[SciPy-dev] is PySparse required for scipy.maxentropy
josef.pktd@gmai...
josef.pktd@gmai...
Fri Jan 23 12:50:06 CST 2009
historic artifact or not?
I saw a reference to PySparse in scipy.maxentropy.maxentutils.sparsefeatures.
Is this still required or covered by scipy.sparse?
Josef
def sparsefeatures(f, x, format='csc_matrix'):
""" Returns an Mx1 sparse matrix of non-zero evaluations of the
scalar functions f_1,...,f_m in the list f at the point x.
If format='ll_mat', the PySparse module (or a symlink to it) must be
available in the Python site-packages/ directory. A trimmed-down
version, patched for NumPy compatibility, is available in the SciPy
sandbox/pysparse directory.
"""
m = len(f)
if format == 'll_mat':
import spmatrix
sparsef = spmatrix.ll_mat(m, 1)
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