Changes needed for project building and visualizing

app.py

@@ -0,0 +1,61 @@
+import plotly.graph_objects as go
+import pandas as pd
+
+# Corrected data with equal lengths for all arrays
+data = {
+    'Dataset': ['BM1', 'BM2', 'BM3', 'BM4', 'BM5', 'BM6', 'BM7', 'BM8',
+                'GC1', 'GC2', 'GC3', 'GC4', 'GC5',
+                'AC1', 'AC2', 'AC3', 'AC4', 'AC5', 'AC6', 'AC7', 'AC8', 'AC9', 'AC10', 'AC11', 'AC12'],
+    'Model': ['Kaggle', 'Kaggle', 'Kaggle', 'Kaggle', 'Kaggle', 'Kaggle', 'Kaggle', '[8]',
+              'Kaggle', '[1, 24]', 'Kaggle', 'Kaggle', '[8]',
+              'Kaggle', 'Kaggle', 'Kaggle', 'Kaggle', 'Kaggle', 'Kaggle', 'Kaggle', '[8]', '[27, 28]', '[27, 28]', '[27, 28]', '[27, 28]', '[27, 28]'],
+    'Source': ['', '', '[1, 24]', '', '', '', '', '',
+               '', '[1, 24]', '', '', '',
+               '', '[1, 24]', '', '', '', '', '', '', '', '', '', ''],
+    'Layers': [4, 4, 3, 5, 4, 4, 4, 7,
+               3, 3, 3, 4, 4,
+               4, 3, 3, 4, 4, 4, 7, 4, 6, 6, 6, 11],
+    'Neurons': [97, 65, 117, 318, 49, 35, 145, 141,
+                64, 114, 23, 24, 138,
+                45, 121, 71, 221, 149, 45, 145, 10, 12, 20, 40, 45],
+    'Accuracy': [89.20, 88.76, 88.22, 89.55, 88.90, 88.94, 88.70, 89.20,
+                 72.67, 74.67, 75.33, 70.67, 69.33,
+                 85.24, 84.70, 84.52, 84.86, 85.19, 84.77, 84.85, 82.15, 81.22, 78.56, 79.25, 81.46]
+}
+
+df = pd.DataFrame(data)
+
+# Create the figure
+fig = go.Figure()
+
+# Add bar trace for accuracy
+fig.add_trace(go.Bar(
+    x=df['Dataset'],
+    y=df['Accuracy'],
+    name='Accuracy',
+    marker_color='blue',
+    text=df['Accuracy'],
+    textposition='outside'
+))
+
+# Add scatter trace for neurons and layers
+fig.add_trace(go.Scatter(
+    x=df['Dataset'],
+    y=df['Neurons'],
+    mode='markers',
+    name='Neurons',
+    marker=dict(color='green', symbol='circle'),
+    text=df.apply(lambda row: f'Neurons: {row["Neurons"]}, Layers: {row["Layers"]}', axis=1),
+    hoverinfo='text'
+))
+
+# Customize layout
+fig.update_layout(
+    title='Neurons, Layers, and Accuracy Visualization',
+    xaxis=dict(title='Dataset'),
+    yaxis=dict(title='Value'),
+    barmode='group'
+)
+
+# Show the figure
+fig.show()

requirements.txt

@@ -1,3 +1,3 @@
 z3-solver
 tensorflow==2.5.0
-aif360
+aif360

src/AC/Verify-AC.py

@@ -19,7 +19,7 @@
 
 # In[]
 model_dir = '../../models/adult/'
-result_dir = './libra/sex-'
+result_dir = './res-'
 PARTITION_THRESHOLD = 10
 
 SOFT_TIMEOUT = 100 
@@ -303,7 +303,7 @@
 
         import csv
         file_exists = os.path.isfile(file)
-        with open(file, "a", newline='') as fp:
+        with open(file, "w", newline='') as fp:
             if not file_exists:
                 wr = csv.writer(fp, dialect='excel')
                 wr.writerow(res_cols)

stress/AC/Verify-AC.py

@@ -18,7 +18,7 @@
 #print_metadata(df)
 
 # In[]
-model_dir = './AC-Model/'
+model_dir = './../models/adult'
 result_dir = './res/sex-'
 PARTITION_THRESHOLD = 6
 

stress/BM/Verify-BM.py

@@ -18,7 +18,7 @@
 #print_metadata(df)
 
 # In[]
-model_dir = './../BM-Model/'
+model_dir = './../models/bank'
 result_dir = './age-'
 PARTITION_THRESHOLD = 10
 

targeted2/AC/Verify-AC.py

@@ -68,7 +68,7 @@
     if model_name == '':
         continue
 
-    model_funcs = 'utils.' + model_name + '-Model-Functions'
+    model_funcs = 'utils.' + 'Model-Functions'
     mod = import_module(model_funcs)
     layer_net = getattr(mod, 'layer_net')
     net = getattr(mod, 'net')

targeted2/BM/Verify-BM.py

@@ -71,7 +71,7 @@
     if model_name == '':
         continue
 
-    model_funcs = 'utils.' + model_name + '-Model-Functions'
+    model_funcs = 'utils.' + 'Model-Functions'
     mod = import_module(model_funcs)
     layer_net = getattr(mod, 'layer_net')
     net = getattr(mod, 'net')

targeted2/GC/Verify-GC.py

@@ -73,7 +73,7 @@
     print('==================  STARTING MODEL ' + model_file)
     model_name = model_file.split('.')[0]
 
-    model_funcs = 'utils.' + model_name + '-Model-Functions'
+    model_funcs = 'utils.' + 'Model-Functions'
     mod = import_module(model_funcs)
     layer_net = getattr(mod, 'layer_net')
     net = getattr(mod, 'net')