From 66ace156d13ef548247165db16935299261e1bfc Mon Sep 17 00:00:00 2001
From: luderby <2339127037@qq.com>
Date: Tue, 5 Nov 2024 19:16:46 +0800
Subject: [PATCH] =?UTF-8?q?=E6=9B=B4=E6=96=B0=20function.py?=
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---
 function.py | 13 ++-----------
 1 file changed, 2 insertions(+), 11 deletions(-)

diff --git a/function.py b/function.py
index 3d96b27..92c3b6f 100644
--- a/function.py
+++ b/function.py
@@ -55,19 +55,10 @@ def predict_logreg(inX, weights):
 # 从文件中加载数据  
 def load_data(filepath):
     data = pd.read_csv(filepath, header=None, na_values='?', delim_whitespace=True)
-
-    # 使用SimpleImputer进行中位数填充
-    imputer = SimpleImputer(strategy='median')
-    data_imputed = imputer.fit_transform(data)
-    data = pd.DataFrame(data_imputed)
-
+    data.fillna(0, inplace=True)
     X = data.iloc[:, :-1].to_numpy()  # 特征
     y = data.iloc[:, -1].to_numpy()    # 标签
-    # 使用MinMaxScaler进行特征缩放
-    scaler = MinMaxScaler()
-    X = scaler.fit_transform(X)
-    return X, y
-    
+    return X, y 
 # 准确率计算函数
 def calculate_accuracy(X, y, weights):
     predictions = np.array([predict_logreg(x, weights) for x in X])