Update app.py
Browse files
app.py
CHANGED
|
@@ -5,7 +5,14 @@ import category_encoders as ce
|
|
| 5 |
|
| 6 |
model = joblib.load('model_tree.joblib')
|
| 7 |
unique_values = joblib.load('unique_values.joblib')
|
| 8 |
-
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 9 |
unique_Sex = unique_values['Sex']
|
| 10 |
unique_BP = unique_values['BP']
|
| 11 |
unique_Cholesterol = unique_values['Cholesterol']
|
|
@@ -27,9 +34,9 @@ def main():
|
|
| 27 |
if clicked:
|
| 28 |
result=model.predict(pd.DataFrame({"Age": [Age],
|
| 29 |
"Na_to_K": [Na_to_K],
|
| 30 |
-
"Sex": [Sex],
|
| 31 |
-
"BP": [BP],
|
| 32 |
-
"Cholesterol": [Cholesterol]
|
| 33 |
}))
|
| 34 |
# Show prediction
|
| 35 |
result = result[0]
|
|
|
|
| 5 |
|
| 6 |
model = joblib.load('model_tree.joblib')
|
| 7 |
unique_values = joblib.load('unique_values.joblib')
|
| 8 |
+
SEX_DICT = {'M':1,
|
| 9 |
+
'F':2}
|
| 10 |
+
BP_DICT = {'LOW':1,
|
| 11 |
+
'NORMAL':2,
|
| 12 |
+
'HIGH':3}
|
| 13 |
+
Cholesterol = {'NORMAL':1,
|
| 14 |
+
'HIGH':2}
|
| 15 |
+
|
| 16 |
unique_Sex = unique_values['Sex']
|
| 17 |
unique_BP = unique_values['BP']
|
| 18 |
unique_Cholesterol = unique_values['Cholesterol']
|
|
|
|
| 34 |
if clicked:
|
| 35 |
result=model.predict(pd.DataFrame({"Age": [Age],
|
| 36 |
"Na_to_K": [Na_to_K],
|
| 37 |
+
"Sex": [SEX_DICT[Sex]],
|
| 38 |
+
"BP": [BP_DICT[BP]],
|
| 39 |
+
"Cholesterol": [Cholesterol[Cholesterol]]
|
| 40 |
}))
|
| 41 |
# Show prediction
|
| 42 |
result = result[0]
|