Okon Samuel

@kbjarnason thanks for reporting. We are aware of this issue. For now MacOS users would have to use non-mkl versions of scikit-learn. We would automate this in the build process...

@azev77 are you running julia in some form of container?. Could you please do `Pkg.status()`

@azev77 Ok. Now try the following code snippet. ```julia Pkg.add("PyCall") ENV["PYTHON"]= "" Pkg.build("PyCall") Pkg.update("ScikitLearn") ```

@azev77 Ok try ```julia Pkg.add("Conda") using Conda Conda.add("nomkl") Conda.add("scikit-learn") Conda.add("numexpr") Conda.rm("mkl") ``` then ```julia Pkg.build("PyCall") Pkg.update("ScikitLearn") using ScikitLearn; ScikitLearn.Skcore.import_sklearn() ``` Sorry for making you try all these. It's because am...

I'll update the source code instead. I think i know the reason if failed for you and passed CI.

@cstjean. I am going to remove `AdaBoostClassifier`(From DecisionTree,jl) from the example notebook. Until this issue https://github.com/bensadeghi/DecisionTree.jl/issues/121 gets fixed

@cstjean. There is one issue in converting the notebooks to weave or Literate.jl. - weave only supports Plots.jl plots - Literate doesn't yet support capturing plots

my plan is to use those notebooks as input and weave them to `markdown` in the doc generation process into a folder. Then finally add them to documenter

@cstjean. OK I guess I will work on that later. But for now can we tag a new release ??

@cstjean @mauro3 maybe the install should be made in a new enviroment