API for DPpack
Differentially Private Statistical Analysis and Machine Learning

Global functions
EmpiricalRiskMinimizationDP.CMS Man page
EmpiricalRiskMinimizationDP.KST Man page
ExponentialMechanism Man page
GaussianMechanism Man page
LaplaceMechanism Man page
LinearRegressionDP Man page
LogisticRegressionDP Man page
WeightedERMDP.CMS Man page
covDP Man page
covDataAccess Man page
generate.loss.gr.huber Man page Source code
generate.loss.huber Man page Source code
generate.sampling Man page Source code
histogramDP Man page Source code
histogramDataAccess Man page
loss.cross.entropy Man page Source code
loss.gr.cross.entropy Man page Source code
loss.gr.squared.error Man page Source code
loss.squared.error Man page Source code
mapXy.gr.linear Man page Source code
mapXy.gr.sigmoid Man page Source code
mapXy.linear Man page Source code
mapXy.sigmoid Man page Source code
meanDP Man page
meanDataAccess Man page
medianDP Man page
phi.gaussian Man page Source code
pooledCovDP Man page Source code
pooledCovDataAccess Man page Source code
pooledVarDP Man page Source code
pooledVarDataAccess Man page Source code
quantileDP Man page
quantileDataAccess Man page
regularizer Source code
regularizer.gr Source code
regularizer.gr.l2 Man page Source code
regularizer.l2 Man page Source code
sdDP Man page
svmDP Man page
tableDP Man page Source code
tableDataAccess Man page Source code
test_Exponential Source code
test_Gaussian Source code
test_Laplace Source code
test_covDP Source code
test_histogramDP Source code
test_meanDP Source code
test_medianDP Source code
test_pooledCovDP Source code
test_pooledVarDP Source code
test_quantileDP Source code
test_sdDP Source code
test_tableDP Source code
test_varDP Source code
tune_classification_model Man page Source code
tune_linear_regression_model Man page Source code
varDP Man page
varDataAccess Man page
DPpack documentation built on April 8, 2023, 9:09 a.m.