0:00:00.220,0:00:02.469 Now this is a tough quiz because we haven't done this before. 0:00:02.469,0:00:04.939 So you'll probably want to do to the documentation page to figure out 0:00:04.939,0:00:05.930 how to do this. 0:00:05.930,0:00:07.390 Here's the question. 0:00:07.390,0:00:10.410 Suppose now that I've done my fitting with my Lasso regression, 0:00:10.410,0:00:12.845 maybe I've predicted a point or two with it. 0:00:12.845,0:00:16.810 Let's say that I want to understand the effect of the fact that this is 0:00:16.810,0:00:18.760 a regularized regression, 0:00:18.760,0:00:21.870 which means that I want to look at the coefficients of the regression. 0:00:21.870,0:00:25.420 I want to see, for example, if it's setting any of them to, to zero or to 0:00:25.420,0:00:30.840 very small values, which is effectively the same as discarding those features. 0:00:30.840,0:00:34.080 In other words, I want to start accessing the information of which 0:00:34.080,0:00:36.730 features are the most important in my regression results. 0:00:36.730,0:00:40.570 So the question for you is what would you put in this box here 0:00:40.570,0:00:42.810 to print the coefficients of the regression? 0:00:42.810,0:00:45.690 So I've already given you the print command, and 0:00:45.690,0:00:49.830 the question is what line would you put in this box to access the coefficients?