ShapML.jl
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nredell
A Julia package for interpretable machine learning with stochastic Shapley values
Hi - is there a method to get shapley values for classification problems? The code I tried is below: > RFC = @load RandomForestClassifier pkg="DecisionTree" rfc_model = RFC() rf_machine =...
Hello everyone, I hope you are well, I have tried to run the code of the ShapML.jl example, but I have this error "MethodError: no method matching DataFrame (:: Matrix...
I installed MLJ package initially and then tried installing ShapML. It repeatedly gives error saying - Error when installing package MLJ: IOError: unlink( ): resource busy or locked (EBUSY) This...
Seems like this is not compatible with the latest DataFrames 22.0 version if you do add ShapML. I was able to download it from the github repository but it resulted...
hi , I am doing a random forest tree with data file: https://www.openml.org/d/179 my code worked in many smaller data files. but this the largest data file I tried so...
At present, for each instance, the sum of the Shapley values will not exactly equal the model prediction. Assuming that the reference population is the right population, in the limit...
Replaced `data_plot =DataFrames.by(...` with `data_plot =combine(groupby(...` in the doc example. To note that the file updated do not correspond to the built documentation. In the documentation currently displayed on the...
