更新 function.py

function.py

@@ -1,6 +1,8 @@
 # function.py
 import numpy as np
-
+import pandas as pd
+from sklearn.preprocessing import StandardScaler
+from sklearn.model_selection import train_test_split
 
 
 """
@@ -88,6 +90,11 @@ def load_data(filepath):
 
     return np.array(data), np.array(labels)
 
+def preprocess_data(X):
+    # 特征标准化
+    scaler = StandardScaler()
+    return scaler.fit_transform(X)
+
 
 if __name__ == "__main__":
     # 以下代码可用于测试，可自行随意修改
@@ -99,6 +106,7 @@ if __name__ == "__main__":
 
     # 训练对率回归模型
     weights = train_logreg(X_train, y_train, learning_rate=0.01, iterations=1000,lambda_reg=0.01)
+    X_train, X_test, y_train, y_test = train_test_split(X_scaled, y, test_size=0.2, random_state=42)
 
     # 测试单个数据
     y_pred = predict_logreg(X_test[11], weights)