Hello,
I'm writing, because I would like to contribute a multilayer perceptron module to scikit-learn. On your website it says that I should contact you to avoid duplicating work, so here I am. I'm a research associate and PhD candidate at the University of Göttingen, Germany. All of my research is related to machine learning and I often use scikit-learn to benchmark my own algorithms. I also use scikit-learn for teaching, so thank you for all for your great work. I've noticed that scikit-learn still lacks a multilayer perceptron. Since this is a very popular algorithm, I've decided that it would be a good idea to have one of my students develop such a module for his Bachelor's thesis under my supervision. He is very talented and I have no doubt that he can do it. Also, he can build on some code I have have already written. Here are the functionalities we would implement: - Classifier and regressor - Trained using SGD with minibatch updating - One hidden layer - Different activation functions (sigmoid, tanh, Gaussian RBM, multiquadric RBM, linear) and the ability to mix them (so you could have a neural network with 5 sigmoid functions, 10 Gaussian RBM and 5 multiquadric RBM) - L2 regularization Nice to have: - Support for scipy sparse matrices We would develop the main functionalities in C++ and then write an interface using Cython. Obviously, we would adhere to the coding guidelines (http://scikit-learn.org/stable/developers/index.html#coding-guidelines). Anything else we should consider? Greetings, Patrick Urbanke ------------------------------------------------------------------------------ Dive into the World of Parallel Programming The Go Parallel Website, sponsored by Intel and developed in partnership with Slashdot Media, is your hub for all things parallel software development, from weekly thought leadership blogs to news, videos, case studies, tutorials and more. Take a look and join the conversation now. http://goparallel.sourceforge.net/ _______________________________________________ Scikit-learn-general mailing list Scikit-learn-general@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/scikit-learn-general
