Julia's machine learning based on the PyCall mechanism

As we all know, there are many Python machine learning resources freely available online.Thus I have researched how to easily use Python libraries with Julia.
Here are some examples to explain the correct Calling Pose for the PyCall.
For example, Scikit-learn is a simple and effective tool for data mining and analysis.


Ha, if type PyObject has no field, you can see PyCall question
such as,

in sklearn.
ref:https://github.com/JuliaPy/PyCall.jl
In addition, thanks to June for his unselfish help at the juliacn,
http://discourse.juliacn.com/t/topic/490/2
For the moment , PyCall could make up for the imperfect Julia Machine Learning library.

Julia has a Scikit-Learn port (currently not yet updated for Julia 0.7/1.0): GitHub - cstjean/ScikitLearn.jl: Julia implementation of the scikit-learn API https://cstjean.github.io/ScikitLearn.jl/dev/

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I am using scikitlearn on Julia 0.7 and windows 10. It works.