fix typo

app.py

@@ -151,7 +151,7 @@ def init_leaderboard(ori_dataframe, model_info_df):
         filter_columns=[
             ColumnFilter(ModelInfoColumn.model_type.name, type="checkboxgroup", label="Model types"),
         ],
-        # bool_checkboxgroup_label="Hide models",
+        # bool_checkboxgroup_label="",
         interactive=False,
     )
 

src/utils.py

@@ -46,7 +46,8 @@ def pivot_df(file_name, tab_name):
 def rename_metrics(df):
     df = df.rename(columns={
         'eval_metrics/MAPE[0.5]': 'MAPE',
-        'eval_metrics/mean_weighted_sum_quantile_loss': 'CRPS'
+        'eval_metrics/mean_weighted_sum_quantile_loss': 'CRPS',
+        'rank': 'Rank'
     })
     return df
 
@@ -66,7 +67,8 @@ def pivot_existed_df(df, tab_name):
     df_melted = pd.melt(df, id_vars=[tab_name, 'model'], var_name='metric', value_name='value')
     df_melted['metric'] = df_melted['metric'].replace({
         'eval_metrics/MAPE[0.5]': 'MAPE',
-        'eval_metrics/mean_weighted_sum_quantile_loss': 'CRPS'
+        'eval_metrics/mean_weighted_sum_quantile_loss': 'CRPS',
+        'rank': 'Rank',
     })
     df_pivot = df_melted.pivot_table(index='model', columns=[tab_name, 'metric'], values='value')
     df_pivot.columns = [f'{tab_name} ({metric})' for tab_name, metric in df_pivot.columns]
@@ -144,7 +146,7 @@ def get_grouped_dfs(root_dir='results', ds_properties='results/dataset_propertie
     METRIC_CHOICES = ["eval_metrics/MAPE[0.5]", "eval_metrics/mean_weighted_sum_quantile_loss", "rank"]
 
     grouped_results_overall = df.groupby(['model'])[METRIC_CHOICES].mean()
-
+    # grouped_results_overall = grouped_results_overall.rename(columns={'model':'Model'})
     # grouped_results.to_csv(f'artefacts/grouped_results_by_model.csv')
     grouped_dfs = {}
     for col_name in ["domain", 'term_length', 'frequency', 'univariate']: