Is this intentional?
>>> exog
<50x5 sparse matrix of type '<class 'numpy.float64'>'
with 50 stored elements in Compressed Sparse Column format>
>>> np.asarray(exog)
array(<50x5 sparse matrix of type '<class 'numpy.float64'>'
with 50 stored elements in Compressed Sparse Column format>, dtype=object)
I'm just a newbie who thought to use the usual pattern.
....
>>> np.asarray(exog).dot(beta)
array([ <50x5 sparse matrix of type '<class 'numpy.float64'>'
with 50 stored elements in Compressed Sparse Column format>,
<50x5 sparse matrix of type '<class 'numpy.float64'>'
with 50 stored elements in Compressed Sparse Column format>,
<50x5 sparse matrix of type '<class 'numpy.float64'>'
with 50 stored elements in Compressed Sparse Column format>,
<50x5 sparse matrix of type '<class 'numpy.float64'>'
with 50 stored elements in Compressed Sparse Column format>,
<50x5 sparse matrix of type '<class 'numpy.float64'>'
with 50 stored elements in Compressed Sparse Column format>], dtype=object)
C:\programs\WinPython-64bit-3.4.3.1\python-3.4.3.amd64\lib\site-packages\scipy\sparse\compressed.py:306:
SparseEfficiencyWarning: Comparing sparse matrices using >= and <= is
inefficient, using <, >, or !=, instead.
"using <, >, or !=, instead.", SparseEfficiencyWarning)
seems to warn only once
>>> y = np.asarray(exog).dot(beta)
>>> y.shape
(5,)
>>> np.__version__
'1.9.2rc1'
>>> scipy.__version__
'0.15.1'
Josef
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