Hi Vandana and Shreyas, Welcome and thanks for the interest,
With regards to MLP (multi-layer perceptrons), David Marek is right now working on such feature: https://github.com/davidmarek/scikit-learn/tree/gsoc_mlp you can probably pitch in with him: 4 eyes are always better than only 2. With regard to EM for GMM, the scikit-learn has an implementation of this class of algorithms in sklearn/mixture/gmm.py. This code is a little bit outdated and can probably be improved in terms of readability, speed and feature set. Cheers, Gaël On Mon, Jun 04, 2012 at 04:31:26PM -0700, Vandana Bachani wrote: > 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, ------------------------------------------------------------------------------ Live Security Virtual Conference Exclusive live event will cover all the ways today's security and threat landscape has changed and how IT managers can respond. Discussions will include endpoint security, mobile security and the latest in malware threats. http://www.accelacomm.com/jaw/sfrnl04242012/114/50122263/ _______________________________________________ Scikit-learn-general mailing list [email protected] https://lists.sourceforge.net/lists/listinfo/scikit-learn-general
