A C D E F G H I L M N O P R S T V X

A

AbsoluteDifferenceCompareFunction - Class in cascading.pattern.model.clustering.compare

AbsoluteDifferenceCompareFunction() - Constructor for class cascading.pattern.model.clustering.compare.AbsoluteDifferenceCompareFunction

addCluster(Cluster) - Method in class cascading.pattern.model.clustering.ClusteringSpec

addExpectedField(DataField) - Method in class cascading.pattern.model.ModelSchema

addExpectedFields(Fields) - Method in class cascading.pattern.model.ModelSchema

addExpectedFields(Fields, String[][]) - Method in class cascading.pattern.model.ModelSchema

addKeyFields(Fields) - Method in class cascading.pattern.model.ModelSchema

addModelSpec(S) - Method in class cascading.pattern.ensemble.EnsembleSpec

addModelSpecs(List<S>) - Method in class cascading.pattern.ensemble.EnsembleSpec

addParameter(Parameter) - Method in class cascading.pattern.model.generalregression.RegressionTable

addPredicate(String, String, Predicate) - Method in class cascading.pattern.model.tree.Tree

addPredicate(String, String, Predicate, Object) - Method in class cascading.pattern.model.tree.Tree

addPredictor(Predictor) - Method in class cascading.pattern.model.generalregression.Parameter

addPredictors(List<Predictor>) - Method in class cascading.pattern.model.generalregression.Parameter

addRegressionTable(RegressionTable) - Method in class cascading.pattern.model.generalregression.GeneralRegressionSpec

AndPredicate - Class in cascading.pattern.model.tree.predicate.compound

Class AndPredicate returns true if all child predicates are true.

AndPredicate(List<Predicate>) - Constructor for class cascading.pattern.model.tree.predicate.compound.AndPredicate

AndPredicate(Predicate...) - Constructor for class cascading.pattern.model.tree.predicate.compound.AndPredicate

applies(TupleEntry) - Method in class cascading.pattern.model.generalregression.expression.ParameterExpression

Average - Class in cascading.pattern.ensemble.selection

Average() - Constructor for class cascading.pattern.ensemble.selection.Average

C

calculate(CompareFunction[], Tuple, double[]) - Method in class cascading.pattern.model.clustering.measure.ComparisonMeasure

Calculate the distance from this cluster for the given tuple.

calculate(CompareFunction[], Tuple, double[]) - Method in class cascading.pattern.model.clustering.measure.EuclideanMeasure

calculate(CompareFunction[], Tuple, double[]) - Method in class cascading.pattern.model.clustering.measure.SquaredEuclideanMeasure

calculate(TupleEntry) - Method in class cascading.pattern.model.generalregression.expression.ExpressionEvaluator

calculate(TupleEntry) - Method in class cascading.pattern.model.generalregression.expression.ParameterExpression

calculate(double) - Method in enum cascading.pattern.model.generalregression.LinkFunction

calculate(double) - Method in class cascading.pattern.model.generalregression.predictor.CovariantPredictor

cascading.pattern - package cascading.pattern

cascading.pattern.datafield - package cascading.pattern.datafield

cascading.pattern.ensemble - package cascading.pattern.ensemble

cascading.pattern.ensemble.function - package cascading.pattern.ensemble.function

cascading.pattern.ensemble.selection - package cascading.pattern.ensemble.selection

cascading.pattern.model - package cascading.pattern.model

cascading.pattern.model.clustering - package cascading.pattern.model.clustering

cascading.pattern.model.clustering.compare - package cascading.pattern.model.clustering.compare

cascading.pattern.model.clustering.measure - package cascading.pattern.model.clustering.measure

cascading.pattern.model.generalregression - package cascading.pattern.model.generalregression

cascading.pattern.model.generalregression.expression - package cascading.pattern.model.generalregression.expression

cascading.pattern.model.generalregression.normalization - package cascading.pattern.model.generalregression.normalization

cascading.pattern.model.generalregression.predictor - package cascading.pattern.model.generalregression.predictor

cascading.pattern.model.tree - package cascading.pattern.model.tree

cascading.pattern.model.tree.decision - package cascading.pattern.model.tree.decision

cascading.pattern.model.tree.predicate - package cascading.pattern.model.tree.predicate

cascading.pattern.model.tree.predicate.compound - package cascading.pattern.model.tree.predicate.compound

cascading.pattern.pmml - package cascading.pattern.pmml

cascading.pattern.util - package cascading.pattern.util

CategoricalDataField - Class in cascading.pattern.datafield

Class CategoricalDataField represent a field with a fixed set of possible values.

CategoricalDataField(CategoricalDataField, String...) - Constructor for class cascading.pattern.datafield.CategoricalDataField

CategoricalDataField(Fields, String...) - Constructor for class cascading.pattern.datafield.CategoricalDataField

CategoricalDataField(Fields, List<String>) - Constructor for class cascading.pattern.datafield.CategoricalDataField

CategoricalDataField(String, Type, String...) - Constructor for class cascading.pattern.datafield.CategoricalDataField

CategoricalDataField(String, Type, List<String>) - Constructor for class cascading.pattern.datafield.CategoricalDataField

CategoricalRegressionFunction - Class in cascading.pattern.model.generalregression

Class CategoricalRegressionFunction will return a classification or category with the greatest probability as determined by the set of RegressionTables added to the GeneralRegressionSpec.

