[SciPy-User] optimize leastsq

[Christopher Jordan-Squire]

It's from the fortran code that leastsq calls. According to comments in the
source,

 info = 1  both actual and predicted relative reductions
c                   in the sum of squares are at most ftol.
c
c         info = 2  relative error between two consecutive iterates
c                   is at most xtol.
c
c         info = 3  conditions for info = 1 and info = 2 both hold.
c
c         info = 4  the cosine of the angle between fvec and any
c                   column of the jacobian is at most gtol in
c                   absolute value.


I presume that means the info says what conditions caused the function
to terminate.


-Chris JS


On Tue, Jun 28, 2011 at 5:03 AM, Johannes Radinger <
johradinger at googlemail.com> wrote:

> Sorry for double posting, but I thought yesterdays posting didn't
> work.
>
> /johannes
>
> On 28 Jun., 14:01, Johannes Radinger <johradin... at googlemail.com>
> wrote:
> > Hello,
> >
> > I just wanted to ask you about the output of leassq.
> > Besides the fitted values I also get an integer flag 1-4.
> >
> > http://docs.scipy.org/doc/scipy/reference/generated/scipy.optimize.le...
> >
> > what does this flag exactly mean and what are the differences between
> > the numbers?
> >
> > Secondly I want to know the accuracy of the fit? is there any value
> > for e.g the residuals etc. or what is the requested tolerance of that
> > algorithm?
> >
> > thanks
> > Johannes
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