RF: Reimplement the Jacobian based on equations in the Koay paper.
RF - streamline Jacobian calculation and add test
TST: use the right function for the job.
BF: python3 compatibility.
BF + DOC: Cleaning up some old cruft and adding documentation for RESTORE.

Also, py3k compatibility for the dti module.
TST + BF: Test RESTORE with some outliers. Deal with LinAlg errors.
Script for profiling DTI fit methods on large amounts of data.
RF: If no convergence in NLLS, fall back on OLS solution.

That sames saner than setting it to all nans, somehow.
Another profiling script (more concise).
BF: the other order doesn't make much sense :-)
BF + RF: Use the Jacobian per default. Reshape params before returning.
Deal with situations in which sigma is a vector.

Also: added a test which currently fails on real data. Not so sure how to set
sigma here, but I am going to leave this here as a wish.
DOC: Clarify and prettify documentation, and some indentation in the code.
DOC: Added comments from the Chang paper (with help from @rfdougherty).
Switch `xrange` => `range` for ultimate python3 compatibility.

Also: some fixes to the docs, to render those equations nicely.
Updated suggestions and examples
minor changes

modified:   ../dipy/tracking/eudx.py
modified:   ../dipy/tracking/propspeed.pyx
modified:   examples/reconst_dti.py
modified:   examples/segment_quickbundles.py
Removed sh_smooth from the parameters
Merge pull request #54 from arokem/restore

Restore
checkout