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基于 auto-sklearn 的自动建模示例,覆盖几种常见算法。进一步优化的麻烦之处,还是在于从框架中抽取各种指标,衡量,以及合理展示

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auto-sklearn

Some codes, FAQ when exploring auto-sklearn.

Environment:

install

// Dependecy
curl https://raw.githubusercontent.com/automl/auto-sklearn/master/requirements.txt | xargs -n 1 -L 1 pip3 install
        
//auto-sklearn
pip3 install auto-sklearn

(pyrfr installed by pip3,needs memory >= 600MB)    

Server

1C1G (Yes, Poor Cloud VirtualMachine from AliCloud)
Centos 7.5 (3.10.0-862.14.4.el7.x86_64)

Software

  • python 3.6.1
  • sklearn 0.19.2
  • auto-sklearn 0.5.1

Demos:

  • Demo1 Get information from ensembled models(KS、AUC、submodels' attributes,etc),display on page(by jinja2)

  • Demo2 Better project structure based on demo1 More function for data storage

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基于 auto-sklearn 的自动建模示例,覆盖几种常见算法。进一步优化的麻烦之处,还是在于从框架中抽取各种指标,衡量,以及合理展示

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