On 3/27/07, Robert Cimrman [EMAIL PROTECTED] wrote:
ok. now which version of scipy (scipy.__version__) do you use (you may
have posted it, but I missed it)? Not so long ago, there was an effort
by Nathan Bell and others reimplementing sparsetools + scipy.sparse to
get better usability and
David Koch wrote:
On 3/27/07, Robert Cimrman [EMAIL PROTECTED] wrote:
ok. now which version of scipy (scipy.__version__) do you use (you may
have posted it, but I missed it)? Not so long ago, there was an effort
by Nathan Bell and others reimplementing sparsetools + scipy.sparse to
get
On 3/26/07, Robert Cimrman [EMAIL PROTECTED] wrote:
Could you be more specific on which type of the sparse matrix storage
did you use?
Hi Robert,
I used csc_matrix.
/David
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David Koch wrote:
On 3/26/07, Robert Cimrman [EMAIL PROTECTED] wrote:
Could you be more specific on which type of the sparse matrix storage
did you use?
Hi Robert,
I used csc_matrix.
OK, good. Would you mind measuring csc * csr, csc * csc, csr * csc and
csr * csr? I am curious how
Ok,
I did and the results are:
csc * csc: 372.601957083
csc * csc: 3.90811300278
csr * csc: 15.3202679157
csr * csr: 3.84498214722
Mhm, quite insightful. Note, that in an operation X.transpose() * X, where X
is csc_matrix, then X.tranpose() is automatically cast to csr_matrix. A
re-cast to csc
