Package | Description |
---|---|
com.pervasive.datarush.analytics.arm |
Provides common classes for Association Rule Mining (ARM).
|
com.pervasive.datarush.analytics.arm.fpgrowth |
Provides the operator to perform the FP-growth ARM algorithm.
|
com.pervasive.datarush.analytics.cleansing |
Provides operators related to data cleansing.
|
com.pervasive.datarush.analytics.cluster.kmeans |
Provides the KMeans algorithm.
|
com.pervasive.datarush.analytics.decisiontree.learner |
Provides the PMML learner operator and associated classes.
|
com.pervasive.datarush.analytics.decisiontree.pruner |
Provides the decision tree pruner operator and associated classes.
|
com.pervasive.datarush.analytics.naivebayes.learner |
Provides an implementation of the Naive Bayes learner.
|
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.learner |
Provides an implementation of an SVM learner.
|
com.pervasive.datarush.analytics.util |
Provides some (internal) utility classes for Analytics.
|
Modifier and Type | Method and Description |
---|---|
PMMLPort |
ConvertARMModel.getInput()
Get the input port that will receive the PMML model.
|
PMMLPort |
FrequentItems.getModel()
Get the output PMML model port of this plan operator.
|
Modifier and Type | Method and Description |
---|---|
PMMLPort |
FPGrowth.getModel()
Get the output port containing the generated PMML-based association model.
|
Modifier and Type | Method and Description |
---|---|
PMMLPort |
ReplaceMissingValues.getModel()
Returns a port that will output a
PMMLSummaryStatisticsModel . |
PMMLPort |
ReplaceMissingValues.getStatisticsInput()
Gets the optional model port providing statistics for
replace specifications based on column statistics.
|
Modifier and Type | Method and Description |
---|---|
PMMLPort |
KMeans.getModel()
Returns the model port.
|
Modifier and Type | Method and Description |
---|---|
PMMLPort |
DecisionTreeLearner.getModel()
Returns the output port that will output the model that is built from the
training data.
|
Modifier and Type | Method and Description |
---|---|
PMMLPort |
DecisionTreePruner.getInput()
Returns the input port.
|
PMMLPort |
DecisionTreePruner.getOutput()
Returns the output port.
|
Modifier and Type | Method and Description |
---|---|
PMMLPort |
NaiveBayesLearner.getModel()
Returns the output PMML model port.
|
Modifier and Type | Field and Description |
---|---|
static AbstractModelPortFactory<PMMLModel,PMMLPort> |
PMMLPort.FACTORY
A factory for PMML ports.
|
Modifier and Type | Method and Description |
---|---|
PMMLPort |
WritePMML.getModel()
The port containing the PMML model instance
|
PMMLPort |
ReadPMML.getOutput()
Returns the output port that will contain the PMML model that
is read from the file.
|
Modifier and Type | Method and Description |
---|---|
AbstractModelPortFactory<PMMLModel,PMMLPort> |
PMMLPort.getFactory() |
Modifier and Type | Method and Description |
---|---|
PMMLPort |
LogisticRegressionLearner.getModelOutput() |
PMMLPort |
LinearRegressionLearner.getOutput()
Get the output port of this operator.
|
Modifier and Type | Method and Description |
---|---|
PMMLPort |
DataQualityAnalyzer.getModel()
Returns a port that will output a
PMMLSummaryStatisticsModel . |
PMMLPort |
NormalizeValues.getModelInput()
Get the optional input port used to read the PMML model
containing field statistics needed by normalization methods.
|
PMMLPort |
SummaryStatistics.getOutput()
Returns an output port that will produce a
PMMLSummaryStatisticsModel . |
Modifier and Type | Method and Description |
---|---|
PMMLPort |
SVMLearner.getModel()
Returns a dataflow variable that will contain the PMML model.
|
Modifier and Type | Method and Description |
---|---|
PMMLPort |
AbstractPredictor.getModel()
The input for supplying the PMML model
|
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