GUI page with all the settings of this job Experiment overview Setting Value Model for non-random steps BOTORCH_MODULAR Max. nr. evaluations 2 Number random steps 1 Nr. of workers (parameter) 1
Best RESULT1, min (total: 2) OO_Info_int_p… OO_Info_int_p… OO_Info_float… OO_Info_choic… RESULT2 RESULT3 RESULT4 int_param float_param int_param_two choice_param RESULT1 -79 -90 -42.851869698… 16 2.027681747774… 3.39423227989… 4.462138804231… -79 -42.851869698… -90 16 1.256430246940…
Job Summary per Generation Node
Generation Node Total COMPLETED
SOBOL 1 1 BOTORCH_MODULAR 1 1
Experiment parameters Name Type Lower bound Upper bound Values Type Log Scale? int_param range -100 10 int No float_param range -100 10 float No choice_param choice 1, 2, 4, 8, 16, hallo int_param_two range -100 10 int No
Number of evaluations
Failed
Succeeded
Running
Total
0
2
0
2
Result names and types
name min/max
RESULT1
min
RESULT2
min
RESULT3
min
RESULT4
min
Last progressbar status
2025-09-10 15:45:43 (79e03fd2-2124-43a2-8ecc-24213f6e8b1f): SOBOL, 2 done, finishing jobs, finished 1 job Git-Version
Commit: e41a9a44bf1147d12d9d1370f8476c5f1b6dff10 (8509-6-ge41a9a44b)
trial_index,submit_time,queue_time,worker_generator_uuid,start_time,end_time,run_time,program_string,exit_code,signal,hostname,OO_Info_int_param,OO_Info_int_param_two,OO_Info_float_param,OO_Info_choice_param,arm_name,trial_status,generation_node,RESULT1,RESULT2,RESULT3,RESULT4,int_param,float_param,int_param_two,choice_param
0,1757519119,2,79e03fd2-2124-43a2-8ecc-24213f6e8b1f,1757519121,1757519127,6,./.tests/optimization_example --int_param='-9' --float_param='8.25328648090362548828' --choice_param='4' --int_param_two='-17' --nr_results=4,0,,runnervmf4ws1,-9,-17,8.25328648090362548828125,4,0_0,COMPLETED,SOBOL,1.899837223400000052464520194917,2.49929291459999980418160703266,3.412691786699999951792960928287,4.742421866499999971722445479827,-9,8.25328648090362548828125,-17,4
1,1757519131,2,79e03fd2-2124-43a2-8ecc-24213f6e8b1f,1757519133,1757519139,6,./.tests/optimization_example --int_param='-79' --float_param='-42.85186969814054691597' --choice_param='16' --int_param_two='-90' --nr_results=4,0,,runnervmf4ws1,-79,-90,-42.851869698140554021392745198682,16,1_0,COMPLETED,BOTORCH_MODULAR,1.256430246940910100406085803115,2.027681747774720211197063690634,3.394232279892220205397279642057,4.462138804231419619839016377227,-79,-42.85186969814054691596538759768,-90,16
========================================================================
Current git-hash: e41a9a44bf1147d12d9d1370f8476c5f1b6dff10 (last fully tested stable version 6 commits ago [fd169efde52c08105aa8078cc890532aea608c04, 8509])
Using coverage run -p because $RUN_WITH_COVERAGE is set
[WARNING 09-10 15:45:17] ax.service.utils.with_db_settings_base: Ax currently requires a sqlalchemy version below 2.0. This will be addressed in a future release. Disabling SQL storage in Ax for now, if you would like to use SQL storage please install Ax with mysql extras via `pip install ax-platform[mysql]`.
