本文整理汇总了Java中org.deidentifier.arx.DataHandle类的典型用法代码示例。如果您正苦于以下问题：Java DataHandle类的具体用法？Java DataHandle怎么用？Java DataHandle使用的例子？那么恭喜您, 这里精选的类代码示例或许可以为您提供帮助。
DataHandle类属于org.deidentifier.arx包，在下文中一共展示了DataHandle类的15个代码示例，这些例子默认根据受欢迎程度排序。您可以为喜欢或者感觉有用的代码点赞，您的评价将有助于系统推荐出更棒的Java代码示例。
示例1: toArray
import org.deidentifier.arx.DataHandle; //导入依赖的package包/类
/**
* Returns an array representation of the dataset. Extracts all attributes that are defined
* as quasi-identifiers in the given definition
*
* @param handle
* @param definition
* @return
*/
public String[][] toArray(DataHandle handle, DataDefinition definition) {
List<Integer> indices = new ArrayList<Integer>();
for (String attribute : definition.getQuasiIdentifyingAttributes()) {
indices.add(handle.getColumnIndexOf(attribute));
}
List<String[]> list = new ArrayList<String[]>();
Iterator<String[]> iter = handle.iterator();
iter.next(); // Skip header
for (;iter.hasNext();) {
String[] input = iter.next();
String[] output = new String[indices.size()];
int i = 0;
for (int index : indices) {
output[i++] = input[index];
}
list.add(output);
}
return list.toArray(new String[list.size()][]);
}
示例2: determineDataType
import org.deidentifier.arx.DataHandle; //导入依赖的package包/类
/**
* Prints a list of matching data types
* @param handle
* @param column
*/
private static void determineDataType(DataHandle handle, int column) {
System.out.println(" - Potential data types for attribute: "+handle.getAttributeName(column));
List<Pair<DataType<?>, Double>> types = handle.getMatchingDataTypes(column);
// Print entries sorted by match percentage
for (Pair<DataType<?>, Double> entry : types) {
System.out.print(" * ");
System.out.print(entry.getKey().getDescription().getLabel());
if (entry.getKey().getDescription().hasFormat()) {
System.out.print("[");
System.out.print(((DataTypeWithFormat) entry.getKey()).getFormat());
System.out.print("]");
}
System.out.print(": ");
System.out.println(entry.getValue());
}
}
示例3: analyzeData
import org.deidentifier.arx.DataHandle; //导入依赖的package包/类
/**
* Perform risk analysis
* @param handle
*/
private static void analyzeData(DataHandle handle) {
double THRESHOLD = 0.5d;
ARXPopulationModel populationmodel = ARXPopulationModel.create(Region.USA);
RiskEstimateBuilder builder = handle.getRiskEstimator(populationmodel);
RiskModelSampleSummary risks = builder.getSampleBasedRiskSummary(THRESHOLD);
System.out.println(" * Baseline risk threshold: " + getPrecent(THRESHOLD));
System.out.println(" * Prosecutor attacker model");
System.out.println(" - Records at risk: " + getPrecent(risks.getProsecutorRisk().getRecordsAtRisk()));
System.out.println(" - Highest risk: " + getPrecent(risks.getProsecutorRisk().getHighestRisk()));
System.out.println(" - Success rate: " + getPrecent(risks.getProsecutorRisk().getSuccessRate()));
System.out.println(" * Journalist attacker model");
System.out.println(" - Records at risk: " + getPrecent(risks.getJournalistRisk().getRecordsAtRisk()));
System.out.println(" - Highest risk: " + getPrecent(risks.getJournalistRisk().getHighestRisk()));
System.out.println(" - Success rate: " + getPrecent(risks.getJournalistRisk().getSuccessRate()));
System.out.println(" * Marketer attacker model");
System.out.println(" - Success rate: " + getPrecent(risks.getMarketerRisk().getSuccessRate()));
}
示例4: QualityModelColumnOrientedMSE
import org.deidentifier.arx.DataHandle; //导入依赖的package包/类
/**
* Creates a new instance
*
* @param interrupt
* @param progress
* @param totalWorkload
* @param input
* @param output
* @param groupedInput
* @param groupedOutput
* @param hierarchies
* @param shares
* @param indices
* @param config
*/
public QualityModelColumnOrientedMSE(WrappedBoolean interrupt,
WrappedInteger progress,
int totalWorkload,
DataHandle input,
DataHandle output,
Groupify<TupleWrapper> groupedInput,
Groupify<TupleWrapper> groupedOutput,
String[][][] hierarchies,
QualityDomainShare[] shares,
int[] indices,
QualityConfiguration config) {
super(interrupt,
progress,
totalWorkload,
input,
output,
groupedInput,
groupedOutput,
hierarchies,
shares,
indices,
config);
}
示例5: QualityModelRowOrientedSSE
import org.deidentifier.arx.DataHandle; //导入依赖的package包/类
