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| author | Ben Green <ben@SEASITs-MacBook-Pro.local> | 2015-06-25 23:56:26 -0400 |
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| committer | Ben Green <ben@SEASITs-MacBook-Pro.local> | 2015-06-25 23:56:26 -0400 |
| commit | 7167a81cfb8b872dd1547e5a8669004b191417db (patch) | |
| tree | dd160b9a7f438837118d8ca9fe83ae6c35a0d71a /experiments/ml3.c | |
| parent | c8fc620dda6096932707566dc8f20a3e65cb26b0 (diff) | |
| download | criminal_cascades-7167a81cfb8b872dd1547e5a8669004b191417db.tar.gz | |
Worked on process to generate cascades in R, recover them in ml2, and
compare true/recovered. Results look good: ml2 finds close-to-actual
parameters and gets ~60% of the infectors right. I will check how many
recovery gets in the top 2 or 3 infectors.
Diffstat (limited to 'experiments/ml3.c')
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