OmniOpt2

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 RESULT, min (total: 2 + inserted jobs: 4)

OO_In…	OO_In…	OO_In…	OO_In…	int_p…	floa…	choic…	int_…	RESULT
-95.0	-100.0	-100.0	8.0	-95	-100…	8	-100	-3199…

Job Summary per Generation Node

Generation Node	Total	COMPLETED
SOBOL	2	2
BOTORCH_MODULAR	4	4

Experiment parameters

		Lower	Upper			Log
Name	Type	bound	bound	Values	Type	Scale?
int_param	range	-100	10		int	No
float_pa…	range	-100	10		float	No
choice_p…	choice			1, 2, 4,
				8, 16,
				hallo
int_para…	range	-100	10		int	No

Number of evaluations

Failed	Succeeded	Running	Total
0	6	0	6

Result names and types

name	min/max
RESULT	min

Last progressbar status

2026-11-01 09:38:04 (29a6de75-95c3-460b-905f-024120039ea4): BOTORCH_MODULAR, best RESULT: -319970.92, ▂▅▅▁█▆, finishing jobs, finished 1 job

Git-Version

Commit: 7cd56b4e69464a792bf2a101d2210be03f634d23 (10066-2-g7cd56b4e6)

Run-UUID: d299b1a7-78f6-4aa2-9ee0-9f875c1d4577
  ________________________________________________
| OmniOpt2 - Finding the sweet spot in the matrix. |
  ================================================
                                                     \
                                                      \
                                                       \
                                                        .--.
                                                       |o_o |
                                                       |:_/ |
                                                      //   \ \
                                                     (|     | )
                                                    /'\_   _/`\
                                                    \___)=(___/
./omniopt --live_share --send_anonymized_usage_stats --partition alpha --experiment_name=adding_old_jobs_to_new_jobs --mem_gb=4 --time=60 --worker_timeout=5 --max_eval 2 --num_parallel_jobs 1 --gpus=0 --run_program Li8udGVzdHMvb3B0aW1pemF0aW9uX2V4YW1wbGUgLS1pbnRfcGFyYW09JyUoaW50X3BhcmFtKScgLS1mbG9hdF9wYXJhbT0nJShmbG9hdF9wYXJhbSknIC0tY2hvaWNlX3BhcmFtPSclKGNob2ljZV9wYXJhbSknICAtLWludF9wYXJhbV90d289JyUoaW50X3BhcmFtX3R3byknIC0tbnJfcmVzdWx0cz0x --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 --follow --num_random_steps 1 --model BOTORCH_MODULAR --auto_exclude_defective_hosts --load_data_from_existing_jobs /home/runner/work/OmniOpt/OmniOpt/runs/adding_old_jobs_to_new_jobs/0 /home/runner/work/OmniOpt/OmniOpt/runs/adding_old_jobs_to_new_jobs/1
Run-folder: /home/runner/work/OmniOpt/OmniOpt/runs/adding_old_jobs_to_new_jobs/2
See https://imageseg.scads.de/omniax/share?user_id=runner&experiment_name=adding_old_jobs_to_new_jobs&run_nr=107 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=1
Experiment parameters
┏━━━━━━━━━━━┳━━━━━━━━┳━━━━━━━━━━━━┳━━━━━━━━━━━┳━━━━━━━━━━━━┳━━━━━━━┳━━━━━━━━━━━┓
┃           ┃        ┃ Lower      ┃ Upper     ┃            ┃       ┃ Log       ┃
┃ Name      ┃ Type   ┃ bound      ┃ bound     ┃ Values     ┃ Type  ┃ Scale?    ┃
┡━━━━━━━━━━━╇━━━━━━━━╇━━━━━━━━━━━━╇━━━━━━━━━━━╇━━━━━━━━━━━━╇━━━━━━━╇━━━━━━━━━━━┩
│ int_param │ range  │ -100       │ 10        │            │ int   │ No        │
│ float_pa… │ range  │ -100       │ 10        │            │ float │ No        │
│ choice_p… │ choice │            │           │ 1, 2, 4,   │       │           │
│           │        │            │           │ 8, 16,     │       │           │
│           │        │            │           │ hallo      │       │           │
│ int_para… │ range  │ -100       │ 10        │            │ int   │ No        │
└───────────┴────────┴────────────┴───────────┴────────────┴───────┴───────────┘
Result-Names
┏━━━━━━━━━━━━━┳━━━━━━━━━━━━━┓
┃ Result-Name ┃ Min or max? ┃
┡━━━━━━━━━━━━━╇━━━━━━━━━━━━━┩
│ RESULT      │         min │
└─────────────┴─────────────┘
Inserted 2 jobs from /home/runner/work/OmniOpt/OmniOpt/runs/adding_old_jobs_to_new_jobs/0/results.csv
Inserted 2 jobs from /home/runner/work/OmniOpt/OmniOpt/runs/adding_old_jobs_to_new_jobs/1/results.csv
Failed Jobs parameters
┏━━━━━━━━┳━━━━━━━━┳━━━━━━━━┳━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━┓
┃ param1 ┃ param2 ┃ param3 ┃ error_description                                 ┃
┡━━━━━━━━╇━━━━━━━━╇━━━━━━━━╇━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━┩
│ value1 │ value2 │ value3 │ Some error occurred during execution (this is not │
│        │        │        │ a real error!).                                   │
└────────┴────────┴────────┴───────────────────────────────────────────────────┘
Best RESULT, min (total: 2 + inserted jobs: 4)
┏━━━━━━━━┳━━━━━━━━┳━━━━━━━━┳━━━━━━━━┳━━━━━━━━┳━━━━━━━┳━━━━━━━━┳━━━━━━━┳━━━━━━━━┓
┃ OO_In… ┃ OO_In… ┃ OO_In… ┃ OO_In… ┃ int_p… ┃ floa… ┃ choic… ┃ int_… ┃ RESULT ┃
┡━━━━━━━━╇━━━━━━━━╇━━━━━━━━╇━━━━━━━━╇━━━━━━━━╇━━━━━━━╇━━━━━━━━╇━━━━━━━╇━━━━━━━━┩
│ -95.0  │ -100.0 │ -100.0 │ 8.0    │ -95    │ -100… │ 8      │ -100  │ -3199… │
└────────┴────────┴────────┴────────┴────────┴───────┴────────┴───────┴────────┘
Not printing sixel graphics in CI
Runtime Infos
┏━━━━━━━━━━━━━━━━━━━━━━━┳━━━━━━━━━━━┳━━━━━━━━━━━┳━━━━━━━━━━━━━━┳━━━━━━━━━━━━━┓
┃ Number of evaluations ┃ Min time  ┃ Max time  ┃ Average time ┃ Median time ┃
┡━━━━━━━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━╇━━━━━━━━━━━╇━━━━━━━━━━━━━━╇━━━━━━━━━━━━━┩
│           2           │ 6.00 sec  │ 7.00 sec  │   6.50 sec   │  6.50 sec   │
└───────────────────────┴───────────┴───────────┴──────────────┴─────────────┘

