| Constructor and Description |
|---|
AssociationModel(MiningFunction miningFunction,
Integer numberOfTransactions,
Number minimumSupport,
Number minimumConfidence,
Integer numberOfItems,
Integer numberOfItemsets,
Integer numberOfRules,
MiningSchema miningSchema) |
AssociationRule(String antecedent,
String consequent,
Number support,
Number confidence) |
Item(String id,
String value) |
ItemRef(String itemRef) |
Itemset(String id) |
| Constructor and Description |
|---|
Alternate(ContinuousDistribution continuousDistribution) |
Baseline(ContinuousDistribution continuousDistribution,
CountTable countTable,
CountTable normalizedCountTable,
List<FieldRef> fieldRefs) |
BaselineModel(MiningFunction miningFunction,
MiningSchema miningSchema,
TestDistributions testDistributions) |
CountTable(List<FieldValue> fieldValues,
List<FieldValueCount> fieldValueCounts) |
FieldValue(FieldName field,
Object value,
List<FieldValue> fieldValues,
List<FieldValueCount> fieldValueCounts) |
FieldValueCount(FieldName field,
Object value,
Number count) |
TestDistributions(FieldName field,
TestDistributions.TestStatistic testStatistic,
Baseline baseline) |
| Constructor and Description |
|---|
CenterFields(List<DerivedField> derivedFields) |
Cluster(Array array) |
ClusteringField(FieldName field) |
ClusteringModel(MiningFunction miningFunction,
ClusteringModel.ModelClass modelClass,
Integer numberOfClusters,
MiningSchema miningSchema,
ComparisonMeasure comparisonMeasure,
List<ClusteringField> clusteringFields,
List<Cluster> clusters) |
Comparisons(Matrix matrix) |
Covariances(Matrix matrix) |
MissingValueWeights(Array array) |
| Constructor and Description |
|---|
GaussianProcessModel(MiningFunction miningFunction,
MiningSchema miningSchema,
RadialBasisKernel radialBasisKernel,
ARDSquaredExponentialKernel ardSquaredExponentialKernel,
AbsoluteExponentialKernel absoluteExponentialKernel,
GeneralizedExponentialKernel generalizedExponentialKernel,
TrainingInstances trainingInstances) |
Lambda(Array array) |
| Constructor and Description |
|---|
BaseCumHazardTables(List<BaselineStratum> baselineStrata,
List<BaselineCell> baselineCells) |
BaselineCell(Number time,
Number cumHazard) |
BaselineStratum(Object value,
Number maxTime) |
Categories(List<Category> categories) |
Category(Object value) |
GeneralRegressionModel(GeneralRegressionModel.ModelType modelType,
MiningFunction miningFunction,
MiningSchema miningSchema,
ParameterList parameterList,
PPMatrix ppMatrix,
ParamMatrix paramMatrix) |
Parameter(String name) |
PCell(String parameterName,
Number beta) |
PCovCell(String pRow,
String pCol,
Number value) |
PCovMatrix(List<PCovCell> pCovCells) |
PPCell(Object value,
FieldName field,
String parameterName) |
Predictor(FieldName field) |
| Constructor and Description |
|---|
MiningModel(MiningFunction miningFunction,
MiningSchema miningSchema) |
Segment(Predicate predicate,
Model model) |
Segmentation(Segmentation.MultipleModelMethod multipleModelMethod,
List<Segment> segments) |
| Constructor and Description |
|---|
BayesInput(FieldName field,
TargetValueStats targetValueStats,
List<PairCounts> pairCounts) |
BayesInputs(List<BayesInput> bayesInputs) |
BayesOutput(FieldName field,
TargetValueCounts targetValueCounts) |
NaiveBayesModel(Number threshold,
MiningFunction miningFunction,
MiningSchema miningSchema,
BayesInputs bayesInputs,
BayesOutput bayesOutput) |
PairCounts(Object value,
TargetValueCounts targetValueCounts) |
TargetValueCount(Object value,
Number count) |
TargetValueCounts(List<TargetValueCount> targetValueCounts) |
TargetValueStat(Object value,
ContinuousDistribution continuousDistribution) |
TargetValueStats(List<TargetValueStat> targetValueStats) |
| Constructor and Description |
|---|
InstanceField(FieldName field) |
InstanceFields(List<InstanceField> instanceFields) |
KNNInput(FieldName field) |
KNNInputs(List<KNNInput> knnInputs) |
NearestNeighborModel(MiningFunction miningFunction,
Integer numberOfNeighbors,
MiningSchema miningSchema,
TrainingInstances trainingInstances,
ComparisonMeasure comparisonMeasure,
KNNInputs knnInputs) |
TrainingInstances(InstanceFields instanceFields,
TableLocator tableLocator,
InlineTable inlineTable) |
| Constructor and Description |
|---|
Connection(String from,
Number weight) |
NeuralInput(String id,
