Uses of Interface
com.pervasive.datarush.tokens.record.RecordValued
Packages that use RecordValued
Package
Description
Provides base PMML for clustering models.
Provides the decision tree predictor operator and associated classes.
Provides an implementation of a Naive Bayes predictor.
Provides utility, PMML and other classes for shared use by regression related entities.
Provides an implementation of an SVM predictor.
Provides some (internal) utility classes for Analytics.
Provides classes and interfaces related to defining functions on records.
Provides base file I/O components including encoders and decoders.
Provides operators for reading and writing DataRush staging datasets.
Provides classes and interfaces for accessing and producing the data flowing
between operators in a dataflow graph.
Provides implementations of port objects related to the flow of record sets
between operators.
Provides implementations of sequences of record valued tokens.
Provides classes and utilities for working with data tokens.
Provides implementations of and utilities for record valued
tokens.
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Uses of RecordValued in com.pervasive.datarush.analytics.cluster
Methods in com.pervasive.datarush.analytics.cluster with parameters of type RecordValuedModifier and TypeMethodDescriptionprotected voidClusterPredictor.execute(PMMLModel model, RecordValued input, ScalarSettable[] predictedFields) -
Uses of RecordValued in com.pervasive.datarush.analytics.decisiontree.predictor
Methods in com.pervasive.datarush.analytics.decisiontree.predictor with parameters of type RecordValuedModifier and TypeMethodDescriptionprotected voidDecisionTreePredictor.execute(PMMLModel pmml, RecordValued input, ScalarSettable[] predictedFields) -
Uses of RecordValued in com.pervasive.datarush.analytics.naivebayes.predictor
Methods in com.pervasive.datarush.analytics.naivebayes.predictor with parameters of type RecordValuedModifier and TypeMethodDescriptionprotected voidNaiveBayesPredictor.execute(PMMLModel pmml, RecordValued input, ScalarSettable[] predictedFields) -
Uses of RecordValued in com.pervasive.datarush.analytics.regression
Methods in com.pervasive.datarush.analytics.regression with parameters of type RecordValuedModifier and TypeMethodDescriptionprotected voidLogisticRegressionPredictor.execute(PMMLModel pmml, RecordValued input, ScalarSettable[] predictedFields) protected voidRegressionPredictor.execute(PMMLModel model, RecordValued input, ScalarSettable[] predictedFields) com.pervasive.datarush.analytics.regression.AbstractPMMLRegressionModel.ValuePredictorPMMLRegressionClassificationModel.getCategoryPredictor(String category, RecordValued input, DoubleSettable target) Get the likelihood predictor for a particular categorycom.pervasive.datarush.analytics.regression.AbstractPMMLRegressionModel.ValuePredictorPMMLRegressionModel.getValuePredictor(RecordValued input, DoubleSettable target) Get a value predictor for this model. -
Uses of RecordValued in com.pervasive.datarush.analytics.svm.predictor
Methods in com.pervasive.datarush.analytics.svm.predictor with parameters of type RecordValuedModifier and TypeMethodDescriptionprotected voidSVMPredictor.execute(PMMLModel pmml, RecordValued input, ScalarSettable[] predictedFields) -
Uses of RecordValued in com.pervasive.datarush.analytics.util
Methods in com.pervasive.datarush.analytics.util with parameters of type RecordValuedModifier and TypeMethodDescriptionprotected abstract voidAbstractPredictor.execute(PMMLModel model, RecordValued input, ScalarSettable[] predictedFields) Called to perform prediction. -
Uses of RecordValued in com.pervasive.datarush.functions
Methods in com.pervasive.datarush.functions that return RecordValuedModifier and TypeMethodDescriptionEvaluationContext.getInput()Gets the input record used for the top-level expression.Methods in com.pervasive.datarush.functions with parameters of type RecordValuedModifier and TypeMethodDescriptionConstantReference.getEvaluator(RecordValued input, ScalarSettable output) FieldReference.getEvaluator(RecordValued input, ScalarSettable output) ScalarValuedFunction.getEvaluator(RecordValued input, ScalarSettable result) Constructs an instance of an evaluator for the function.Constructors in com.pervasive.datarush.functions with parameters of type RecordValued -
Uses of RecordValued in com.pervasive.datarush.operators.io
Methods in com.pervasive.datarush.operators.io with parameters of type RecordValuedModifier and TypeMethodDescriptionprotected abstract voidAbstractRecordFormatter.bindInputFields(RecordValued source) Provides the buffer holding input data to be formatted. -
Uses of RecordValued in com.pervasive.datarush.operators.io.staging
Classes in com.pervasive.datarush.operators.io.staging that implement RecordValuedModifier and TypeClassDescriptionfinal classUtility for reading a data-set written byWriteStagingDatasetoutside of an engine context. -
Uses of RecordValued in com.pervasive.datarush.ports.physical
