evaluation: Re-executed some experiments

code/expt/copenhagen-sel.py

@@ -68,29 +68,30 @@ def main(args):
 
     for _ in range(args.iter):
 
-      lmdks, eps_out = lmdk_sel.find_lmdks(seq, lmdks, epsilon)
+      lmdks_sel, eps_out = lmdk_sel.find_lmdks(seq, lmdks, epsilon)
 
       # Skip
-      rls_data_s, bgts_s = lmdk_bgt.skip_cont(seq, lmdks, eps_out)
+      rls_data_s, bgts_s = lmdk_bgt.skip_cont(seq, lmdks_sel, eps_out)
       # lmdk_bgt.validate_bgts(seq, lmdks, epsilon, bgts_s)
       mae_s[i] += (lmdk_bgt.mae_cont(rls_data_s)/args.iter)*100
 
       # Uniform
-      rls_data_u, bgts_u = lmdk_bgt.uniform_cont(seq, lmdks, eps_out)
+      rls_data_u, bgts_u = lmdk_bgt.uniform_cont(seq, lmdks_sel, eps_out)
       # lmdk_bgt.validate_bgts(seq, lmdks, epsilon, bgts_u)
       mae_u[i] += (lmdk_bgt.mae_cont(rls_data_u)/args.iter)*100
 
       # Adaptive
-      rls_data_a, _, _ = lmdk_bgt.adaptive_cont(seq, lmdks, eps_out, .5, .5)
+      rls_data_a, _, _ = lmdk_bgt.adaptive_cont(seq, lmdks_sel, eps_out, .5, .5)
       mae_a[i] += (lmdk_bgt.mae_cont(rls_data_a)/args.iter)*100
 
       # Calculate once
-      if i == 0:
+      if pct == lmdks_pct[0]:
         # Event
-        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_cont(seq, lmdks, epsilon)
         mae_evt += (lmdk_bgt.mae_cont(rls_data_evt)/args.iter)*100
+      elif pct == lmdks_pct[-1]:
         # User
-        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_cont(seq, lmdks, epsilon)
         mae_usr += (lmdk_bgt.mae_cont(rls_data_usr)/args.iter)*100
 
   plt.axhline(

code/expt/copenhagen.py

@@ -80,12 +80,13 @@ def main(args):
       mae_a[i] += (lmdk_bgt.mae_cont(rls_data_a)/args.iter)*100
 
       # Calculate once
-      if i == 0:
+      if pct == lmdks_pct[0]:
         # Event
-        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_cont(seq, lmdks, epsilon)
         mae_evt += (lmdk_bgt.mae_cont(rls_data_evt)/args.iter)*100
+      elif pct == lmdks_pct[-1]:
         # User
-        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_cont(seq, lmdks, epsilon)
         mae_usr += (lmdk_bgt.mae_cont(rls_data_usr)/args.iter)*100
 
   plt.axhline(

code/expt/hue-sel.py

@@ -48,7 +48,7 @@ def main(args):
   # The y axis
   plt.ylabel('Mean absolute error (kWh)')  # Set y axis label.
   plt.yscale('log')
-  plt.ylim(.1, 10000)
+  plt.ylim(.1, 100000)
   # Bar offset
   x_offset = -(bar_width/2)*(n - 1)
 
@@ -80,13 +80,13 @@ def main(args):
       mae_a[i] += lmdk_bgt.mae_cons(seq, rls_data_a)/args.iter
 
       # Calculate once
+      if pct == lmdks_pct[0]:
         # Event
-      if i == 0:
-        rls_data_evt, _ = lmdk_bgt.uniform_cons(seq, seq[seq[:, 1] < lmdks_th[0]], epsilon)
+        rls_data_evt, _ = lmdk_bgt.uniform_cons(seq, lmdks, epsilon)
         mae_evt += lmdk_bgt.mae_cons(seq, rls_data_evt)/args.iter
+      elif pct == lmdks_pct[-1]:
         # User
-      if i == 0:
-        rls_data_usr, _ = lmdk_bgt.uniform_cons(seq, seq[seq[:, 1] < lmdks_th[len(lmdks_th)-1]], epsilon)
+        rls_data_usr, _ = lmdk_bgt.uniform_cons(seq, lmdks, epsilon)
         mae_usr += lmdk_bgt.mae_cons(seq, rls_data_usr)/args.iter
 
   plt.axhline(

code/expt/hue.py

@@ -46,7 +46,7 @@ def main(args):
   # The y axis
   plt.ylabel('Mean absolute error (kWh)')  # Set y axis label.
   plt.yscale('log')
-  plt.ylim(.1, 10000)
+  plt.ylim(.1, 100000)
   # Bar offset
   x_offset = -(bar_width/2)*(n - 1)
 
