v2.4.0 - (epsilon, delta) Differentially Private Partial Least Squares Regression (EDPLS)

Summary

This release introduces a new model class EDPLS for (epsilon, delta) differentially private partial least squares regression.

Added

• New model class EDPLS for (epsilon, delta) differentially private partial least squares regression.
• edpls() function added to the functions module
• calibrateAnalyticGaussianMechanism() function to estimate noise variance added to the utils module
• Tests for the new model class added
• Jupyter notebook examples for the new model class added
• Documentation for the new model class and function added

Changed

N/A

Fixed

N/A

Removed

N/A

Breaking Changes

N/A

Upgrade Notes

None