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code: Ready to test with HUE dataset

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Manos Katsomallos 2021-09-29 19:57:19 +02:00
parent 2aeb1149e5
commit 1cd1ab62a3
1 changed files with 15 additions and 17 deletions
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32
code/expt/bgt_cmp_hue.py
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@ -18,14 +18,12 @@ def main(args):
res_file = '/home/manos/Cloud/Data/HUE/Results.zip'
# User's consumption
seq = lmdk_lib.load_data(args, 'cons')
# Contacts for landmark's percentages for all users
lmdk_data = lmdk_lib.load_data(args, 'usrs_expt')
# The name of the dataset
d = 'HUE'
# The landmarks percentages
lmdks_pct = [0, 20, 40, 60, 80, 100]
# Landmarks' thresholds
lmdks_th = [10.0, .3, .23, .15, .13, 0]
lmdks_th = [0, .13, .15, .23, .3, 10]
# The privacy budget
epsilon = 1.0
@ -48,7 +46,7 @@ def main(args):
# The y axis
plt.ylabel('Mean absolute error') # Set y axis label.
# plt.yscale('log')
plt.ylim(0, 1.4)
plt.ylim(1, 7000)
# Bar offset
x_offset = -(bar_width/2)*(n - 1)
@ -60,33 +58,33 @@ def main(args):
for i, pct in enumerate(lmdks_pct):
# Find landmarks
lmdks = lmdk_lib.find_lmdks_cont(lmdk_data, seq, uid, pct)
lmdks = seq[seq[:, 1] < lmdks_th[i]]
for _ in range(args.iter):
# Skip
rls_data_s, bgts_s = lmdk_bgt.skip_cont(seq, lmdks, epsilon)
rls_data_s, bgts_s = lmdk_bgt.skip_cons(seq, lmdks, epsilon)
# lmdk_bgt.validate_bgts(seq, lmdks, epsilon, bgts_s)
mae_s[i] += lmdk_bgt.mae_cont(rls_data_s)/args.iter
mae_s[i] += lmdk_bgt.mae_cons(seq, rls_data_s)/args.iter
# Uniform
rls_data_u, bgts_u = lmdk_bgt.uniform_cont(seq, lmdks, epsilon)
rls_data_u, bgts_u = lmdk_bgt.uniform_cons(seq, lmdks, epsilon)
# lmdk_bgt.validate_bgts(seq, lmdks, epsilon, bgts_u)
mae_u[i] += lmdk_bgt.mae_cont(rls_data_u)/args.iter
mae_u[i] += lmdk_bgt.mae_cons(seq, rls_data_u)/args.iter
# Adaptive
rls_data_a, _, _ = lmdk_bgt.adaptive_cont(seq, lmdks, epsilon, .5, .5)
mae_a[i] += lmdk_bgt.mae_cont(rls_data_a)/args.iter
# # Adaptive
rls_data_a, _, _ = lmdk_bgt.adaptive_cons(seq, lmdks, epsilon, .5, .5)
mae_a[i] += lmdk_bgt.mae_cons(seq, rls_data_a)/args.iter
# Event
# Calculate once
if i == 0:
rls_data_evt, _ = lmdk_bgt.uniform_cont(seq, lmdk_lib.find_lmdks_cont(lmdk_data, seq, uid, 0), epsilon)
mae_evt[i] += lmdk_bgt.mae_cont(rls_data_evt)/args.iter
rls_data_evt, _ = lmdk_bgt.uniform_cons(seq, seq[seq[:, 1] < lmdks_th[0]], epsilon)
mae_evt[i] += lmdk_bgt.mae_cons(seq, rls_data_evt)/args.iter
# User
# Calculate once
if i == 0:
rls_data_usr, _ = lmdk_bgt.uniform_cont(seq, lmdk_lib.find_lmdks_cont(lmdk_data, seq, uid, 100), epsilon)
mae_usr[i] += lmdk_bgt.mae_cont(rls_data_usr)/args.iter
rls_data_usr, _ = lmdk_bgt.uniform_cons(seq, seq[seq[:, 1] < lmdks_th[len(lmdks_th)-1]], epsilon)
mae_usr[i] += lmdk_bgt.mae_cons(seq, rls_data_usr)/args.iter
plt.plot(
x_i,
@ -130,7 +128,7 @@ def main(args):
path = str('../../rslt/bgt_cmp/' + d)
# Plot legend
lmdk_lib.plot_legend()
# # Show plot
# Show plot
# plt.show()
# Save plot
lmdk_lib.save_plot(path + '.pdf')