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[[regression.ez code]]
 
[[regression.ez code]]
  
−
[[Execution of the code]]
+
If you don't have an NVIDIA GPGPU card on your machine, please compile with:
 +
$ easena ./regression.ez -gp ; make
 +
and launched with:
 +
$ ./regression --nbCPUThreads 20
 +
 
 +
If you have a multi-core CPU, EASEA parallelizes will parallelize over several threads using OpenMP. In order to use up to 20 threads (depending on the number of cores of your CPU), you can launch the program with:
 +
$ ./regression --nbCPUThreads 20
 +
 
 +
The objective is to find back the
 +
 
 +
Here is a good run with seed 2
 +
 
 +
<pre>
 +
collet@biplan:~/regression$ easena ./regression.ez -gp ; make ;./regression --nbCPUThreads 20 --plotStats 0 --seed 2
 +
EASENA version: 2.19 (RE)
 +
Compiled with GP template
 +
 
 +
CONGRATULATIONS !!!
 +
Target file(s) generation succeeded without warnings.
 +
You can now type "make" to compile your project.
 +
g++ -fopenmp -O2 -g -Wall -fmessage-length=0 -I/biolo/easea/easea//libeasea/include -I/usr/local/cuda/common/inc/ -I/usr/local/cuda/include/  -c -o regression.o regression.cpp
 +
g++ -fopenmp -O2 -g -Wall -fmessage-length=0 -I/biolo/easea/easea//libeasea/include -I/usr/local/cuda/common/inc/ -I/usr/local/cuda/include/  -c -o regressionIndividual.o regressionIndividual.cpp
 +
g++ -o regression regression.o regressionIndividual.o  -g /biolo/easea/easea//libeasea//libeasea.a -lpthread -fopenmp
 +
------------------------------------------------------------------------------------------------
 +
|GENER.|    ELAPSED    |    PLANNED    |    ACTUAL    |BEST INDIVIDUAL|  AVG  | WORST | STAND |
 +
|NUMBER|    TIME      | EVALUATION NB | EVALUATION NB |    FITNESS    |FITNESS|FITNESS|  DEV  |
 +
------------------------------------------------------------------------------------------------
 +
      0         0.074s           50000           48604 3.476540039e+03 1.5e+04 1.2e+06 2.5e+08
 +
      1         0.348s         100000           97721 2.629287354e+03 4.0e+03 3.6e+02 1.2e+04
 +
      2         0.663s         150000         146667 2.627041016e+03 3.6e+03 2.0e+02 1.7e+04
 +
      3         1.004s         200000         195655 2.598434570e+03 3.5e+03 1.4e+02 8.5e+03
 +
      4         1.449s         250000         244934 2.597528564e+03 3.4e+03 3.0e+02 7.8e+03
 +
      5         2.075s         300000         294291 2.412631348e+03 3.1e+03 4.5e+02 2.5e+04
 +
      6         2.628s         350000         343754 2.256219971e+03 2.9e+03 4.7e+02 3.0e+04
 +
      7         3.356s         400000         393360 1.988074951e+03 2.7e+03 2.8e+02 8.1e+03
 +
      8         4.265s         450000         443077 1.972303467e+03 2.6e+03 1.5e+02 4.9e+03
 +
