Index

A

adjusted Rand index, [1], [2] agreement agreement with known classes allow_pickle, [1] alpha, [1] alpha elements API, [1] APOGEE

APOGEE table ARI artifact result directory ASPCAP assigned rows auto engine

B

backend agreement, [1] backend_disagreement BackendAgreement (class in starfold)

beats_default_under_objective benchmark BibTeX budget, [1]

C

calibration copy p-value two-stage calibration test, [1] result checksum, [1] CITATION.cff citing claim group count what you may say Clopper-Pearson interval cluster co-association, [1], [2], [3] cut failure column columns choice of community, [1] compare_backends, [1] compare_backends() (in module starfold) concepts confidence interval Config n_resamples n_trials n_worlds scaling

Config (class in starfold) consensus agreement metric consensus check, [1] consensus_disagrees consensus_subsampled contrast, [1] metric copy calibration count interval, [1], [2], [3] metric count of groups plot count_interval count_unstable coverage, [1] metric coverage-adjusted ARI CPU cuML CPU fallback cuML, [1], [2] CPU n_jobs

D

default comparison metric default_params() (in module starfold) default_within_noise, [1]

deployed settings, [1] dex, [1] digits distortion UMAP

E

embedding, [1] engine, [1], [2] auto error messages estimand

example handwritten digits example paragraph exceedance external links

F

fault flag finite values input first run fits flag, [1], [2], [3], [4], [5] fault

FLAG_VOCABULARY flags vocabulary fresh re-score, [1] fresh score from_dict() (starfold.Params class method) full fit, [1]

G

Gaia galpy gap, [1], [2] metric gap plot gap statistic Gaussian copula, [1] generate_null() (in module starfold) generator family geometric mean, [1]

glossary GPU install graph, [1] group, [1], [2], [3] group count claim quoting group properties, [1] group recurrence group_recurrence_band

H

handwritten digits example HDBSCAN, [1] strengths

HDBSCAN strength held-out rows high_unresolved_mass how to report a run how-to guides

I

index metric input finite values

input fingerprint install GPU

J

Jaccard index, [1]

job array joint coverage

K

kept rows, [1]

kept_rows known labels

L

label-free score search labels post hoc language rules refit

learn more learning path library defaults, [1] limits load, [1], [2] load() (in module starfold)

M

manifest manifest.json marginal, [1] measurement draw refit measurement errors measurement_sampler metric consensus agreement contrast count interval coverage default comparison gap index modularity p-value prediction agreement property band recurrence score strength support unresolved mass

metrics min_cluster_size, [1], [2] min_dist, [1] min_samples, [1] missing values modularity, [1] metric Monte Carlo interval, [1]

N

n_components, [1] n_groups (starfold.Result property) n_jobs cuML n_neighbors, [1], [2] n_null_max n_resamples Config n_trials Config n_worlds Config

nearest neighbours, [1] neighbour graph Newman modularity noise, [1], [2], [3] noise share normalised agreement notebook null hypothesis, [1] null_not_run null_test, [1] null_test() (in module starfold) NullEvidence (class in starfold)

O

objective Optuna, [1]

outliers own support, [1], [2] own_support

P

p-value, [1], [2] calibration metric paired_differences paper wording papers parallel Params (class in starfold) partition pipeline stages plot count of groups plots

post hoc labels post hoc check, [1] posterior, [1] prediction agreement, [1] metric probabilities_ property band metric property_band property_median provenance, [1], [2] pruning, [1] purity, [1] Python version

R

random_state seed raw_score recover, [1], [2] recover() (in module starfold) recurrence, [1], [2], [3], [4] metric recurrence plot reference references refit, [1], [2] language rules measurement draw

refit agreement reporting reproducibility, [1], [2] Result (class in starfold) result attributes result directory artifact result fields robust scaling row run time

S

save, [1], [2] save and load save() (in module starfold) scaling, [1] Config score, [1], [2], [3] metric search label-free score space search space setting search() (in module starfold.search) SearchResult (class in starfold) seed, [1] random_state seed sweep selected_is_default selection method, [1] setting, [1] search space settings search SLURM small groups merge

Sobol design, [1] Space, [1] space (class in starfold) search Spearman correlation stability (TrialRecord attribute) stability interval, [1], [2], [3], [4] stable versus true stages pipeline standard scaling Starfold what it claims strength metric strengths, [1] HDBSCAN structure_supported, [1] structureless copy, [1], [2], [3] support, [1], [2] metric support (starfold.Result property) symptoms

T

table preparation terms to_dict() (starfold.Params method) TPE, [1] trial, [1] trial 0 troubleshooting

tutorial APOGEE APOGEE, part 2 digits digits, part 2 two-stage calibration

U

UMAP, [1] distortion uncertainties units

unresolved unresolved mass, [1] metric unresolved_mass (starfold.Result property)

W

what it claims Starfold what you may say claim

winner's curse, [1] worker processes world WorldEvidence (class in starfold) WSL 2

X

X_err