Run-UUID: 5302e61d-9647-4957-9086-94e8d38fa685
_________________________________________________
/ \
| OmniOpt2 - Hyperparameter tuning: The philosopher |
| ’s stone of deep learning. |
\ /
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omniopt --live_share --send_anonymized_usage_stats --partition alpha --experiment_name=__main__tests__BOTORCH_MODULAR___nogridsearch_nr_results_4 --mem_gb=4 --time=60 --worker_timeout=5 --max_eval 2 --num_parallel_jobs 1 --gpus=0 --run_program Li8udGVzdHMvb3B0aW1pemF0aW9uX2V4YW1wbGUgIC0taW50X3BhcmFtPSclKGludF9wYXJhbSknIC0tZmxvYXRfcGFyYW09JyUoZmxvYXRfcGFyYW0pJyAtLWNob2ljZV9wYXJhbT0nJShjaG9pY2VfcGFyYW0pJyAtLWludF9wYXJhbV90d289JyUoaW50X3BhcmFtX3R3byknIC0tbnJfcmVzdWx0cz00 --parameter int_param range -100 10 int --parameter float_param range -100 10 float --parameter choice_param choice 1,2,4,8,16,hallo --parameter int_param_two range -100 10 int --num_random_steps 1 --model BOTORCH_MODULAR --auto_exclude_defective_hosts --result_names RESULT1=min RESULT2=min RESULT3=min RESULT4=min --generate_all_jobs_at_once --follow --show_generate_time_table
Run-folder : /home/runner/work/OmniOpt/OmniOpt/runs/__main__tests__BOTORCH_MODULAR___nogridsearch_nr_results_4/ 0
See https://imageseg.scads.de/omniax/share?user_id=runner&experiment_name=__main__tests__BOTORCH_MODULAR___nogridsearch_nr_results_4&run_nr=42 for live-results.
You have 4 CPUs available for the main process. No CUDA devices found.
Generation strategy: SOBOL for 1 step and then BOTORCH_MODULAR for 1 step.
Run-Program: ./.tests/optimization_example --int_param='%(int_param)' --float_param='%(float_param)' --choice_param='%(choice_param)' --int_param_two='%(int_param_two)' --nr_results=4
Experiment parameters
┏━━━━━━━━━━━━━━━┳━━━━━━━━┳━━━━━━━━━━━━━┳━━━━━━━━━━━━━┳━━━━━━━━━━━━━━━━━━━━━━━┳━━━━━━━┳━━━━━━━━━━━━┓
┃ Name ┃ Type ┃ Lower bound ┃ Upper bound ┃ Values ┃ Type ┃ Log Scale? ┃
┡━━━━━━━━━━━━━━━╇━━━━━━━━╇━━━━━━━━━━━━━╇━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━━━━━━━━━╇━━━━━━━╇━━━━━━━━━━━━┩
│ int_param │ range │ -100 │ 10 │ │ int │ No │
│ float_param │ range │ -100 │ 10 │ │ float │ No │
│ choice_param │ choice │ │ │ 1, 2, 4, 8, 16, hallo │ │ │
│ int_param_two │ range │ -100 │ 10 │ │ int │ No │
└───────────────┴────────┴─────────────┴─────────────┴───────────────────────┴───────┴────────────┘
Result-Names
┏━━━━━━━━━━━━━┳━━━━━━━━━━━━━┓
┃ Result-Name ┃ Min or max? ┃
┡━━━━━━━━━━━━━╇━━━━━━━━━━━━━┩
│ RESULT1 │ min │
│ RESULT2 │ min │
│ RESULT3 │ min │
│ RESULT4 │ min │
└─────────────┴─────────────┘
Your console does not support sixel-images. Will not print Pareto-frontier as a
matplotlib-sixel-plot for RESULT1/RESULT2.
Pareto-Front for RESULT1/RESULT2:
┏━━━━━━━━━━━━━┳━━━━━━━━━━━┳━━━━━━━━━━━━━━━━━━━━┳━━━━━━━━━━━━━━━┳━━━━━━━━━━━━━━┳━━━━━━━━━━━━━━━━━━┳━━━━━━━━━━━━━━━━━━┳━━━━━━━━━━━━━━━━━━┳━━━━━━━━━━━━━━━━━━┓
┃ trial_index ┃ int_param ┃ float_param ┃ int_param_two ┃ choice_param ┃ RESULT1 ┃ RESULT2 ┃ RESULT3 ┃ RESULT4 ┃
┡━━━━━━━━━━━━━╇━━━━━━━━━━━╇━━━━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━━━━┩
│ 1 │ -79 │ -42.85186969814055 │ -90 │ 16 │ 1.25643024694091 │ 2.02768174777472 │ 3.39423227989222 │ 4.46213880423142 │
└─────────────┴───────────┴────────────────────┴───────────────┴──────────────┴──────────────────┴──────────────────┴──────────────────┴──────────────────┘
Your console does not support sixel-images. Will not print Pareto-frontier as a
matplotlib-sixel-plot for RESULT1/RESULT3.
