manos/the-last-thing
1
0
Fork 0
Code Issues Pull Requests Packages Projects Releases Wiki Activity

code: Ready to test with HUE dataset

Browse Source
This commit is contained in:
Manos Katsomallos 2021-09-29 19:57:19 +02:00
parent 2aeb1149e5
commit 1cd1ab62a3
1 changed files with 15 additions and 17 deletions
Show Stats Download Patch File Download Diff File Expand all files Collapse all files

32
code/expt/bgt_cmp_hue.py
View File

@ -18,14 +18,12 @@ def main(args):
res_file = '/home/manos/Cloud/Data/HUE/Results.zip' res_file = '/home/manos/Cloud/Data/HUE/Results.zip'
# User's consumption # User's consumption
seq = lmdk_lib.load_data(args, 'cons') 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 # The name of the dataset
d = 'HUE' d = 'HUE'
# The landmarks percentages # The landmarks percentages
lmdks_pct = [0, 20, 40, 60, 80, 100] lmdks_pct = [0, 20, 40, 60, 80, 100]
# Landmarks' thresholds # Landmarks' thresholds
lmdks_th = [10.0, .3, .23, .15, .13, 0] lmdks_th = [0, .13, .15, .23, .3, 10]
# The privacy budget # The privacy budget
epsilon = 1.0 epsilon = 1.0
@ -48,7 +46,7 @@ def main(args):
# The y axis # The y axis
plt.ylabel('Mean absolute error') # Set y axis label. plt.ylabel('Mean absolute error') # Set y axis label.
# plt.yscale('log') # plt.yscale('log')
plt.ylim(0, 1.4) plt.ylim(1, 7000)
# Bar offset # Bar offset
x_offset = -(bar_width/2)*(n - 1) x_offset = -(bar_width/2)*(n - 1)
@ -60,33 +58,33 @@ def main(args):
for i, pct in enumerate(lmdks_pct): for i, pct in enumerate(lmdks_pct):
# Find landmarks # 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): for _ in range(args.iter):
# Skip # 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) # 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 # 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) # 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 # # Adaptive
rls_data_a, _, _ = lmdk_bgt.adaptive_cont(seq, lmdks, epsilon, .5, .5) rls_data_a, _, _ = lmdk_bgt.adaptive_cons(seq, lmdks, epsilon, .5, .5)
mae_a[i] += lmdk_bgt.mae_cont(rls_data_a)/args.iter mae_a[i] += lmdk_bgt.mae_cons(seq, rls_data_a)/args.iter
# Event # Event
# Calculate once # Calculate once
if i == 0: if i == 0:
rls_data_evt, _ = lmdk_bgt.uniform_cont(seq, lmdk_lib.find_lmdks_cont(lmdk_data, seq, uid, 0), epsilon) rls_data_evt, _ = lmdk_bgt.uniform_cons(seq, seq[seq[:, 1] < lmdks_th[0]], epsilon)
mae_evt[i] += lmdk_bgt.mae_cont(rls_data_evt)/args.iter mae_evt[i] += lmdk_bgt.mae_cons(seq, rls_data_evt)/args.iter
# User # User
# Calculate once # Calculate once
if i == 0: if i == 0:
rls_data_usr, _ = lmdk_bgt.uniform_cont(seq, lmdk_lib.find_lmdks_cont(lmdk_data, seq, uid, 100), epsilon) rls_data_usr, _ = lmdk_bgt.uniform_cons(seq, seq[seq[:, 1] < lmdks_th[len(lmdks_th)-1]], epsilon)
mae_usr[i] += lmdk_bgt.mae_cont(rls_data_usr)/args.iter mae_usr[i] += lmdk_bgt.mae_cons(seq, rls_data_usr)/args.iter
plt.plot( plt.plot(
x_i, x_i,
@ -130,7 +128,7 @@ def main(args):
path = str('../../rslt/bgt_cmp/' + d) path = str('../../rslt/bgt_cmp/' + d)
# Plot legend # Plot legend
lmdk_lib.plot_legend() lmdk_lib.plot_legend()
# # Show plot # Show plot
# plt.show() # plt.show()
# Save plot # Save plot
lmdk_lib.save_plot(path + '.pdf') lmdk_lib.save_plot(path + '.pdf')