experiment

functions/calc_matches.py

@@ -45,7 +45,15 @@ def calc_matches(filtered_df, project_df, similarity_matrix, top_x):
 
     # Take the first k indices to get the top k maximum values
     top_indices = sorted_indices[:top_x]
-    st.write(top_indices)
+    top_row_indices = []
+    top_col_indices = []
+
+    for idx in top_indices:
+        row, col = np.unravel_index(idx, match_matrix.shape)
+        top_row_indices.append(row)
+        top_col_indices.append(col)
+
+    st.write(top_col_indices)
     # Convert flat indices to 2D row and column indices
     #row_indices, col_indices = match_matrix.nonzero()
     #row_indices = row_indices[top_indices]