Pareto-Front for RESULT1/RESULT3:
┏━━━━━━━━━━━━━┳━━━━━━━━━━━┳━━━━━━━━━━━━━━━━━━━━┳━━━━━━━━━━━━━━━┳━━━━━━━━━━━━━━┳━━━━━━━━━━━━━━━━━━┳━━━━━━━━━━━━━━━━━━┳━━━━━━━━━━━━━━━━━━┳━━━━━━━━━━━━━━━━━━┓
┃ trial_index ┃ int_param ┃ float_param ┃ int_param_two ┃ choice_param ┃ RESULT1 ┃ RESULT2 ┃ RESULT3 ┃ RESULT4 ┃
┡━━━━━━━━━━━━━╇━━━━━━━━━━━╇━━━━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━━━━┩
│ 1 │ -79 │ -42.85186969814055 │ -90 │ 16 │ 1.25643024694091 │ 2.02768174777472 │ 3.39423227989222 │ 4.46213880423142 │
└─────────────┴───────────┴────────────────────┴───────────────┴──────────────┴──────────────────┴──────────────────┴──────────────────┴──────────────────┘
Your console does not support sixel-images. Will not print Pareto-frontier as a
matplotlib-sixel-plot for RESULT1/RESULT4.
Pareto-Front for RESULT1/RESULT4:
┏━━━━━━━━━━━━━┳━━━━━━━━━━━┳━━━━━━━━━━━━━━━━━━━━┳━━━━━━━━━━━━━━━┳━━━━━━━━━━━━━━┳━━━━━━━━━━━━━━━━━━┳━━━━━━━━━━━━━━━━━━┳━━━━━━━━━━━━━━━━━━┳━━━━━━━━━━━━━━━━━━┓
┃ trial_index ┃ int_param ┃ float_param ┃ int_param_two ┃ choice_param ┃ RESULT1 ┃ RESULT2 ┃ RESULT3 ┃ RESULT4 ┃
┡━━━━━━━━━━━━━╇━━━━━━━━━━━╇━━━━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━━━━┩
│ 1 │ -79 │ -42.85186969814055 │ -90 │ 16 │ 1.25643024694091 │ 2.02768174777472 │ 3.39423227989222 │ 4.46213880423142 │
└─────────────┴───────────┴────────────────────┴───────────────┴──────────────┴──────────────────┴──────────────────┴──────────────────┴──────────────────┘
Your console does not support sixel-images. Will not print Pareto-frontier as a
matplotlib-sixel-plot for RESULT2/RESULT3.
Pareto-Front for RESULT2/RESULT3:
┏━━━━━━━━━━━━━┳━━━━━━━━━━━┳━━━━━━━━━━━━━━━━━━━━┳━━━━━━━━━━━━━━━┳━━━━━━━━━━━━━━┳━━━━━━━━━━━━━━━━━━┳━━━━━━━━━━━━━━━━━━┳━━━━━━━━━━━━━━━━━━┳━━━━━━━━━━━━━━━━━━┓
┃ trial_index ┃ int_param ┃ float_param ┃ int_param_two ┃ choice_param ┃ RESULT1 ┃ RESULT2 ┃ RESULT3 ┃ RESULT4 ┃
┡━━━━━━━━━━━━━╇━━━━━━━━━━━╇━━━━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━━━━┩
│ 1 │ -79 │ -42.85186969814055 │ -90 │ 16 │ 1.25643024694091 │ 2.02768174777472 │ 3.39423227989222 │ 4.46213880423142 │
└─────────────┴───────────┴────────────────────┴───────────────┴──────────────┴──────────────────┴──────────────────┴──────────────────┴──────────────────┘
Your console does not support sixel-images. Will not print Pareto-frontier as a
matplotlib-sixel-plot for RESULT2/RESULT4.
