ccshan
2019-2-26 14:28:34

About STAN: I’m making a Perl program that invokes a C++ program and produces output lines like “0.1 1 [0.3456789]\t0.2 2 [0.3579468]\t…\n”, and I hope that this Perl program can be run on the benchmarking machine and the result can be plotted as an additional shaded curve in each of the two GMM plots. Is explaining my hope to Rajan the best way?


ccshan
2019-2-27 04:28:34
hakaru-benchmarks/other/cmdstan-2.18.1$ ./classify.px ../../input/GmmGibbs/50-10000
0.144618816 1 [0.334573708041284]	0.194780005 2 [0.334573708041284]	0.245007667 3 [0.334573708041284]	0.339529824 4 [0.334573708041284]	0.542921539 5 [0.340717518019212]	1.348796118 6 [0.362036387441262]	1.552554744 7 [0.366009231556548]	1.96047843 8 [0.359882848803347]	2.36283178 9 [0.334705903865742]	3.171815656 10 [0.336265615293843]	3.371721916 11 [0.336265615293843]	4.999995917 12 [0.325705407142944]	11.53067292 13 [0.366146916183305]
0.100199022 1 [0.390780990868532]	0.160230333 2 [0.390780990868532]	0.212472966 3 [0.390780990868532]	0.306436262 4 [0.390780990868532]	0.408168026 5 [0.390780990868532]	0.844111236 6 [0.394123997658694]	1.667271168 7 [0.387300211646692]	2.082385746 8 [0.387305043648129]	2.496365792 9 [0.391142196079514]	2.703225667 10 [0.391684340827677]	2.910413324 11 [0.389221629512538]	3.114503184 12 [0.389221629512538]	4.797163437 13 [0.389957927194145]	5.652191731 14 [0.379569205684364]	6.087251381 15 [0.380775647770901]	6.497401548 16 [0.386687255106871]	6.706512095 17 [0.386687255106871]	8.403082983 18 [0.384304870690991]	10.356508298 19 [0.385471476948738]	11.190468302 20 [0.383865857749553]
0.099301379 1 [0.31091910206199]	0.1502704 2 [0.31091910206199]	0.203181427 3 [0.31091910206199]	0.288944461 4 [0.31091910206199]	0.493676206 5 [0.281199475888453]	0.714457885 6 [0.281199475888453]	1.544063877 7 [0.295079725030588]	1.958281195 8 [0.295367930060152]	2.840082085 9 [0.316925764293661]	3.277618694 10 [0.317262047975641]	3.713261721 11 [0.340280176384404]	7.183228198 12 [0.339672536489752]	7.588425591 13 [0.335004665815516]	7.995277602 14 [0.335877586779532]	8.198683652 15 [0.340994796177558]	8.602498491 16 [0.340265820489363]	8.811674381 17 [0.33203863892334]	8.912671438 18 [0.33203863892334]	10.543129127 19 [0.331265326178843]