PPPLDeepLearning / plasma-python

PPPL deep learning disruption prediction package
http://tigress-web.princeton.edu/~alexeys/docs-web/html/
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Merge TCN, noise resiliency option, addition of more DIII-D shots, etc. from forked FRNN #48

Closed felker closed 4 years ago

felker commented 4 years ago

Mostly located on @ge-dong's forked version of the code.

(base) ➜  shot_lists wc -l d3d_clear*
  10000 d3d_clear_10000.txt
   1000 d3d_clear_1000.txt
    100 d3d_clear_100.txt
  18122 d3d_clear_data_avail.txt
  27311 d3d_clear_since_2016.txt
  74248 d3d_clear.txt
 130781 total
(base) ➜  shot_lists head -n1 d3d_clear*
==> d3d_clear_10000.txt <==
143800   -1.000000

==> d3d_clear_1000.txt <==
165500   -1.000000

==> d3d_clear_100.txt <==
167475   -1.000000

==> d3d_clear_data_avail.txt <==
125502   -1.000000

==> d3d_clear_since_2016.txt <==
125502   -1.000000

==> d3d_clear.txt <==
40560   -1.000000
(base) ➜  shot_lists tail -n1 d3d_clear*
==> d3d_clear_10000.txt <==
168554   -1.000000

==> d3d_clear_1000.txt <==
168554   -1.000000

==> d3d_clear_100.txt <==
168554   -1.000000

==> d3d_clear_data_avail.txt <==
168554   -1.000000

==> d3d_clear_since_2016.txt <==
180844   -1.000000

==> d3d_clear.txt <==
168554   -1.000000
felker commented 4 years ago

Closed via #50 and #49.