CategoricalRegressionFunction(GeneralRegressionSpec) - Constructor for class cascading.pattern.model.generalregression.CategoricalRegressionFunction

CategoricalSelectionBuffer - Class in cascading.pattern.ensemble.selection

CategoricalSelectionBuffer(EnsembleSpec) - Constructor for class cascading.pattern.ensemble.selection.CategoricalSelectionBuffer

CategoricalSelectionBuffer.DecisionContext - Class in cascading.pattern.ensemble.selection

CategoricalSelectionBuffer.DecisionContext() - Constructor for class cascading.pattern.ensemble.selection.CategoricalSelectionBuffer.DecisionContext

CategoricalSelector - Class in cascading.pattern.ensemble.selection

CategoricalSelector() - Constructor for class cascading.pattern.ensemble.selection.CategoricalSelector

categories - Variable in class cascading.pattern.datafield.CategoricalDataField

children - Variable in class cascading.pattern.model.tree.predicate.compound.CompoundPredicate

Cluster - Class in cascading.pattern.model.clustering

Class Cluster represents a point in space denoted by the given collection of points which in turn represents a particular targetCategory.

Cluster(String, double...) - Constructor for class cascading.pattern.model.clustering.Cluster

Cluster(String, List<Double>) - Constructor for class cascading.pattern.model.clustering.Cluster

ClusteringFunction - Class in cascading.pattern.model.clustering

Class ClusteringFunction applies a given ClusteringSpec model to a stream of data.

ClusteringFunction(ClusteringSpec) - Constructor for class cascading.pattern.model.clustering.ClusteringFunction

ClusteringFunction.EvaluatorContext - Class in cascading.pattern.model.clustering

ClusteringFunction.EvaluatorContext() - Constructor for class cascading.pattern.model.clustering.ClusteringFunction.EvaluatorContext

ClusteringSpec - Class in cascading.pattern.model.clustering

Class ClusteringSpec is used to define a cluster model for scoring.

ClusteringSpec() - Constructor for class cascading.pattern.model.clustering.ClusteringSpec

ClusteringSpec(ModelSchema) - Constructor for class cascading.pattern.model.clustering.ClusteringSpec

ClusteringSpec(ModelSchema, List<Cluster>) - Constructor for class cascading.pattern.model.clustering.ClusteringSpec

ComparablePredicate<T> - Class in cascading.pattern.model.tree.predicate

ComparablePredicate(String, T) - Constructor for class cascading.pattern.model.tree.predicate.ComparablePredicate

CompareFunction - Class in cascading.pattern.model.clustering.compare

CompareFunction() - Constructor for class cascading.pattern.model.clustering.compare.CompareFunction

ComparisonMeasure - Class in cascading.pattern.model.clustering.measure

ComparisonMeasure() - Constructor for class cascading.pattern.model.clustering.measure.ComparisonMeasure

CompoundPredicate - Class in cascading.pattern.model.tree.predicate.compound

CompoundPredicate(List<Predicate>) - Constructor for class cascading.pattern.model.tree.predicate.compound.CompoundPredicate

CompoundPredicate(Predicate...) - Constructor for class cascading.pattern.model.tree.predicate.compound.CompoundPredicate

ContinuousDataField - Class in cascading.pattern.datafield

Class ContinuousDataField represent a field with a continuous set of values, like an Double value.

ContinuousDataField(Fields) - Constructor for class cascading.pattern.datafield.ContinuousDataField

ContinuousDataField(String, Type) - Constructor for class cascading.pattern.datafield.ContinuousDataField

CovariantPredictor - Class in cascading.pattern.model.generalregression.predictor

CovariantPredictor(String) - Constructor for class cascading.pattern.model.generalregression.predictor.CovariantPredictor

CovariantPredictor(String, long) - Constructor for class cascading.pattern.model.generalregression.predictor.CovariantPredictor

createDecisionTree(Fields) - Method in class cascading.pattern.model.tree.Tree

createDecisionTree(String[], Fields) - Method in class cascading.pattern.model.tree.Tree

createExpression(Fields) - Method in class cascading.pattern.model.generalregression.Parameter

createName(Tree, Node) - Method in class cascading.pattern.model.tree.decision.Decision

D

DATA_PATH - Static variable in class cascading.pattern.pmml.PMMLPlatformTestCase

DataField - Class in cascading.pattern.datafield

DataField(Fields) - Constructor for class cascading.pattern.datafield.DataField

DataField(String, Type) - Constructor for class cascading.pattern.datafield.DataField

decide(TupleEntry) - Method in class cascading.pattern.model.tree.decision.Decision

decide(TupleEntry) - Method in class cascading.pattern.model.tree.decision.DecisionTree

decide(TupleEntry) - Method in class cascading.pattern.model.tree.decision.FinalDecision

Decision - Class in cascading.pattern.model.tree.decision

Decision(Tree, Node) - Constructor for class cascading.pattern.model.tree.decision.Decision

DecisionTree - Class in cascading.pattern.model.tree.decision

DecisionTree(String[], Fields, Tree, Node) - Constructor for class cascading.pattern.model.tree.decision.DecisionTree

DistanceMeasure - Class in cascading.pattern.model.clustering.measure

DistanceMeasure() - Constructor for class cascading.pattern.model.clustering.measure.DistanceMeasure

E

EnsembleSpec<S extends Spec> - Class in cascading.pattern.ensemble

Class EnsembleSpec is used to define an ensemble model.

EnsembleSpec(ModelSchema) - Constructor for class cascading.pattern.ensemble.EnsembleSpec

EnsembleSpec(ModelSchema, List<S>) - Constructor for class cascading.pattern.ensemble.EnsembleSpec

ensembleSpec - Variable in class cascading.pattern.ensemble.selection.SelectionBuffer

equals(Object) - Method in class cascading.pattern.model.tree.Node

EqualsToPredicate - Class in cascading.pattern.model.tree.predicate

EqualsToPredicate(String, Object) - Constructor for class cascading.pattern.model.tree.predicate.EqualsToPredicate

EuclideanMeasure - Class in cascading.pattern.model.clustering.measure

Class EuclideanMeasure calculates Euclidean distance between two points where the two points difference utilize the given CompareFunction.

