Thomas Bury
Thomas Bury
> Hi, > I just wanted to check if there is a way to see the visualization of box-plot and Z-importance scores like R-CRAN package > https://www.analyticsvidhya.com/blog/2016/03/select-important-variables-boruta-package/ Hi, not currently...
> > Hi, > > I just wanted to check if there is a way to see the visualization of box-plot and Z-importance scores like R-CRAN package > > https://www.analyticsvidhya.com/blog/2016/03/select-important-variables-boruta-package/...
Implements sample_weight and optional permutation and SHAP importance, categorical features, boxplot
> Hi Thomas, > > Thanks for this! Will try to find time in the next few weeks to go through it (it's quite a lot). To start with however,...
Implements sample_weight and optional permutation and SHAP importance, categorical features, boxplot
> This seems like a really cool PR! Is there any chance that it will get merged soon? Thanks @erikvdp, meanwhile, you might have a look at https://github.com/ThomasBury/arfs implementing those...
I worked on this for one of my pro projects. I have broken down the `association` functions into smaller functions and parallelized them. It is currently a bit less flexible...
Hey, I'm late on the ball. I'm currently refactoring the code when my other duties allow me to do so. I'll try to benchmark the same way. The other features...
> Interesting question. The answer depends on what we mean by "Glassbox". If we mean the ability to fully understand exactly how the model makes predictions, and to also understand...
Implements sample_weight and optional permutation and SHAP importance, categorical features, boxplot
> Any chance this will be merged? Would really like to try out Boruta with Shap feature importance Hi @MauritsDescamps, I built the [ARFS package](https://arfs.readthedocs.io/en/latest/index.html) to provide those features for...