Pareto-Front for RESULT2/RESULT4:
┏━━━━━━━━━━━━━┳━━━━━━━━━━━┳━━━━━━━━━━━━━━━━━━━━┳━━━━━━━━━━━━━━━┳━━━━━━━━━━━━━━┳━━━━━━━━━━━━━━━━━━┳━━━━━━━━━━━━━━━━━━┳━━━━━━━━━━━━━━━━━━┳━━━━━━━━━━━━━━━━━━┓
┃ trial_index ┃ int_param ┃ float_param ┃ int_param_two ┃ choice_param ┃ RESULT1 ┃ RESULT2 ┃ RESULT3 ┃ RESULT4 ┃
┡━━━━━━━━━━━━━╇━━━━━━━━━━━╇━━━━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━━━━┩
│ 1 │ -79 │ -42.85186969814055 │ -90 │ 16 │ 1.25643024694091 │ 2.02768174777472 │ 3.39423227989222 │ 4.46213880423142 │
└─────────────┴───────────┴────────────────────┴───────────────┴──────────────┴──────────────────┴──────────────────┴──────────────────┴──────────────────┘
Your console does not support sixel-images. Will not print Pareto-frontier as a
matplotlib-sixel-plot for RESULT3/RESULT4.
Pareto-Front for RESULT3/RESULT4:
┏━━━━━━━━━━━━━┳━━━━━━━━━━━┳━━━━━━━━━━━━━━━━━━━━┳━━━━━━━━━━━━━━━┳━━━━━━━━━━━━━━┳━━━━━━━━━━━━━━━━━━┳━━━━━━━━━━━━━━━━━━┳━━━━━━━━━━━━━━━━━━┳━━━━━━━━━━━━━━━━━━┓
┃ trial_index ┃ int_param ┃ float_param ┃ int_param_two ┃ choice_param ┃ RESULT1 ┃ RESULT2 ┃ RESULT3 ┃ RESULT4 ┃
┡━━━━━━━━━━━━━╇━━━━━━━━━━━╇━━━━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━━━━┩
│ 1 │ -79 │ -42.85186969814055 │ -90 │ 16 │ 1.25643024694091 │ 2.02768174777472 │ 3.39423227989222 │ 4.46213880423142 │
└─────────────┴───────────┴────────────────────┴───────────────┴──────────────┴──────────────────┴──────────────────┴──────────────────┴──────────────────┘
Failed Jobs parameters
┏━━━━━━━━┳━━━━━━━━┳━━━━━━━━┳━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━┓
┃ param1 ┃ param2 ┃ param3 ┃ error_description ┃
┡━━━━━━━━╇━━━━━━━━╇━━━━━━━━╇━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━┩
│ value1 │ value2 │ value3 │ Some error occurred during execution (this is not a real error!). │
└────────┴────────┴────────┴───────────────────────────────────────────────────────────────────┘
Not printing sixel graphics in CI
Not printing sixel graphics in CI
Not printing sixel graphics in CI
Not printing sixel graphics in CI
Runtime Infos
┏━━━━━━━━━━━━━━━━━━━━━━━┳━━━━━━━━━━━┳━━━━━━━━━━━┳━━━━━━━━━━━━━━┳━━━━━━━━━━━━━┓
┃ Number of evaluations ┃ Min time ┃ Max time ┃ Average time ┃ Median time ┃
┡━━━━━━━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━╇━━━━━━━━━━━╇━━━━━━━━━━━━━━╇━━━━━━━━━━━━━┩
│ 2 │ 6.00 sec │ 6.00 sec │ 6.00 sec │ 6.00 sec │
└───────────────────────┴───────────┴───────────┴──────────────┴─────────────┘
Model generation times
┏━━━━━━━━━━━┳━━━━━━━━━┳━━━━━━┳━━━━━━━━━━━━━━┓
┃ Iteration ┃ Seconds ┃ Jobs ┃ Time per job ┃
┡━━━━━━━━━━━╇━━━━━━━━━╇━━━━━━╇━━━━━━━━━━━━━━┩
│ 1 │ 0.020 │ 1 │ 0.020 │
│ 2 │ 1.366 │ 1 │ 1.366 │
├───────────┼─────────┼──────┼──────────────┤
│ Average │ 0.693 │ │ │
│ Median │ 0.693 │ │ │
│ Total │ 1.386 │ │ │
│ Max │ 1.366 │ │ │
│ Min │ 0.020 │ │ │
└───────────┴─────────┴──────┴──────────────┘
Job submission durations
┏━━━━━━━━━┳━━━━━━━━━┳━━━━━━┳━━━━━━━━━━━━━━┓
┃ Batch ┃ Seconds ┃ Jobs ┃ Time per job ┃
┡━━━━━━━━━╇━━━━━━━━━╇━━━━━━╇━━━━━━━━━━━━━━┩
│ 1 │ 0.219 │ 1 │ 0.219 │
│ 2 │ 0.160 │ 1 │ 0.160 │
├─────────┼─────────┼──────┼──────────────┤
│ Average │ 0.189 │ │ │
│ Median │ 0.189 │ │ │
│ Total │ 0.378 │ │ │
│ Max │ 0.219 │ │ │
│ Min │ 0.160 │ │ │
└─────────┴─────────┴──────┴──────────────┘
2025-09-10 15:45:19 (79e03fd2-2124-43a2-8ecc-24213f6e8b1f): SOBOL, Started OmniOpt2 run...
