Commit Graph

63 Commits

Author SHA1 Message Date
ade61980b4 Newly trained net 2021-09-26 23:14:25 +02:00
98aaec1e22 Train using gradient 2021-09-26 23:13:43 +02:00
06a0461e93 Better pruning of tags and recommenders 2021-09-26 16:51:17 +02:00
9d03b37e16 New trained net 2021-09-26 15:53:41 +02:00
f3240147d5 training now terminates earlier when stagnating (can be disabled via
flag)
2021-09-26 15:52:54 +02:00
787404c134 Newly trained net 2021-09-26 14:31:24 +02:00
9126bbcc14 Stronger linear seperation 2021-09-26 14:31:00 +02:00
147a78302f New trained net 2021-09-26 12:46:58 +02:00
f1c887275c removeUselessSeries and stronger linear seperation 2021-09-26 12:46:30 +02:00
2bb2e15b73 Tweaks to recommendation-display 2021-09-25 20:15:14 +02:00
31cc8ce31c New trained net 2021-09-25 00:54:59 +02:00
92d1b33ee3 Made recommendation-graph way better; tweaks to bounds-loss 2021-09-25 00:54:09 +02:00
32bac42c83 Newly trained net 2021-09-24 23:40:55 +02:00
6ed1d41e2c Added new tag-based version of recommendation-visualizer and added a
boundary-loss
2021-09-24 23:39:55 +02:00
5a8d76bc3d Even better trained net 2021-09-24 19:25:54 +02:00
12fd3dffc9 New trained net 2021-09-24 19:21:31 +02:00
212a30298a Stronger regression-loss; more parameter-freedome 2021-09-24 19:16:29 +02:00
22ca039502 New trained net 2021-09-24 19:14:21 +02:00
5a4e48d86c Added a regression-loss (push weights towards 1) 2021-09-24 19:12:09 +02:00
9d6f37af45 Mostly refactoring 2021-09-24 18:25:37 +02:00
e36542dd32 New trained net 2021-09-24 17:54:14 +02:00
d5a6aadbb5 We now display se instead of std in the web-view; smol changes to the
penalties while training
2021-09-24 17:50:00 +02:00
795c0b5d18 New trained net 2021-09-24 17:35:59 +02:00
f48fb12f0a No more stability-metric for the nn (but se instead) 2021-09-24 17:35:32 +02:00
ec8d253f3a Newly trained net 2021-09-24 17:23:42 +02:00
1521f20340 Smol tweaks 2021-09-24 17:23:34 +02:00
292951c50c Newly trained neuralWeights 2021-09-24 17:14:25 +02:00
9318811d8a Small tweaks to the scroring-algo and less calls to calibre when
training
2021-09-24 17:13:36 +02:00
54f82c024e Newly trained weights 2021-09-24 16:33:02 +02:00
fb3a5592df Tweaked training 2021-09-24 16:32:43 +02:00
cf85995386 Fixed json-syntax 2021-09-24 16:16:02 +02:00
cb0ad906eb Implemented Neural Net + training 2021-09-24 16:13:55 +02:00
0231d97a42 Switched to a simpler bayesian model for score generation 2021-09-24 14:49:59 +02:00
4fa3a57cc7 Remove 'useless' read books from recommendation-graph (far away from all
unread books)
2021-09-08 22:54:49 +02:00
c31a3d78e2 Allow keeping useless recommenders (args) 2021-09-06 16:21:01 +02:00
60067ed263 Remove unused recommenders when recommending and allow keeping topLists
via args
2021-09-06 16:17:54 +02:00
255502cdd2 Added support for bigger Top-Lists 2021-09-03 21:21:07 +02:00
9c4722aa8f Delta 2021-07-04 20:44:10 +02:00
d537f878b7 Better Stuff 2021-07-04 20:38:20 +02:00
0f1255f614 Buffed TopLists a bit 2021-07-04 20:25:26 +02:00
be0afb59c7 Fined tuned wheight of TopLists and Tags 2021-07-04 20:08:25 +02:00
486a8fb88f Tweaked the scoring (Feedback-Nodes get boosted by 1/4 of the std when
calculating scores for unread books)
2021-06-25 13:14:08 +02:00
a188e923e2 Tweaked the Algo (higher penalty for low number of feedbacks) 2021-06-23 18:50:26 +02:00
cc6606f468 Better Tag-Pruning (keep more good tags) 2021-06-23 15:45:32 +02:00
a8d9f96e70 Mark center of analysis and include topLists in analysis 2021-06-22 15:41:24 +02:00
07205f37c0 Tweaking to the visual apperance 2021-06-16 18:01:28 +02:00
ff5c1ae139 Added remove-egde cli-argument 2021-06-16 17:35:40 +02:00
532357b186 number and depth are no longer required arguments 2021-06-16 17:15:53 +02:00
03cb19819b Shebang now points to .venv-python 2021-06-16 17:12:50 +02:00
d20ada2d60 Executable Bit for caliGraph.py 2021-06-16 17:11:31 +02:00