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LadnerLab
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PepSeqPred
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Fix/multi pathogen training
- #89
#89
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jeffreyHoelzel
merged 12 commits into
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LadnerLab/PepSeqPred:main
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fix/multi-pathogen-training
LadnerLab/PepSeqPred:fix/multi-pathogen-training
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Jun 23, 2026
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Fix/multi pathogen training
#89
jeffreyHoelzel
merged 12 commits into
main
LadnerLab/PepSeqPred:main
from
fix/multi-pathogen-training
LadnerLab/PepSeqPred:fix/multi-pathogen-training
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Commits on May 22, 2026
docs: added markdown descriptions of bugs/areas to refactor to improve multi-dataset training/validation
jeffreyHoelzel
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d5e1b28
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fix: implemented check to verify actionable embeddings exist before back prop and optimizer step
jeffreyHoelzel
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b432ead
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fix: implemented DDP global valid-residue loss fix so training backprops a globally-normalized residue loss
jeffreyHoelzel
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fix: refactored validation to not use overlapping windowed residues, reducing chances of duplicated residues being counted as one
jeffreyHoelzel
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ca4b910
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refactor: implemented train-only automatic positive class weighting using train loader instead of labels, removed stale CLI args
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Commits on May 26, 2026
refactor/feat: added threshold-policy selection, added majority vs mean-prob aggregation to prediction/evaluation CLIs
jeffreyHoelzel
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Commits on May 27, 2026
feat: added new label-stratification method which attempts to balance label support with family grouping so each fold gets a better idea of positive vs negative classes
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refactor/feat: replaced training entry-points with general entry-points, added new convolutional head to enforce peptide-level consistency
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Commits on Jun 8, 2026
refactor: implemented CLI flags for appending sequence length to end of each residue embedding; none, raw (i.e., 1476), or inverse (i.e., 1 / 1476)
jeffreyHoelzel
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Commits on Jun 22, 2026
fix: implemented synchronized uneven-loader training using dummy tensors in uneven data distribution across ranks, implemented small doc changes
jeffreyHoelzel
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feat: added metadata arguments to embedding generation shell script
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Commits on Jun 23, 2026
feat: added subset environment variable to training for testing
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