      9         5.178s         500000         492790 1.603686401e+03 2.6e+03 1.8e+02 5.9e+03
 +
    10         6.108s         550000         542498 1.317219116e+03 2.5e+03 2.4e+02 7.3e+03
 +
    11         6.995s         600000         592211 1.603133087e+02 2.4e+03 3.2e+02 1.5e+04
 +
    12         7.852s         650000         641891 1.603133087e+02 2.2e+03 3.6e+02 1.0e+04
 +
    13         8.809s         700000         691607 1.327802887e+02 2.0e+03 4.1e+02 1.5e+04
 +
    14         9.806s         750000         741346 8.705255127e+01 1.8e+03 4.8e+02 1.5e+04
 +
    15         10.866s         800000         791084 7.755667114e+01 1.5e+03 5.4e+02 1.0e+04
 +
    16         11.848s         850000         840789 8.454118729e+00 1.2e+03 7.3e+02 1.5e+04
 +
    17         12.857s         900000         890480 8.454118729e+00 9.6e+02 8.1e+02 1.5e+04
 +
    18         14.025s         950000         940150 8.454118729e+00 7.4e+02 8.1e+02 1.5e+04
 +
    19         15.204s         1000000         989832 6.428004265e+00 5.5e+02 7.8e+02 1.1e+04
 +
    20         16.360s         1050000         1039494 6.253423691e+00 4.3e+02 7.7e+02 3.9e+04
 +
    21         17.519s         1100000         1089163 6.253423691e+00 3.6e+02 7.5e+02 1.5e+04
 +
    22         18.666s         1150000         1138833 6.231546402e+00 3.1e+02 7.4e+02 1.5e+04
 +
    23         19.824s         1200000         1188477 6.231546402e+00 2.9e+02 7.6e+02 1.5e+04
 +
    24         20.880s         1250000         1238179 6.231546402e+00 2.8e+02 8.0e+02 1.6e+04
 +
    25         21.847s         1300000         1287843 6.230583191e+00 2.8e+02 8.3e+02 1.6e+04
 +
    26         22.852s         1350000         1337423 6.230583191e+00 2.6e+02 8.0e+02 1.9e+04
 +
    27         23.923s         1400000         1387031 6.230583191e+00 2.4e+02 7.7e+02 1.5e+04
 +
    28         25.038s         1450000         1436694 6.230583191e+00 2.3e+02 7.4e+02 1.5e+04
 +
    29         26.115s         1500000         1486339 6.230583191e+00 2.3e+02 7.4e+02 1.7e+04
 +
    30         27.165s         1550000         1535970 1.726973772e+00 2.3e+02 7.4e+02 1.4e+04
 +
    31         28.218s         1600000         1585632 1.726973772e+00 2.4e+02 7.4e+02 1.5e+04
 +
    32         29.239s         1650000         1635278 1.726973772e+00 2.3e+02 7.5e+02 2.2e+04
 +
    33         30.265s         1700000         1684903 1.726973772e+00 2.4e+02 7.5e+02 1.8e+04
 +
    34         31.286s         1750000         1734602 1.716903687e+00 2.4e+02 7.5e+02 1.5e+04
 +
    35         32.302s         1800000         1784250 1.716903687e+00 2.6e+02 7.9e+02 1.6e+04
 +
    36         33.335s         1850000         1833942 1.704545975e+00 2.7e+02 8.2e+02 2.2e+04
 +
    37         34.422s         1900000         1883652 1.136579871e+00 2.4e+02 7.7e+02 1.3e+04
