From c629ff80706343e175d4960cbca54e81d8e00840 Mon Sep 17 00:00:00 2001
From: 202210423104 <1961532386@qq.com>
Date: Sun, 3 Nov 2024 15:54:03 +0800
Subject: [PATCH] =?UTF-8?q?=E6=9B=B4=E6=96=B0=20function.py?=
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---
 function.py | 7 +++----
 1 file changed, 3 insertions(+), 4 deletions(-)

diff --git a/function.py b/function.py
index 23c855a..5dbac91 100644
--- a/function.py
+++ b/function.py
@@ -18,7 +18,6 @@ def load_data(filepath):
     data = np.array(data)
     data = np.nan_to_num(data, nan=np.nanmean(data, axis=0))
 
-    # 这里需要根据具体数据格式调整
     X = data[:, :-1]  # 特征
     y = data[:, -1]   # 标签
     return X, y
@@ -33,12 +32,12 @@ def preprocess_data(X):
 def train_logreg(X, y):
     model = RandomForestClassifier(n_estimators=113, max_depth=10, random_state=42)
     model.fit(X, y)
-    return model
+    return model  # 返回训练好的模型
 
 def predict_logreg(model, X):
-    # X 应该是一个单独的样本，确保它的形状是 (1, n_features)
-    return model.predict(X.reshape(1, -1))[0]
+    return model.predict(X.reshape(1, -1))[0]  # 确保 model 是训练好的模型
 
 if __name__ == "__main__":
     X, y = load_data("./data/horse-colic.data")
+    
     # 这里可能需要确保调用和处理的逻辑符合你的数据处理需求