

Bases: PMML44Super.TimeSeries

class PMML44.TimeSeriesModel(modelName=None, functionName=None, algorithmName=None, bestFit=None, isScorable=True, MiningSchema=None, Output=None, ModelStats=None, ModelExplanation=None, LocalTransformations=None, TimeSeries=None, SpectralAnalysis=None, ARIMA=None, ExponentialSmoothing=None, SeasonalTrendDecomposition=None, StateSpaceModel=None, GARCH=None, ModelVerification=None, Extension=None)[source]

Bases: PMML44Super.TimeSeriesModel

class PMML44.TimeValue(index=None, time=None, value=None, standardError=None, Timestamp=None)[source]

Bases: PMML44Super.TimeValue

class PMML44.Timestamp(content=None, Extension=None, mixedclass_=None)[source]

Bases: PMML44Super.Timestamp

export(outfile, level, namespace_='', name_='Timestamp', namespacedef_='', pretty_print=True, *args)[source]
export_wrapper(outfile, level, namespace_='', name_='Timestamp', namespacedef_='', pretty_print=True, *args)[source]
class PMML44.TrainingInstances(isTransformed=False, recordCount=None, fieldCount=None, Extension=None, InstanceFields=None, TableLocator=None, InlineTable=None)[source]

Bases: PMML44Super.TrainingInstances

class PMML44.TrainingParameters(architectureName=None, dataset=None, framework=None, Extension=None, Losses=None, Metrics=None, Optimizers=None)[source]

Bases: PMML44Super.TrainingParameters

class PMML44.TransferFunctionValues(Array=None)[source]

Bases: PMML44Super.TransferFunctionValues

class PMML44.TransformationDictionary(Extension=None, DefineFunction=None, DerivedField=None)[source]

Bases: PMML44Super.TransformationDictionary

class PMML44.TransitionMatrix(Extension=None, Matrix=None)[source]

Bases: PMML44Super.TransitionMatrix

class PMML44.TreeModel(modelName=None, functionName=None, algorithmName=None, missingValueStrategy='none', missingValuePenalty='1.0', noTrueChildStrategy='returnNullPrediction', splitCharacteristic='multiSplit', isScorable=True, MiningSchema=None, Output=None, ModelStats=None, ModelExplanation=None, Targets=None, LocalTransformations=None, Node=None, ModelVerification=None, Extension=None)[source]

Bases: PMML44Super.TreeModel

class PMML44.TrendCoefficients(Extension=None, REAL_SparseArray=None)[source]

Bases: PMML44Super.TrendCoefficients

class PMML44.Trend_ExpoSmooth(trend='additive', gamma=None, phi='1', smoothedValue=None, Array=None)[source]

Bases: PMML44Super.Trend_ExpoSmooth

class PMML44.TriangularDistributionForBN(Extension=None, Mean=None, Lower=None, Upper=None)[source]

Bases: PMML44Super.TriangularDistributionForBN

class PMML44.True_(Extension=None)[source]

Bases: PMML44Super.True_

class PMML44.UniformDistribution(lower=None, upper=None, Extension=None)[source]

Bases: PMML44Super.UniformDistribution

class PMML44.UniformDistributionForBN(Extension=None, Lower=None, Upper=None)[source]

Bases: PMML44Super.UniformDistributionForBN

class PMML44.UnivariateStats(field=None, weighted='0', Extension=None, Counts=None, NumericInfo=None, DiscrStats=None, ContStats=None, Anova=None)[source]

Bases: PMML44Super.UnivariateStats

class PMML44.Upper(Extension=None, FieldRef=None, Constant=None, NormContinuous=None, NormDiscrete=None, Discretize=None, MapValues=None, TextIndex=None, Apply=None, Aggregate=None, Lag=None)[source]

Bases: PMML44Super.Upper

class PMML44.Value(value=None, displayValue=None, property='valid', Extension=None)[source]

Bases: PMML44Super.Value

class PMML44.ValueProbability(value=None, probability=None, Extension=None)[source]

