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
-66	10	-100.0	8	-66	-100.0	10	8	-161510.92

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 09:54:48 (506e9aae-5c6d-4ef5-87a1-68027021d397): BOTORCH_MODULAR, best RESULT: -161510.92, ▁▅█, finishing jobs, finished 1 job

Git-Version

Commit: 97e757583887a9dd5008a08569902036642987e7 (9430-9-g97e757583)

2026-08-10 09:54:04 (506e9aae-5c6d-4ef5-87a1-68027021d397): SOBOL, Started OmniOpt2 run...
2026-08-10 09:54:04 (506e9aae-5c6d-4ef5-87a1-68027021d397): SOBOL, getting new HP set (no sbatch)
2026-08-10 09:54:04 (506e9aae-5c6d-4ef5-87a1-68027021d397): SOBOL, requested 1 jobs, got 1, 0.03 s/job
2026-08-10 09:54:04 (506e9aae-5c6d-4ef5-87a1-68027021d397): SOBOL, eval #1/1 start                    
2026-08-10 09:54:04 (506e9aae-5c6d-4ef5-87a1-68027021d397): SOBOL, starting new job                   
2026-08-10 09:54:04 (506e9aae-5c6d-4ef5-87a1-68027021d397): SOBOL, started new job                    
2026-08-10 09:54:16 (506e9aae-5c6d-4ef5-87a1-68027021d397): SOBOL, new result: RESULT: -88155.631587  
2026-08-10 09:54:17 (506e9aae-5c6d-4ef5-87a1-68027021d397): SOBOL, best RESULT: -88155.631586729, finishing jobs, finished 1 job
2026-08-10 09:54:17 (506e9aae-5c6d-4ef5-87a1-68027021d397): SOBOL, best RESULT: -88155.631586729, getting new HP set (no sbatch)
2026-08-10 09:54:17 (506e9aae-5c6d-4ef5-87a1-68027021d397): SOBOL, best RESULT: -88155.631586729, requested 1 jobs, got 1, 0.08 s/job
2026-08-10 09:54:18 (506e9aae-5c6d-4ef5-87a1-68027021d397): SOBOL, best RESULT: -88155.631586729, eval #1/1 start                    
2026-08-10 09:54:18 (506e9aae-5c6d-4ef5-87a1-68027021d397): SOBOL, best RESULT: -88155.631586729, starting new job                   
2026-08-10 09:54:18 (506e9aae-5c6d-4ef5-87a1-68027021d397): SOBOL, best RESULT: -88155.631586729, started new job                    
2026-08-10 09:54:30 (506e9aae-5c6d-4ef5-87a1-68027021d397): SOBOL, best RESULT: -88155.631586729, new result: RESULT: -136410.308605 
2026-08-10 09:54:31 (506e9aae-5c6d-4ef5-87a1-68027021d397): SOBOL, best RESULT: -136410.308605376, ▁█, finishing jobs, finished 1 job
2026-08-10 09:54:34 (506e9aae-5c6d-4ef5-87a1-68027021d397): BOTORCH_MODULAR, best RESULT: -136410.308605376, ▁█, getting new HP set (no sbatch)
2026-08-10 09:54:34 (506e9aae-5c6d-4ef5-87a1-68027021d397): BOTORCH_MODULAR, best RESULT: -136410.308605376, ▁█, requested 1 jobs, got 1, 2.85 s/job
2026-08-10 09:54:34 (506e9aae-5c6d-4ef5-87a1-68027021d397): BOTORCH_MODULAR, best RESULT: -136410.308605376, ▁█, eval #1/1 start                    
2026-08-10 09:54:34 (506e9aae-5c6d-4ef5-87a1-68027021d397): BOTORCH_MODULAR, best RESULT: -136410.308605376, ▁█, starting new job                   
2026-08-10 09:54:34 (506e9aae-5c6d-4ef5-87a1-68027021d397): BOTORCH_MODULAR, best RESULT: -136410.308605376, ▁█, started new job                    
2026-08-10 09:54:47 (506e9aae-5c6d-4ef5-87a1-68027021d397): BOTORCH_MODULAR, best RESULT: -136410.308605376, ▁█, new result: RESULT: -161510.920000 
2026-08-10 09:54:48 (506e9aae-5c6d-4ef5-87a1-68027021d397): BOTORCH_MODULAR, best RESULT: -161510.92, ▁▅█, finishing jobs, finished 1 job

         Job submission durations          
┏━━━━━━━━━┳━━━━━━━━━┳━━━━━━┳━━━━━━━━━━━━━━┓
┃   Batch ┃ Seconds ┃ Jobs ┃ Time per job ┃
┡━━━━━━━━━╇━━━━━━━━━╇━━━━━━╇━━━━━━━━━━━━━━┩
│       1 │   0.203 │    1 │        0.203 │
│       2 │   0.206 │    1 │        0.206 │
│       3 │   0.216 │    1 │        0.216 │
├─────────┼─────────┼──────┼──────────────┤
│ Average │   0.208 │      │              │
│  Median │   0.206 │      │              │
│   Total │   0.624 │      │              │
│     Max │   0.216 │      │              │
│     Min │   0.203 │      │              │
└─────────┴─────────┴──────┴──────────────┘

           Model generation times            
┏━━━━━━━━━━━┳━━━━━━━━━┳━━━━━━┳━━━━━━━━━━━━━━┓
┃ Iteration ┃ Seconds ┃ Jobs ┃ Time per job ┃
┡━━━━━━━━━━━╇━━━━━━━━━╇━━━━━━╇━━━━━━━━━━━━━━┩
│         1 │   0.028 │    1 │        0.028 │
│         2 │   0.084 │    1 │        0.084 │
│         3 │   2.848 │    1 │        2.848 │
├───────────┼─────────┼──────┼──────────────┤
│   Average │   0.987 │      │              │
│    Median │   0.084 │      │              │
│     Total │   2.961 │      │              │
│       Max │   2.848 │      │              │
│       Min │   0.028 │      │              │
└───────────┴─────────┴──────┴──────────────┘

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
1786355642,751.68359375,73.4

`RESULT` (goal: minimize)

Best value: -161510.92
Achieved at:
- OO_Info_int_param_two = 10 (r=-0.992, strong negative correlation)
- int_param_two = 10 (r=-0.992, strong negative correlation)
- OO_Info_choice_param = 8 (r=-0.942, strong negative correlation)
- choice_param = 8 (r=-0.942, strong negative correlation)
- OO_Info_float_param = -100 (r=0.891, strong positive correlation)
- float_param = -100 (r=0.891, strong positive correlation)
- OO_Info_int_param = -66 (r=0.689, moderate positive correlation)
- int_param = -66 (r=0.689, moderate positive 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	-94	-32	-64	25.3509	3
OO_Info_int_param_two	-74	10	-30.6667	34.3447	3
OO_Info_float_param	-100	-30.4304	-59.215	29.6422	3
OO_Info_choice_param	4	8	6.6667	1.8856	3
RESULT	-161510.92	-88155.6316	-128692.2867	30440.3841	3
int_param	-94	-32	-64	25.3509	3
float_param	-100	-30.4304	-59.215	29.6422	3
int_param_two	-74	10	-30.6667	34.3447	3
choice_param	4	8	6.6667	1.8856	3