EuclideanMeasure() - Constructor for class cascading.pattern.model.clustering.measure.EuclideanMeasure

evaluate(TupleEntry) - Method in class cascading.pattern.model.tree.decision.PredicateEvaluator

evaluate(Iterator<Boolean>) - Method in class cascading.pattern.model.tree.predicate.compound.AndPredicate

evaluate(Iterator<Boolean>) - Method in class cascading.pattern.model.tree.predicate.compound.CompoundPredicate

evaluate(Iterator<Boolean>) - Method in class cascading.pattern.model.tree.predicate.compound.OrPredicate

evaluate(Iterator<Boolean>) - Method in class cascading.pattern.model.tree.predicate.compound.SurrogatePredicate

evaluate(Iterator<Boolean>) - Method in class cascading.pattern.model.tree.predicate.compound.XorPredicate

evaluate(Object) - Method in class cascading.pattern.model.tree.predicate.EqualsToPredicate

evaluate(Object) - Method in class cascading.pattern.model.tree.predicate.FalsePredicate

evaluate(Object) - Method in class cascading.pattern.model.tree.predicate.GreaterOrEqualThanPredicate

evaluate(Object) - Method in class cascading.pattern.model.tree.predicate.GreaterThanPredicate

evaluate(Object) - Method in class cascading.pattern.model.tree.predicate.IsInSetPredicate

evaluate(Object) - Method in class cascading.pattern.model.tree.predicate.IsMissingPredicate

evaluate(Object) - Method in class cascading.pattern.model.tree.predicate.IsNotInSetPredicate

evaluate(Object) - Method in class cascading.pattern.model.tree.predicate.IsNotMissingPredicate

evaluate(Object) - Method in class cascading.pattern.model.tree.predicate.LessOrEqualThanPredicate

evaluate(Object) - Method in class cascading.pattern.model.tree.predicate.LessThanPredicate

evaluate(Object) - Method in class cascading.pattern.model.tree.predicate.NotEqualsToPredicate

evaluate(Object) - Method in class cascading.pattern.model.tree.predicate.SimplePredicate

evaluate(Object) - Method in class cascading.pattern.model.tree.predicate.TruePredicate

evaluators - Variable in class cascading.pattern.model.clustering.ClusteringFunction.EvaluatorContext

ExpressionEvaluator - Class in cascading.pattern.model.generalregression.expression

ExpressionEvaluator(String) - Constructor for class cascading.pattern.model.generalregression.expression.ExpressionEvaluator

ExpressionEvaluator(String, ParameterExpression[]) - Constructor for class cascading.pattern.model.generalregression.expression.ExpressionEvaluator

F

FactorPredictor - Class in cascading.pattern.model.generalregression.predictor

FactorPredictor(String, String) - Constructor for class cascading.pattern.model.generalregression.predictor.FactorPredictor

FalsePredicate - Class in cascading.pattern.model.tree.predicate

Class FalsePredicate always evaluates to false.

FalsePredicate() - Constructor for class cascading.pattern.model.tree.predicate.FalsePredicate

fieldName - Variable in class cascading.pattern.model.generalregression.predictor.Predictor

FinalDecision - Class in cascading.pattern.model.tree.decision

FinalDecision(Tree, Node) - Constructor for class cascading.pattern.model.tree.decision.FinalDecision

FinalDecision(String[], Tree, Node) - Constructor for class cascading.pattern.model.tree.decision.FinalDecision

function - Variable in enum cascading.pattern.model.generalregression.LinkFunction

G

GeneralRegressionSpec - Class in cascading.pattern.model.generalregression

Class GeneralRegressionSpec is used to define a general regression model for classification or prediction, and can be used with CategoricalRegressionFunction and PredictionRegressionFunction respectively.

GeneralRegressionSpec(ModelSchema, RegressionTable, LinkFunction) - Constructor for class cascading.pattern.model.generalregression.GeneralRegressionSpec

GeneralRegressionSpec(ModelSchema) - Constructor for class cascading.pattern.model.generalregression.GeneralRegressionSpec

getArgumentField() - Method in class cascading.pattern.model.tree.predicate.SimplePredicate

getBeta() - Method in class cascading.pattern.model.generalregression.Parameter

getCategories() - Method in class cascading.pattern.datafield.CategoricalDataField

Gets an unmodifiable list of the current categories.

getCategories() - Method in class cascading.pattern.model.Spec

getCategoriesArray() - Method in class cascading.pattern.model.Spec

getChildren() - Method in class cascading.pattern.model.tree.predicate.compound.CompoundPredicate

getClusterEvaluator(Fields) - Method in class cascading.pattern.model.clustering.ClusteringSpec

getClusters() - Method in class cascading.pattern.model.clustering.ClusteringSpec

getComparisonMeasure() - Method in class cascading.pattern.model.clustering.ClusteringSpec

getCovariants() - Method in class cascading.pattern.model.generalregression.Parameter

getDeclaredFields() - Method in class cascading.pattern.model.ModelSchema

getDefaultCompareFunction() - Method in class cascading.pattern.model.clustering.ClusteringSpec

getDegreesOfFreedom() - Method in class cascading.pattern.model.generalregression.Parameter

getExpectedField(String) - Method in class cascading.pattern.model.ModelSchema

getExpectedFieldNames() - Method in class cascading.pattern.model.ModelSchema

getFactors() - Method in class cascading.pattern.model.generalregression.Parameter

getFieldName() - Method in class cascading.pattern.model.generalregression.predictor.Predictor

getFlowPlanPath() - Method in class cascading.pattern.pmml.PMMLPlatformTestCase

getFunction(String) - Static method in enum cascading.pattern.model.generalregression.LinkFunction

