[scikit-learn] Contribution

[Gürhan Ceylan]

Hi everyone,

I am wondering, How can I  use external optimization algorithms with
scikit-learn,
for instance neural network
<http://scikit-learn.org/stable/modules/neural_networks_supervised.html#algorithms>
, instead of defined algorithms ( Stochastic Gradient Descent, Adam, or
L-BFGS).

Furthermore, I want to introduce a new unconstrained optimization algorithm
to scikit-learn, implementation of the algorithm and related paper can be
found here <https://github.com/sibirbil/PMBSolve>.

I couldn't find any explanation
<http://scikit-learn.org/stable/developers/contributing.html>, about the
situation. Do you have defined procedure to make such kind of
contributions? If this is not the case, How should I start to make such a
proposal/contribution ?


Kind regards,

Gürhan C.
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