This will go away when we refactor this code. Maybe you shouldn't look at
this PR quite yet. We will work on this on Tuesday and there will be
massive changes.



On Sun, Apr 14, 2013 at 10:31 AM, Stefan van der Walt <
notifications@github.com> wrote:

> In dipy/reconst/dti.py:
>
> > +           squared-error. Default behavior is to use uniform weighting. Other
> > +           options: 'sigma' 'gmm'
> > +
> > +    sigma: float
> > +        If the 'sigma' weighting scheme is used, a value of sigma needs to be
> > +        provided here. According to [Chang2005]_, a good value to use is
> > +        1.5267 * std(background_noise), where background_noise is estimated
> > +        from some part of the image known to contain no signal (only noise).
> > +
> > +
> > +    Returns
> > +    -------
> > +    nlls_params: the eigen-values and eigen-vectors of the tensor in each voxel.
> > +
> > +    """
> > +    data, wrap = _makearray(data)
>
> What does this do again?
>
> —
> Reply to this email directly or view it on GitHub<https://github.com/nipy/dipy/pull/54/files#r3786244>
> .
>