great - thanks Lars - will prepare a PR
2013/10/9 Lars Buitinck <[email protected]>
> 2013/10/8 Peter Prettenhofer <[email protected]>:
> > that's a bug - I'll open a ticket for it.
> > A quick fix: call partial_fit instead of fit just before the ``for``
> loop.
>
> Peter, is this due to an optimization that turns coef_ into a
> Fortran-ordered array? If so, I don't think we need it any longer with
> NumPy 1.7 and the new sklearn.extmath.fast_dot:
>
> In [1]: X = np.random.randn(10000, 200)
>
> In [2]: Y = np.random.randn(200, 70)
>
> In [3]: %timeit np.dot(X, Y)
> 100 loops, best of 3: 16.5 ms per loop
>
> In [4]: Yf = asfortranarray(Y)
>
> In [5]: %timeit np.dot(X, Yf)
> 100 loops, best of 3: 16.7 ms per loop
>
> In [6]: numpy.__version__
> Out[6]: '1.7.1'
>
>
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--
Peter Prettenhofer
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