scikit-learn: undefined symbol: PyFPE_jbuf

Hi!

I always encounter this problem when I pull from upstream. Following are the version details:

Linux-4.4.0-38-generic-x86_64-with-debian-stretch-sid
('Python', '2.7.12 | packaged by conda-forge | (default, Sep  8 2016, 14:22:31) \n[GCC 4.8.2 20140120 (Red Hat 4.8.2-15)]')
('NumPy', '1.11.1')
('SciPy', '0.18.0')
('Scikit-Learn', '0.19.dev0')
('Cython', '0.24.1')

Following is the problem I’m facing:

In [1]: from sklearn import linear_model
---------------------------------------------------------------------------
ImportError                               Traceback (most recent call last)
<ipython-input-1-a6ebbebad697> in <module>()
----> 1 from sklearn import linear_model

/home/devashish/EXPERIMENTATION/scikit-learn/sklearn/linear_model/__init__.py in <module>()
     10 # complete documentation.
     11 
---> 12 from .base import LinearRegression
     13 
     14 from .bayes import BayesianRidge, ARDRegression

/home/devashish/EXPERIMENTATION/scikit-learn/sklearn/linear_model/base.py in <module>()
     30 from ..utils.validation import FLOAT_DTYPES
     31 from ..utils import check_random_state
---> 32 from ..utils.extmath import safe_sparse_dot
     33 from ..utils.sparsefuncs import mean_variance_axis, inplace_column_scale
     34 from ..utils.fixes import sparse_lsqr

/home/devashish/EXPERIMENTATION/scikit-learn/sklearn/utils/extmath.py in <module>()
     24 from ._logistic_sigmoid import _log_logistic_sigmoid
     25 from ..externals.six.moves import xrange
---> 26 from .sparsefuncs_fast import csr_row_norms
     27 from .validation import check_array
     28 from ..exceptions import NonBLASDotWarning

ImportError: sklearn/utils/sparsefuncs_fast.so: undefined symbol: PyFPE_jbuf

I have already executed sudo make and sudo python setup.py develop however I still face this issue. Currently I solve this by cloning the fork and setting up again which is quite cumbersome.

How can this be solved? Sorry if I missed out on stating any detail. Thanks for the help!