Carla Fernandez
Carla Fernandez
This is amazing @rflameiro , sorry for the late response. Thank you!
@slundberg I'm curious as to why this is not already implemented as a feature. Any particular reason, or difficulty you foresee? Or there just hasn't been anyone who creates the...
I would analyze each model separately. I would create an explainer for model 1, check feature importance, paint some scatter plots, get a feel for the explanations. And then, create...
It does depend on the type of encoding used. After all, that's all the model "sees". In your plot, it's probably difficult to see the differences among categories because they...
Well, for once you must instantiate an explainer and obtain the shap values. What you are calling here shap_values are just your predictions. Try: ```python explainer = shap.Explainer(clf) shap_values =...
Hi, I've just installed spark-df-profiling==1.1.13 (latest version) using pip, and this error remains. @julioasotodv Any chance we can move this so it gets fixed? This library is very promising but...
Hi @nicolaskruchten, any updates on allowing facet_* and marginal_* to work together?
Any updates on this? It would be great if the padding auto-adjusted, or at least if we could have some manual padding option.
Thanks @dbczumar , I will try, but it might take a bit since I don't currently have permissions to create or modify clusters. @WeichenXu123 I do have a different pyspark...
@WeichenXu123 thanks, basically, the parsing and planning of the job runs on your local machine. Then, the logical representation of the job is sent to the Spark server running in...