在熊猫中获取实际的决策树

I'm using pandas command tree.DecisionTreeClassifier to build a (binary) classification tree. Something along the lines of:

我正在使用pandas命令tree.DecisionTreeClassifier来构建(二进制)分类树。有点像:

dcrG = tree.DecisionTreeClassifier(criterion='entropy',splitter='best',options_go_here)
dcrG.fit(train[features], train['G'])

Now that I have succesfully built my decision tree, I would like pandas to print me out the actual decision tree, so something along the lines of

现在我已经成功构建了我的决策树,我希望大熊猫能够将我打印出实际的决策树,所以

if (var1>0.4) 
  if (var4>3.24)
    if (var2<0.5)
      return 1
    else
      return 0
  else
    return 1
else
  if (var3>3.5)
    if (var2<0.1)
      return 0
    else
      return 1
  else
    if (var2>0.4)
      return 1
    else
      return 0

so that I can export the resulting algorithm to other programming languages. How can I do this?

这样我就可以将生成的算法导出到其他编程语言中。我怎样才能做到这一点?

1 个解决方案

#1

You can find a great solution to this here: https://gist.github.com/cstrelioff/8fefa9a43e82d96e9f0c

你可以在这里找到一个很好的解决方案:https://gist.github.com/cstrelioff/8fefa9a43e82d96e9f0c