╭──────────────────────────── OmniOpt2 Run Summary ────────────────────────────╮
│                                                                              │
│  ✅  Optimization complete!                                                  │
│                                                                              │
│    📊 Trials: 2 succeeded / 0 failed / 6 done / 2 submitted                  │
│    ⏱️  Duration: 45s                                                         │
│    🏆 Best RESULT: -319970.92                                                │
│    📁 Results: /home/runner/work/OmniOpt/OmniOpt/runs/adding_old_jobs_to_ne  │
│    🤖 Model: BOTORCH_MODULAR                                                 │
│                                                                              │
╰──────────────────────────────────────────────────────────────────────────────╯

2026-11-01 09:37:31 (29a6de75-95c3-460b-905f-024120039ea4): SOBOL, best RESULT: -214850.80964976907, ▂█▇▁, Started OmniOpt2 run...
2026-11-01 09:37:36 (29a6de75-95c3-460b-905f-024120039ea4): BOTORCH_MODULAR, best RESULT: -214850.80964976907, ▂█▇▁, getting new HP set (no sbatch)
2026-11-01 09:37:36 (29a6de75-95c3-460b-905f-024120039ea4): BOTORCH_MODULAR, best RESULT: -214850.80964976907, ▂█▇▁, requested 1 jobs, got 1, 4.65 s/job
2026-11-01 09:37:36 (29a6de75-95c3-460b-905f-024120039ea4): BOTORCH_MODULAR, best RESULT: -214850.80964976907, ▂█▇▁, eval #1/1 start                    
2026-11-01 09:37:36 (29a6de75-95c3-460b-905f-024120039ea4): BOTORCH_MODULAR, best RESULT: -214850.80964976907, ▂█▇▁, starting new job                   
2026-11-01 09:37:36 (29a6de75-95c3-460b-905f-024120039ea4): BOTORCH_MODULAR, best RESULT: -214850.80964976907, ▂█▇▁, started new job                    
2026-11-01 09:37:47 (29a6de75-95c3-460b-905f-024120039ea4): BOTORCH_MODULAR, best RESULT: -214850.80964976907, ▂█▇▁, new result: RESULT: -319970.920000 
2026-11-01 09:37:49 (29a6de75-95c3-460b-905f-024120039ea4): BOTORCH_MODULAR, best RESULT: -319970.92, ▂▅▅▁█, finishing jobs, finished 1 job             
2026-11-01 09:37:51 (29a6de75-95c3-460b-905f-024120039ea4): BOTORCH_MODULAR, best RESULT: -319970.92, ▂▅▅▁█, getting new HP set (no sbatch)             
2026-11-01 09:37:51 (29a6de75-95c3-460b-905f-024120039ea4): BOTORCH_MODULAR, best RESULT: -319970.92, ▂▅▅▁█, requested 1 jobs, got 1, 2.01 s/job        
2026-11-01 09:37:51 (29a6de75-95c3-460b-905f-024120039ea4): BOTORCH_MODULAR, best RESULT: -319970.92, ▂▅▅▁█, eval #1/1 start                            
2026-11-01 09:37:51 (29a6de75-95c3-460b-905f-024120039ea4): BOTORCH_MODULAR, best RESULT: -319970.92, ▂▅▅▁█, starting new job                           
2026-11-01 09:37:51 (29a6de75-95c3-460b-905f-024120039ea4): BOTORCH_MODULAR, best RESULT: -319970.92, ▂▅▅▁█, started new job                            
2026-11-01 09:38:02 (29a6de75-95c3-460b-905f-024120039ea4): BOTORCH_MODULAR, best RESULT: -319970.92, ▂▅▅▁█, new result: RESULT: -266707.839075         
2026-11-01 09:38:04 (29a6de75-95c3-460b-905f-024120039ea4): BOTORCH_MODULAR, best RESULT: -319970.92, ▂▅▅▁█▆, finishing jobs, finished 1 job

