[SciPy-user] use of rv_continuous "fit"?
oliphant at ee.byu.edu
Mon Aug 29 18:28:39 CDT 2005
lindeman at bard.edu wrote:
>I do realize that the normal distribution is defined by mean and variance, so
>this particular example is rather futile. I was deliberately trying to use a
>trivial example to help me figure out the calling conventions, etc. throughout
>the package. It's _possible_ that fit() is broken, but more likely that my
It is actually likely that .fit is broken because it and nnlf was rather
loosely hacked together as an after thought to the rest of the
distribution infrastructure which is in much better shape. I just ran
some tests and it looks like there may be some problems.
One thing that might help is that all distributions take location and
scale keyword arguments, in addition, to any parameters they may have.
Thus, you are always going to fit to these parameters as well. (The
default initial guesses for these values are 0.0 and 1.0 which you can
alter by passing keyword arguments in to fit).
So, a Gaussian distribution will have no other arguments and would be
res = stats.norm.fit(data)
res would be just the location and scale parameters since there are no
I just tried this and I get an error because of calling conventions to
nnlf. This needs to be fixed.
More information about the SciPy-user