Package | Description |
---|---|
com.pervasive.datarush.analytics.arm |
Provides common classes for Association Rule Mining (ARM).
|
com.pervasive.datarush.analytics.cluster |
Provides base PMML for clustering models.
|
com.pervasive.datarush.analytics.decisiontree |
Provides PMML model classes for decision trees.
|
com.pervasive.datarush.analytics.decisiontree.predictor |
Provides the decision tree predictor operator and associated classes.
|
com.pervasive.datarush.analytics.naivebayes |
Provides PMML model classes for Naive Bayes.
|
com.pervasive.datarush.analytics.naivebayes.predictor |
Provides an implementation of a Naive Bayes predictor.
|
com.pervasive.datarush.analytics.pmml |
Provides shared and base classes for PMML model representation of Analytics algorithms.
|
com.pervasive.datarush.analytics.regression |
Provides utility, PMML and other classes for shared use by regression related entities.
|
com.pervasive.datarush.analytics.stats |
Provides various statistics, Data Summarizer, and Data Quality Analyzer.
|
com.pervasive.datarush.analytics.svm |
Provides PMML model classes for SVM.
|
com.pervasive.datarush.analytics.svm.predictor |
Provides an implementation of an SVM predictor.
|
com.pervasive.datarush.analytics.util |
Provides some (internal) utility classes for Analytics.
|
Modifier and Type | Class and Description |
---|---|
class |
PMMLAssociationModel
Captures the information required to build a PMML Association model.
|
Modifier and Type | Class and Description |
---|---|
class |
PMMLClusteringModel
PMML clustering model.
|
Modifier and Type | Method and Description |
---|---|
protected void |
ClusterPredictor.execute(PMMLModel model,
RecordValued input,
ScalarSettable[] predictedFields) |
Modifier and Type | Class and Description |
---|---|
class |
PMMLTreeModel
PMML TreeModel.
|
Modifier and Type | Method and Description |
---|---|
protected void |
DecisionTreePredictor.execute(PMMLModel pmml,
RecordValued input,
ScalarSettable[] predictedFields) |
Modifier and Type | Class and Description |
---|---|
class |
PMMLNaiveBayesModel
PMML Naive Bayes Model.
|
Modifier and Type | Method and Description |
---|---|
protected void |
NaiveBayesPredictor.execute(PMMLModel pmml,
RecordValued input,
ScalarSettable[] predictedFields) |
Modifier and Type | Class and Description |
---|---|
class |
GenericPMMLModel
A pass-through PMML Model.
|
Modifier and Type | Field and Description |
---|---|
static AbstractModelPortFactory<PMMLModel,PMMLPort> |
PMMLPort.FACTORY
A factory for PMML ports.
|
Modifier and Type | Method and Description |
---|---|
AbstractModelPortFactory<PMMLModel,PMMLPort> |
PMMLPort.getFactory() |
Modifier and Type | Method and Description |
---|---|
PMMLPort.Metadata |
PMMLPort.getMetadata(PMMLModel model) |
Constructor and Description |
---|
PutPMML(PMMLModel model)
Puts a PMMLModel into a graph
|
Modifier and Type | Class and Description |
---|---|
class |
AbstractPMMLRegressionModel
A representation of features found in PMML regressionModel elements that do not
depend on its attributes.
|
class |
PMMLRegressionClassificationModel
Implementation of a 'maximum likelihood' classifier on top of regression models.
|
class |
PMMLRegressionModel
PMML object model for Regression models.
|
Modifier and Type | Method and Description |
---|---|
protected void |
RegressionPredictor.execute(PMMLModel model,
RecordValued input,
ScalarSettable[] predictedFields) |
protected void |
LogisticRegressionPredictor.execute(PMMLModel pmml,
RecordValued input,
ScalarSettable[] predictedFields) |
Modifier and Type | Class and Description |
---|---|
class |
PMMLSummaryStatisticsModel
PMML ModelStats.
|
Modifier and Type | Class and Description |
---|---|
class |
PMMLSupportVectorMachineModel
PMML SupportVectorMachineModel.
|
Modifier and Type | Method and Description |
---|---|
protected void |
SVMPredictor.execute(PMMLModel pmml,
RecordValued input,
ScalarSettable[] predictedFields) |
Modifier and Type | Method and Description |
---|---|
protected abstract void |
AbstractPredictor.execute(PMMLModel model,
RecordValued input,
ScalarSettable[] predictedFields)
Called to perform prediction.
|
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