 +
    38         35.510s         1950000         1933347 1.136579871e+00 2.3e+02 7.7e+02 2.1e+04
 +
    39         36.628s         2000000         1983073 1.121906757e+00 2.3e+02 7.6e+02 2.0e+04
 +
    40         37.740s         2050000         2032784 1.121906757e+00 2.3e+02 7.7e+02 3.0e+04
 +
    41         38.842s         2100000         2082499 1.121906757e+00 2.2e+02 7.5e+02 2.5e+04
 +
    42         39.940s         2150000         2132195 1.114099026e+00 2.2e+02 8.0e+02 6.1e+04
 +
    43         41.037s         2200000         2181887 1.114099026e+00 2.2e+02 7.6e+02 2.1e+04
 +
    44         42.178s         2250000         2231600 1.114099026e+00 2.2e+02 7.4e+02 1.6e+04
 +
    45         43.340s         2300000         2281319 1.114099026e+00 2.2e+02 7.4e+02 1.9e+04
 +
    46         44.489s         2350000         2331011 1.114099026e+00 2.2e+02 7.5e+02 2.1e+04
 +
    47         45.593s         2400000         2380697 1.114099026e+00 2.2e+02 7.4e+02 1.5e+04
 +
    48         46.736s         2450000         2430423 1.114099026e+00 2.2e+02 7.6e+02 3.6e+04
 +
    49         47.903s         2500000         2480129 1.114099026e+00 2.1e+02 7.3e+02 1.5e+04
 +
    50         49.079s         2550000         2529836 1.114099026e+00 2.2e+02 7.4e+02 2.0e+04
 +
    51         50.260s         2600000         2579537 1.114099026e+00 2.2e+02 7.5e+02 2.0e+04
 +
    52         51.449s         2650000         2629255 2.936421037e-01 2.2e+02 7.4e+02 3.1e+04
 +
    53         52.645s         2700000         2678981 2.936421037e-01 2.2e+02 7.5e+02 2.0e+04
 +
    54         53.861s         2750000         2728678 2.936421037e-01 2.2e+02 7.8e+02 3.6e+04
 +
    55         55.088s         2800000         2778398 2.936421037e-01 2.2e+02 7.4e+02 1.5e+04
 +
    56         56.319s         2850000         2828100 2.936421037e-01 2.2e+02 7.5e+02 2.1e+04
 +
    57         57.481s         2900000         2877787 2.936421037e-01 2.2e+02 7.5e+02 3.0e+04
 +
    58         58.653s         2950000         2927521 2.936421037e-01 2.2e+02 7.3e+02 1.5e+04
 +
    59         59.855s         3000000         2977250 2.936421037e-01 2.2e+02 7.5e+02 3.0e+04
 +
    60         61.075s         3050000         3026988 2.936421037e-01 2.2e+02 7.5e+02 1.5e+04
 +
Time Over
 +
Time Limit was 60 seconds
 +
EASEA LOG [INFO]: Seed: 2
 +
EASEA LOG [INFO]: Best fitness: 0.293642
 +
EASEA LOG [INFO]: Elapsed time: 61.0758
 +
Now serializing individual (((sin((x)/(0.333335)))*(((0.632737)/(0.175179))+((0.322471)/(0.831035))))+((((0.857195)*(0.361795))*((x)*(x)))*(0.322471)))
 +
----------
 +
y=(((sin((x)/(0.333335)))*(((0.632737)/(0.175179))+((0.322471)/(0.831035))))+((((0.857195)*(0.361795))*((x)*(x)))*(0.322471)))
 +
----------
 +
collet@biplan:~/regression$
 +
</pre>