Subinterfaces of RecordValued in com.pervasive.datarush.ports.physicalModifier and TypeInterfaceDescriptioninterfaceAn input port on a record data flow.interfaceConstructors in com.pervasive.datarush.ports.physical with parameters of type RecordValuedModifierConstructorDescriptionFieldCopier(ScalarOutputField[] outputs, RecordValued input) Creates a setter binding the specified output fields to the provided input values.FieldCopier(ScalarOutputField[] outputs, RecordValued input, Map<String, ScalarValuedFunction> replacements) Creates a setter binding the specified output fields to the provided input values and functions.FieldCopier(RecordSettable target, RecordValued source) Creates a setter binding the specified output buffer to the provided input values.FieldCopier(RecordSettable target, RecordValued source, Map<String, ScalarValuedFunction> replacements) Creates a setter binding the specified output buffer to the provided input values and functions. -
Uses of RecordValued in com.pervasive.datarush.ports.record
Methods in com.pervasive.datarush.ports.record that return RecordValuedModifier and TypeMethodDescriptionPartitioningFunctionContext.getInput()Returns the data to be partitioned -
Uses of RecordValued in com.pervasive.datarush.sequences.record
Subinterfaces of RecordValued in com.pervasive.datarush.sequences.recordModifier and TypeInterfaceDescriptioninterfaceA record iterator which has resources which need to be released when being disposed.interfaceIterator over record values.interfaceA repositionable iterator over record values.Methods in com.pervasive.datarush.sequences.record that return RecordValued -
Uses of RecordValued in com.pervasive.datarush.tokens
Methods in com.pervasive.datarush.tokens with parameters of type RecordValuedModifier and TypeMethodDescriptionstatic <T extends ScalarValued>
T[]TokenUtils.castFields(RecordValued value, Class<T> clazz, String[] fieldNames) Extracts the given list of field names, casting them to the specified type.static TokenConverter[]TokenConverters.getConverters(RecordValued value) Creates an array of converters for each scalar field in the given record value.static ScalarValued[]TokenUtils.selectFields(RecordValued value, String[] fieldNames) Extracts the given list of field values from a record value. -
Uses of RecordValued in com.pervasive.datarush.tokens.record
Classes in com.pervasive.datarush.tokens.record that implement RecordValuedModifier and TypeClassDescriptionclassAbstractRecordValued<F extends ScalarValued>For internal use only.classA composite value comprised of scalar valued fields.classAn iterator capable of providing access to a subset of records within the record map's cache.classA composite register of scalar registers; a mutableRecordValuedobject.final classA composite token of scalar valued tokens; an immutableRecordValuedobject.final classAn adapter for converting the apparent type of aRecordValued.classA composite register of scalar registers; a mutableRecordValuedobject.Methods in com.pervasive.datarush.tokens.record with parameters of type RecordValuedModifier and TypeMethodDescriptionFieldIteratorHelper.newFieldIterator(RecordValued record) InvokesnewFieldIterator(ScalarTokenType, String[]), specifying the iteratorType and selectedFields arguments that were passed to this object's constructor.RecordMap.newIterator(RecordValued value) Create aRecordMap.RecordMapIteratorthat is able to reference key values in the given record valued data source.RecordToIDMap.newLRUWriteAccessor(RecordValued value, int maxSize) Creates an accessor for building the map.RecordToIDMap.newReadAccessor(RecordValued value) Creates an accessor for performing lookup operations.RecordToIDMap.newWriteAccessor(RecordValued value) Creates an accessor for building the map.Constructors in com.pervasive.datarush.tokens.record with parameters of type RecordValuedModifierConstructorDescriptionFieldIteratorManager(RecordValued record, ModificationCountProvider modificationCountProvider) Creates a new FieldIteratorManager.RecordToken(RecordValued value) Constructs a new token with the composite value in the given container.RecordValuedFilter(RecordTokenType targetType, RecordValued source) Defines aRecordValuedobject, declaring the specified type, backed by the underlying source.RecordValuedFilter(RecordTokenType targetType, RecordValued source, ModificationCountProvider modificationCountProvider) Defines aRecordValuedobject, declaring the specified type, backed by the underlying source.RecordValuedFilter(RecordTokenType targetType, Map<String, String> targetToSourceNameMapping, RecordValued source) Defines aRecordValuedobject, declaring the specified type, backed by the underlying source.RecordValuedFilter(RecordTokenType targetType, Map<String, String> targetToSourceNameMapping, RecordValued source, ModificationCountProvider modificationCountProvider) Defines aRecordValuedobject, declaring the specified type, backed by the underlying source.