[SciPy-user] Least Squares error message.

[steve schmerler]

Hi

What do you mean? It is rather a status message telling you why 
termination occured.

If I try Travis's example I also get

In [10]: reload mytest
-------> reload(mytest)
(array([-10.33422249,  32.88295995,   3.7880052 ]), 'Both actual and 
predicted relative reductions in the sum of squares\n  are at most 
0.000000')

My default values are:

leastsq(func, x0, args=(), Dfun=None, full_output=0, col_deriv=0, 
ftol=1.49012e-008, xtol=1.49012e-008, gtol=0.0, maxfev=0, epsfcn=0.0, 
factor=100, diag=None)

The 0.0000 is in fact 'ftol' = 1.49012e-008 (in my opinion).

Cheers,
Steve

Andrea Riciputi wrote:
> I see, but what I can't understand is the meaning of the error message. 
> By the way, if I try the example given at page 16 of "SciPy Tutorial" 
> (by Travis), I get the same error message.
> 
> Any other hint?
> 
> TIA,
>  Andrea.
> 
> On 5 Apr 2005, at 15:58, steve schmerler wrote:
> 
>> Hi
>>
>> Well it looks as if the algorithm met one of its termination criterias 
>> ('ftol', at least mpfit (see earlier posts for mpfit) gives exactly 
>> the same message).
>>
>> Maybe you should post your code part which calls leastsq.
>>
>> Cheers,
>> Steve
> 
> 
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