Man pages for DPpack
Differentially Private Statistical Analysis and Machine Learning
| covDataAccess | Differentially Private Covariance Data Access Function |
| covDP | Differentially Private Covariance |
| EmpiricalRiskMinimizationDP.CMS | Privacy-preserving Empirical Risk Minimization for Binary... |
| EmpiricalRiskMinimizationDP.KST | Privacy-preserving Empirical Risk Minimization for Regression |
| ExponentialMechanism | Exponential Mechanism |
| GaussianMechanism | Gaussian Mechanism |
| generate.loss.gr.huber | Generator for Huber Loss Function Gradient |
| generate.loss.huber | Generator for Huber Loss Function |
| generate.sampling | Generator for Sampling Distribution Function for Gaussian... |
| histogramDataAccess | Differentially Private Histogram Data Access Function |
| histogramDP | Differentially Private Histogram |
| LaplaceMechanism | Laplace Mechanism |
| LinearRegressionDP | Privacy-preserving Linear Regression |
| LogisticRegressionDP | Privacy-preserving Logistic Regression |
| loss.cross.entropy | Cross Entropy Loss Function |
| loss.gr.cross.entropy | Cross Entropy Loss Function Gradient |
| loss.gr.squared.error | Squared error Loss Function Gradient |
| loss.squared.error | Squared Error Loss Function |
| mapXy.gr.linear | Linear Map Function Gradient |
| mapXy.gr.sigmoid | Sigmoid Map Function Gradient |
| mapXy.linear | Linear Map Function |
| mapXy.sigmoid | Sigmoid Map Function |
| meanDataAccess | Differentially Private Mean Data Access Function |
| meanDP | Differentially Private Mean |
| medianDP | Differentially Private Median |
| phi.gaussian | Transform Function for Gaussian Kernel Approximation |
| pooledCovDataAccess | Differentially Private Pooled Covariance Data Access Function |
| pooledCovDP | Differentially Private Pooled Covariance |
| pooledVarDataAccess | Differentially Private Pooled Variance Data Access Function |
| pooledVarDP | Differentially Private Pooled Variance |
| quantileDataAccess | Differentially Private Quantile Data Access Function |
| quantileDP | Differentially Private Quantile |
| regularizer.gr.l2 | l2 Regularizer Gradient |
| regularizer.l2 | l2 Regularizer |
| sdDP | Differentially Private Standard Deviation |
| svmDP | Privacy-preserving Support Vector Machine |
| tableDataAccess | Differentially Private Contingency Table Data Access Function |
| tableDP | Differentially Private Contingency Table |
| tune_classification_model | Privacy-preserving Hyperparameter Tuning for Binary... |
| tune_linear_regression_model | Privacy-preserving Hyperparameter Tuning for Linear... |
| varDataAccess | Differentially Private Variance Data Access Function |
| varDP | Differentially Private Variance |
| WeightedERMDP.CMS | Privacy-preserving Weighted Empirical Risk Minimization |
