Kemal, any idea how to fix this bug? Right now, almost every commit in
master triggers a failure in jenkins.
Mathieu
On Mon, Aug 26, 2013 at 7:09 PM, Olivier Grisel <[email protected]>wrote:
> The failure was caused by the merge of the memory optimized
> implementation of the dot product that probably causes slight changes
> in the way the data is generated.
>
> I think the real issue is that this test makes ARPACK very sensitive
> to small changes: would it be possible to change the test to use a
> dataset that is better conditioned to make ARPACK more robust to small
> input changes?
>
> Here is the full log:
>
>
> https://jenkins.shiningpanda-ci.com/scikit-learn/job/python-2.7-numpy-1.6.2-scipy-0.10.1/2705/consoleFull
>
> The traceback is:
>
> ======================================================================
> ERROR:
> sklearn.cluster.bicluster.tests.test_spectral.test_perfect_checkerboard
> ----------------------------------------------------------------------
> Traceback (most recent call last):
> File
> "/home/slave/virtualenvs/cpython-2.7/lib/python2.7/site-packages/nose/case.py",
> line 197, in runTest
> self.test(*self.arg)
> File
> "/home/slave/jenkins/workspace/python-2.7-numpy-1.6.2-scipy-0.10.1/sklearn/cluster/bicluster/tests/test_spectral.py",
> line 178, in test_perfect_checkerboard
> model.fit(S)
> File
> "/home/slave/jenkins/workspace/python-2.7-numpy-1.6.2-scipy-0.10.1/sklearn/cluster/bicluster/spectral.py",
> line 126, in fit
> self._fit(X)
> File
> "/home/slave/jenkins/workspace/python-2.7-numpy-1.6.2-scipy-0.10.1/sklearn/cluster/bicluster/spectral.py",
> line 444, in _fit
> u, v = self._svd(normalized_data, n_sv, n_discard)
> File
> "/home/slave/jenkins/workspace/python-2.7-numpy-1.6.2-scipy-0.10.1/sklearn/cluster/bicluster/spectral.py",
> line 142, in _svd
> u, _, vt = svds(array, k=n_components, ncv=self.n_svd_vecs)
> File
> "/home/slave/virtualenvs/cpython-2.7/lib/python2.7/site-packages/scipy/sparse/linalg/eigen/arpack/arpack.py",
> line 1597, in svds
> eigvals, eigvec = eigensolver(XH_X, k=k, tol=tol ** 2)
> File
> "/home/slave/virtualenvs/cpython-2.7/lib/python2.7/site-packages/scipy/sparse/linalg/eigen/arpack/arpack.py",
> line 1545, in eigsh
> params.iterate()
> File
> "/home/slave/virtualenvs/cpython-2.7/lib/python2.7/site-packages/scipy/sparse/linalg/eigen/arpack/arpack.py",
> line 578, in iterate
> raise ArpackError(self.info, infodict=self.iterate_infodict)
> ArpackError: ARPACK error 3: No shifts could be applied during a cycle
> of the Implicitly restarted Arnoldi iteration. One possibility is to
> increase the size of NCV relative to NEV.
>
>
>
> --
> Olivier
> http://twitter.com/ogrisel - http://github.com/ogrisel
>
>
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