Replace xgboost - #3

Merged

absternator merged 34 commits into

replace-xgboost

Aug 26, 2026

Commits on Jul 6, 2026

Revert "chore: drop committed coverage and metrics"
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f3439e0
fix: update minimum prevalence filter to 0.01 and adjust assertions accordingly
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90378e8
update to correct data preprocessing
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7d037e8

Commits on Jul 8, 2026

update data loading
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d3f9d70

Commits on Jul 10, 2026

feat: consolidate "replace XGBoost" findings into a single test file with updated model configurations and calibration methods
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7ba02b4

Commits on Jul 13, 2026

get working umnn
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19d5e2a

Commits on Jul 14, 2026

get rqs v1
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65173d4
cleanup rqs logic
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5aaeec5

Commits on Jul 15, 2026

Commits on Jul 16, 2026

Refactor checkpointing in training process and add sweep configuration
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7b1a9c5
fix checkpointing dir
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75588fd

Commits on Jul 17, 2026

refactor + remove umnn
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3ac2fdd
feat: Introduce model configuration and feature handling for RQS training
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d1e2b51
changes to config
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d0dd8e3

Commits on Aug 5, 2026

Add model export functionality and sweep configuration for HBR EIR
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923a369

Commits on Aug 6, 2026

fix: remove .log from .gitignore to clean up ignored files
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fb49413

Commits on Aug 7, 2026

tests + scaler updates
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9ccb0cd
save conformal so can be used by hf loaded weights
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2f71f87
random
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1313eb3
remove: delete unused random.py file
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b42665a

Commits on Aug 13, 2026

Commits on Aug 14, 2026

easy pr changes
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1ad2124

Commits on Aug 16, 2026

Refactor loss functions and training steps to support weighted losses; update configuration and tests accordingly
absternator
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8cf0906

Commits on Aug 25, 2026