         Job submission durations          
┏━━━━━━━━━┳━━━━━━━━━┳━━━━━━┳━━━━━━━━━━━━━━┓
┃   Batch ┃ Seconds ┃ Jobs ┃ Time per job ┃
┡━━━━━━━━━╇━━━━━━━━━╇━━━━━━╇━━━━━━━━━━━━━━┩
│       1 │   0.274 │    1 │        0.274 │
│       2 │   0.079 │    1 │        0.079 │
├─────────┼─────────┼──────┼──────────────┤
│ Average │   0.176 │      │              │
│  Median │   0.176 │      │              │
│   Total │   0.353 │      │              │
│     Max │   0.274 │      │              │
│     Min │   0.079 │      │              │
└─────────┴─────────┴──────┴──────────────┘

           Model generation times            
┏━━━━━━━━━━━┳━━━━━━━━━┳━━━━━━┳━━━━━━━━━━━━━━┓
┃ Iteration ┃ Seconds ┃ Jobs ┃ Time per job ┃
┡━━━━━━━━━━━╇━━━━━━━━━╇━━━━━━╇━━━━━━━━━━━━━━┩
│         1 │   4.650 │    1 │        4.650 │
│         2 │   2.012 │    1 │        2.012 │
├───────────┼─────────┼──────┼──────────────┤
│   Average │   3.331 │      │              │
│    Median │   3.331 │      │              │
│     Total │   6.662 │      │              │
│       Max │   4.650 │      │              │
│       Min │   2.012 │      │              │
└───────────┴─────────┴──────┴──────────────┘

Arguments Overview

Key	Value
install	False
config_yaml	None
config_toml	None
config_json	None
num_random_steps	1
max_eval	2
run_program	[['Li8udGVzdHMvb3B0aW1pemF0aW9uX2V4…
experiment_name	adding_old_jobs_to_new_jobs
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
modules
venv
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
wait_until_ended	False
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
local_cpu_monitor	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	False
revert_to_random_when_seemingly_exha…	False
load_data_from_existing_jobs	['/home/runner/work/OmniOpt/OmniOpt…
	'/home/runner/work/OmniOpt/OmniOpt/…
n_estimators_randomforest	100
max_attempts_for_generation	20
external_generator	None
optuna_sampler	None
optuna_pruner	none
optuna_n_startup_trials	10
optuna_multivariate	False
optuna_group	False
optuna_constraints	False
optuna_n_ei_candidates	0
optuna_storage	None
optuna_study_name	omniopt_study
optuna_no_load_if_exists	False
optuna_extra_iters	1
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
dump_config	None
formula	None
formula_mode	auto
formula_python_path	/home/runner/.omniax_venvs/Python_3…
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
beartype	False

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

timestamp,ram_usage_mb,cpu_usage_percent
1793525849,945.046875,27.2

`RESULT` (goal: minimize)

Best value: -319970.92
Achieved at:
- int_param_two = -100 (r=0.948, strong positive correlation)
- float_param = -100 (r=0.894, strong positive correlation)
- choice_param = 8 (r=-0.692, moderate negative correlation)
- int_param = -95 (r=0.521, moderate positive correlation)

Top-5 Best Results

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.

Convergence Analysis

Parameter statistics

Parameter	Min	Max	Mean	Std Dev	Count
run_time	6	7	6.5	0.5	2
OO_Info_int_param	-100	-95	-97.5	2.5	2
OO_Info_int_param_two	-100	-100	-100	0	2
OO_Info_float_param	-100	-63.3571	-81.6785	18.3215	2
OO_Info_choice_param	8	8	8	0	2
RESULT	-319970.92	-9347.613	-179654.993	109823.577	6
int_param	-100	1	-55	37.6519	6
float_param	-100	-11.8404	-61.2477	36.3432	6
choice_param	1	8	5.1667	2.9674	6
int_param_two	-100	-8	-70.1667	40.2509	6