little changes regarding comments

Author: zuliani99

app/utils/result_class.py

@@ -121,6 +121,8 @@ def populate_row(df_name, leader, res_as, res_t, res_h, res_mj, res_ag, s):
 
     return new_row_1, new_row_2, new_row_pipelines, new_row_options_end
 
+
+# Function for adding the 'date' column in each dataframe
 def add_date(dfs, date):
     for df in dfs:
         df.insert(0, 'date', date)

app/webapp/frontend.py

@@ -20,7 +20,7 @@
 # Definition of the sidebar
 sidebar = html.Div(
         [
-            html.H2("AutoML BenchMark", className="display-4"),
+            html.H2("AutoML Benchmark", className="display-4"),
             html.Hr(),
             html.P(
                 "Choose an Options", className="lead"
@@ -29,10 +29,10 @@
                 [
                     dbc.NavLink("Home", href="/", active="exact"),
                     dbc.NavLink("OpenML Benchmark", href="/openml", active="exact"),
-                    dbc.NavLink("Kaggle BenchMark", href="/kaggle", active="exact"),
-                    dbc.NavLink("Test BenchMark", href="/test", active="exact"),
-                    dbc.NavLink("Past Results OpenML", href="/results-openml", active="exact"),
-                    dbc.NavLink("Past Results Kaggle", href="/results-kaggle", active="exact"),
+                    dbc.NavLink("Kaggle Benchmark", href="/kaggle", active="exact"),
+                    dbc.NavLink("Test Benchmark", href="/test", active="exact"),
+                    dbc.NavLink("Past OpenML Benchmark", href="/results-openml", active="exact"),
+                    dbc.NavLink("Past Kaggle Benchmark", href="/results-kaggle", active="exact"),
                 ],
                 vertical=True,
                 pills=True,

app/webapp/utils.py

@@ -108,7 +108,7 @@ def get_dfs_from_timestamp(timestamp, type_bench): # Return a list of lists of d
         df.append(pd.read_csv('./results/'+ type_bench +'/'+ts+'/options_start.csv'))
         dfs.append(df)
 
-    return dfs # da 0 a 8
+    return dfs
 
 
 # Function for managing the display of tables and graphs of the benchmarks
@@ -166,11 +166,13 @@ def get_dfs_to_compare(dfs_class, dfs_reg, options_start, type, all_list):
         else: reg = [None]
         time_limit = (pd.read_csv('./results/'+ type +'/'+past_bench+'/options_start.csv')).iloc[0].to_list()
 
-        # Check if the benchmark is comparable to the one selected initially
+        
         #if collections.Counter(cls) == collections.Counter(dfs_class) and collections.Counter(reg) == collections.Counter(dfs_reg) and collections.Counter(pip) != collections.Counter(options_end):
 
         # Ora ho messo che posso comparare dei benchmark aventi gli stessi dataframe ma con start time limit diiferenti, conmfronti effettuati tutti sul primo benchmark scelto
         # Devo decidere se implementare il confronto tra tutti quelli selezionati
+        
+        # Check if the benchmark is comparable to the one selected initially
         if collections.Counter(cls) == collections.Counter(dfs_class) and collections.Counter(reg) == collections.Counter(dfs_reg) and collections.Counter(time_limit) != collections.Counter(options_start):
             dfs_comapre.append({'label': past_bench, 'value': past_bench})
     return dfs_comapre

makefile

@@ -1,7 +1,6 @@
 install:
 	pip3 install -Ur requirements.txt
 	pip3 install -q -U git+https://github.com/mljar/mljar-supervised.git@master
-	pip3 uninstall bokeh -y
 
 remove:
 	pip3 uninstall -r requirements.txt