experiment

functions/calc_matches.py

@@ -21,7 +21,7 @@ def calc_matches(filtered_df, project_df, similarity_matrix, top_x):
     flat_matrix = dense_match_matrix.flatten()
     
     # Get the indices of the top 15 values in the flattened matrix
-    top_15_indices = np.argsort(flat_matrix)[:top_x][::-1]
+    top_15_indices = np.argsort(flat_matrix)[-top_x:]
 
     # Convert flat indices back to 2D indices
     top_15_2d_indices = np.unravel_index(top_15_indices, dense_match_matrix.shape)
@@ -41,7 +41,7 @@ def calc_matches(filtered_df, project_df, similarity_matrix, top_x):
         top_15_matches.append((value, original_row_index, original_col_index))
     
     st.write(top_15_matches)
-
+    
 
     p1_df = filtered_df.loc[org_cols].copy()
     p1_df['similarity'] = top_15_values