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Fill 3% missing MACE preds #90

Merged
merged 13 commits into from
Feb 9, 2024
Merged

Fill 3% missing MACE preds #90

merged 13 commits into from
Feb 9, 2024

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janosh
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@janosh janosh commented Feb 8, 2024

c5796d0 rerun MACE-MP medium to fill in 3% missing predictions from earlier failed slurm jobs
8663cdc fix uniq-proto DAF calculation
464490f update model stats
dc1aa55 add Bowen Deng to citation.cff
74163b1 update /preprint and references.yaml to match journal submission
591ab2a fix: errors in DAF due to prevalence being distorted by NaN
c2ebe94 fix: don't look at len when calculating prevalence
5481031 regen metrics-table*.svelte + model-stats*.json
62350b6 fix ruff: include counts in filling NaNs err msg

@janosh janosh added qa Quality assurance analysis New model analysis fix Bug fix labels Feb 8, 2024
SI unfinished, few figures near the bottom need to have Svelte versions made (PDF only)
)

n_total_pos = n_true_pos + n_false_neg
n_total_neg = n_true_neg + n_false_pos
# prevalence: dummy discovery rate of stable crystals by selecting randomly from
# all materials
prevalence = n_total_pos / len(each_true)
prevalence = n_total_pos / (n_total_pos + n_total_neg)
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you may wish to revert this I'm not 100% sure whether the prevalence should adjust

@janosh janosh merged commit 1dcb588 into main Feb 9, 2024
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@janosh janosh deleted the fill-mace-missing-preds branch February 9, 2024 07:10
@janosh janosh added the mlff Concerning machine learning force fields label Aug 22, 2024
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2 participants