Simplify to_vertical

app.py

@@ -65,8 +65,8 @@ def load_result(model_id):
 
 
 def to_vertical(df):
-    # df = df.iloc[0].rename_axis("Parameters").rename(model_name).to_frame()  # .reset_index()
-    df = df.iloc[0].rename_axis("Parameters").to_frame()  # .reset_index()
+    # df = df.iloc[0].rename_axis("Parameters").to_frame()  # .reset_index()
+    df = df.T.rename_axis("Parameters")
     df.index = df.index.str.join(".")
     return df
 
@@ -78,25 +78,6 @@ def to_dataframe(data):
     df.index = [data.get("model_name", "Model")]
     return df
 
-#
-# def to_dataframe_results(data):
-#     dfs = {}
-#     for key in data["results"]:
-#         if key not in EXCLUDED_RESULTS_KEYS:  # key.startswith("leaderboard_"):
-#             name = key[len("leaderboard_"):]
-#             df = to_dataframe(
-#                 {
-#                     key: value
-#                     for key, value in data["results"][key].items()
-#                     if key not in EXCLUDED_RESULTS_LEADERBOARDS_KEYS
-#                 }
-#             )
-#             # df.drop(columns=["alias"])
-#             # df.columns = pd.MultiIndex.from_product([[name], df.columns])
-#             df.columns = [f"{name}.{column}" for column in df.columns]
-#             dfs[name] = df
-#     return pd.concat(dfs.values(), axis="columns")
-
 
 def filter_results(df):
     df = df.loc[:, df.columns.str[0] == "results"]