Hi all,
I noticed on two different machines that scikit-learn "make" no longer
completes due to the following test failure:
======================================================================
ERROR: sklearn.svm.tests.test_sparse.test_svc_with_custom_kernel
----------------------------------------------------------------------
Traceback (most recent call last):
File
"/home/stefan/lib/python2.7/site-packages/nose-1.2.1-py2.7.egg/nose/case.py",
line 197, in runTest
self.test(*self.arg)
File
"/home/stefan/akad/postdoc/ext/scikit-learn/sklearn/svm/tests/test_sparse.py",
line 73, in test_svc_with_custom_kernel
clf_mylin = svm.SVC(kernel=kfunc).fit(X_sp, Y)
File "/home/stefan/akad/postdoc/ext/scikit-learn/sklearn/svm/base.py",
line 203, in fit
fit(X, y, sample_weight, solver_type, kernel)
File "/home/stefan/akad/postdoc/ext/scikit-learn/sklearn/svm/base.py",
line 228, in _dense_fit
X = self._compute_kernel(X)
File "/home/stefan/akad/postdoc/ext/scikit-learn/sklearn/svm/base.py",
line 357, in _compute_kernel
kernel = self.kernel(X, self.__Xfit)
File
"/home/stefan/akad/postdoc/ext/scikit-learn/sklearn/svm/tests/test_sparse.py",
line 71, in <lambda>
kfunc = lambda x, y: np.dot(x, y.T)
ValueError: Cannot find a common data type.
----------------------------------------------------------------------
Stéfan
------------------------------------------------------------------------------
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