/**
* Creates a new instance
*
* @param interrupt
* @param progress
* @param totalWorkload
* @param input
* @param output
* @param groupedInput
* @param groupedOutput
* @param hierarchies
* @param shares
* @param indices
* @param config
*/
public QualityModelRowOrientedSSE(WrappedBoolean interrupt,
WrappedInteger progress,
int totalWorkload,
DataHandle input,
DataHandle output,
Groupify<TupleWrapper> groupedInput,
Groupify<TupleWrapper> groupedOutput,
String[][][] hierarchies,
QualityDomainShare[] shares,
int[] indices,
QualityConfiguration config) {
super(interrupt,
progress,
totalWorkload,
input,
output,
groupedInput,
groupedOutput,
hierarchies,
shares,
indices,
config);
}
示例6: QualityModelRowOrientedDiscernibility
import org.deidentifier.arx.DataHandle; //导入依赖的package包/类
/**
* Creates a new instance
*
* @param interrupt
* @param progress
* @param totalWorkload
* @param input
* @param output
* @param groupedInput
* @param groupedOutput
* @param hierarchies
* @param shares
* @param indices
* @param config
*/
public QualityModelRowOrientedDiscernibility(WrappedBoolean interrupt,
WrappedInteger progress,
int totalWorkload,
DataHandle input,
DataHandle output,
Groupify<TupleWrapper> groupedInput,
Groupify<TupleWrapper> groupedOutput,
String[][][] hierarchies,
QualityDomainShare[] shares,
int[] indices,
QualityConfiguration config) {
super(interrupt,
progress,
totalWorkload,
input,
output,
groupedInput,
groupedOutput,
hierarchies,
shares,
indices,
config);
}
示例7: QualityModelRowOrientedAmbiguity
import org.deidentifier.arx.DataHandle; //导入依赖的package包/类
/**
* Creates a new instance
*
* @param interrupt
* @param progress
* @param totalWorkload
* @param input
* @param output
* @param groupedInput
* @param groupedOutput
* @param hierarchies
* @param shares
* @param indices
* @param config
*/
public QualityModelRowOrientedAmbiguity(WrappedBoolean interrupt,
WrappedInteger progress,
int totalWorkload,
DataHandle input,
DataHandle output,
Groupify<TupleWrapper> groupedInput,
Groupify<TupleWrapper> groupedOutput,
String[][][] hierarchies,
QualityDomainShare[] shares,
int[] indices,
QualityConfiguration config) {
super(interrupt,
progress,
totalWorkload,
input,
output,
groupedInput,
groupedOutput,
hierarchies,
shares,
indices,
config);
}
示例8: QualityModelColumnOrientedPrecision
import org.deidentifier.arx.DataHandle; //导入依赖的package包/类
/**
* Creates a new instance
*
* @param interrupt
* @param progress
* @param totalWorkload
* @param input
* @param output
* @param groupedInput
* @param groupedOutput
* @param hierarchies
* @param shares
* @param indices
* @param config
*/
public QualityModelColumnOrientedPrecision(WrappedBoolean interrupt,
WrappedInteger progress,
int totalWorkload,
DataHandle input,
DataHandle output,
Groupify<TupleWrapper> groupedInput,
Groupify<TupleWrapper> groupedOutput,
String[][][] hierarchies,
QualityDomainShare[] shares,
int[] indices,
QualityConfiguration config) {
super(interrupt,
progress,
totalWorkload,
input,
output,
groupedInput,
groupedOutput,
hierarchies,
shares,
indices,
config);
}
示例9: QualityModelColumnOrientedNonUniformEntropy
import org.deidentifier.arx.DataHandle; //导入依赖的package包/类
/**
* Creates a new instance
*
* @param interrupt
* @param progress
* @param totalWorkload
* @param input
* @param output
* @param groupedInput
* @param groupedOutput
* @param hierarchies
* @param shares
* @param indices
* @param config
*/
public QualityModelColumnOrientedNonUniformEntropy(WrappedBoolean interrupt,
WrappedInteger progress,
int totalWorkload,
DataHandle input,
DataHandle output,
Groupify<TupleWrapper> groupedInput,
Groupify<TupleWrapper> groupedOutput,
String[][][] hierarchies,
QualityDomainShare[] shares,
int[] indices,
QualityConfiguration config) {
super(interrupt,
progress,
totalWorkload,
input,
output,
groupedInput,
groupedOutput,
hierarchies,
shares,
indices,
config);
}
示例10: getInputFrequencies
import org.deidentifier.arx.DataHandle; //导入依赖的package包/类
/**
* Returns the frequencies of values in input data for all rows with transformation level >= level
* @param transformations
* @param column
* @param level
* @return
*/
