贝叶斯算法python代码
时间: 2023-09-30 14:13:17 浏览: 56
以下是使用高斯贝叶斯算法的Python代码示例:
```python
from sklearn.naive_bayes import GaussianNB
# 创建高斯贝叶斯分类器
gnb = GaussianNB()
# 使用训练集训练模型
gnb.fit(X_train, y_train)
# 使用模型进行预测
y_pred = gnb.predict(X_test)
```
请注意,上述代码中的X_train和y_train是训练集的特征和标签,X_test是测试集的特征。你需要根据你自己的数据将其替换为相应的变量名。另外,为了完整地展示代码示例,我还引用了一些绘图相关的代码,用于可视化分类结果。你可以根据需要进行调整或省略这些绘图代码。<em>1</em><em>2</em><em>3</em>
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