2025-09-10 15:45:19 (79e03fd2-2124-43a2-8ecc-24213f6e8b1f): SOBOL, getting new HP set (no sbatch)
2025-09-10 15:45:19 (79e03fd2-2124-43a2-8ecc-24213f6e8b1f): SOBOL, requested 1 jobs, got 1, 0.02 s/job
2025-09-10 15:45:19 (79e03fd2-2124-43a2-8ecc-24213f6e8b1f): SOBOL, eval #1/1 start
2025-09-10 15:45:19 (79e03fd2-2124-43a2-8ecc-24213f6e8b1f): SOBOL, starting new job
2025-09-10 15:45:19 (79e03fd2-2124-43a2-8ecc-24213f6e8b1f): SOBOL, started new job
2025-09-10 15:45:28 (79e03fd2-2124-43a2-8ecc-24213f6e8b1f): SOBOL, new result: 1.89983722342095
2025-09-10 15:45:29 (79e03fd2-2124-43a2-8ecc-24213f6e8b1f): SOBOL, 1 done, finishing jobs, finished 1 job
2025-09-10 15:45:31 (79e03fd2-2124-43a2-8ecc-24213f6e8b1f): SOBOL, 1 done, getting new HP set (no sbatch)
2025-09-10 15:45:31 (79e03fd2-2124-43a2-8ecc-24213f6e8b1f): SOBOL, 1 done, requested 1 jobs, got 1, 1.37 s/job
2025-09-10 15:45:31 (79e03fd2-2124-43a2-8ecc-24213f6e8b1f): SOBOL, 1 done, eval #1/1 start
2025-09-10 15:45:31 (79e03fd2-2124-43a2-8ecc-24213f6e8b1f): SOBOL, 1 done, starting new job
2025-09-10 15:45:31 (79e03fd2-2124-43a2-8ecc-24213f6e8b1f): SOBOL, 1 done, started new job
2025-09-10 15:45:40 (79e03fd2-2124-43a2-8ecc-24213f6e8b1f): SOBOL, 1 done, new result: 1.25643024694091
2025-09-10 15:45:43 (79e03fd2-2124-43a2-8ecc-24213f6e8b1f): SOBOL, 2 done, finishing jobs, finished 1 job
Job submission durations
┏━━━━━━━━━┳━━━━━━━━━┳━━━━━━┳━━━━━━━━━━━━━━┓
┃ Batch ┃ Seconds ┃ Jobs ┃ Time per job ┃
┡━━━━━━━━━╇━━━━━━━━━╇━━━━━━╇━━━━━━━━━━━━━━┩
│ 1 │ 0.219 │ 1 │ 0.219 │
│ 2 │ 0.160 │ 1 │ 0.160 │
├─────────┼─────────┼──────┼──────────────┤
│ Average │ 0.189 │ │ │
│ Median │ 0.189 │ │ │
│ Total │ 0.378 │ │ │
│ Max │ 0.219 │ │ │
│ Min │ 0.160 │ │ │
└─────────┴─────────┴──────┴──────────────┘
Model generation times
┏━━━━━━━━━━━┳━━━━━━━━━┳━━━━━━┳━━━━━━━━━━━━━━┓
┃ Iteration ┃ Seconds ┃ Jobs ┃ Time per job ┃
┡━━━━━━━━━━━╇━━━━━━━━━╇━━━━━━╇━━━━━━━━━━━━━━┩
│ 1 │ 0.020 │ 1 │ 0.020 │
│ 2 │ 1.366 │ 1 │ 1.366 │
├───────────┼─────────┼──────┼──────────────┤
│ Average │ 0.693 │ │ │
│ Median │ 0.693 │ │ │
│ Total │ 1.386 │ │ │
│ Max │ 1.366 │ │ │
│ Min │ 0.020 │ │ │
└───────────┴─────────┴──────┴──────────────┘
Arguments Overview Key Value config_yaml None config_toml None config_json None num_random_steps 1 max_eval 2 run_program [['Li8udGVzdHMvb3B0aW1pemF0aW9uX2V4YW1wbGUgIC0taW50X3BhcmFtPSclKGludF9wYXJhbSknIC0tZmxvYXRfcGFyYW09JyUoZmxvYXRfcGFyYW0pJyAtLWNob2ljZV9wYXJhbT0nJShjaG9p… experiment_name __main__tests__BOTORCH_MODULAR___nogridsearch_nr_results_4 mem_gb 4 parameter [['int_param', 'range', '-100', '10', 'int'], ['float_param', 'range', '-100', '10', 'float'], ['choice_param', 'choice', '1,2,4,8,16,hallo'], ['int_param_two', 'range', '-100', '10', 'int']] continue_previous_job None experiment_constraints None run_dir runs seed None verbose_tqdm False model BOTORCH_MODULAR gridsearch False occ False