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)

x	y	z	a	RESULT
936.5323260499529	802.4442140116768	-935.6000814737948	-902.028478696779	-32108225.179011695

Job Summary per Generation Node

Generation Node	Total	COMPLETED
SOBOL	1	1
BOTORCH_MODULAR	1	1

Experiment parameters

Name	Type	Lower bound	Upper bound	Type	Log Scale?
x	range	-1000	1000	float	No
y	range	-1000	1000	float	No
z	range	-1000	1000	float	No
a	range	-1000	1000	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: ad0f471c5d8a70c3229d4ecc7250fbc28a86eee0 (9808)

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,z,a
0,1787458342,5,60e843c5-0ded-4ba9-a283-c04160760bc0,1787458347,1787458353,6,.tests/optimization_example_all_float  --x=13.90135288238525390625 --y=-509.17589664459228515625 --z=973.54972362518310546875 --a=960.46054363250732421875 --nr_results=1,0,,runnervm76f27,0_0,COMPLETED,SOBOL,-21159525.63494522869586944580078125,13.90135288238525390625,-509.17589664459228515625,973.54972362518310546875,960.46054363250732421875
1,1787458355,4,60e843c5-0ded-4ba9-a283-c04160760bc0,1787458359,1787458365,6,.tests/optimization_example_all_float  --x=936.53232604995287147176 --y=802.44421401167676322075 --z=-935.60008147379483034456 --a=-902.02847869677896142093 --nr_results=1,0,,runnervm76f27,1_0,COMPLETED,BOTORCH_MODULAR,-32108225.179011695086956024169921875,936.532326049952871471759863197803,802.444214011676763220748398452997,-935.600081473794830344559159129858,-902.028478696778961420932319015265

         Job submission durations          
┏━━━━━━━━━┳━━━━━━━━━┳━━━━━━┳━━━━━━━━━━━━━━┓
┃   Batch ┃ Seconds ┃ Jobs ┃ Time per job ┃
┡━━━━━━━━━╇━━━━━━━━━╇━━━━━━╇━━━━━━━━━━━━━━┩
│       1 │   0.291 │    1 │        0.291 │
│       2 │   0.096 │    1 │        0.096 │
├─────────┼─────────┼──────┼──────────────┤
│ Average │   0.193 │      │              │
│  Median │   0.193 │      │              │
│   Total │   0.387 │      │              │
│     Max │   0.291 │      │              │
│     Min │   0.096 │      │              │
└─────────┴─────────┴──────┴──────────────┘

           Model generation times            
┏━━━━━━━━━━━┳━━━━━━━━━┳━━━━━━┳━━━━━━━━━━━━━━┓
┃ Iteration ┃ Seconds ┃ Jobs ┃ Time per job ┃
┡━━━━━━━━━━━╇━━━━━━━━━╇━━━━━━╇━━━━━━━━━━━━━━┩
│         1 │   0.040 │    1 │        0.040 │
│         2 │   0.375 │    1 │        0.375 │
├───────────┼─────────┼──────┼──────────────┤
│   Average │   0.207 │      │              │
│    Median │   0.207 │      │              │
│     Total │   0.414 │      │              │
│       Max │   0.375 │      │              │
│       Min │   0.040 │      │              │
└───────────┴─────────┴──────┴──────────────┘

Arguments Overview

Key	Value
install	False
config_yaml	None
config_toml	None
config_json	None
num_random_steps	1
max_eval	2
run_program	[['LnRlc3RzL29wdGltaXphdGlvbl9leGFtcGxlX2FsbF9mbG9hdCAgLS14PSUoeCkgLS15PSUoeSkgLS16PSUoeikgLS1hPSUoYS…
experiment_name	example_all_float
mem_gb	4
parameter	[['x', 'range', '-1000', '1000', 'float'], ['y', 'range', '-1000', '1000', 'float'], ['z', 'range',
	'-1000', '1000', 'float'], ['a', 'range', '-1000', '1000', 'float']]
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	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
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
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	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	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
1787458340,907.55078125,26.8

! 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	-32108225.179	-21159525.6349	-26633875.407	5474349.772	2
x	13.9014	936.5323	475.2168	461.3155	2
y	-509.1759	802.4442	146.6342	655.8101	2
z	-935.6001	973.5497	18.9748	954.5749	2
a	-902.0285	960.4605	29.216	931.2445	2