Install https://github.com/sfalkner/SpySMAC
command:
../../venv-smac3/bin/python ../SMAC3/scripts/smac --scenario scenario-5.txt --verbose_level DEBUG
failed, as all runs are timeouts?!
2018-06-11 07:57:44:DEBUG:smac.tae.execute_ta_run_old.ExecuteTARunOld:Stderr:
2018-06-11 07:57:44:DEBUG:smac.tae.execute_ta_run_old.ExecuteTARunOld:Return: Status: <StatusType.TIMEOUT: 2>, cost: 9000.000000, time: 900.000000, additional: {}
2018-06-11 07:57:44:DEBUG:smac.intensification.intensification.Intensifier:Add run of challenger
2018-06-11 07:57:44:DEBUG:smac.intensification.intensification.Intensifier:Budget exhausted; Return incumbent
2018-06-11 07:57:44:DEBUG:root:Remaining budget: -57.787612 (wallclock), inf (ta costs), 386.000000 (target runs)
2018-06-11 07:57:44:DEBUG:smac.stats.stats.Stats:Saving stats to smac3-output_2018-06-11_00:56:46_230015/run_1/stats.json
2018-06-11 07:57:44:INFO:smac.stats.stats.Stats:##########################################################
2018-06-11 07:57:44:INFO:smac.stats.stats.Stats:Statistics:
2018-06-11 07:57:44:INFO:smac.stats.stats.Stats:#Incumbent changed: 0
2018-06-11 07:57:44:INFO:smac.stats.stats.Stats:#Target algorithm runs: 114 / 500.0
2018-06-11 07:57:44:INFO:smac.stats.stats.Stats:Used wallclock time: 25257.80 / 25200.00 sec
2018-06-11 07:57:44:INFO:smac.stats.stats.Stats:Used target algorithm runtime: 122222234610.00 / inf sec
2018-06-11 07:57:44:DEBUG:smac.stats.stats.Stats:Debug Statistics:
2018-06-11 07:57:44:DEBUG:smac.stats.stats.Stats:Average Configurations per Intensify: 2.00
2018-06-11 07:57:44:DEBUG:smac.stats.stats.Stats:Exponential Moving Average of Configurations per Intensify: 2.00
2018-06-11 07:57:44:INFO:smac.stats.stats.Stats:##########################################################
2018-06-11 07:57:44:INFO:smac.facade.smac_facade.SMAC:Final Incumbent: Configuration:
-A, Value: 10
-alpha, Value: 0.6
-p-max, Value: 1000
data/myciel3.col data/myciel4.col data/myciel5.col data/myciel6.col
data/DSJC125.1.col data/DSJC125.5.col data/DSJC250.1.col data/DSJC250.5.col data/DSJR500.1.col data/DSJR500.1c.col data/DSJR500.5.col
data/le450_15a.col data/le450_15b.col data/le450_25a.col data/le450_25b.col data/le450_5a.col data/le450_5b.col
data/flat1000_50_0.col data/flat1000_60_0.col data/flat1000_76_0.col
data/DSJC125.1.col 6 (5) data/DSJC125.5.col 18 (17) data/flat1000_50_0.col 100+ data/flat1000_60_0.col 100+ data/flat300_20_0.col 62 (61) data/flat300_28_0.col 53 (52) data/le450_15b.col 27 (26) data/le450_25b.col 33 (32)
data/DSJC125.1.col 6 data/DSJC125.5.col 25 data/DSJC250.1.col 13 data/DSJC250.5.col 48 data/DSJR500.1.col 14 data/DSJR500.1c.col 100+ data/DSJR500.5.col 100+ data/flat1000_50_0.col 100+ data/flat1000_60_0.col 100+ data/flat1000_76_0.col 100+ data/le450_15a.col 28 data/le450_15b.col 27 data/le450_25a.col 33 data/le450_25b.col 33 data/le450_5a.col 13 data/le450_5b.col 15 data/myciel3.col 4 data/myciel4.col 5 data/myciel5.col 5 data/myciel6.col 6
random graphs: dsjcX.Y flat graphs: flatX.Y Leighton graphs: leX.Y two families of random geometrical graphs: dsjrX.Y and rX.Y
.....................................................................................................................................................
React
Typescript
Django
Laravel
Facebook
Microsoft
Google
Alibaba
D3
Tencent