OmniOpt2

Experiment overview

Setting	Value
Model for non-random steps	BOTORCH_MODULAR
Max. nr. evaluations	5
Number random steps	2
Nr. of workers (parameter)	5

Job Summary per Generation Node

Generation Node	Total	COMPLETED
SOBOL	2	2

Experiment parameters

Name	Type	Lower bound	Upper bound	Type	Log Scale?
x	range	123	1000	int	No
y	range	1234	5431	float	No

Number of evaluations

Failed	Succeeded	Running	Total
0	2	0	2

Result names and types

name	min/max
RESULT	min

Git-Version

Commit: 641809af8e4af42f142e7f078b4e38fd9a5b2ace

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,x,y
0,1786623983,2,95812ce0-cdce-46bc-9fed-f283f6d44f8e,1786623985,1786623991,6,echo "RESULT: 1382171.09264169633388519287",0,,runnervmvrwv9,0_0,COMPLETED,SOBOL,1382171.09264169633388519287109375,138,2171.09264169633388519287109375
1,1786623993,2,95812ce0-cdce-46bc-9fed-f283f6d44f8e,1786623995,1786624001,6,echo "RESULT: 7313700.5521459551528096199",0,,runnervmvrwv9,1_0,COMPLETED,SOBOL,7313700.552145955152809619903564453125,731,3700.552145955152809619903564453125

Arguments Overview

Key	Value
install	False
config_yaml	None
config_toml	None
config_json	None
num_random_steps	2
max_eval	5
run_program	[['ZWNobyAiUkVTVUxUOiAlKHgpJSh5KSI=']]
experiment_name	pip_test_experiment
mem_gb	1
parameter	[['x', 'range', '123', '1000', 'int', 'false'], ['y', 'range', '5431', '1234', 'float', 'false']]
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	50
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	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	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
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	5
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	1
dependency	None
run_mode	local
verbose	True
verbose_break_run_search_table	False
debug	True
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
1786623981,897.23046875,28.9

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

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	2
RESULT	1382171.0926	7313700.5521	4347935.8224	2965764.7298	2
x	138	731	434.5	296.5	2
y	2171.0926	3700.5521	2935.8224	764.7298	2

submitit INFO (2026-08-13 12:26:23,523) - Starting with JobEnvironment(job_id=11240, hostname=runnervmvrwv9, local_rank=0(1), node=0(1), global_rank=0(1))
submitit INFO (2026-08-13 12:26:23,523) - Loading pickle: /home/runner/work/OmniOpt/OmniOpt/runs/pip_test_experiment/1/single_runs/11240/11240_submitted.pkl
Trial-Index: 0

Parameters: {"x": 138, "y": 2171.092641696334}
Debug-Infos: 
echo "RESULT: 1382171.09264169633388519287"
stdout:
 RESULT: 1382171.09264169633388519287

stderr was empty
Result: {'RESULT': 1382171.0926416963}
Final-results: {'RESULT': 1382171.0926416963}
EXIT_CODE: 0
submitit INFO (2026-08-13 12:26:31,025) - Job completed successfully
submitit INFO (2026-08-13 12:26:31,025) - Exiting after successful completion