Thanks for the report.
This is due to changes in scipy 0.16 and fixed in master.
On 08/10/2015 05:34 PM, Sergio Rojas wrote:
> Summary of errors from self-tests of scikit-learn-0.16.1
> on ubuntu 14.04 under:
>
>
> $ python3
> Python 3.4.3 (default, Jul 29 2015, 16:07:32)
> [GCC 4.8.4] on linux
> Type "help", "copyright", "credits" or "license" for more information.
>>>> import scipy
>>>> scipy.__version__
> '0.16.0'
>>>> import numpy
>>>> numpy.__version__
> '1.9.2'
>>>> exit()
> $ nosetests -v sklearn
> ...
> ...
> ...
> ======================================================================
> ERROR: sklearn.gaussian_process.tests.test_gaussian_process.test_2d
> ----------------------------------------------------------------------
> Traceback (most recent call last):
> File
> "/home/myProg/PythonGnu343/Linux64b/lib/python3.4/site-packages/nose/case.p
> y", line 198, in runTest
> self.test(*self.arg)
> File
> "/home/myProg/PythonGnu343/Linux64b/lib/python3.4/site-packages/sklearn/gau
> ssian_process/tests/test_gaussian_process.py", line 64, in test_2d
> gp.fit(X, y)
> File
> "/home/myProg/PythonGnu343/Linux64b/lib/python3.4/site-packages/sklearn/gau
> ssian_process/gaussian_process.py", line 338, in fit
> self._arg_max_reduced_likelihood_function()
> File
> "/home/myProg/PythonGnu343/Linux64b/lib/python3.4/site-packages/sklearn/gau
> ssian_process/gaussian_process.py", line 730, in
> _arg_max_reduced_likelihood_funct
> ion
> iprint=0)
> File
> "/home/myProg/PythonGnu343/Linux64b/lib/python3.4/site-packages/scipy/optim
> ize/cobyla.py", line 177, in fmin_cobyla
> **opts)
> File
> "/home/myProg/PythonGnu343/Linux64b/lib/python3.4/site-packages/scipy/optim
> ize/cobyla.py", line 244, in _minimize_cobyla
> f = c['fun'](x0, *c['args'])
> File
> "/home/myProg/PythonGnu343/Linux64b/lib/python3.4/site-packages/sklearn/gau
> ssian_process/gaussian_process.py", line 707, in <lambda>
> log10t[i] - np.log10(self.thetaL[0, i]))
> IndexError: index 1 is out of bounds for axis 0 with size 1
> ======================================================================
> ERROR: sklearn.gaussian_process.tests.test_gaussian_process.test_2d_2d
> ----------------------------------------------------------------------
> Traceback (most recent call last):
> File
> "/home/myProg/PythonGnu343/Linux64b/lib/python3.4/site-packages/nose/case.p
> y", line 198, in runTest
> self.test(*self.arg)
> File
> "/home/myProg/PythonGnu343/Linux64b/lib/python3.4/site-packages/sklearn/gau
> ssian_process/tests/test_gaussian_process.py", line 94, in test_2d_2d
> gp.fit(X, y)
> File
> "/home/myProg/PythonGnu343/Linux64b/lib/python3.4/site-packages/sklearn/gau
> ssian_process/gaussian_process.py", line 338, in fit
> self._arg_max_reduced_likelihood_function()
> File
> "/home/myProg/PythonGnu343/Linux64b/lib/python3.4/site-packages/sklearn/gau
> ssian_process/gaussian_process.py", line 730, in
> _arg_max_reduced_likelihood_funct
> ion
> iprint=0)
> File
> "/home/myProg/PythonGnu343/Linux64b/lib/python3.4/site-packages/scipy/optim
> ize/cobyla.py", line 177, in fmin_cobyla
> **opts)
> File
> "/home/myProg/PythonGnu343/Linux64b/lib/python3.4/site-packages/scipy/optim
> ize/cobyla.py", line 244, in _minimize_cobyla
> f = c['fun'](x0, *c['args'])
> File
> "/home/myProg/PythonGnu343/Linux64b/lib/python3.4/site-packages/sklearn/gau
> ssian_process/gaussian_process.py", line 707, in <lambda>