Returns the corresponding LinkFunction

getGraph() - Method in class cascading.pattern.model.tree.Tree

getID() - Method in class cascading.pattern.model.tree.Node

getIndex() - Method in class cascading.pattern.model.tree.decision.FinalDecision

getInputFields() - Method in class cascading.pattern.model.ModelSchema

Returns a Fields data structure naming the input tuple fields.

getKeyField(String) - Method in class cascading.pattern.model.ModelSchema

getKeyFieldNames() - Method in class cascading.pattern.model.ModelSchema

getKeyFields() - Method in class cascading.pattern.model.ModelSchema

getLinkFunction() - Method in class cascading.pattern.model.generalregression.GeneralRegressionSpec

getLogLevel(ClassLoader, String) - Static method in class cascading.pattern.util.Logging

getModelCategories() - Method in class cascading.pattern.ensemble.EnsembleSpec

Returns unique list of all the underlying declared model categories.

getModelSchema() - Method in class cascading.pattern.model.Spec

getModelSpecs() - Method in class cascading.pattern.ensemble.EnsembleSpec

getName() - Method in class cascading.pattern.datafield.DataField

getName() - Method in class cascading.pattern.model.generalregression.expression.ParameterExpression

getName() - Method in class cascading.pattern.model.generalregression.Parameter

getName() - Method in class cascading.pattern.model.tree.decision.Decision

getNormalization() - Method in class cascading.pattern.model.generalregression.GeneralRegressionSpec

getParameter(String) - Method in class cascading.pattern.model.generalregression.RegressionTable

getParameterNames() - Method in class cascading.pattern.model.generalregression.RegressionTable

getPoints() - Method in class cascading.pattern.model.clustering.Cluster

getPointsSize() - Method in class cascading.pattern.model.clustering.Cluster

getPredicate() - Method in class cascading.pattern.model.tree.Node

getPredictedCategories(String) - Method in class cascading.pattern.model.ModelSchema

getPredictedField(String) - Method in class cascading.pattern.model.ModelSchema

getPredictedFieldNames() - Method in class cascading.pattern.model.ModelSchema

getPredictedFields() - Method in class cascading.pattern.model.ModelSchema

getRegressionTableEvaluators(Fields) - Method in class cascading.pattern.model.generalregression.GeneralRegressionSpec

getRegressionTables() - Method in class cascading.pattern.model.generalregression.GeneralRegressionSpec

getResultPath() - Method in class cascading.pattern.pmml.PMMLPlatformTestCase

getRoot() - Method in class cascading.pattern.model.tree.Tree

getScore() - Method in class cascading.pattern.model.tree.decision.FinalDecision

getScore() - Method in class cascading.pattern.model.tree.Node

getScores() - Method in class cascading.pattern.model.tree.Tree

getSelectionStrategy() - Method in class cascading.pattern.ensemble.EnsembleSpec

getSpec() - Method in class cascading.pattern.model.ModelScoringFunction

getStaticField(Class, String) - Static method in class cascading.pattern.util.Reflection

getTargetCategory() - Method in class cascading.pattern.model.clustering.Cluster

getTargetCategory() - Method in class cascading.pattern.model.generalregression.expression.ExpressionEvaluator

getTargetCategory() - Method in class cascading.pattern.model.generalregression.RegressionTable

getTree() - Method in class cascading.pattern.model.tree.TreeSpec

getType() - Method in class cascading.pattern.datafield.DataField

getValue() - Method in class cascading.pattern.model.tree.predicate.ComparablePredicate

graph - Variable in class cascading.pattern.model.tree.Tree

GreaterOrEqualThanPredicate - Class in cascading.pattern.model.tree.predicate

GreaterOrEqualThanPredicate(String, Comparable) - Constructor for class cascading.pattern.model.tree.predicate.GreaterOrEqualThanPredicate

GreaterThanPredicate - Class in cascading.pattern.model.tree.predicate

GreaterThanPredicate(String, Comparable) - Constructor for class cascading.pattern.model.tree.predicate.GreaterThanPredicate

H

hashCode() - Method in class cascading.pattern.model.tree.Node

I

InsertGUID - Class in cascading.pattern.ensemble.function

Class InsertGUID creates a globally unique ID by calling UUID.randomUUID().

InsertGUID(Pipe, Fields) - Constructor for class cascading.pattern.ensemble.function.InsertGUID

invoke(TupleEntry) - Method in class cascading.pattern.model.tree.decision.PredicateEvaluator.CompoundPredicateInvoker

invoke(TupleEntry) - Method in interface cascading.pattern.model.tree.decision.PredicateEvaluator.Invoker

invoke(TupleEntry) - Method in class cascading.pattern.model.tree.decision.PredicateEvaluator.NoArgPredicateInvoker

invoke(TupleEntry) - Method in class cascading.pattern.model.tree.decision.PredicateEvaluator.PredicateInvoker

invokeInstanceMethod(Object, String) - Static method in class cascading.pattern.util.Reflection

invokeInstanceMethod(Object, String, Object, Class) - Static method in class cascading.pattern.util.Reflection

invokeInstanceMethod(Object, String, Object[], Class[]) - Static method in class cascading.pattern.util.Reflection

invokeStaticMethod(ClassLoader, String, String, Object[], Class[]) - Static method in class cascading.pattern.util.Reflection

invokeStaticMethod(Class, String, Object[], Class[]) - Static method in class cascading.pattern.util.Reflection

isIncludePredictedCategories() - Method in class cascading.pattern.model.ModelSchema

IsInSetPredicate - Class in cascading.pattern.model.tree.predicate

Class IsInSetPredicate returns true if the current value is in the given collection of values.

