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Functions1,098 in github.com/blackrock/HOLA

⨍ Functions 1,098◇ Types & classes 115↳ Endpoints 1
↓ 1 callersFunctionexample_2d
Optimize the 2D Branin function with ask/tell.
hola-py/examples/basic_optimization.py:51
↓ 1 callersMethodexploration_budget
The exploration budget of the underlying `auto` strategy, if any. Used after a resume to re-anchor the refit schedule to the checkpoint's real budget
hola/src/hola_engine.rs:580
↓ 1 callersFunctionextract_param_config
(obj: &Bound<'_, PyAny>)
hola-py/src/lib.rs:318
↓ 1 callersFunctionfetchCompletedTrial
(trialId)
dashboard/app.js:228
↓ 1 callersFunctionfindBest
()
dashboard/app.js:502
↓ 1 callersFunctionforrester
Forrester et al. (2008). Domain: x in [0, 1]. Min: -6.0267.
hola-py/benchmarks/functions/single_objective.py:38
↓ 1 callersFunctionga_adapter
()
hola-py/benchmarks/adapters/pymoo_single.py:89
↓ 1 callersFunctionget_all_optimizers
()
hola-py/benchmarks/runner/run_multi_objective.py:27
↓ 1 callersFunctionget_all_optimizers
()
hola-py/benchmarks/runner/run_single_objective.py:34
↓ 1 callersMethodget_refit_config
Get the current refit configuration.
opt_engine/src/strategies/gmm.rs:880
↓ 1 callersFunctiongroupsOf
dashboard/app.js:328
↓ 1 callersFunctionhandleEngineEvent
(event)
dashboard/app.js:217
↓ 1 callersFunctionhandleStreamEvent
(chunk)
dashboard/app.js:198
↓ 1 callersFunctionhooke_jeeves_adapter
()
hola-py/benchmarks/adapters/pymoo_single.py:110
↓ 1 callersFunctionisParetoAxisPair
(xField, yField)
dashboard/app.js:815
↓ 1 callersFunctionis_feasible_multi
(observation: &BTreeMap<String, f64>)
opt_engine/src/leaderboard.rs:498
↓ 1 callersFunctionis_feasible_scalar
(observation: f64)
opt_engine/src/leaderboard.rs:490
↓ 1 callersFunctionis_local_host
(host: &str)
hola-cli/src/main.rs:103
↓ 1 callersFunctionkmeans_pp_init
K-means++ initialization for GMM fitting.
opt_engine/src/strategies/gmm.rs:590
↓ 1 callersFunctionload_config
(path: &PathBuf)
hola-cli/src/main.rs:97
↓ 1 callersMethodlog_pdf
(&self, x: &DVectorView<f64>)
opt_engine/src/strategies/gmm.rs:158
↓ 1 callersFunctionmain
()
hola-py/examples/multi_objective.py:53
↓ 1 callersFunctionmain
()
hola-py/examples/categorical_demo.py:47
↓ 1 callersFunctionmain
()
hola-py/examples/gmm_explore_exploit.py:96
↓ 1 callersFunctionmain
()
hola-py/examples/dashboard_stress_test.py:64
↓ 1 callersFunctionmain
()
hola-py/examples/ml_hyperparameters.py:55
↓ 1 callersFunctionmain
()
hola-py/benchmarks/__main__.py:20
↓ 1 callersFunctionmain
(args: argparse.Namespace | None = None)
hola-py/benchmarks/runner/run_multi_objective.py:38
↓ 1 callersFunctionmain
(args: argparse.Namespace | None = None)
hola-py/benchmarks/runner/run_single_objective.py:49
↓ 1 callersFunctionmain
()
hola-py/benchmarks/plotting/multi_objective.py:80
↓ 1 callersFunctionmain
()
hola-py/benchmarks/plotting/single_objective.py:103
↓ 1 callersMethodmax_size
The current retention cap, if any. `None` means unbounded.
hola/src/hola_engine.rs:1011
↓ 1 callersFunctionmax_trials_config
(max_trials: usize)
hola/tests/integration/server.rs:822
↓ 1 callersMethodmigrate_for_objectives
(&mut self, objectives: &[ObjectiveConfig])
hola/src/hola_engine.rs:1125
↓ 1 callersFunctionmin_max_normalize
Per (problem, budget), normalize value_col to [0, 1] via min-max. 0 = best, 1 = worst across all optimizers for that (problem, budget).