show_sixel_scatter False show_sixel_general False show_sixel_trial_index_result False follow True send_anonymized_usage_stats True ui_url None root_venv_dir /home/runner exclude None main_process_gb 8 max_nr_of_zero_results 10 abbreviate_job_names False orchestrator_file None checkout_to_latest_tested_version False live_share True disable_tqdm False disable_previous_job_constraint False workdir occ_type euclid result_names ['RESULT1=min', 'RESULT2=min', 'RESULT3=min', 'RESULT4=min'] minkowski_p 2 signed_weighted_euclidean_weights generation_strategy None generate_all_jobs_at_once True revert_to_random_when_seemingly_exhausted False load_data_from_existing_jobs [] n_estimators_randomforest 100 max_attempts_for_generation 20 external_generator None username None max_failed_jobs None num_cpus_main_job None calculate_pareto_front_of_job [] show_generate_time_table True force_choice_for_ranges False max_abandoned_retrial 20 share_password None dryrun False db_url None run_program_once None worker_generator_path None save_to_database False range_max_difference 1000000 skip_search False dont_warm_start_refitting False refit_on_cv False fit_out_of_design False fit_abandoned False dont_jit_compile False num_restarts 20 raw_samples 1024 max_num_of_parallel_sruns 16 no_transform_inputs False no_normalize_y False transforms [] number_of_generators 1 num_parallel_jobs 1 worker_timeout 5 slurm_use_srun False time 60 partition alpha reservation None force_local_execution False slurm_signal_delay_s 0 nodes_per_job 1 cpus_per_task 1 account None gpus 0 dependency None run_mode local verbose False verbose_break_run_search_table False debug False flame_graph False memray False no_sleep False tests False show_worker_percentage_table_at_end False auto_exclude_defective_hosts True run_tests_that_fail_on_taurus False raise_in_eval False show_ram_every_n_seconds 0 show_generation_and_submission_sixel False just_return_defaults False prettyprint False runtime_debug False debug_stack_regex debug_stack_trace_regex None show_func_name False
timestamp,ram_usage_mb,cpu_usage_percent
1757519119,765.78515625,25.8
Parameter statistics Parameter Min Max Mean Std Dev Count run_time 6 6 6 0 2 OO_Info_int_param -79 -9 -44 35 2 OO_Info_int_param_two -90 -17 -53.5 36.5 2 OO_Info_float_param -42.8519 8.2533 -17.2993 25.5526 2 OO_Info_choice_param 4 16 10 6 2 RESULT1 1.2564 1.8998 1.5781 0.3217 2 RESULT2 2.0277 2.4993 2.2635 0.2358 2 RESULT3 3.3942 3.4127 3.4035 0.0092 2 RESULT4 4.4621 4.7424 4.6023 0.1401 2 int_param -79 -9 -44 35 2 float_param -42.8519 8.2533 -17.2993 25.5526 2 int_param_two -90 -17 -53.5 36.5 2 choice_param 4 16 10 6 2
Correlation Heatmap Explanation
This is a heatmap that visualizes the correlation between numerical columns in a dataset. The values represented in the heatmap show the strength and direction of relationships between different variables.
