Added logistic classifier for use in stable regime checking
Removed useless monte_carlo module
Add stable_check.py

stable_check.py will do two things:

1.  Replicate the monte_carlo portion of the fitting algorithm (samples
a region for positive definiteness of the tangent stiffness), and

2.  Use logistic regression to find the decision boundary in strain
space between strain parameters which give stable models and strain
parameters which don't
Oops... need voigt-ify before spd test.  Fix
Voigt-ify before spd check
Added vectorized voigt-ify to lintools
stable_check must return *sample points*, not stiffnesses
Fix monte carlo to sample in rectangle not line

Updated datafit and stable_check to use this fixed monte carlo.
tuesday_golriz is still useful, but should be ref'd as example
Added calibration to logistic classifier
ALL THAT TROUBLE FOR WHITESPACE
Use bfgs fmin, not vanilla fmin in logistic
Saved friday session
Cleaned up the friday_run mess
Did some monte carlo validation experiments
Cleaned up monte carlo estimating session for future use
Trying to show decision boundary in logistic classifier test
Trying to get some kind of plot for the decision boundary
Fixed TH shape in friday_run
Split up multi-argument einsums per a forum suggestion