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rm -rf ./src/results
mkdir -p ./src/results
rm -rf ./src/datasets_directory
mkdir -p ./src/datasets_directory
dataset="protein_dataset" # 'a1a_dataset', 'synthetic_dataset', 'fmnist_dataset'
privacy_budget="3.0" # epsilon in DP
num_iteration_GD="100" # number of iterations for DP-GD
num_iteration_NT="15" # number of iterations for damped newton
num_iteration_our="15" # number of iterations for double noise (proposed method)
$HOME/google-code/dpoptVenv/bin/python3 ./src/run.py --alg_type $'dp_gd' --datasetname $dataset --total $privacy_budget --numiter $num_iteration_GD
$HOME/google-code/dpoptVenv/bin/python3 ./src/run.py --alg_type $'damped_newton' --datasetname $dataset --total $privacy_budget --numiter $num_iteration_NT --grad_frac $"0.7"
$HOME/google-code/dpoptVenv/bin/python3 ./src/run.py --alg_type $'double_noise' --datasetname $dataset --total $privacy_budget --numiter $num_iteration_our --grad_frac $"0.7" --trace_frac $"0.1" --trace_coeff $"0.5"
$HOME/google-code/dpoptVenv/bin/python3 ./src/print_results.py
