[scikit-learn] Changes in the classifier

[Adrin]

Outside GIL, you can't really work easily with Python objects. You should
instead stick to local C variables and routines. For instance, instead of
numpy routines, you can use cmath routines.

The cython book (
https://www.amazon.com/Cython-Programmers-Kurt-W-Smith/dp/1491901551)
and Nicolas's post (http://nicolas-hug.com/blog/cython_notes) may give you
some hints.

On Thu, Jan 9, 2020 at 7:24 AM aditya aggarwal <
adityaselfefficient at gmail.com> wrote:

> Hello
>
> I'm trying to change the entropy function which is used in sklearn for
> DecisionTreeClassification locally on my system.
> when I rerun the pip install --editable . command after updating the
> cython file, I receive the following error message:
>
>  Error compiling Cython file:
>     ------------------------------------------------------------
>     ...
>             for k in range(self.n_outputs):
>                 for c in range(n_classes[k]):
>                     count_k = sum_total[c]
>                     if count_k > 0.0:
>                         count_k /= self.weighted_n_node_samples
>                         entropy -= count_k * np.log2(count_k)
>                        ^
>     ------------------------------------------------------------
>
>     sklearn/tree/_criterion.pyx:537:20: Coercion from Python not allowed
> without the GIL
>
> This error is persisten with other errors as:
>
> Operation not allowed without gil
> Converting to Python object not allowed without gil
> Converting to Python object not allowed without gil
> Calling gil-requiring function not allowed without gil
> Accessing Python attribute not allowed without gil
> Accessing Python global or builtin not allowed without gil
>
>
> I've tried looking up for solution on various sites, but could not resolve
> the issue.
> Any help would be appreciated.
>
> Thanks and regards
> Aditya Aggarwal
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