写一个多元线性回归算法python

Sure, I can certainly help you with that. Here's an example of implementing multiple linear regression in Python:

import numpy as np
from sklearn.linear_model import LinearRegression

# Define your data points
x = np.array([[1, 2, 3], [4, 5, 6], [7, 8, 9]])
y = np.array([4, 7, 10])

# Create the linear regression model and fit it to the data
model = LinearRegression().fit(x, y)

# Print out the coefficients for each variable
print(model.coef_)

This script defines three data points with three variables each, and a corresponding set of dependent variables. It then creates a `LinearRegression` object and fits the data to the model. Finally, it prints out the coefficients for each variable, which can be used to predict outcomes for new input values.

I hope that helps! Let me know if you have any other questions.