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private_antimicrobial_coating_inverse_design

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snajmark commited on Jul 25, 2023

Commit

f950a89

1 Parent(s): a945af8

Update app.py

Files changed (1) hide show

app.py CHANGED Viewed

@@ -375,8 +375,8 @@ def predict_inverse(antimicrobial_activity_target, substrate, microorganism, num
                     domain.append({'name': str(one_hot_column), 'type': 'categorical', 'domain': (1.0, 1.0)})
                 else:
                     domain.append({'name': str(one_hot_column), 'type': 'categorical', 'domain': (0.0, 0.0)})
-        elif df_column == 'Washing_cycles':
-            domain.append({'name': str(df_column), 'type': 'categorical', 'domain': (int(num_washing_cycles), int(num_washing_cycles))})
         elif df_column in numerical_columns:
             domain.append({'name': str(df_column), 'type': 'continuous', 'domain': (0.,1.)})
         else:

                     domain.append({'name': str(one_hot_column), 'type': 'categorical', 'domain': (1.0, 1.0)})
                 else:
                     domain.append({'name': str(one_hot_column), 'type': 'categorical', 'domain': (0.0, 0.0)})
+        #elif df_column == 'Washing_cycles':
+         #   domain.append({'name': str(df_column), 'type': 'categorical', 'domain': (int(num_washing_cycles), int(num_washing_cycles))})
         elif df_column in numerical_columns:
             domain.append({'name': str(df_column), 'type': 'continuous', 'domain': (0.,1.)})
         else: