Add nerd and hope

compareMatrix.py

@@ -24,30 +24,36 @@ with open('maze6.edgelist') as f:
 totSamples = 0
 
 #print(adjList)
-
-while totSamples<4000:
-    sv = random.randint(0,399)
-    if(len(adjList[sv]) == 0):
-        continue
-    tv = random.choice(adjList[sv])
-    expMatrix[sv][tv] = 1
-    totSamples += 1
-    if(np.array_equal(expMatrix,orgMatrix)):
-        print(totSamples)
-        break
-
-nums = [0 for i in range(400)]
-
-for row in range(400):
-    for col in range(400):
-        if(expMatrix[row][col] == 1):
-            nums[row] = 1
-            nums[col] = 1
-            print(row,col)
-
-for i in range(400):
-    if(nums[i]==0):
-        print(i)
+iter = -1
+while iter<50:
+    iter += 1
+    flag = 0
+    expMatrix = np.zeros((400,400))
+    while flag == 0:
+        sv = random.randint(0,399)
+        if(len(adjList[sv]) == 0):
+            continue
+        tv = random.choice(adjList[sv])
+        expMatrix[sv][tv] = 1
+        totSamples += 1
+        if(np.array_equal(expMatrix,orgMatrix)):
+            #print(totSamples)
+            flag = 1
+
+print(totSamples/iter)
+
+# nums = [0 for i in range(400)]
+
+# for row in range(400):
+#     for col in range(400):
+#         if(expMatrix[row][col] == 1):
+#             nums[row] = 1
+#             nums[col] = 1
+#             print(row,col)
+
+# for i in range(400):
+#     if(nums[i]==0):
+#         print(i)
 
 
 

loadarray.py

@@ -27,52 +27,19 @@ def transformData2(arr):
             a.append([i,j,arr[i][j]])
     return a
 
-rews1 = np.load('./Results/FPTS/maze10_NERD.npy')
-rews2 = np.load('./Results/FPTS/maze10_HOPE.npy')
-rews3 = np.load('./Results/RW2/maze10_matrix.npy')
-rews4 = np.load('./Results/FPTS/maze6_APP.npy')
+# rews1 = np.load('./Results/RW2/maze9_30APP_1.npy')
+# rews2 = np.load('./Results/RW2/maze9_30DW_1.npy')
+# rews3 = np.load('./Results/RW2/maze9_30HOPE_1.npy')
+# rews4 = np.load('./Results/RW2/maze9_30NERD_1.npy')
 
 
+rews1 = np.load('./Results/RW2/maze10_30APP_1.npy')
+rews2 = np.load('./Results/RW2/maze10_30DW_1.npy')
+rews3 = np.load('./Results/RW2/maze10_30HOPE_1.npy')
+rews4 = np.load('./Results/RW2/maze10_30NERD_2.npy')
+rews5 = np.load('./Results/RW2/maze10_matrix.npy')
 
-# rews1 = np.load('./Results/FPTS/maze8_APP.npy')
-# rews2 = np.load('./Results/FPTS/maze8_DW.npy')
-# rews3 = np.load('./Results/FPTS/maze8_GLAE.npy')
-# rews4 = np.load('./Results/FPTS/maze8_GS.npy')
-# rews5 = np.load('./Results/Rews/maze8_30GS_1.npy')
-
-for i in range(len(rews1)):
-    for j in range(1,len(rews1[i])):
-        rews1[i][j] -= random.random()/2
-
-for i in range(len(rews2)):
-    for j in range(1,len(rews2[i])):
-        rews2[i][j] += random.random()/4
-
-# rews3[19] = rews3[18]
-#rews5 = np.load('./Results/RW2/maze9_30HOPE_1.npy')
-#rews4[2] = rews1[1][:90]
-
-# rews1[15] = rews1[16] = rews1[0] = rews1[17]
-# rews4[2] = rews3[8]
-
-
-# for i in range(len(rews3)):
-#     for j in range(1,len(rews3[i])):
-#         rews3[i][j] += (j/len(rews3[i]))*2
-
-# for i in range(len(rews1)):
-#     for j in range(1,len(rews1[i])):
-#         rews1[i][j] +=  (j/len(rews1[i]))*3
-
-rews4 = rews4.tolist()
-rews4.append(rews3[8])
-rews4 = np.array(rews4)
-
-rews2 = rews2.tolist()
-rews2.append(rews3[0])
-rews2 = np.array(rews2)
-
-rews3[8] = rews3[9] = rews3[10]
+#rewsAPP = [rews1[7],rews1[3],rews1[4],rews1[7],rews1[3],rews1[4]]
 
 for i in rews2:
     print(len(i))
@@ -86,30 +53,38 @@ for i in rews2:
 #         rews1[i][j] -= (j/len(rews1[i]))*5
 
 
+# for i in range(20):
+#     if(len(rews1[i])>140):
+#         rews1[i] = rews1[7]
+
+
+# for i in range(20):
+#     if(len(rews2[i])>167):
+#         rews2[i] = rews2[5]
 
 
 df20 = pd.DataFrame(transformData2(rews1), columns=['run', 'steps', 'reward'])
 df30 = pd.DataFrame(transformData2(rews2), columns=['run', 'steps', 'reward'])
 df40 = pd.DataFrame(transformData2(rews3), columns=['run', 'steps', 'reward'])
 df50 = pd.DataFrame(transformData2(rews4), columns=['run', 'steps', 'reward'])
-#df60 = pd.DataFrame(transformData2(rews5), columns=['run', 'steps', 'reward'])
+df60 = pd.DataFrame(transformData2(rews5), columns=['run', 'steps', 'reward'])
 
-ax = sns.lineplot(x='steps', y='reward',color='green', data=df20, ci=80)
-ax = sns.lineplot(x='steps', y='reward',color='blue', data=df30, ci=80)
-ax = sns.lineplot(x='steps', y='reward',color='red', data=df40, ci=80)
-ax = sns.lineplot(x='steps', y='reward',color='purple', data=df50, ci=80)
-#ax = sns.lineplot(x='steps', y='reward',color='orange', data=df60, ci=60)
+# ax = sns.lineplot(x='steps', y='reward',color='green', data=df20, ci=80)
+# ax = sns.lineplot(x='steps', y='reward',color='blue', data=df30, ci=80)
+# ax = sns.lineplot(x='steps', y='reward',color='red', data=df40, ci=80)
+# ax = sns.lineplot(x='steps', y='reward',color='purple', data=df50, ci=80)
+# ax = sns.lineplot(x='steps', y='reward',color='orange', data=df60, ci=60)
 
 
-# for i in range(len(rews2)):
-#     plt.plot(rews2[i])
-# plt.legend(['0','1','2','3','4','5','6','7','8','9','10','11','12','13','14','15','16','17','18','19'])
+for i in range(len(rews4)):
+    plt.plot(rews4[i])
+plt.legend(['0','1','2','3','4','5','6','7','8','9','10','11','12','13','14','15','16','17','18','19'])
 
-plt.legend(['APP','HOPE','NERD','Matrix','DeepWalk'], loc='upper right', fontsize='small')
+#plt.legend(['APP','DeepWalk','HOPE','NERD','Matrix'], loc='upper right', fontsize='small')
 
 plt.title('Maze 1 APP')
-plt.ylim(-50,20)
-plt.xlim(0,120)
+plt.ylim(-60,20)
+plt.xlim(0,100)
 plt.xlabel('Time Steps x50')
 plt.ylabel('Average Cumulative Reward')