LPCT

Reproducible code for Optimal Locally Private Nonparametric Classification with Public Data. To run the code, install the last version of numpy, pandas, scikit-learn, itertools, numba. Then execute execute.sh.

Name		Name	Last commit message	Last commit date
LDPCP		LDPCP
comparison		comparison
data		data
distribution		distribution
results		results
tests		tests
.DS_Store		.DS_Store
README.md		README.md
execute.sh		execute.sh
plot.ipynb		plot.ipynb
realdata.py		realdata.py
simulation_depth.py		simulation_depth.py
simulation_epsilon_acc.py		simulation_epsilon_acc.py
simulation_gamma.py		simulation_gamma.py
simulation_lamda.py		simulation_lamda.py
simulation_local_gamma.py		simulation_local_gamma.py
simulation_np_acc.py		simulation_np_acc.py
simulation_npnq.py		simulation_npnq.py
simulation_nq_acc.py		simulation_nq_acc.py
simulation_partition.py		simulation_partition.py
simulation_prune.py		simulation_prune.py
simulation_range_parameter.py		simulation_range_parameter.py
summarize.ipynb		summarize.ipynb

Navigation Menu

Repository files navigation

LPCT

About

Releases

Packages

Contributors

Languages

Latest commit

History

Folders and files

Repository files navigation

LPCT

About

Resources

Stars

Watchers

Forks

Releases

Packages

Contributors

Languages