hola-py/benchmarks/data/normalize.py:19
↓ 1 callersFunctionmulti_objective_config
()
hola/tests/integration/server.rs:847
↓ 1 callersMethodn_components
(&self)
opt_engine/src/strategies/gmm.rs:341
↓ 1 callersFunctionnelder_mead_adapter
()
hola-py/benchmarks/adapters/pymoo_single.py:103
↓ 1 callersMethodnext_trial_id
(&self)
hola/src/hola_engine.rs:1056
↓ 1 callersMethodnext_trial_id
Return the next ID that can be assigned without reusing a stored trial ID.
opt_engine/src/leaderboard.rs:400
↓ 1 callersMethodnormalize_next_trial_id
(&mut self)
hola/src/hola_engine.rs:1075
↓ 1 callersFunctionobservationToScoreVector
(observation)
dashboard/app.js:313
↓ 1 callersMethodobservation_kind
The observation topology of this leaderboard, used to tag checkpoints so loads do not have to guess Scalar-vs-Vector from current objectives.
hola/src/hola_engine.rs:1042
↓ 1 callersMethodoptimize
( self, problem: SingleObjectiveProblem, budget: int, seed: int, )
hola-py/benchmarks/adapters/optuna_adapter.py:39
↓ 1 callersMethodparam_info
(&self)
hola/src/hola_engine.rs:186
↓ 1 callersMethodparams
Get a clone of the current GMM parameters.
opt_engine/src/strategies/gmm.rs:761
↓ 1 callersMethodpareto_front_completed
Return trials on a specific Pareto front as CompletedTrial. Returns an empty list for scalar (single-group) studies, since Pareto ranking only applie
hola/src/hola_engine.rs:1332
↓ 1 callersMethodpareto_front_for
Compute the Pareto front considering only specific objectives. Only considers feasible trials. Useful when you want to focus on a subset of objective
opt_engine/src/leaderboard.rs:859
↓ 1 callersMethodpareto_rank_of
Compute the 0-indexed Pareto front membership of a single trial without cloning trials or running a full non-dominated sort of every front. The resul
opt_engine/src/leaderboard.rs:987
↓ 1 callersFunctionplot_box_per_benchmark
Box plot per benchmark showing distribution across runs.
hola-py/benchmarks/plotting/single_objective.py:70
↓ 1 callersFunctionplot_hv_by_budget
Bar plot of median hypervolume per optimizer, grouped by budget.
hola-py/benchmarks/plotting/multi_objective.py:26
↓ 1 callersFunctionplot_metrics_table
Generate summary table of median metrics per (problem, optimizer, budget).
hola-py/benchmarks/plotting/multi_objective.py:63
↓ 1 callersFunctionpreviewObjectives
()
dashboard/app.js:1223
↓ 1 callersFunctionpso_adapter
()
hola-py/benchmarks/adapters/pymoo_single.py:96
↓ 1 callersMethodpush_with_raw
( &mut self, trial_id: u64, candidate: serde_json::Value, raw_metrics: serde_j
hola/src/hola_engine.rs:1018
↓ 1 callersFunctionpy_to_json
(obj: &Bound<'_, PyAny>)
hola-py/src/lib.rs:1343
↓ 1 callersMethodreconcile_after_refit
(&mut self, live: &Self)
opt_engine/src/strategies/gmm.rs:929
↓ 1 callersMethodrecord_cancelled
Record a cancelled trial id and bound the retained set. The set only feeds the tell-after-cancel rejection message (reuse is already impossible via t
hola/src/hola_engine.rs:1636
↓ 1 callersFunctionrenderObjectives
()
dashboard/app.js:1128
↓ 1 callersFunctionrenderParetoDropdowns
()
dashboard/app.js:659
↓ 1 callersFunctionresolve_checkpoint_path
( state: &ServerState, requested: &str, )
hola/src/server.rs:250
↓ 1 callersFunctionrun
()
dashboard/tests/xss_dom.test.mjs:123
↓ 1 callersFunctionrun_multi_objective
Run all multi-objective benchmarks.
hola-py/benchmarks/runner/executor.py:159
↓ 1 callersFunctionrun_single_objective
Run all single-objective benchmarks.
