bug fix: changed np.min to min
BUG FIX: unscaled dual residual norm was returned, did not impact on convergence but on adaptive rho
rho update function, initial values for Z and U in graph lasso, kwargs in fit
crossval comparisons for warm start gain, fista implementation to compare ADMM
do not update rho if mu is None
add the list of rho updates to the return attributes
changed random_state consistency + result as list of dicts
from bootstrap to shufflesplit in crossvalidation
added comment on why iterating on tree generator is necessary
added alpha_max
added Hessian
relative to alpha_max for cross-validation
relative to alpha_max for cross-validation
merged in master
clean code from comments
made default base_estimator more explicit
pandas compatible output in run_analysis
revisions in cross-validation
influence of rho in ADMM
creation