Package | Description |
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org.deidentifier.arx |
This package provides the public API for the ARX anonymization framework.
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org.deidentifier.arx.aggregates |
This package provides methods for aggregating data:
(1) builders for generalization hierarchies,
(2) various methods for analyzing data quality and utility
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org.deidentifier.arx.aggregates.classification |
This package implementations for analyzing the effect of
anonymization on classification tasks
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org.deidentifier.arx.gui.model |
Modifier and Type | Method and Description |
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static ClassificationConfigurationLogisticRegression |
ARXClassificationConfiguration.createLogisticRegression()
Creates a new instance for logistic regression classifiers
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Modifier and Type | Method and Description |
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ClassificationConfigurationLogisticRegression |
ClassificationConfigurationLogisticRegression.clone() |
static ClassificationConfigurationLogisticRegression |
ClassificationConfigurationLogisticRegression.create()
Returns a new instance
|
ClassificationConfigurationLogisticRegression |
ClassificationConfigurationLogisticRegression.setAlpha(double alpha) |
ClassificationConfigurationLogisticRegression |
ClassificationConfigurationLogisticRegression.setDecayExponent(double decayExponent) |
ClassificationConfigurationLogisticRegression |
ClassificationConfigurationLogisticRegression.setDeterministic(boolean deterministic)
Sets whether the process should be deterministic
|
ClassificationConfigurationLogisticRegression |
ClassificationConfigurationLogisticRegression.setLambda(double lambda) |
ClassificationConfigurationLogisticRegression |
ClassificationConfigurationLogisticRegression.setLearningRate(double learningRate) |
ClassificationConfigurationLogisticRegression |
ClassificationConfigurationLogisticRegression.setMaxRecords(int maxRecords) |
ClassificationConfigurationLogisticRegression |
ClassificationConfigurationLogisticRegression.setNumFolds(int numberOfFolds) |
ClassificationConfigurationLogisticRegression |
ClassificationConfigurationLogisticRegression.setPriorFunction(ClassificationConfigurationLogisticRegression.PriorFunction priorFunction) |
ClassificationConfigurationLogisticRegression |
ClassificationConfigurationLogisticRegression.setSeed(int seed)
Seed for randomization.
|
ClassificationConfigurationLogisticRegression |
ClassificationConfigurationLogisticRegression.setStepOffset(int stepOffset) |
ClassificationConfigurationLogisticRegression |
ClassificationConfigurationLogisticRegression.setVectorLength(int vectorLength) |
Constructor and Description |
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MultiClassLogisticRegression(WrappedBoolean interrupt,
ClassificationDataSpecification specification,
ClassificationConfigurationLogisticRegression config,
DataHandleInternal inputHandle)
Creates a new instance
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Modifier and Type | Method and Description |
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ClassificationConfigurationLogisticRegression |
ModelClassification.getLogisticRegressionConfiguration()
Returns a logistic regression configuration for ARX
|