Offspring can't be generated.

[Penguin0321]

I ran all 3 ipynb examples but they jamed in the last step. When I set verbose=2 in sr.fit() to get more details, it seems the first offspring is not generated even minutes later. Do you have any ideas?

[Penguin0321]

here is the output: ############################################################################################### Generation 0:00:00 - On average: 00:00:00 ± 00:00:00 - Total: 00:00:00 - To completion: Unknown ############################################################################################### audi_checkpoint: starting generation 1/500 Offsprings generated: 0/300 (816 s, 0.0 /s)

[davideferrari92]

That's unusual. I'll have a look into this. Did you use the default configuration of the notebook or changed it? Also how many CPU cores did you give the training?

On Thu, 9 Nov 2023, 06:34 Probe, @.***> wrote:

I ran all 3 ipynb examples but they jamed in the last step. When I set verbose=2 in sr.fit() to get more details, it seems the first offspring is not generated even minutes later. Do you have any ideas?

— Reply to this email directly, view it on GitHub https://github.com/davideferrari92/multiobjective_symbolic_regression/issues/1, or unsubscribe https://github.com/notifications/unsubscribe-auth/AAQIFDKTH5YDWG5YQM52OYLYDR2OBAVCNFSM6AAAAAA7EBEC3OVHI2DSMVQWIX3LMV43ASLTON2WKOZRHE4DIOJSHE4DGNI . You are receiving this because you are subscribed to this thread.Message ID: @.*** com>

[Penguin0321]

I didnt change anything in each ipynb file (except verbose) or jupyter-lab. Does the parameter "n_jobs" stand for CPU cores I give? I left it as -1. When the first offspring is generating, the CPU usage on task manager is nearly 0.

[davideferrari92]

Can you give me more info about the Python version and the packages you have installed?

[davideferrari92]

In general, try to execute creating a new python environment just for this test because I also have problems with environments that I used for other applications. When I create a fresh one with python -m venv venv and then pip install -r requirements.txt when it worked fine.

Also make sure to have pulled the last version of the repository (I made changes about this type of error a few weeks ago and maybe it's just the matter of getting the updated version).

[Penguin0321]

I downloaded the latest code and created python environment with anaconda. The python version is 3.8.18, and the details about packages are in the attach file. requirements_Penguin.txt. However, the first offspring still cannot be generated in each ipynb example.

[davideferrari92]

Sorry to hear that. Happy to look into that personally. Drop me an email at @.*** so we can schedule a f2f meeting and try to fix it.

On Sat, 11 Nov 2023, 17:38 Probe, @.***> wrote:

I downloaded the latest code and created python environment with anaconda. The python version is 3.8.18, and the details about packages are in the attach file. requirements_Penguin.txt https://github.com/davideferrari92/multiobjective_symbolic_regression/files/13326057/requirements_Penguin.txt . However, the first offspring still cannot be generated in each ipynb example.

— Reply to this email directly, view it on GitHub https://github.com/davideferrari92/multiobjective_symbolic_regression/issues/1#issuecomment-1806873891, or unsubscribe https://github.com/notifications/unsubscribe-auth/AAQIFDIIWTSI2N4WYL4ONT3YD6ZZXAVCNFSM6AAAAAA7EBEC3OVHI2DSMVQWIX3LMV43OSLTON2WKQ3PNVWWK3TUHMYTQMBWHA3TGOBZGE . You are receiving this because you commented.Message ID: <davideferrari92/multiobjective_symbolic_regression/issues/1/1806873891@ github.com>

[Penguin0321]

I'm very grateful for your enthusiasm. However, I have fixed this issue after I thoroughly checked the error messages in the console (These messages are not output on web of Jupyter Notebook). I guess you develop this project on Mac or Linux, but I ran the ipynb examples on Windows. Since the signal mechanism is not fully supported in Windows kernel, "signal.SIGALRM" and "signal.alarm" give error in "./symbolic_regression/SymbolicRegressor.py". I have replaced "signal.SIGALRM" with "signal.SIGABRT", and "signal.alarm" with "time.sleep". The offsprings can be generated now, though ETA is more than a day. Thanks again for your help.

[davideferrari92]

Ah great. Yes, I develop on Linux and will fix that. Thanks for the debug.

The ETA depends strongly on the jobs you allow and how complex the expressions get. I recommend starting with few generations to explore. Unfortunately, for to the nature of the algorithm, it's a slow process and may end up in long trainings. So far there's nothing much I could do on my end but will continue to improve. Also even I am discovering the limitations of the approach and so there may be inefficiencies that have to be fixed.

Do let me know if I can support your further and feel free to report any issues.

On Mon, 13 Nov 2023, 05:24 Probe, @.***> wrote:

I'm very grateful for your enthusiasm. However, I have fixed this issue after I thoroughly checked the error messages in the console (These messages are not output on web of Jupyter Notebook). I guess you develop this project on Mac or Linux, but I ran the ipynb examples on Windows. Since the signal mechanism is not fully supported in Windows kernel, "signal.SIGALRM" and "signal.alarm" give error in "./symbolic_regression/SymbolicRegressor.py". I have replaced "signal.SIGALRM" with "signal.SIGABRT", and "signal.alarm" with "time.sleep". The offsprings can be generated now, though ETA is more than a day. Thanks again for your help.

— Reply to this email directly, view it on GitHub https://github.com/davideferrari92/multiobjective_symbolic_regression/issues/1#issuecomment-1807497242, or unsubscribe https://github.com/notifications/unsubscribe-auth/AAQIFDJZRVXZ5TFPR3P7GY3YEGVKNAVCNFSM6AAAAAA7EBEC3OVHI2DSMVQWIX3LMV43OSLTON2WKQ3PNVWWK3TUHMYTQMBXGQ4TOMRUGI . You are receiving this because you commented.Message ID: <davideferrari92/multiobjective_symbolic_regression/issues/1/1807497242@ github.com>

[davideferrari92]

Now the code should be fixed to run properly on Windows too, please consider downloading the latest version. Do let me know if there's anything else.