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 …

Today got merged some changes I made to function
scipy.linalg.get_blas_funcs(). The main enhacement is that
get_blas_funcs() now also accepts a single string as input parameter
and a dtype, so that fetching the BLAS function for a specific type
becomes more natural. For example, fetching the gemm routine for …

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 …

The following algorithm computes the Least squares solution || Ax -
b|| subject to the equality constrain Bx = d. It's a classic algorithm
that can be implemented only using a QR decomposition and a least
squares solver. This implementation uses numpy and scipy. It makes use
of the new linalg.solve_triangular function …

Profiling Python extensions has not been a pleasant experience for me,
so I made my own package to do the job. Existing alternatives were
either hard to use, forcing you to recompile with custom flags like
gprofile or desperately slow like valgrind/callgrind. The package I'll
talk about is called …

Yesterday was the scikit-learn coding sprint in Paris. It was great to
meet with old developers (Vincent Michel) and new ones: some of whom I
was already familiar with from the mailing list while others came just
to say hi and get familiar with the code. It was really great …

One thing I'd really like to see done in this Friday's scikit-learn
sprint is to have full support for Python 3. There's a branch were
the hard word has been done (porting C extensions, automatic 2to3
conversion, etc.), although joblib still has some bugs and no one has
attempted to …

**Update: a fast and stable norm was added to scipy.linalg in August
2011 and will be available in scipy 0.10** Last week I discussed with
Gael how we should compute the euclidean norm of a vector a using
SciPy. Two approaches suggest themselves, either calling
scipy.linalg.norm …

I was last weekend in FOSDEM presenting scikits.learn (here are
the slides I used at the Data Analytics Devroom). Kudos to Olivier
Grisel and all the people who organized such a fun and authentic
meeting!