> log10t[i] - np.log10(self.thetaL[0, i]))
> IndexError: index 1 is out of bounds for axis 0 with size 1
> ======================================================================
> ERROR:
> sklearn.gaussian_process.tests.test_gaussian_process.test_more_builtin_corr
> elation_models
> ----------------------------------------------------------------------
> Traceback (most recent call last):
> File
> "/home/myProg/PythonGnu343/Linux64b/lib/python3.4/site-packages/nose/case.p
> y", line 198, in runTest
> self.test(*self.arg)
> File
> "/home/myProg/PythonGnu343/Linux64b/lib/python3.4/site-packages/sklearn/gau
> ssian_process/tests/test_gaussian_process.py", line 114, in
> test_more_builtin_corr
> elation_models
> test_2d(regr='constant', corr=corr, random_start=random_start)
> File
> "/home/myProg/PythonGnu343/Linux64b/lib/python3.4/site-packages/sklearn/gau
> ssian_process/tests/test_gaussian_process.py", line 64, in test_2d
> gp.fit(X, y)
> File
> "/home/myProg/PythonGnu343/Linux64b/lib/python3.4/site-packages/sklearn/gau
> ssian_process/gaussian_process.py", line 338, in fit
> self._arg_max_reduced_likelihood_function()
> File
> "/home/myProg/PythonGnu343/Linux64b/lib/python3.4/site-packages/sklearn/gau
> ssian_process/gaussian_process.py", line 730, in
> _arg_max_reduced_likelihood_funct
> ion
> iprint=0)
> File
> "/home/myProg/PythonGnu343/Linux64b/lib/python3.4/site-packages/scipy/optim
> ize/cobyla.py", line 177, in fmin_cobyla
> **opts)
> File
> "/home/myProg/PythonGnu343/Linux64b/lib/python3.4/site-packages/scipy/optim
> ize/cobyla.py", line 244, in _minimize_cobyla
> f = c['fun'](x0, *c['args'])
> File
> "/home/myProg/PythonGnu343/Linux64b/lib/python3.4/site-packages/sklearn/gau
> ssian_process/gaussian_process.py", line 707, in <lambda>
> log10t[i] - np.log10(self.thetaL[0, i]))
> IndexError: index 1 is out of bounds for axis 0 with size 1
> ======================================================================
> ERROR:
> sklearn.gaussian_process.tests.test_gaussian_process.test_ordinary_kriging
> ----------------------------------------------------------------------
> Traceback (most recent call last):
> File
> "/home/myProg/PythonGnu343/Linux64b/lib/python3.4/site-packages/nose/case.p
> y", line 198, in runTest
> self.test(*self.arg)
> File
> "/home/myProg/PythonGnu343/Linux64b/lib/python3.4/site-packages/sklearn/gau
> ssian_process/tests/test_gaussian_process.py", line 123, in
> test_ordinary_kriging
> test_2d(regr='linear', beta0=[0., 0.5, 0.5])
> File
> "/home/myProg/PythonGnu343/Linux64b/lib/python3.4/site-packages/sklearn/gau
> ssian_process/tests/test_gaussian_process.py", line 64, in test_2d
> gp.fit(X, y)
> File
> "/home/myProg/PythonGnu343/Linux64b/lib/python3.4/site-packages/sklearn/gau
> ssian_process/gaussian_process.py", line 338, in fit
> self._arg_max_reduced_likelihood_function()
> File
> "/home/myProg/PythonGnu343/Linux64b/lib/python3.4/site-packages/sklearn/gau
> ssian_process/gaussian_process.py", line 730, in
> _arg_max_reduced_likelihood_funct
> ion
> iprint=0)
> File
> "/home/myProg/PythonGnu343/Linux64b/lib/python3.4/site-packages/scipy/optim
> ize/cobyla.py", line 177, in fmin_cobyla
> **opts)
> File
> "/home/myProg/PythonGnu343/Linux64b/lib/python3.4/site-packages/scipy/optim
> ize/cobyla.py", line 244, in _minimize_cobyla
> f = c['fun'](x0, *c['args'])