Version du 10 avril 2021 à 04:57

regression.ez code

If you don't have an NVIDIA GPGPU card on your machine, please compile with: 

$ easena ./regression.ez -gp ; make

and launched with: 

$ ./regression --nbCPUThreads 20

If you have a multi-core CPU, EASEA parallelizes will parallelize over several threads using OpenMP. In order to use up to 20 threads (depending on the number of cores of your CPU), you can launch the program with: 

$ ./regression --nbCPUThreads 20

The objective is to find back the

Here is a good run with seed 2 

collet@biplan:~/regression$ easena ./regression.ez -gp ; make ;./regression --nbCPUThreads 20 --plotStats 0 --seed 2
EASENA version: 2.19 (RE)
Compiled with GP template

CONGRATULATIONS !!!
Target file(s) generation succeeded without warnings.
You can now type "make" to compile your project.
g++ -fopenmp -O2 -g -Wall -fmessage-length=0 -I/biolo/easea/easea//libeasea/include -I/usr/local/cuda/common/inc/ -I/usr/local/cuda/include/   -c -o regression.o regression.cpp
g++ -fopenmp -O2 -g -Wall -fmessage-length=0 -I/biolo/easea/easea//libeasea/include -I/usr/local/cuda/common/inc/ -I/usr/local/cuda/include/   -c -o regressionIndividual.o regressionIndividual.cpp
g++ -o regression regression.o regressionIndividual.o   -g /biolo/easea/easea//libeasea//libeasea.a -lpthread -fopenmp
------------------------------------------------------------------------------------------------
|GENER.|    ELAPSED    |    PLANNED    |     ACTUAL    |BEST INDIVIDUAL|  AVG  | WORST | STAND |
|NUMBER|     TIME      | EVALUATION NB | EVALUATION NB |    FITNESS    |FITNESS|FITNESS|  DEV  |
------------------------------------------------------------------------------------------------
      0	         0.074s	          50000	          48604	3.476540039e+03	1.5e+04	1.2e+06	2.5e+08
      1	         0.348s	         100000	          97721	2.629287354e+03	4.0e+03	3.6e+02	1.2e+04
      2	         0.663s	         150000	         146667	2.627041016e+03	3.6e+03	2.0e+02	1.7e+04
      3	         1.004s	         200000	         195655	2.598434570e+03	3.5e+03	1.4e+02	8.5e+03
      4	         1.449s	         250000	         244934	2.597528564e+03	3.4e+03	3.0e+02	7.8e+03
      5	         2.075s	         300000	         294291	2.412631348e+03	3.1e+03	4.5e+02	2.5e+04
      6	         2.628s	         350000	         343754	2.256219971e+03	2.9e+03	4.7e+02	3.0e+04
      7	         3.356s	         400000	         393360	1.988074951e+03	2.7e+03	2.8e+02	8.1e+03
      8	         4.265s	         450000	         443077	1.972303467e+03	2.6e+03	1.5e+02	4.9e+03
      9	         5.178s	         500000	         492790	1.603686401e+03	2.6e+03	1.8e+02	5.9e+03
     10	         6.108s	         550000	         542498	1.317219116e+03	2.5e+03	2.4e+02	7.3e+03
     11	         6.995s	         600000	         592211	1.603133087e+02	2.4e+03	3.2e+02	1.5e+04
     12	         7.852s	         650000	         641891	1.603133087e+02	2.2e+03	3.6e+02	1.0e+04
     13	         8.809s	         700000	         691607	1.327802887e+02	2.0e+03	4.1e+02	1.5e+04
     14	         9.806s	         750000	         741346	8.705255127e+01	1.8e+03	4.8e+02	1.5e+04
     15	        10.866s	         800000	         791084	7.755667114e+01	1.5e+03	5.4e+02	1.0e+04
     16	        11.848s	         850000	         840789	8.454118729e+00	1.2e+03	7.3e+02	1.5e+04
     17	        12.857s	         900000	         890480	8.454118729e+00	9.6e+02	8.1e+02	1.5e+04
     18	        14.025s	         950000	         940150	8.454118729e+00	7.4e+02	8.1e+02	1.5e+04
     19	        15.204s	        1000000	         989832	6.428004265e+00	5.5e+02	7.8e+02	1.1e+04
     20	        16.360s	        1050000	        1039494	6.253423691e+00	4.3e+02	7.7e+02	3.9e+04
     21	        17.519s	        1100000	        1089163	6.253423691e+00	3.6e+02	7.5e+02	1.5e+04
     22	        18.666s	        1150000	        1138833	6.231546402e+00	3.1e+02	7.4e+02	1.5e+04
     23	        19.824s	        1200000	        1188477	6.231546402e+00	2.9e+02	7.6e+02	1.5e+04
     24	        20.880s	        1250000	        1238179	6.231546402e+00	2.8e+02	8.0e+02	1.6e+04
