Predicted y during training by linear regression

Question

I'm doing a linear regression:

lr = LinearRegression(fit_intercept=True)
lr.fit(X_train, y_train)
print("R2 OLS: " + str(lr.score(X_train, y_train))) 

It is easy to get the predicted values for testing:

lr.predict(X_test)

and then I can further use those values. But is there any way to get the predicted values (y) by the OLS during training?

Answer 1

You can predict on the X_train:

lr.predit(X_train)

For example, this is where the regression line is: