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Multimodal-PyHealth
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PyHealth
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Guard pretrained transfer, normalise content scale, and fit the standardiser on the full split
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Guard pretrained transfer, normalise content scale, and fit the standardiser on the full split
#48
rianfyi
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Multimodal-PyHealth/PyHealth:main
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feat/ssl-pretraining-and-encoders
Multimodal-PyHealth/PyHealth:feat/ssl-pretraining-and-encoders
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Commits on Aug 11, 2026
Guard pretrained transfer, normalise content scale, fit the standardiser on the full split
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Commits on Aug 12, 2026
Mask batch padding in the unified sequence, and read observation flags from the right field
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Drive the standardiser fit from the region of interest, not the parent index map
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Record padding in the collate the dataloader actually uses
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Pad every ragged dimension in the collate, not only dimension 0
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Separate the token mask from the padding mask in the unified embedding
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Commits on Aug 13, 2026
Key the frozen text cache on real tokens, not on batch padding
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Name the standardiser provenance as region_of_interest, not the parent map
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Commits on Aug 18, 2026
Keep padding_idx=0 on nested code embeddings.
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Thread collate pad_mask through the unified MLP path.
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