@@ -75,13 +75,13 @@ def main(args):
       mae_a[i] += lmdk_bgt.mae_cons(seq, rls_data_a)/args.iter
 
       # Calculate once
+      if pct == lmdks_pct[0]:
         # Event
-      if i == 0:
-        rls_data_evt, _ = lmdk_bgt.uniform_cons(seq, seq[seq[:, 1] < lmdks_th[0]], epsilon)
+        rls_data_evt, _ = lmdk_bgt.uniform_cons(seq, lmdks, epsilon)
         mae_evt += lmdk_bgt.mae_cons(seq, rls_data_evt)/args.iter
+      elif pct == lmdks_pct[-1]:
         # User
-      if i == 0:
-        rls_data_usr, _ = lmdk_bgt.uniform_cons(seq, seq[seq[:, 1] < lmdks_th[len(lmdks_th)-1]], epsilon)
+        rls_data_usr, _ = lmdk_bgt.uniform_cons(seq, lmdks, epsilon)
         mae_usr += lmdk_bgt.mae_cons(seq, rls_data_usr)/args.iter
 
   plt.axhline(

code/expt/t-drive-sel.py

@@ -70,7 +70,7 @@ def main(args):
     # The y axis
     plt.ylabel('Mean absolute error (m)')  # Set y axis label.
     plt.yscale('log')
-    # plt.ylim(1, 100000000)
+    plt.ylim(1, 1000000)
     # Bar offset
     x_offset = -(bar_width/2)*(n - 1)
 
@@ -101,12 +101,13 @@ def main(args):
           rls_data_a, _, _ = lmdk_bgt.adaptive(seq, lmdks, eps_out, .5, .5)
           mae_a[i] += lmdk_bgt.mae(seq, rls_data_a)/args.iter
 
+          # Calculate once
+          if lmdk == min(data_info[d]['lmdks']):
             # Event
-          if lmdk == 0:
             rls_data_evt, _ = lmdk_bgt.uniform_r(seq, lmdks, bgt['epsilon'])
             mae_evt += lmdk_bgt.mae(seq, rls_data_evt)/args.iter
+          elif lmdk == max(data_info[d]['lmdks']):
             # User
-          if lmdk == 100:
             rls_data_usr, _ = lmdk_bgt.uniform_r(seq, lmdks, bgt['epsilon'])
             mae_usr += lmdk_bgt.mae(seq, rls_data_usr)/args.iter
 

code/expt/t-drive.py

@@ -68,7 +68,7 @@ def main(args):
     # The y axis
     plt.ylabel('Mean absolute error (m)')  # Set y axis label.
     plt.yscale('log')
-    # plt.ylim(1, 100000000)
+    plt.ylim(1, 1000000)
     # Bar offset
     x_offset = -(bar_width/2)*(n - 1)
 
@@ -103,12 +103,13 @@ def main(args):
           # mae_d[i] += lmdk_bgt.mae(seq, rls_data_a)/args.iter
           # s_d += s_d_c/args.iter
 
+          # Calculate once
+          if lmdk == min(data_info[d]['lmdks']):
             # Event
-          if lmdk == 0:
             rls_data_evt, _ = lmdk_bgt.uniform_r(seq, lmdks, bgt['epsilon'])
             mae_evt += lmdk_bgt.mae(seq, rls_data_evt)/args.iter
+          elif lmdk == max(data_info[d]['lmdks']):
             # User
-          if lmdk == 100:
             rls_data_usr, _ = lmdk_bgt.uniform_r(seq, lmdks, bgt['epsilon'])
             mae_usr += lmdk_bgt.mae(seq, rls_data_usr)/args.iter
 

code/lib/lmdk_bgt.py

@@ -558,10 +558,10 @@ def skip_cont(seq, lmdks, epsilon):
     # Add noise
     o = lmdk_lib.randomized_response(is_landmark, bgts[i])
     if is_landmark:
+      bgts[i] = 0
       if i > 0:
         # Approximate with previous
         o = rls_data[i - 1][1]
-        bgts[i] = 0
     rls_data[i] = [is_landmark, o]
   return rls_data, bgts