请写一个机器学习进行因果推断的案例Python代码
210浏览 · 2024-04-18 08:27:44
当涉及到因果推断时，常用的机器习方法是基于因果图模型的因果推断。下面是一个使用因果图模型进行因果推断的案例代码：
```python
import numpy as np
import pandas as pd
from causality.inference.search import IC
from causality.inference.independence_tests import RobustRegressionTest
from sklearn.model_selection import train_test_split
from sklearn.linear_model import LinearRegression
# 准备数据
data = pd.read_csv('data.csv') # 假设数据存储在data.csv文件中
X = data[['X1', 'X2', 'X3']] # 假设有三个特征变量X1, X2, X3
y = data['Y'] # 响应变量Y
# 划分训练集和测试集
X_train, X_test, y_train, y_test = train_test_split(X, y, test_size=0.2, random_state=42)
# 进行因果推断
ic_algorithm = IC(RobustRegressionTest)
graph = ic_algorithm.search(X_train, y_train)
# 获取因果关系
causal_relationships = graph.ed