demo now has a CLI
Unraveled params to allow for different shapes (n,1) or (n,) to be used
We now return x.ravel() since this was expected
Added probit to demo.py
Updated README.txt
Bugfix in demo.  Now probit gets its endog variables correctly
Cleaned up demo.py
Updated docs in demo
Added L1BinaryResults.  Now probit and logit results are handled like mnlogit, viz. nan retured for parameters that are zero (hence more than just covariance is important to statistics)
Got rid of unused arguments in model.py:LikelihoodModel.fit()
Got rid of bad line in demo
Former code assumed correct input of alpha...now convert to numpy array of correct size
added short_demo.py, which would work well in the html docs
Corrected docstring
Modified short_demo to properly calculate and display un-regularized results
Added sklearn_compare to compare results with sklearn
Got sklearn_compare.py working with the Spector dataset
Added capability to handle anes96 datasets
Made sklearn_compare work from command line by putting plt.show() in
Updated README.txt