Thanks a lot to all devs for making this very useful library available to everyone.
I'm considering using this lib in my job to predict the car market values to be able to provide users with a range instead of a point estimation of the value of their car.
By cross-validating I found that using the exponential distribution gives best results (with a large margin), also, using the normal distribution sometimes made training not converge. The problem I'm facing is that, using such distribution, the 95% confidence intervals are very large, for example
Thanks a lot to all devs for making this very useful library available to everyone.
I'm considering using this lib in my job to predict the car market values to be able to provide users with a range instead of a point estimation of the value of their car.
By cross-validating I found that using the exponential distribution gives best results (with a large margin), also, using the normal distribution sometimes made training not converge. The problem I'm facing is that, using such distribution, the 95% confidence intervals are very large, for example
Basically, in my case the predictions are ok but the intervals are really not usable. Is there anything I could do?