OmniOpt2

Experiment overview

Setting	Value
Model for non-random steps	BOTORCH_MODULAR
Max. nr. evaluations	3
Number random steps	2
Nr. of workers (parameter)	1
Main process memory (GB)	8
Worker memory (GB)	4

Best RESULT, min (total: 3)

OO_Info_int_param	OO_Info_int_para…	OO_Info_float_pa…	OO_Info_choice_…	int_param	float_param	int_param_two	choice_param	RESULT
-35	-100	-100.0	2	-35	-100.0	-100	2	-235786.12

Job Summary per Generation Node

Generation Node	Total	COMPLETED
SOBOL	2	2
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	3	0	3

Result names and types

name	min/max
RESULT	min

Last progressbar status

2026-08-10 10:49:42 (0e16382a-0ca6-4cb0-8350-81af7fb18096): BOTORCH_MODULAR, best RESULT: -235786.12, ▁▂█, finishing jobs, finished 1 job

Git-Version

Commit: 80867d9595e4ec7a1f8ecff8215742f037a2f8b4 (9430-12-g80867d959)

2026-08-10 10:48:54 (0e16382a-0ca6-4cb0-8350-81af7fb18096): SOBOL, Started OmniOpt2 run...
2026-08-10 10:48:54 (0e16382a-0ca6-4cb0-8350-81af7fb18096): SOBOL, getting new HP set (no sbatch)
2026-08-10 10:48:54 (0e16382a-0ca6-4cb0-8350-81af7fb18096): SOBOL, requested 1 jobs, got 1, 0.04 s/job
2026-08-10 10:48:54 (0e16382a-0ca6-4cb0-8350-81af7fb18096): SOBOL, eval #1/1 start                    
2026-08-10 10:48:54 (0e16382a-0ca6-4cb0-8350-81af7fb18096): SOBOL, starting new job                   
2026-08-10 10:48:55 (0e16382a-0ca6-4cb0-8350-81af7fb18096): SOBOL, started new job                    
2026-08-10 10:49:07 (0e16382a-0ca6-4cb0-8350-81af7fb18096): SOBOL, new result: RESULT: -40414.917186  
2026-08-10 10:49:08 (0e16382a-0ca6-4cb0-8350-81af7fb18096): SOBOL, best RESULT: -40414.917185884, finishing jobs, finished 1 job
2026-08-10 10:49:08 (0e16382a-0ca6-4cb0-8350-81af7fb18096): SOBOL, best RESULT: -40414.917185884, getting new HP set (no sbatch)
2026-08-10 10:49:08 (0e16382a-0ca6-4cb0-8350-81af7fb18096): SOBOL, best RESULT: -40414.917185884, requested 1 jobs, got 1, 0.13 s/job
2026-08-10 10:49:08 (0e16382a-0ca6-4cb0-8350-81af7fb18096): SOBOL, best RESULT: -40414.917185884, eval #1/1 start                    
2026-08-10 10:49:08 (0e16382a-0ca6-4cb0-8350-81af7fb18096): SOBOL, best RESULT: -40414.917185884, starting new job                   
2026-08-10 10:49:09 (0e16382a-0ca6-4cb0-8350-81af7fb18096): SOBOL, best RESULT: -40414.917185884, started new job                    
2026-08-10 10:49:22 (0e16382a-0ca6-4cb0-8350-81af7fb18096): SOBOL, best RESULT: -40414.917185884, new result: RESULT: -81493.308147  
2026-08-10 10:49:23 (0e16382a-0ca6-4cb0-8350-81af7fb18096): SOBOL, best RESULT: -81493.3081471184, ▁█, finishing jobs, finished 1 job
2026-08-10 10:49:27 (0e16382a-0ca6-4cb0-8350-81af7fb18096): BOTORCH_MODULAR, best RESULT: -81493.3081471184, ▁█, getting new HP set (no sbatch)
2026-08-10 10:49:27 (0e16382a-0ca6-4cb0-8350-81af7fb18096): BOTORCH_MODULAR, best RESULT: -81493.3081471184, ▁█, requested 1 jobs, got 1, 3.42 s/job
2026-08-10 10:49:27 (0e16382a-0ca6-4cb0-8350-81af7fb18096): BOTORCH_MODULAR, best RESULT: -81493.3081471184, ▁█, eval #1/1 start                    
2026-08-10 10:49:27 (0e16382a-0ca6-4cb0-8350-81af7fb18096): BOTORCH_MODULAR, best RESULT: -81493.3081471184, ▁█, starting new job                   
2026-08-10 10:49:27 (0e16382a-0ca6-4cb0-8350-81af7fb18096): BOTORCH_MODULAR, best RESULT: -81493.3081471184, ▁█, started new job                    
2026-08-10 10:49:40 (0e16382a-0ca6-4cb0-8350-81af7fb18096): BOTORCH_MODULAR, best RESULT: -81493.3081471184, ▁█, new result: RESULT: -235786.120000 
2026-08-10 10:49:42 (0e16382a-0ca6-4cb0-8350-81af7fb18096): BOTORCH_MODULAR, best RESULT: -235786.12, ▁▂█, finishing jobs, finished 1 job