IsInSetPredicate(String, Collection) - Constructor for class cascading.pattern.model.tree.predicate.IsInSetPredicate

IsMissingPredicate - Class in cascading.pattern.model.tree.predicate

Class IsMissingPredicate returns true if the given field has a null value.

IsMissingPredicate(String) - Constructor for class cascading.pattern.model.tree.predicate.IsMissingPredicate

isNoOp() - Method in class cascading.pattern.model.generalregression.Parameter

isNoOp() - Method in class cascading.pattern.model.generalregression.RegressionTable

IsNotInSetPredicate - Class in cascading.pattern.model.tree.predicate

Class IsNotInSetPredicate returns true if the current value is not in the given collection of values.

IsNotInSetPredicate(String, Collection) - Constructor for class cascading.pattern.model.tree.predicate.IsNotInSetPredicate

IsNotMissingPredicate - Class in cascading.pattern.model.tree.predicate

Class IsNotMissingPredicate returns true if the given field does not have a null value.

IsNotMissingPredicate(String) - Constructor for class cascading.pattern.model.tree.predicate.IsNotMissingPredicate

isParallel() - Method in class cascading.pattern.ensemble.EnsembleSpec

isParallel() - Method in class cascading.pattern.ensemble.selection.Average

isParallel() - Method in class cascading.pattern.ensemble.selection.MajorityVote

isParallel() - Method in class cascading.pattern.ensemble.selection.SelectionStrategy

isPredictedCategorical() - Method in class cascading.pattern.model.Spec

isSafe - Variable in class cascading.pattern.model.ModelScoringFunction

isSafe() - Method in class cascading.pattern.model.ModelScoringFunction

L

LessOrEqualThanPredicate - Class in cascading.pattern.model.tree.predicate

LessOrEqualThanPredicate(String, Comparable) - Constructor for class cascading.pattern.model.tree.predicate.LessOrEqualThanPredicate

LessThanPredicate - Class in cascading.pattern.model.tree.predicate

LessThanPredicate(String, Comparable) - Constructor for class cascading.pattern.model.tree.predicate.LessThanPredicate

LinkFunction - Enum in cascading.pattern.model.generalregression

Enum for the LinkFunction in GLM

Logging - Class in cascading.pattern.util

LogUtil is an internal utility class for setting log levels.

Logging() - Constructor for class cascading.pattern.util.Logging

M

MajorityVote - Class in cascading.pattern.ensemble.selection

MajorityVote() - Constructor for class cascading.pattern.ensemble.selection.MajorityVote

matches(String) - Method in class cascading.pattern.model.generalregression.predictor.FactorPredictor

ModelSchema - Class in cascading.pattern.model

ModelSchema() - Constructor for class cascading.pattern.model.ModelSchema

ModelSchema(Fields, Fields) - Constructor for class cascading.pattern.model.ModelSchema

modelSchema - Variable in class cascading.pattern.model.Spec

ModelScoringFunction<S extends Spec,P> - Class in cascading.pattern.model

ModelScoringFunction(S, boolean) - Constructor for class cascading.pattern.model.ModelScoringFunction

ModelScoringFunction(S) - Constructor for class cascading.pattern.model.ModelScoringFunction

ModelScoringFunction.Context<Payload> - Class in cascading.pattern.model

Class Context is used to hold intermediate values.

ModelScoringFunction.Context(int) - Constructor for class cascading.pattern.model.ModelScoringFunction.Context

ModelScoringFunction.Result<In,Out> - Interface in cascading.pattern.model

modelSpecs - Variable in class cascading.pattern.ensemble.EnsembleSpec

N

name - Variable in class cascading.pattern.datafield.DataField

name - Variable in class cascading.pattern.model.tree.decision.Decision

Node - Class in cascading.pattern.model.tree

Node(String, Predicate) - Constructor for class cascading.pattern.model.tree.Node

Node(String, Predicate, Object) - Constructor for class cascading.pattern.model.tree.Node

Node(String) - Constructor for class cascading.pattern.model.tree.Node

NONE - Static variable in class cascading.pattern.model.generalregression.normalization.Normalization

Normalization - Class in cascading.pattern.model.generalregression.normalization

Normalization() - Constructor for class cascading.pattern.model.generalregression.normalization.Normalization

normalize(double[]) - Method in class cascading.pattern.model.generalregression.normalization.Normalization

normalize(double[]) - Method in class cascading.pattern.model.generalregression.normalization.SoftMaxNormalization

NotEqualsToPredicate - Class in cascading.pattern.model.tree.predicate

NotEqualsToPredicate(String, Object) - Constructor for class cascading.pattern.model.tree.predicate.NotEqualsToPredicate

O

operate(FlowProcess, BufferCall<CategoricalSelectionBuffer.DecisionContext>) - Method in class cascading.pattern.ensemble.selection.CategoricalSelectionBuffer

operate(FlowProcess, BufferCall<PredictionSelectionBuffer.DecisionContext>) - Method in class cascading.pattern.ensemble.selection.PredictionSelectionBuffer

operate(FlowProcess, FunctionCall<ModelScoringFunction.Context<ClusteringFunction.EvaluatorContext>>) - Method in class cascading.pattern.model.clustering.ClusteringFunction

operate(FlowProcess, FunctionCall<ModelScoringFunction.Context<BaseRegressionFunction.ExpressionContext>>) - Method in class cascading.pattern.model.generalregression.CategoricalRegressionFunction

operate(FlowProcess, FunctionCall<ModelScoringFunction.Context<BaseRegressionFunction.ExpressionContext>>) - Method in class cascading.pattern.model.generalregression.PredictionRegressionFunction

operate(FlowProcess, FunctionCall<ModelScoringFunction.Context<DecisionTree>>) - Method in class cascading.pattern.model.tree.TreeFunction

ordinal - Variable in class cascading.pattern.model.clustering.Cluster

OrPredicate - Class in cascading.pattern.model.tree.predicate.compound

Class OrPredicate returns true if any child predicate returns true.