private Map<String, Double> getInputFrequencies( int[] transformations, int column, int level) {
DataHandle input = getInput();
Map<String, Double> result = new HashMap<String, Double>();
for (int row = 0; row < input.getNumRows(); row++) {
if (transformations[row] >= level) {
String value = input.getValue(row, column);
Double count = result.get(value);
result.put(value, count != null ? count + 1d : 1d);
}
// Check
checkInterrupt();
}
return result;
}
示例11: getOutputFrequencies
import org.deidentifier.arx.DataHandle; //导入依赖的package包/类
/**
* Returns the frequencies of values in input data on the target level in output for all rows with transformation level >= level
* @param transformations
* @param generalizationFunctions
* @param column
* @param level
* @param target
* @return
*/
private Map<String, Double> getOutputFrequencies(int[] transformations,
Map<String, String>[] generalizationFunctions,
int column,
int level,
int target) {
Map<String, Double> result = new HashMap<String, Double>();
DataHandle input = getInput();
for (int row = 0; row < input.getNumRows(); row++) {
if (transformations[row] >= level) {
String value = generalizationFunctions[target].get(input.getValue(row, column));
Double count = result.get(value);
result.put(value, count != null ? count + 1d : 1d);
}
// Check
checkInterrupt();
}
return result;
}
示例12: QualityModelRowOrientedAECS
import org.deidentifier.arx.DataHandle; //导入依赖的package包/类
/**
* Creates a new instance
*
* @param interrupt
* @param progress
* @param totalWorkload
* @param input
* @param output
* @param groupedInput
* @param groupedOutput
* @param hierarchies
* @param shares
* @param indices
* @param config
*/
public QualityModelRowOrientedAECS(WrappedBoolean interrupt,
WrappedInteger progress,
int totalWorkload,
DataHandle input,
DataHandle output,
Groupify<TupleWrapper> groupedInput,
Groupify<TupleWrapper> groupedOutput,
String[][][] hierarchies,
QualityDomainShare[] shares,
int[] indices,
QualityConfiguration config) {
super(interrupt,
progress,
totalWorkload,
input,
output,
groupedInput,
groupedOutput,
hierarchies,
shares,
indices,
config);
}
示例13: QualityMeasureColumnOriented
import org.deidentifier.arx.DataHandle; //导入依赖的package包/类
/**
* Creates a new instance
* @param handle
* @param indices
* @param minimum
* @param result
* @param maximum
*/
public QualityMeasureColumnOriented(DataHandle handle,
int[] indices,
double[] minimum,
double[] result,
double[] maximum) {
// Prepare
this.result = new HashMap<>();
this.minimum = new HashMap<>();
this.maximum = new HashMap<>();
// Convert
for (int i = 0; i < indices.length; i++) {
int column = indices[i];
if (!Double.isNaN(result[i])) {
String attribute = handle.getAttributeName(column);
this.minimum.put(attribute, minimum[i]);
this.result.put(attribute, result[i]);
this.maximum.put(attribute, maximum[i]);
}
}
}
示例14: QualityModelRowOrientedKLDivergence
import org.deidentifier.arx.DataHandle; //导入依赖的package包/类
/**
* Creates a new instance
*
* @param interrupt
* @param progress
* @param totalWorkload
* @param input
* @param output
* @param groupedInput
* @param groupedOutput
* @param hierarchies
* @param shares
* @param indices
* @param config
*/
public QualityModelRowOrientedKLDivergence(WrappedBoolean interrupt,
WrappedInteger progress,
int totalWorkload,
DataHandle input,
DataHandle output,
Groupify<TupleWrapper> groupedInput,
Groupify<TupleWrapper> groupedOutput,
String[][][] hierarchies,
QualityDomainShare[] shares,
int[] indices,
QualityConfiguration config) {
super(interrupt,
progress,
totalWorkload,
input,
output,
groupedInput,
groupedOutput,
hierarchies,
shares,
indices,
config);
}
示例15: getArea
import org.deidentifier.arx.DataHandle; //导入依赖的package包/类
/**
* Returns the area
* @param handle
* @param row
* @param indices
* @param shares
* @return
*/
private double getArea(DataHandle handle,
int row,
int[] indices,
QualityDomainShare[] shares) {
double area = 1d;
for (int i = 0; i < indices.length; i++) {
int column = indices[i];
double loss = 1d;
if (!isSuppressed(handle, row, column)) {
loss = shares[i].getShare(handle.getValue(row, column), 0);
}
area *= loss * shares[i].getDomainSize();
}
return area;
}