mid cpt... should probably redo anyway
CPT sampler appears to be working (single_sample sans evidence)
further unpolished work on bn
refactoring
mid writing sprinkler test. CPT = [0,0]??
fixed int-division bug
update_exact evidence and many_samples
added scipy
added matplotlib to requirements
test_sprinkler using un-normalized CPTs
GibbsSampler#get_single_sample() does not resample evidence nodes
BUG FIX: avoiding `+=` and `*=` operations on tables. 1000-sample
sprinkler example
very simple plot in graphs.py
bn tweaks; fixed Alternator generator; started pk
successful switching times plot
surprising switching times
wrote node_priors; untested
evidence_generators using actual generator functions
Merge branch 'stability_fatigue' into dynamic_sampling
first attempts at messing with stability prior