hola-py/benchmarks/runner/executor.py:64
↓ 1 callersMethodsample_unclamped
Sample from the GMM (unclamped).
opt_engine/src/strategies/gmm.rs:350
↓ 1 callersFunctionscalar_leaderboard
(n: usize)
opt_engine/tests/integration/leaderboard_scalability.rs:32
↓ 1 callersMethodselect_nsga2_all
Select top-k trials using NSGA-II criteria, including infeasible.
opt_engine/src/leaderboard.rs:1295
↓ 1 callersMethodserialize
(&self, serializer: S)
hola/src/hola_engine.rs:492
↓ 1 callersFunctionsetApiToken
(token)
dashboard/app.js:58
↓ 1 callersMethodshould_checkpoint
Check if a checkpoint should be created at this trial count.
opt_engine/src/persistence.rs:519
↓ 1 callersMethodshould_refit
(&self, n_trials: usize)
opt_engine/src/traits.rs:223
↓ 1 callersFunctionsobol_config
(seed: u64)
hola/tests/integration/server.rs:53
↓ 1 callersFunctionsobol_strategy_test_config
(seed: u64)
hola/tests/integration/hola_engine.rs:1821
↓ 1 callersFunctionsortTable
(col)
dashboard/app.js:1119
↓ 1 callersFunctionsphere
Sphere function: f(x, y) = x^2 + y^2. Global minimum at (0, 0).
hola/tests/integration/end_to_end.rs:19
↓ 1 callersFunctionstartStream
()
dashboard/app.js:136
↓ 1 callersFunctionstartup
()
dashboard/app.js:1366
↓ 1 callersMethodstudy_config
Reconstruct the `StudyConfig` from the engine's internal state. This is used to persist the config alongside checkpoint data so that `Study.load()` c
hola/src/hola_engine.rs:2077
↓ 1 callersFunctionsumScore
dashboard/app.js:343
↓ 1 callersMethodto_param_config
(&self)
hola/src/hola_engine.rs:159
↓ 1 callersMethodto_unit_cube
(&self, point: &Self::Domain)
opt_engine/src/strategies/sobol.rs:378
↓ 1 callersMethodtop_k_completed
Return top-k trials as CompletedTrial.
hola/src/hola_engine.rs:1318
↓ 1 callersFunctiontrain_and_evaluate
Train a GBM with the given hyperparameters and return CV loss.
hola-py/examples/ml_hyperparameters.py:36
↓ 1 callersFunctionunauthorized
()
hola/src/server.rs:185
↓ 1 callersMethodupdate
(&mut self, _candidate: &S::Domain, _result: Obs)
opt_engine/src/strategies/random.rs:134
↓ 1 callersFunctionupdateStats
()
dashboard/app.js:477
↓ 1 callersFunctionupsertTrial
(trial)
dashboard/app.js:234
↓ 1 callersFunctionvalidate_space_config
(space: &BTreeMap<String, ParamConfig>)
hola/src/hola_engine.rs:751
↓ 1 callersFunctionvalidate_strategy_config
(strategy: &StrategyConfig)
hola/src/hola_engine.rs:894
↓ 1 callersFunctionvalidate_study_config
(config: &StudyConfig)
hola/src/hola_engine.rs:734
↓ 1 callersFunctionvector_checkpoint_config
()
hola/tests/integration/hola_engine.rs:1486
↓ 1 callersFunctionvector_leaderboard
(n: usize)
opt_engine/tests/integration/leaderboard_scalability.rs:41
↓ 1 callersFunctionwireEvents
()
dashboard/app.js:1345
Method__init__
(self, output_dir: Path)
hola-py/benchmarks/data/persistence.py:30
Method__init__
(self, problem: SingleObjectiveProblem)
hola-py/benchmarks/adapters/pymoo_single.py:35
Method__init__
(self, name: str, algorithm_factory: Any)
hola-py/benchmarks/adapters/pymoo_single.py:55
Method__init__
(self, spacing: int = 4)
hola-py/benchmarks/adapters/igr_adapter.py:36
Method__init__
(self, strategy: str = "gmm")
hola-py/benchmarks/adapters/hola_adapter.py:36
Method__init__
(self, strategy: str = "gmm")
hola-py/benchmarks/adapters/hola_adapter.py:90
Method__init__
(self, problem: MultiObjectiveProblem)
hola-py/benchmarks/adapters/pymoo_multi.py:34
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