Bases: PMML44Super.ValueProbability

class PMML44.VariableWeight(field=None, Extension=None)[source]

Bases: PMML44Super.VariableWeight

class PMML44.Variance(Extension=None, FieldRef=None, Constant=None, NormContinuous=None, NormDiscrete=None, Discretize=None, MapValues=None, TextIndex=None, Apply=None, Aggregate=None, Lag=None)[source]

Bases: PMML44Super.Variance

class PMML44.VarianceCoefficients(Extension=None, PastVariances=None, MACoefficients=None)[source]

Bases: PMML44Super.VarianceCoefficients

class PMML44.VectorDictionary(numberOfVectors=None, Extension=None, VectorFields=None, VectorInstance=None)[source]

Bases: PMML44Super.VectorDictionary

add_VectorInstance(value, *args)[source]
add_VectorInstance_wrapper(value, *args)[source]
insert_VectorInstance_at(index, value, *args)[source]
insert_VectorInstance_at_wrapper(index, value, *args)[source]
set_VectorInstance(VectorInstance, *args)[source]
set_VectorInstance_wrapper(VectorInstance, *args)[source]
class PMML44.VectorFields(numberOfFields=None, Extension=None, FieldRef=None, CategoricalPredictor=None)[source]

Bases: PMML44Super.VectorFields

class PMML44.VectorInstance(id=None, Extension=None, REAL_SparseArray=None, Array=None)[source]

Bases: PMML44Super.VectorInstance

class PMML44.VerificationField(field=None, column=None, precision=1e-06, zeroThreshold=1e-16, Extension=None)[source]

Bases: PMML44Super.VerificationField

class PMML44.VerificationFields(Extension=None, VerificationField=None)[source]

Bases: PMML44Super.VerificationFields

class PMML44.XCoordinates(Extension=None, Array=None)[source]

Bases: PMML44Super.XCoordinates

class PMML44.YCoordinates(Extension=None, Array=None)[source]

Bases: PMML44Super.YCoordinates

class PMML44.binarySimilarity(c00_parameter=None, c01_parameter=None, c10_parameter=None, c11_parameter=None, d00_parameter=None, d01_parameter=None, d10_parameter=None, d11_parameter=None, Extension=None)[source]

Bases: PMML44Super.binarySimilarity

class PMML44.chebychev(Extension=None)[source]

Bases: PMML44Super.chebychev

class PMML44.cityBlock(Extension=None)[source]

Bases: PMML44Super.cityBlock

class PMML44.euclidean(Extension=None)[source]

Bases: PMML44Super.euclidean

PMML44.get_root_tag(node)[source]
class PMML44.jaccard(Extension=None)[source]

Bases: PMML44Super.jaccard

PMML44.main()[source]
class PMML44.minkowski(p_parameter=None, Extension=None)[source]

Bases: PMML44Super.minkowski

PMML44.new_init()[source]
PMML44.orig_init()[source]
PMML44.parse(inFileName, silence=False)[source]
PMML44.parseEtree(inFilename, silence=False)[source]
PMML44.parseLiteral(inFilename, silence=False)[source]
PMML44.parseString(inString, silence=False)[source]
PMML44.parseSub(inFilename, silence=False)[source]
PMML44.parsexml_(infile, parser=None, **kwargs)[source]
class PMML44.row(anytypeobjs_=None)[source]

Bases: PMML44Super.row

buildChildren(child_, node, nodeName_, fromsubclass_=False, *args)[source]
buildChildren_wrapper(child_, node, nodeName_, fromsubclass_=False, *args)[source]
PMML44.showIndent(outfile, level, pretty_print=True)[source]
class PMML44.simpleMatching(Extension=None)[source]

Bases: PMML44Super.simpleMatching

class PMML44.squaredEuclidean(Extension=None)[source]

Bases: PMML44Super.squaredEuclidean

class PMML44.tanimoto(Extension=None)[source]

Bases: PMML44Super.tanimoto

PMML44.usage()[source]