From 78d1c7ba3d299abab14b7857e452f60688318952 Mon Sep 17 00:00:00 2001
From: =?UTF-8?q?=E5=90=B4=E6=9D=A8=E6=B4=8B?= <2445091977@qq.com>
Date: Sat, 2 Nov 2024 20:51:46 +0800
Subject: [PATCH] =?UTF-8?q?=E6=9B=B4=E6=96=B0=20function.py?=
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---
 function.py | 20 +++++++++++++++-----
 1 file changed, 15 insertions(+), 5 deletions(-)

diff --git a/function.py b/function.py
index 4094fb3..74b40ae 100644
--- a/function.py
+++ b/function.py
@@ -64,12 +64,22 @@ def load_data(filepath):
     - X (np.array): 特征数据。
     - y (np.array): 标签数据。
     """
-    data = np.genfromtxt(filepath, delimiter=',', dtype=float, filling_values=0)
-    # 将问号 '?' 替换为 NaN，并将 NaN 替换为 0
-    data = np.where(data == '?', np.nan, data)
-    data = np.where(np.isnan(data), 0, data)
+    # 使用np.genfromtxt加载数据，并且忽略文件中不能转换为float的行
+    with open(filepath, 'r') as file:
+        lines = file.readlines()
+    
+    data = []
+    for line in lines:
+        split_line = line.strip().split(',')
+        # 将非数值数据转换为0
+        split_line = [float(x) if x != '?' else 0 for x in split_line]
+        data.append(split_line)
+    
+    data = np.array(data)
+    if data.ndim == 1:
+        data = data.reshape(1, -1)
     X = data[:, :-1]
-    y = data[:, -1]
+    y = data[:, -1].reshape(-1, 1)  # 确保y是二维的
     return X, y