Feat PyTorch calibrator and two-phase training pipeline#190

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JemmaLDaniel wants to merge 38 commits into

feat-hf-feature-customisationfrom

feat-pytorch-calibrator

Commits on Apr 11, 2026

Merge branch 'fix-per-experiment-irt-regression' into feat-pytorch-calibrator
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feat: experiment-aware data loading for compute-features
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feat: add option to compute feature matrix in compute-features
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feat: add FeatureDataset, resolve_data_path and dependencies for torch models
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feat: rewrite ProbabilityCalibrator with PyTorch and safetensors, adding training history recording
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feat: two-phase training pipeline with optional validation splitting
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chore: update configs for PyTorch calibrator and two-phase training
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test: update and extend tests
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chore: ignore saved safetensors
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docs: update ProbabilityCalibrator and RetentionTimeFeature docs
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chore: add docs and package build Make commands
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Commits on Apr 12, 2026

Merge branch 'feat-prediction-column-remapping-for-instanovo-backwards-compatibility' into feat-pytorch-calibrator
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Commits on Jun 22, 2026

Commits on Jun 25, 2026

Commits on Jun 27, 2026