OrPredicate(List<Predicate>) - Constructor for class cascading.pattern.model.tree.predicate.compound.OrPredicate

OrPredicate(Predicate...) - Constructor for class cascading.pattern.model.tree.predicate.compound.OrPredicate

P

ParallelEnsembleAssembly - Class in cascading.pattern.ensemble

Class ParallelEnsembleAssembly allows for the execution of multiple models in parallel where the result is either a prediction or classification, depending on the predicted fields data type.

ParallelEnsembleAssembly(Pipe, EnsembleSpec) - Constructor for class cascading.pattern.ensemble.ParallelEnsembleAssembly

Parameter - Class in cascading.pattern.model.generalregression

Parameter(String, double, int) - Constructor for class cascading.pattern.model.generalregression.Parameter

Parameter(String, double) - Constructor for class cascading.pattern.model.generalregression.Parameter

Parameter(String, double, Predictor...) - Constructor for class cascading.pattern.model.generalregression.Parameter

Parameter(String, double, List<Predictor>) - Constructor for class cascading.pattern.model.generalregression.Parameter

ParameterExpression - Class in cascading.pattern.model.generalregression.expression

ParameterExpression(Fields, Parameter) - Constructor for class cascading.pattern.model.generalregression.expression.ParameterExpression

PatternException - Exception in cascading.pattern

PatternException() - Constructor for exception cascading.pattern.PatternException

PatternException(String) - Constructor for exception cascading.pattern.PatternException

PatternException(String, Throwable) - Constructor for exception cascading.pattern.PatternException

payload - Variable in class cascading.pattern.model.ModelScoringFunction.Context

PMMLPlatformTestCase - Class in cascading.pattern.pmml

PMMLPlatformTestCase() - Constructor for class cascading.pattern.pmml.PMMLPlatformTestCase

pmmlTest(String, Fields, Fields) - Method in class cascading.pattern.pmml.PMMLPlatformTestCase

pmmlTest(String, Fields, Fields, Fields, Tuple[]) - Method in class cascading.pattern.pmml.PMMLPlatformTestCase

points - Variable in class cascading.pattern.model.clustering.Cluster

Predicate - Class in cascading.pattern.model.tree.predicate

Predicate() - Constructor for class cascading.pattern.model.tree.predicate.Predicate

PredicateEvaluator - Class in cascading.pattern.model.tree.decision

PredicateEvaluator(Fields, Predicate) - Constructor for class cascading.pattern.model.tree.decision.PredicateEvaluator

PredicateEvaluator.CompoundPredicateInvoker - Class in cascading.pattern.model.tree.decision

PredicateEvaluator.CompoundPredicateInvoker(CompoundPredicate, PredicateEvaluator.Invoker[]) - Constructor for class cascading.pattern.model.tree.decision.PredicateEvaluator.CompoundPredicateInvoker

PredicateEvaluator.Invoker - Interface in cascading.pattern.model.tree.decision

PredicateEvaluator.NoArgPredicateInvoker - Class in cascading.pattern.model.tree.decision

PredicateEvaluator.NoArgPredicateInvoker(SimplePredicate) - Constructor for class cascading.pattern.model.tree.decision.PredicateEvaluator.NoArgPredicateInvoker

PredicateEvaluator.PredicateInvoker - Class in cascading.pattern.model.tree.decision

PredicateEvaluator.PredicateInvoker(SimplePredicate, int) - Constructor for class cascading.pattern.model.tree.decision.PredicateEvaluator.PredicateInvoker

PredictionRegressionFunction - Class in cascading.pattern.model.generalregression

Class PredictionRegressionFunction will return a single prediction as determined by the RegressionTables added to the GeneralRegressionSpec.

PredictionRegressionFunction(GeneralRegressionSpec) - Constructor for class cascading.pattern.model.generalregression.PredictionRegressionFunction

PredictionSelectionBuffer - Class in cascading.pattern.ensemble.selection

PredictionSelectionBuffer(EnsembleSpec) - Constructor for class cascading.pattern.ensemble.selection.PredictionSelectionBuffer

PredictionSelectionBuffer.DecisionContext - Class in cascading.pattern.ensemble.selection

PredictionSelectionBuffer.DecisionContext() - Constructor for class cascading.pattern.ensemble.selection.PredictionSelectionBuffer.DecisionContext

PredictionSelector - Class in cascading.pattern.ensemble.selection

PredictionSelector() - Constructor for class cascading.pattern.ensemble.selection.PredictionSelector

