[ENH] Adding updated to_numpy export and then evaluation of structure learning algorithms by comparing two graphs

[adam2392]

Fixes #11 Fixes #18 Fixes #23

Changes proposed in this pull request:

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Codecov Report

Merging #26 (bcb11d8) into main (b0bc670) will increase coverage by 2.33%. The diff coverage is 81.29%.

@@            Coverage Diff             @@
##             main      #26      +/-   ##
==========================================
+ Coverage   81.88%   84.22%   +2.33%     
==========================================
  Files          37       51      +14     
  Lines        3158     3809     +651     
==========================================
+ Hits         2586     3208     +622     
- Misses        572      601      +29     

Impacted Files	Coverage Δ
causal_networkx/tscgm.py	0.00% <0.00%> (ø)
causal_networkx/tsgraph.py	0.00% <0.00%> (ø)
causal_networkx/discovery/pcalg.py	59.87% <6.25%> (-3.40%)	:arrow_down:
causal_networkx/graphs/admg.py	59.25% <59.25%> (ø)
causal_networkx/algorithms/convert.py	63.63% <63.63%> (ø)
causal_networkx/graphs/cpdag.py	64.17% <64.17%> (ø)
causal_networkx/algorithms/pag.py	95.85% <66.66%> (-0.55%)	:arrow_down:
causal_networkx/discovery/classes.py	79.72% <66.66%> (+0.27%)	:arrow_up:
causal_networkx/io.py	40.25% <71.42%> (+13.40%)	:arrow_up:
causal_networkx/graphs/base.py	72.85% <72.85%> (ø)
... and 44 more

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