From ce7f269fcc758de9160c87ff3f6ca859167d438d Mon Sep 17 00:00:00 2001
From: zhangchenghong <1598349064@qq.com>
Date: Sat, 26 Oct 2024 12:32:33 +0800
Subject: [PATCH] =?UTF-8?q?=E6=9B=B4=E6=96=B0=20function.py?=
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---
 function.py | 14 +++++++++++---
 1 file changed, 11 insertions(+), 3 deletions(-)

diff --git a/function.py b/function.py
index 0c39134..57734ac 100644
--- a/function.py
+++ b/function.py
@@ -26,8 +26,11 @@ name = "章程鸿"
 
 
 # 这里写自己的代码实现
+import numpy as np
+
 def sigmoid(z):
     return 1 / (1 + np.exp(-z))
+
 def train_logreg(X, y, learning_rate=0.01, iterations=1000):
     """
     对率回归训练函数。
@@ -79,11 +82,16 @@ def load_data(filepath):
     - np.array: 特征数据。
     - np.array: 标签数据。
     """
-    data = np.loadtxt(filepath, delimiter=',')
+    data = []
+    with open(filepath, 'r') as file:
+        for line in file:
+            # 清理无效数据
+            cleaned_line = line.strip().replace('?', '0')  # 将问号替换为0
+            data.append([float(x) for x in cleaned_line.split()])  # 转换为浮点数
+    data = np.array(data)
     X = data[:, :-1]
     y = data[:, -1]
-    return X, y
-
+    return X, y       
 if __name__ == "__main__":
     # 以下代码可用于测试，可自行随意修改
     # 加载训练集