How It Works
The heatmap uses a matrix to represent correlations between each pair of numerical columns. The calculation behind this is based on the concept of "correlation," which measures how strongly two variables are related. A correlation can be positive, negative, or zero:
Positive correlation : Both variables increase or decrease together (e.g., if the temperature rises, ice cream sales increase).Negative correlation : As one variable increases, the other decreases (e.g., as the price of a product rises, the demand for it decreases).Zero correlation : There is no relationship between the two variables (e.g., height and shoe size might show zero correlation in some contexts).
Color Scale: Yellow to Purple (Viridis)
The heatmap uses a color scale called "Viridis," which ranges from yellow to purple. Here's what the colors represent:
Yellow (brightest) : A strong positive correlation (close to +1). This indicates that as one variable increases, the other increases in a very predictable manner.Green : A moderate positive correlation. Variables are still positively related, but the relationship is not as strong.Blue : A weak or near-zero correlation. There is a small or no discernible relationship between the variables.Purple (darkest) : A strong negative correlation (close to -1). This indicates that as one variable increases, the other decreases in a very predictable manner.
What the Heatmap Shows
In the heatmap, each cell represents the correlation between two numerical columns. The color of the cell is determined by the correlation coefficient: from yellow for strong positive correlations, through green and blue for weaker correlations, to purple for strong negative correlations.
84424 (7s, RESULT1: 1.89983722342095, RESULT2: 2.49929291461328, RESULT3: 3.41269178669075, RESULT4: 4.74242186648457) ✅
84700 (8s, RESULT1: 1.25643024694091, RESULT2: 2.02768174777472, RESULT3: 3.39423227989222, RESULT4: 4.46213880423142) ✅
/home/runner/.omniax_venvs/Python_3.12.3/x86_64/lib/python3.12/site-packages/submitit/core/plugins.py:24: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81.
import pkg_resources
submitit INFO (2025-09-10 15:45:20,054 ) - Starting with JobEnvironment(job_id=84424, hostname=runnervmf4ws1, local_rank=0(1), node=0(1), global_rank=0(1))
submitit INFO (2025-09-10 15:45:20,054 ) - Loading pickle: /home/runner/work/OmniOpt/OmniOpt/runs/__main__tests__BOTORCH_MODULAR___nogridsearch_nr_results_4/0/single_runs/84424/84424_submitted.pkl
Parameters: {"int_param": -9, "float_param": 8.253286480903625, "int_param_two": -17, "choice_param": 4}
Debug-Infos:
========
DEBUG INFOS START:
Program-Code: ./.tests/optimization_example --int_param='-9' --float_param='8.25328648090362548828' --choice_param='4' --int_param_two='-17' --nr_results=4
pwd: /home/runner/work/OmniOpt/OmniOpt
File: ./.tests/optimization_example
UID: 1001
GID: 1001
Status-Change-Time: 1757517682.3964639
Size: 5714 Bytes
Permissions: -rwxr-xr-x
Owner: runner
Last access: 1757517771.171435
Last modification: 1757517682.3964639
Hostname: runnervmf4ws1
========
DEBUG INFOS END
./.tests/optimization_example --int_param='-9' --float_param='8.25328648090362548828' --choice_param='4' --int_param_two='-17' --nr_results=4
stdout:
OO-Info: int_param: -9
OO-Info: int_param_two: -17
OO-Info: float_param: 8.25328648090362548828
OO-Info: choice_param: 4
RESULT1: 1.89983722342095
RESULT2: 2.49929291461328
RESULT3: 3.41269178669075
RESULT4: 4.74242186648457
stderr was empty
Result: {'RESULT1': 1.89983722342095, 'RESULT2': 2.49929291461328, 'RESULT3': 3.41269178669075, 'RESULT4': 4.74242186648457}
Final-results: {'RESULT1': 1.89983722342095, 'RESULT2': 2.49929291461328, 'RESULT3': 3.41269178669075, 'RESULT4': 4.74242186648457}
EXIT_CODE: 0
submitit INFO (2025-09-10 15:45:27,578 ) - Job completed successfully
submitit INFO (2025-09-10 15:45:27,578 ) - Exiting after successful completion
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