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
nan	nan	nan	nan	-99	-91.…	1	-41	-2231…

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

Git-Version

Commit: 5979b437922f95577d041c6f1a3ca8713470dbad (10024-5-g5979b4379)

         Job submission durations          
┏━━━━━━━━━┳━━━━━━━━━┳━━━━━━┳━━━━━━━━━━━━━━┓
┃   Batch ┃ Seconds ┃ Jobs ┃ Time per job ┃
┡━━━━━━━━━╇━━━━━━━━━╇━━━━━━╇━━━━━━━━━━━━━━┩
│       1 │   0.213 │    1 │        0.213 │
│       2 │   0.063 │    1 │        0.063 │
├─────────┼─────────┼──────┼──────────────┤
│ Average │   0.138 │      │              │
│  Median │   0.138 │      │              │
│   Total │   0.276 │      │              │
│     Max │   0.213 │      │              │
│     Min │   0.063 │      │              │
└─────────┴─────────┴──────┴──────────────┘

           Model generation times            
┏━━━━━━━━━━━┳━━━━━━━━━┳━━━━━━┳━━━━━━━━━━━━━━┓
┃ Iteration ┃ Seconds ┃ Jobs ┃ Time per job ┃
┡━━━━━━━━━━━╇━━━━━━━━━╇━━━━━━╇━━━━━━━━━━━━━━┩
│         1 │   0.784 │    1 │        0.784 │
│         2 │   1.277 │    1 │        1.277 │
├───────────┼─────────┼──────┼──────────────┤
│   Average │   1.031 │      │              │
│    Median │   1.031 │      │              │
│     Total │   2.061 │      │              │
│       Max │   1.277 │      │              │
│       Min │   0.784 │      │              │
└───────────┴─────────┴──────┴──────────────┘

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
1793090337,921.08203125,27.6

`RESULT` (goal: minimize)

Best value: -223179.001998
Achieved at:
- int_param = -99 (r=0.922, strong positive correlation)
- float_param = -91.82379975915 (r=0.668, moderate positive correlation)
- int_param_two = -41 (r=-0.492, moderate 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.

Convergence Analysis

Parameter statistics

Parameter	Min	Max	Mean	Std Dev	Count
run_time	6	6	6	0	2
OO_Info_int_param	-100	-100	-100	0	2
OO_Info_int_param_two	-16	8	-4	12	2
OO_Info_float_param	-100	-57.3883	-78.6942	21.3058	2
OO_Info_choice_param	1	1	1	0	2
RESULT	-223179.002	-53175.513	-147478.8159	67568.03	6
int_param	-100	7	-68.1667	43.195	6
float_param	-100	-1.3979	-50.277	38.7018	6
choice_param	No numerical statistics available
int_param_two	-80	8	-40.5	29.6015	6