Making Quantile Regression Example work for my own dataset in sklearn
Making Quantile Regression Example work for my own dataset in sklearn I am trying to implement quantile regression for my problem using the code at http://scikit-learn.org/stable/auto_examples/ensemble/plot_gradient_boosting_quantile.html I want to use the exact same code for my model. I am mainly interested in the quantile part. My data is simple, I have a bunch of features, a 5 dimensional vector as my input and a real value as y. So, instead of the data (x, sin(x)) in the above code, I am trying to get the model work for my own (X, y). The problem is, they are using xx as separate variables in the code, if I set xx to X, the code just gets messed up with a useless noisy visualisation. I described the specific changes I made, hoping the model to work, I tried a few other things as well to retrofit my data to the model. How should the code be modified to work on my inputs. What specific changes should be made? By cli...