In the context of this exercise, what else does the
LinearRegression function provide?
There are a few other things that the
LinearRegression function provides and lets us do.
When creating a
LinearRegression model, you can choose to determine whether it should calculate any intercept for the model, by setting the
fit_intercept parameter to
False. If you choose not to calculate any intercept for the model, it will except that the data is already centered. In addition, you can also set other parameters such as
In addition, you can obtain all the parameters of the model’s estimator using the
get_params() method, and, you can use the
score() method to obtain the R^2 score, which is a value telling how close the data is to the regression line.
To see a full list of all you can do with the
LinearRegression function, with more details on each method and parameter, you can also check out the documentation.