[scikit-learn] Decision tree call chronology

[Nicolas Hug]

Hi Aditya,

It's hard for us to answer without any specific question. Perhaps this 
will help: 
https://scikit-learn.org/stable/developers/contributing.html#reading-the-existing-code-base

The tree code is quite complex, because it is very generic and can 
support many different settings (multioutput, sparse data, etc) as well 
as many different parameters like max_features, splitter, presort... I 
would suggest being familiar with the different parameters before diving 
into the code.

Nicolas


On 1/14/20 6:00 AM, aditya aggarwal wrote:
> Hello
>
> I am trying to understand the order of functions call for performing 
> classification using decision tree in sklearn. I need to make and test 
> some changes in the algorithm used to calculate best split for my 
> dissertation. I have looked up the documentation available of sklearn 
> and other sources available online but couldn't seem to crack it. Any 
> help would be appreciated.
>
> Thanks
>
>
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