如何修复“ TypeError：fit（）缺少1个必需的位置参数：'X'”的错误

Question

我正在尝试使用LinearRegression

拟合模型

from sklearn.model_selection import cross_val_score
from sklearn.model_selection import train_test_split
from sklearn.preprocessing import PolynomialFeatures
from sklearn.pipeline import make_pipeline
X_train, X_test, y_train, y_test = train_test_split(x, y)
mod = make_pipeline(PolynomialFeatures(degree=1), 
LinearRegression(normalize=True))
mod.fit(x=X_train, y=y_train)

并收到错误消息

fit() missing 1 required positional argument: 'X'

请问如何解决？

Answer 1

对于Pipeline.fit的

Docs说大写X，请尝试：

mod.fit(X=X_train, y=y_train)