Predictor - Class in cascading.pattern.model.generalregression.predictor

Predictor(String) - Constructor for class cascading.pattern.model.generalregression.predictor.Predictor

prepare(FlowProcess, OperationCall<CategoricalSelectionBuffer.DecisionContext>) - Method in class cascading.pattern.ensemble.selection.CategoricalSelectionBuffer

prepare(FlowProcess, OperationCall<PredictionSelectionBuffer.DecisionContext>) - Method in class cascading.pattern.ensemble.selection.PredictionSelectionBuffer

prepare(FlowProcess, OperationCall<ModelScoringFunction.Context<ClusteringFunction.EvaluatorContext>>) - Method in class cascading.pattern.model.clustering.ClusteringFunction

prepare(FlowProcess, OperationCall<ModelScoringFunction.Context<BaseRegressionFunction.ExpressionContext>>) - Method in class cascading.pattern.model.generalregression.CategoricalRegressionFunction

prepare(FlowProcess, OperationCall<ModelScoringFunction.Context<P>>) - Method in class cascading.pattern.model.ModelScoringFunction

prepare(FlowProcess, OperationCall<ModelScoringFunction.Context<DecisionTree>>) - Method in class cascading.pattern.model.tree.TreeFunction

R

Reflection - Class in cascading.pattern.util

Reflection is a reflection utility helper.

Reflection() - Constructor for class cascading.pattern.util.Reflection

RegressionTable - Class in cascading.pattern.model.generalregression

Class RegressionTable simply holds a set of Parameter instances.

RegressionTable() - Constructor for class cascading.pattern.model.generalregression.RegressionTable

RegressionTable(String) - Constructor for class cascading.pattern.model.generalregression.RegressionTable

result(Object) - Method in class cascading.pattern.ensemble.selection.CategoricalSelectionBuffer.DecisionContext

result(Object) - Method in class cascading.pattern.ensemble.selection.PredictionSelectionBuffer.DecisionContext

result(double, double) - Method in class cascading.pattern.model.clustering.compare.AbsoluteDifferenceCompareFunction

result(double, double) - Method in class cascading.pattern.model.clustering.compare.CompareFunction

result(Object) - Method in class cascading.pattern.model.ModelScoringFunction.Context

results - Variable in class cascading.pattern.ensemble.selection.CategoricalSelectionBuffer.DecisionContext

results - Variable in class cascading.pattern.ensemble.selection.PredictionSelectionBuffer.DecisionContext

results - Variable in class cascading.pattern.model.clustering.ClusteringFunction.EvaluatorContext

root - Variable in class cascading.pattern.model.tree.Tree

S

SAFE_DEFAULT - Static variable in class cascading.pattern.model.ModelScoringFunction

select(int[]) - Method in class cascading.pattern.ensemble.selection.CategoricalSelector

select(int[]) - Method in class cascading.pattern.ensemble.selection.MajorityVote

SelectionBuffer<Context> - Class in cascading.pattern.ensemble.selection

SelectionBuffer(Fields, EnsembleSpec) - Constructor for class cascading.pattern.ensemble.selection.SelectionBuffer

selectionStrategy - Variable in class cascading.pattern.ensemble.EnsembleSpec

SelectionStrategy - Class in cascading.pattern.ensemble.selection

SelectionStrategy() - Constructor for class cascading.pattern.ensemble.selection.SelectionStrategy

setClusters(List<Cluster>) - Method in class cascading.pattern.model.clustering.ClusteringSpec

setComparisonMeasure(ComparisonMeasure) - Method in class cascading.pattern.model.clustering.ClusteringSpec

setDefaultCompareFunction(CompareFunction) - Method in class cascading.pattern.model.clustering.ClusteringSpec

setIncludePredictedCategories(boolean) - Method in class cascading.pattern.model.ModelSchema

setLinkFunction(LinkFunction) - Method in class cascading.pattern.model.generalregression.GeneralRegressionSpec

setLogLevel(String) - Static method in class cascading.pattern.util.Logging

setLogLevel(Class, String, String) - Static method in class cascading.pattern.util.Logging

setLogLevel(ClassLoader, String, String) - Static method in class cascading.pattern.util.Logging

setModelSchema(ModelSchema) - Method in class cascading.pattern.model.Spec

setNormalization(Normalization) - Method in class cascading.pattern.model.generalregression.GeneralRegressionSpec

setOrdinal(int) - Method in class cascading.pattern.model.clustering.Cluster

setPredictedCategories(String, String...) - Method in class cascading.pattern.model.ModelSchema

setPredictedFields(Fields) - Method in class cascading.pattern.model.ModelSchema

setPredictedFields(List<DataField>) - Method in class cascading.pattern.model.ModelSchema

setPredictedFields(DataField) - Method in class cascading.pattern.model.ModelSchema

setScore(String) - Method in class cascading.pattern.model.tree.Node

setSelectionStrategy(SelectionStrategy) - Method in class cascading.pattern.ensemble.EnsembleSpec

setTargetCategory(String) - Method in class cascading.pattern.model.generalregression.RegressionTable

setTree(Tree) - Method in class cascading.pattern.model.tree.TreeSpec

setUp() - Method in class cascading.pattern.pmml.PMMLPlatformTestCase

SimplePMMLPlatformTest - Class in cascading.pattern.pmml

SimplePMMLPlatformTest() - Constructor for class cascading.pattern.pmml.SimplePMMLPlatformTest

SimplePredicate - Class in cascading.pattern.model.tree.predicate

SimplePredicate(String) - Constructor for class cascading.pattern.model.tree.predicate.SimplePredicate

SimpleSetPredicate - Class in cascading.pattern.model.tree.predicate

SimpleSetPredicate(String, Collection) - Constructor for class cascading.pattern.model.tree.predicate.SimpleSetPredicate

SoftMaxNormalization - Class in cascading.pattern.model.generalregression.normalization

SoftMaxNormalization() - Constructor for class cascading.pattern.model.generalregression.normalization.SoftMaxNormalization

spec - Variable in class cascading.pattern.model.ModelScoringFunction

Spec - Class in cascading.pattern.model

Spec() - Constructor for class cascading.pattern.model.Spec

Spec(ModelSchema) - Constructor for class cascading.pattern.model.Spec

SquaredEuclideanMeasure - Class in cascading.pattern.model.clustering.measure

SquaredEuclideanMeasure() - Constructor for class cascading.pattern.model.clustering.measure.SquaredEuclideanMeasure

SurrogatePredicate - Class in cascading.pattern.model.tree.predicate.compound

Class SurrogatePredicate returns the result of the first child predicate that as non null or not missing value.

