Hi,
Me and my friend Shreyas want to contribute to the scikit-learn code.
I want to add code for neural networks (Multi-layer Perceptrons) and
Shreyas has some ideas for the Expecation-Maximization algorithm and
Gaussian Mixture Models. Please let us know how we can contribute to the
code and if we can discuss our ideas with someone on the scikit team so
that we are not reinventing something that is already there.
About me: I am a Computer Science Masters student at Texas A&M University
currently interning at Google. I have a basic version of neural networks
for classification implemented in python as part of my machine learning
class project (works well for UCI Datasets). I am planning to extend it for
regression and optimize it to make it public.
Shreyas is a PhD student at University of Texas at El Paso and is currently
interning at Google.
We are planning to pair program on these ideas to make them scikit worthy.
Thanks,
--
Vandana Bachani
Graduate Student, MSCE
Computer Science & Engineering Department
Texas A&M University, College Station
--
Vandana Bachani
Graduate Student, MSCE
Computer Science & Engineering Department
Texas A&M University, College Station
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