[SciPy-User] leastsq returns bizarre, not fitted, output for float values
Charles R Harris
Thu Jun 10 10:15:50 CDT 2010
On Thu, Jun 10, 2010 at 8:10 AM, Charles R Harris <email@example.com
> On Thu, Jun 10, 2010 at 8:02 AM, Matthieu Rigal <firstname.lastname@example.org> wrote:
>> OK, I've found the bug...
>> Somehow the leastsq function is not working if both data sets are float 32
>> By just adding following line the problem is solved :
>> aX = numpy.asarray(aX, dtype=numpy.float64)
>> Is it a known bug ? Should I add it to the bug tracker ?
>> Best regards,
> I think you should open a ticket and include a simple example.
I also note that the documentation of leastsq is totally screwed up and the
covariance returned is not the covariance, nor is it the currently
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