SurrogatePredicate(List<Predicate>) - Constructor for class cascading.pattern.model.tree.predicate.compound.SurrogatePredicate

SurrogatePredicate(Predicate...) - Constructor for class cascading.pattern.model.tree.predicate.compound.SurrogatePredicate

T

targetCategory - Variable in class cascading.pattern.model.clustering.Cluster

testIrisGLM() - Method in class cascading.pattern.pmml.SimplePMMLPlatformTest

testIrisHC() - Method in class cascading.pattern.pmml.SimplePMMLPlatformTest

testIrisKMeans() - Method in class cascading.pattern.pmml.SimplePMMLPlatformTest

testIrisLM() - Method in class cascading.pattern.pmml.SimplePMMLPlatformTest

testIrisMultiNom() - Method in class cascading.pattern.pmml.SimplePMMLPlatformTest

testIrisNN() - Method in class cascading.pattern.pmml.SimplePMMLPlatformTest

testIrisRandomForest() - Method in class cascading.pattern.pmml.SimplePMMLPlatformTest

testIrisRPart() - Method in class cascading.pattern.pmml.SimplePMMLPlatformTest

testIrisSVM() - Method in class cascading.pattern.pmml.SimplePMMLPlatformTest

testKMeans() - Method in class cascading.pattern.pmml.SimplePMMLPlatformTest

testRandomforest() - Method in class cascading.pattern.pmml.SimplePMMLPlatformTest

testRandomForestRegression() - Method in class cascading.pattern.pmml.SimplePMMLPlatformTest

testSampleRandomForest() - Method in class cascading.pattern.pmml.SimplePMMLPlatformTest

toString() - Method in class cascading.pattern.datafield.DataField

toString() - Method in class cascading.pattern.ensemble.EnsembleSpec

toString() - Method in class cascading.pattern.ensemble.selection.SelectionStrategy

toString() - Method in class cascading.pattern.model.clustering.ClusteringSpec

toString() - Method in class cascading.pattern.model.generalregression.GeneralRegressionSpec

toString() - Method in class cascading.pattern.model.generalregression.RegressionTable

toString() - Method in class cascading.pattern.model.tree.decision.Decision

toString(StringBuilder) - Method in class cascading.pattern.model.tree.decision.Decision

toString() - Method in class cascading.pattern.model.tree.decision.FinalDecision

toString() - Method in class cascading.pattern.model.tree.Node

toString() - Method in class cascading.pattern.model.tree.predicate.compound.CompoundPredicate

toString() - Method in class cascading.pattern.model.tree.predicate.SimplePredicate

toString() - Method in class cascading.pattern.model.tree.Tree

toString() - Method in class cascading.pattern.model.tree.TreeSpec

transform(In) - Method in interface cascading.pattern.model.ModelScoringFunction.Result

Tree - Class in cascading.pattern.model.tree

Class Tree defines a decision tree.

Tree(String) - Constructor for class cascading.pattern.model.tree.Tree

tree - Variable in class cascading.pattern.model.tree.TreeSpec

TreeFunction - Class in cascading.pattern.model.tree

Class TreeFunction will return the result or score from the given decision tree defined by the TreeSpec.

TreeFunction(TreeSpec) - Constructor for class cascading.pattern.model.tree.TreeFunction

TreeFunction(TreeSpec, boolean, boolean) - Constructor for class cascading.pattern.model.tree.TreeFunction

TreeSpec - Class in cascading.pattern.model.tree

Class TreeSpec is used to define a decision tree model.

TreeSpec(ModelSchema) - Constructor for class cascading.pattern.model.tree.TreeSpec

TreeSpec(ModelSchema, Tree) - Constructor for class cascading.pattern.model.tree.TreeSpec

TruePredicate - Class in cascading.pattern.model.tree.predicate

Class TruePredicate always evaluates to true.

TruePredicate() - Constructor for class cascading.pattern.model.tree.predicate.TruePredicate

tuple - Variable in class cascading.pattern.ensemble.selection.CategoricalSelectionBuffer.DecisionContext

tuple - Variable in class cascading.pattern.ensemble.selection.PredictionSelectionBuffer.DecisionContext

tuple - Variable in class cascading.pattern.model.ModelScoringFunction.Context

type - Variable in class cascading.pattern.datafield.DataField

V

valueOf(String) - Static method in enum cascading.pattern.model.generalregression.LinkFunction

Returns the enum constant of this type with the specified name.

values() - Static method in enum cascading.pattern.model.generalregression.LinkFunction

Returns an array containing the constants of this enum type, in the order they are declared.

X

XorPredicate - Class in cascading.pattern.model.tree.predicate.compound

Class XorPredicate returns true if an odd number of child predicates return true.

XorPredicate(List<Predicate>) - Constructor for class cascading.pattern.model.tree.predicate.compound.XorPredicate

XorPredicate(Predicate...) - Constructor for class cascading.pattern.model.tree.predicate.compound.XorPredicate

A C D E F G H I L M N O P R S T V X