Today's coding sprint was a bit more crowded, with some notable scipy hackers such as Ralph Gommers, Stefan van der Walt, David Cournapeau or Fernando Perez from Ipython joining in. On what got done: - We merged Jake's new BallTree code. This is a pure Cython implementation of a nearest-neighbor …

I decided to test my new Locally Linear Embedding (LLE) implementation against a real dataset. At first I didn't think this would turn out very well, since LLE seems to be somewhat fragile, yielding largely different results for small differences in parameters such as number of neighbors or tolerance, but …

I've been working lately in improving the low-level API of the libsvm bindings in scikit-learn. The goal is to provide an API that encourages an efficient use of these libraries for expert users. These are methods that have lower overhead than the object-oriented interface as they are closer to the …

I've been working for some time on implementing a locally linear embedding algorithm for the upcoming manifold module in scikit-learn. While several implementations of this algorithm exist in Python, as far as I know none of them is able to use a sparse eigensolver in the last step of the …

The guys behind pythonxy have been kind enough to add the latest scikit-learn as an additional plugin for their distribution. Having scikit-learn being in both pythonxy and EPD will hopefully make it easier to use for Windows users. For now I will continue to make windows precompiled binaries, but pythonxy …