OmniOpt2

Experiment overview

Setting	Value
Model for non-random steps	RANDOMFOREST
Max. nr. evaluations	2
Number random steps	1
Nr. of workers (parameter)	1

Job Summary per Generation Node

Generation Node	Total	COMPLETED
SOBOL	1	1

Experiment parameters

Name	Type	Lower bound	Upper bound	Values	Type	Log Scale?
x	fixed			123
y	range	1234	5431		int	No
z	range	0	1		float	No
a	choice			1, 2, 3

Number of evaluations

Failed	Succeeded	Running	Total
0	1	0	1

Result names and types

name	min/max
RESULT	min

Last progressbar status

2026-07-16 07:59:24 (ea608282-be29-414d-a80e-4413ee90b10e): SOBOL, new result: RESULT: 312328910.572924

Git-Version

Commit: 97aea5719c97465c37645a73f388fa3b63aac505 (9375-5-g97aea5719)

trial_index,submit_time,queue_time,worker_generator_uuid,start_time,end_time,run_time,program_string,exit_code,signal,hostname,arm_name,trial_status,generation_node,RESULT,y,z,a,x
0,1784188755,2,ea608282-be29-414d-a80e-4413ee90b10e,1784188757,1784188763,6,echo "RESULT: 312328910.57292360067367553711",0,,runnervm76tkm,0_0,COMPLETED,SOBOL,312328910.572923600673675537109375,2891,0.572923600673675537109375,3,123


========================================================================

Current git-hash: 97aea5719c97465c37645a73f388fa3b63aac505 (last fully tested stable version 5 commits ago [7ec7c180ddeb70e69ef837c896ebe061f7046be1, 9375])
Using coverage run -p because $RUN_WITH_COVERAGE is set
[WARNING 07-16 07:59:13] 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: e5f4222b-ef6d-4c3c-8ed5-f01eb6d5c363
/home/runner/.omniax_venvs/Python_3.10.12/x86_64/lib/python3.10/site-packages/plyer/platforms/linux/notification.py:103: UserWarning: The Python dbus package is not installed.
Try installing it with your distribution's package manager, it is usually called python-dbus or python3-dbus, but you might have to try dbus-python instead, e.g. when using pip.
  warnings.warn(msg)
/home/runner/.omniax_venvs/Python_3.10.12/x86_64/lib/python3.10/site-packages/plyer/platforms/linux/notification.py:107: UserWarning: notify-send not found.
  warnings.warn("notify-send not found.")
  _______________________________________________
| OmniOpt2 - In pursuit of the ultimate accuracy! |
  ===============================================
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omniopt --partition=alpha --experiment_name=randomforest --mem_gb=1 --time=60 --worker_timeout=60 --max_eval=2 --num_parallel_jobs=1 --gpus=0 --num_random_steps=1 --follow --live_share --send_anonymized_usage_stats --result_names RESULT=min --run_program=ZWNobyAiUkVTVUxUOiAlYSUoeCklKHkpJXoi --cpus_per_task=1 --nodes_per_job=1 --generate_all_jobs_at_once --revert_to_random_when_seemingly_exhausted --model=RANDOMFOREST --run_mode=local --occ_type=euclid --main_process_gb=8 --max_nr_of_zero_results=1 --slurm_signal_delay_s=0 --n_estimators_randomforest=100 --parameter x fixed 123 --parameter y range 5431 1234 int false --parameter z range 0 1 float false --parameter a choice 1,2,3
Run-folder: /home/runner/work/OmniOpt/OmniOpt/runs/randomforest/0
Lower bound (5431.0) was larger than upper bound (1234.0) for parameter 'y'. Switched them.
See https://imageseg.scads.de/omniax/share?user_id=runner&experiment_name=randomforest&run_nr=79 for live-results.