> File
> "/home/myProg/PythonGnu343/Linux64b/lib/python3.4/site-packages/sklearn/gau
> ssian_process/gaussian_process.py", line 707, in <lambda>
> log10t[i] - np.log10(self.thetaL[0, i]))
> IndexError: index 1 is out of bounds for axis 0 with size 1
> ======================================================================
> ERROR: sklearn.gaussian_process.tests.test_gaussian_process.test_random_starts
> ----------------------------------------------------------------------
> Traceback (most recent call last):
> File
> "/home/myProg/PythonGnu343/Linux64b/lib/python3.4/site-packages/nose/case.p
> y", line 198, in runTest
> self.test(*self.arg)
> File
> "/home/myProg/PythonGnu343/Linux64b/lib/python3.4/site-packages/sklearn/gau
> ssian_process/tests/test_gaussian_process.py", line 150, in test_random_starts
> verbose=False).fit(X, y)
> File
> "/home/myProg/PythonGnu343/Linux64b/lib/python3.4/site-packages/sklearn/gau
> ssian_process/gaussian_process.py", line 338, in fit
> self._arg_max_reduced_likelihood_function()
> File
> "/home/myProg/PythonGnu343/Linux64b/lib/python3.4/site-packages/sklearn/gau
> ssian_process/gaussian_process.py", line 730, in
> _arg_max_reduced_likelihood_funct
> ion
> iprint=0)
> File
> "/home/myProg/PythonGnu343/Linux64b/lib/python3.4/site-packages/scipy/optim
> ize/cobyla.py", line 177, in fmin_cobyla
> **opts)
> File
> "/home/myProg/PythonGnu343/Linux64b/lib/python3.4/site-packages/scipy/optim
> ize/cobyla.py", line 244, in _minimize_cobyla
> f = c['fun'](x0, *c['args'])
> File
> "/home/myProg/PythonGnu343/Linux64b/lib/python3.4/site-packages/sklearn/gau
> ssian_process/gaussian_process.py", line 707, in <lambda>
> log10t[i] - np.log10(self.thetaL[0, i]))
> IndexError: index 1 is out of bounds for axis 0 with size 1
> ======================================================================
> ERROR: sklearn.tests.test_common.test_non_meta_estimators('KernelRidge',
> <class 's
> klearn.kernel_ridge.KernelRidge'>)
> ----------------------------------------------------------------------
> Traceback (most recent call last):
> File
> "/home/myProg/PythonGnu343/Linux64b/lib/python3.4/site-packages/nose/case.p
> y", line 198, in runTest
> self.test(*self.arg)
> File
> "/home/myProg/PythonGnu343/Linux64b/lib/python3.4/site-packages/sklearn/uti
> ls/estimator_checks.py", line 174, in check_dtype_object
> estimator.fit(X, y.astype(object))
> File
> "/home/myProg/PythonGnu343/Linux64b/lib/python3.4/site-packages/sklearn/ker
> nel_ridge.py", line 158, in fit
> copy)
> File
> "/home/myProg/PythonGnu343/Linux64b/lib/python3.4/site-packages/sklearn/lin
> ear_model/ridge.py", line 145, in _solve_cholesky_kernel
> overwrite_a=False)
> File
> "/home/myProg/PythonGnu343/Linux64b/lib/python3.4/site-packages/scipy/linal
> g/basic.py", line 77, in solve
> b1 = _asarray_validated(b, check_finite=check_finite)
> File
> "/home/myProg/PythonGnu343/Linux64b/lib/python3.4/site-packages/scipy/_lib/
> _util.py", line 140, in _asarray_validated
> raise ValueError('object arrays are not supported')
> ValueError: object arrays are not supported
> ----------------------------------------------------------------------
> Ran 4092 tests in 120.655s
> FAILED (SKIP=18, errors=6)
> $
>
>
>
> ------------------------------------------------------------------------------
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