         Job submission durations          
┏━━━━━━━━━┳━━━━━━━━━┳━━━━━━┳━━━━━━━━━━━━━━┓
┃   Batch ┃ Seconds ┃ Jobs ┃ Time per job ┃
┡━━━━━━━━━╇━━━━━━━━━╇━━━━━━╇━━━━━━━━━━━━━━┩
│       1 │   0.242 │    1 │        0.242 │
│       2 │   0.263 │    1 │        0.263 │
│       3 │   0.233 │    1 │        0.233 │
├─────────┼─────────┼──────┼──────────────┤
│ Average │   0.246 │      │              │
│  Median │   0.242 │      │              │
│   Total │   0.737 │      │              │
│     Max │   0.263 │      │              │
│     Min │   0.233 │      │              │
└─────────┴─────────┴──────┴──────────────┘

           Model generation times            
┏━━━━━━━━━━━┳━━━━━━━━━┳━━━━━━┳━━━━━━━━━━━━━━┓
┃ Iteration ┃ Seconds ┃ Jobs ┃ Time per job ┃
┡━━━━━━━━━━━╇━━━━━━━━━╇━━━━━━╇━━━━━━━━━━━━━━┩
│         1 │   0.038 │    1 │        0.038 │
│         2 │   0.126 │    1 │        0.126 │
│         3 │   3.424 │    1 │        3.424 │
├───────────┼─────────┼──────┼──────────────┤
│   Average │   1.196 │      │              │
│    Median │   0.126 │      │              │
│     Total │   3.587 │      │              │
│       Max │   3.424 │      │              │
│       Min │   0.038 │      │              │
└───────────┴─────────┴──────┴──────────────┘

Arguments Overview

Key	Value
config_yaml	None
config_toml	None
config_json	None
num_random_steps	2
max_eval	3
run_program	[['Li8udGVzdHMvb3B0aW1pemF0aW9uX2V4YW1wbGUgIC0taW50X3BhcmFtPSclKGludF9wYXJhbSknIC0tZmxvYXRfcGFyYW09Jy…
experiment_name	__main__tests__BOTORCH_MODULAR___local_nogridsearch
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/admin
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
disable_notifications	True
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	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
nr_evals_per_arm	1
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	5
slurm_use_srun	False
time	60
partition	alpha
reservation	None
force_local_execution	True
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
1786358932,752.8203125,91.5

`RESULT` (goal: minimize)

Best value: -235786.12
Achieved at:
- OO_Info_int_param_two = -100 (r=0.91, strong positive correlation)
- int_param_two = -100 (r=0.91, strong positive correlation)
- OO_Info_float_param = -100 (r=0.908, strong positive correlation)
- float_param = -100 (r=0.908, strong positive correlation)
- OO_Info_choice_param = 2 (r=0.663, moderate positive correlation)
- choice_param = 2 (r=0.663, moderate positive correlation)
- OO_Info_int_param = -35 (r=-0.04, weak negative correlation)
- int_param = -35 (r=-0.04, weak negative correlation)
- run_time = 6 (r=0, weak negative 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.

Parameter statistics

Parameter	Min	Max	Mean	Std Dev	Count
run_time	6	6	6	0	3
OO_Info_int_param	-58	6	-29	26.4701	3
OO_Info_int_param_two	-100	0	-53	41.0447	3
OO_Info_float_param	-100	1.5187	-52.472	41.696	3
OO_Info_choice_param	2	4	2.6667	0.9428	3
RESULT	-235786.12	-40414.9172	-119231.4484	84105.4978	3
int_param	-58	6	-29	26.4701	3
float_param	-100	1.5187	-52.472	41.696	3
int_param_two	-100	0	-53	41.0447	3
choice_param	2	4	2.6667	0.9428	3