DerivedField derivedField) |
NeuralInputs(List<NeuralInput> neuralInputs) |
NeuralLayer(List<Neuron> neurons) |
NeuralNetwork(MiningFunction miningFunction,
NeuralNetwork.ActivationFunction activationFunction,
MiningSchema miningSchema,
NeuralInputs neuralInputs,
List<NeuralLayer> neuralLayers) |
NeuralOutput(String outputNeuron,
DerivedField derivedField) |
NeuralOutputs(List<NeuralOutput> neuralOutputs) |
Neuron(String id,
List<Connection> connections) |
| Constructor and Description |
|---|
CategoricalPredictor(FieldName field,
Object value,
Number coefficient) |
NumericPredictor(FieldName field,
Number coefficient) |
PredictorTerm(Number coefficient,
List<FieldRef> fieldRefs) |
Regression(MiningFunction miningFunction,
List<RegressionTable> regressionTables) |
RegressionModel(MiningFunction miningFunction,
MiningSchema miningSchema,
List<RegressionTable> regressionTables) |
RegressionTable(Number intercept) |
| Constructor and Description |
|---|
CompoundRule(Predicate predicate,
List<Rule> rules) |
RuleSelectionMethod(RuleSelectionMethod.Criterion criterion) |
RuleSet(List<RuleSelectionMethod> ruleSelectionMethods) |
RuleSetModel(MiningFunction miningFunction,
MiningSchema miningSchema,
RuleSet ruleSet) |
SimpleRule(Object score,
Predicate predicate) |
| Constructor and Description |
|---|
Attribute(Predicate predicate) |
Characteristic(List<Attribute> attributes) |
Characteristics(List<Characteristic> characteristics) |
ComplexPartialScore(Expression expression) |
Scorecard(MiningFunction miningFunction,
MiningSchema miningSchema,
Characteristics characteristics) |
| Constructor and Description |
|---|
AntecedentSequence(SequenceReference sequenceReference) |
ConsequentSequence(SequenceReference sequenceReference) |
Delimiter(Delimiter.TimeWindow delimiter,
Delimiter.Gap gap) |
Sequence(String id,
SetReference setReference) |
SequenceModel(MiningFunction miningFunction,
Number minimumSupport,
Number minimumConfidence,
Integer numberOfItems,
Integer numberOfSets,
Integer numberOfSequences,
Integer numberOfRules,
MiningSchema miningSchema,
List<Sequence> sequences) |
SequenceReference(String seqId) |
SequenceRule(String id,
Integer numberOfSets,
Integer occurrence,
Number support,
Number confidence) |
SetPredicate(String id,
FieldName field,
Array array) |
SetReference(String setId) |
| Constructor and Description |
|---|
Coefficients(List<Coefficient> coefficients) |
SupportVector(String vectorId) |
SupportVectorMachine(Coefficients coefficients) |
SupportVectorMachineModel(MiningFunction miningFunction,
MiningSchema miningSchema,
Kernel kernel,
VectorDictionary vectorDictionary,
List<SupportVectorMachine> supportVectorMachines) |
SupportVectors(List<SupportVector> supportVectors) |
VectorDictionary(VectorFields vectorFields) |
VectorFields(List<PMMLObject> content) |
VectorInstance(String id,
RealSparseArray realSparseArray,
Array array) |
| Constructor and Description |
|---|
DocumentTermMatrix(Matrix matrix) |
TextDictionary(Array array) |
TextDocument(String id) |
TextModel(MiningFunction miningFunction,
Integer numberOfTerms,
Integer numberOfDocuments,
MiningSchema miningSchema,
TextDictionary textDictionary,
TextCorpus textCorpus,
DocumentTermMatrix documentTermMatrix) |
| Constructor and Description |
|---|
ExponentialSmoothing(Level level) |
SeasonalityExpoSmooth(SeasonalityExpoSmooth.Type type,
Integer period,
Array array) |
TimeCycle(Array array) |
TimeException(Array array) |
TimeSeriesModel(MiningFunction miningFunction,
TimeSeriesModel.Algorithm bestFit,
MiningSchema miningSchema) |
TimeValue(Number value) |
TrendExpoSmooth(Array array) |
| Constructor and Description |
|---|
BranchNode(Object score,
Predicate predicate) |
ClassifierNode(Object score,
Predicate predicate) |
ComplexNode(Predicate predicate) |
CountingBranchNode(Object score,
Predicate predicate) |
CountingLeafNode(Object score,
Predicate predicate) |
DecisionTree(MiningFunction miningFunction,
Node node) |
LeafNode(Object score,
Predicate predicate) |
SimpleNode(Object score,
Predicate predicate) |
TreeModel(MiningFunction miningFunction,
MiningSchema miningSchema,
Node node) |
| Constructor and Description |
|---|
InputCell(Object value) |
OutputCell(Object value) |
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