线性回归API

from sklearn.linear_model import LinearRegression# 加载数据x = [[80, 86],[82, 80],[85, 78],[90, 90],[86, 82],[82, 90],[78, 80],[92, 94]]y = [84.2, 80.6, 80.1, 90, 83.2, 87.6, 79.4, 93.4]# 实例化APIestimator

AI耽误的大厨

445人浏览 · 2022-04-01 11:17:08

AI耽误的大厨 · 2022-04-01 11:17:08 发布

from sklearn.linear_model import LinearRegression
# 加载数据
x = [[80, 86],
     [82, 80],
     [85, 78],
     [90, 90],
     [86, 82],
     [82, 90],
     [78, 80],
     [92, 94]]

y = [84.2, 80.6, 80.1, 90, 83.2, 87.6, 79.4, 93.4]

# 实例化API
estimator = LinearRegression()
# 使用fit方法进行训练
estimator.fit(x,y)
print(estimator.coef_)
# 对未知样本预测
estimator.predict([[100, 80]])