     25	        21.847s	        1300000	        1287843	6.230583191e+00	2.8e+02	8.3e+02	1.6e+04
     26	        22.852s	        1350000	        1337423	6.230583191e+00	2.6e+02	8.0e+02	1.9e+04
     27	        23.923s	        1400000	        1387031	6.230583191e+00	2.4e+02	7.7e+02	1.5e+04
     28	        25.038s	        1450000	        1436694	6.230583191e+00	2.3e+02	7.4e+02	1.5e+04
     29	        26.115s	        1500000	        1486339	6.230583191e+00	2.3e+02	7.4e+02	1.7e+04
     30	        27.165s	        1550000	        1535970	1.726973772e+00	2.3e+02	7.4e+02	1.4e+04
     31	        28.218s	        1600000	        1585632	1.726973772e+00	2.4e+02	7.4e+02	1.5e+04
     32	        29.239s	        1650000	        1635278	1.726973772e+00	2.3e+02	7.5e+02	2.2e+04
     33	        30.265s	        1700000	        1684903	1.726973772e+00	2.4e+02	7.5e+02	1.8e+04
     34	        31.286s	        1750000	        1734602	1.716903687e+00	2.4e+02	7.5e+02	1.5e+04
     35	        32.302s	        1800000	        1784250	1.716903687e+00	2.6e+02	7.9e+02	1.6e+04
     36	        33.335s	        1850000	        1833942	1.704545975e+00	2.7e+02	8.2e+02	2.2e+04
     37	        34.422s	        1900000	        1883652	1.136579871e+00	2.4e+02	7.7e+02	1.3e+04
     38	        35.510s	        1950000	        1933347	1.136579871e+00	2.3e+02	7.7e+02	2.1e+04
     39	        36.628s	        2000000	        1983073	1.121906757e+00	2.3e+02	7.6e+02	2.0e+04
     40	        37.740s	        2050000	        2032784	1.121906757e+00	2.3e+02	7.7e+02	3.0e+04
     41	        38.842s	        2100000	        2082499	1.121906757e+00	2.2e+02	7.5e+02	2.5e+04
     42	        39.940s	        2150000	        2132195	1.114099026e+00	2.2e+02	8.0e+02	6.1e+04
     43	        41.037s	        2200000	        2181887	1.114099026e+00	2.2e+02	7.6e+02	2.1e+04
     44	        42.178s	        2250000	        2231600	1.114099026e+00	2.2e+02	7.4e+02	1.6e+04
     45	        43.340s	        2300000	        2281319	1.114099026e+00	2.2e+02	7.4e+02	1.9e+04
     46	        44.489s	        2350000	        2331011	1.114099026e+00	2.2e+02	7.5e+02	2.1e+04
     47	        45.593s	        2400000	        2380697	1.114099026e+00	2.2e+02	7.4e+02	1.5e+04
     48	        46.736s	        2450000	        2430423	1.114099026e+00	2.2e+02	7.6e+02	3.6e+04
     49	        47.903s	        2500000	        2480129	1.114099026e+00	2.1e+02	7.3e+02	1.5e+04
     50	        49.079s	        2550000	        2529836	1.114099026e+00	2.2e+02	7.4e+02	2.0e+04
     51	        50.260s	        2600000	        2579537	1.114099026e+00	2.2e+02	7.5e+02	2.0e+04
     52	        51.449s	        2650000	        2629255	2.936421037e-01	2.2e+02	7.4e+02	3.1e+04
     53	        52.645s	        2700000	        2678981	2.936421037e-01	2.2e+02	7.5e+02	2.0e+04
     54	        53.861s	        2750000	        2728678	2.936421037e-01	2.2e+02	7.8e+02	3.6e+04
     55	        55.088s	        2800000	        2778398	2.936421037e-01	2.2e+02	7.4e+02	1.5e+04
     56	        56.319s	        2850000	        2828100	2.936421037e-01	2.2e+02	7.5e+02	2.1e+04
     57	        57.481s	        2900000	        2877787	2.936421037e-01	2.2e+02	7.5e+02	3.0e+04
     58	        58.653s	        2950000	        2927521	2.936421037e-01	2.2e+02	7.3e+02	1.5e+04
     59	        59.855s	        3000000	        2977250	2.936421037e-01	2.2e+02	7.5e+02	3.0e+04
     60	        61.075s	        3050000	        3026988	2.936421037e-01	2.2e+02	7.5e+02	1.5e+04
Time Over
Time Limit was 60 seconds
EASEA LOG [INFO]: Seed: 2
EASEA LOG [INFO]: Best fitness: 0.293642
EASEA LOG [INFO]: Elapsed time: 61.0758
Now serializing individual (((sin((x)/(0.333335)))*(((0.632737)/(0.175179))+((0.322471)/(0.831035))))+((((0.857195)*(0.361795))*((x)*(x)))*(0.322471)))
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y=(((sin((x)/(0.333335)))*(((0.632737)/(0.175179))+((0.322471)/(0.831035))))+((((0.857195)*(0.361795))*((x)*(x)))*(0.322471)))
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collet@biplan:~/regression$
Récupérée de « http:///https//easea.unistra.fr/index.php?title=Non-linear_regression_using_Genetic_Programming&oldid=2331 »