Spaces:
Running
Running
Commit
·
aa6b40b
1
Parent(s):
4aa2b65
scaled the features
Browse files- app.py +5 -1
- std_scaler.bin +3 -0
app.py
CHANGED
|
@@ -4,6 +4,9 @@ import joblib
|
|
| 4 |
# Load the trained model
|
| 5 |
model = joblib.load("loan_classifier.joblib")
|
| 6 |
|
|
|
|
|
|
|
|
|
|
| 7 |
|
| 8 |
def predict_loan_status(
|
| 9 |
int_rate,
|
|
@@ -35,7 +38,8 @@ def predict_loan_status(
|
|
| 35 |
}
|
| 36 |
# Convert the dictionary to a 2D array
|
| 37 |
input_array = [list(input_dict.values())]
|
| 38 |
-
|
|
|
|
| 39 |
|
| 40 |
if prediction == 0:
|
| 41 |
return "Loan fully paid"
|
|
|
|
| 4 |
# Load the trained model
|
| 5 |
model = joblib.load("loan_classifier.joblib")
|
| 6 |
|
| 7 |
+
# Load Standared Scaler
|
| 8 |
+
scalar = joblib.load("std_scaler.bin")
|
| 9 |
+
|
| 10 |
|
| 11 |
def predict_loan_status(
|
| 12 |
int_rate,
|
|
|
|
| 38 |
}
|
| 39 |
# Convert the dictionary to a 2D array
|
| 40 |
input_array = [list(input_dict.values())]
|
| 41 |
+
scaled_array = scalar.transform(input_array)
|
| 42 |
+
prediction = model.predict(scaled_array)[0]
|
| 43 |
|
| 44 |
if prediction == 0:
|
| 45 |
return "Loan fully paid"
|
std_scaler.bin
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:e946c7c12fd6413a01cfd3cf6f3a1b69a5c88f042872bf8beba7ca3c928427c4
|
| 3 |
+
size 1330
|