You have 4 CPUs available for the main process. No CUDA devices found.
Generation strategy: SOBOL for 1 step and then RANDOMFOREST for 1 step.
Run-Program: echo "RESULT: %a%(x)%(y)%z"
Experiment parameters
┏━━━━━━┳━━━━━━━━┳━━━━━━━━━━━━━┳━━━━━━━━━━━━━┳━━━━━━━━━┳━━━━━━━┳━━━━━━━━━━━━┓
┃ Name ┃ Type   ┃ Lower bound ┃ Upper bound ┃ Values  ┃ Type  ┃ Log Scale? ┃
┡━━━━━━╇━━━━━━━━╇━━━━━━━━━━━━━╇━━━━━━━━━━━━━╇━━━━━━━━━╇━━━━━━━╇━━━━━━━━━━━━┩
│ x    │ fixed  │             │             │ 123     │       │            │
│ y    │ range  │ 1234        │ 5431        │         │ int   │ No         │
│ z    │ range  │ 0           │ 1           │         │ float │ No         │
│ a    │ choice │             │             │ 1, 2, 3 │       │            │
└──────┴────────┴─────────────┴─────────────┴─────────┴───────┴────────────┘
Result-Names
┏━━━━━━━━━━━━━┳━━━━━━━━━━━━━┓
┃ Result-Name ┃ Min or max? ┃
┡━━━━━━━━━━━━━╇━━━━━━━━━━━━━┩
│ RESULT      │         min │
└─────────────┴─────────────┘

2026-07-16 07:59:15 (ea608282-be29-414d-a80e-4413ee90b10e): SOBOL, Started OmniOpt2 run...
2026-07-16 07:59:15 (ea608282-be29-414d-a80e-4413ee90b10e): SOBOL, getting new HP set (no sbatch)
2026-07-16 07:59:15 (ea608282-be29-414d-a80e-4413ee90b10e): SOBOL, requested 1 jobs, got 1, 0.03 s/job
2026-07-16 07:59:15 (ea608282-be29-414d-a80e-4413ee90b10e): SOBOL, eval #1/1 start                    
2026-07-16 07:59:15 (ea608282-be29-414d-a80e-4413ee90b10e): SOBOL, starting new job                   
2026-07-16 07:59:15 (ea608282-be29-414d-a80e-4413ee90b10e): SOBOL, started new job                    
2026-07-16 07:59:24 (ea608282-be29-414d-a80e-4413ee90b10e): SOBOL, new result: RESULT: 312328910.572924

Arguments Overview

Key	Value
config_yaml	None
config_toml	None
config_json	None
num_random_steps	1
max_eval	2
run_program	[['ZWNobyAiUkVTVUxUOiAlYSUoeCklKHkpJXoi']]
experiment_name	randomforest
mem_gb	1
parameter	[['x', 'fixed', '123'], ['y', 'range', '5431', '1234', 'int', 'false'], ['z', 'range', '0', '1', 'float', 'false'], ['a', 'choice', '1,2,3']]
continue_previous_job	None
experiment_constraints	None
run_dir	runs
seed	None
verbose_tqdm	False
model	RANDOMFOREST
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	1
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	['RESULT=min']
minkowski_p	2
signed_weighted_euclidean_weights
generation_strategy	None
generate_all_jobs_at_once	True
revert_to_random_when_seemingly_exhausted	True
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	False
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
nr_evals_per_arm	1
disable_notifications	False
dump_config	None
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	60
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	False
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
beartype	False

This logs the CPU and RAM usage of the main worker process.

timestamp,ram_usage_mb,cpu_usage_percent
1784188753,752.97265625,28.1

! No notable correlations between parameters were found (threshold: |r| > 0.3).

Parameter Sensitivity Ranking

Parameters ranked by absolute Pearson correlation with each result. Stronger correlations (|r| ≥ 0.7) suggest the parameter has more influence on the outcome.

Parameter statistics

Parameter	Min	Max	Mean	Count
run_time	6	6	6	1
RESULT	312328910.5729	312328910.5729	312328910.5729	1
y	2891	2891	2891	1
z	0.5729	0.5729	0.5729	1
a	3	3	3	1
x	123	123	123	1

submitit INFO (2026-07-16 07:59:16,140) - Starting with JobEnvironment(job_id=98113, hostname=runnervm76tkm, local_rank=0(1), node=0(1), global_rank=0(1))
submitit INFO (2026-07-16 07:59:16,141) - Loading pickle: /home/runner/work/OmniOpt/OmniOpt/runs/randomforest/0/single_runs/98113/98113_submitted.pkl
Trial-Index: 0

Parameters: {"y": 2891, "z": 0.5729236006736755, "a": 3, "x": 123}
Debug-Infos: 
echo "RESULT: 312328910.57292360067367553711"
stdout:
 RESULT: 312328910.57292360067367553711

stderr was empty
Result: {'RESULT': 312328910.5729236}
Final-results: {'RESULT': 312328910.5729236}
EXIT_CODE: 0
submitit INFO (2026-07-16 07:59:23,842) - Job completed successfully
submitit INFO (2026-07-16 07:59:23,842) - Exiting after successful completion