Fuzzy loss#69

Merged

sfluegel05 merged 49 commits intodevfrom

feature-fuzzy-loss

Dec 19, 2024

Commits on Sep 18, 2024

add documentation for pubchem kmeans, update tokens.txt
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update SMILES tokens
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Commits on Sep 19, 2024

replace tnorm by fuzzy implication names
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fix argument linking
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fix semantic loss
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Commits on Sep 20, 2024

add kleene-dienes implication and sigmoidal implications
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fix reichenbach abbreviation rb->rc
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Commits on Sep 24, 2024

fix fuzzy loss evaluation
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Commits on Sep 25, 2024

add epoch-dependent weighting of semantic terms
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fix tensor handling
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fix dynamic loss weights, log weighted and unweighted loss components
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Commits on Sep 26, 2024

no fuzzy loss for epoch<=10
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actually set fuzzy loss to 0 for epoch<=10
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Commits on Sep 27, 2024

fix bce loss
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Commits on Sep 30, 2024

remove skipping first 10 epochs
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Commits on Oct 1, 2024

fix fuzzy loss (now passing the weighted loss components)
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add epoch to analyse_sem output
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add right-aggregated macro-FNR
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Commits on Oct 2, 2024

download ckpt without returning model (return ckpt path instead), improve structure of analyse_sem
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Commits on Oct 4, 2024

fix sigmoidal implication
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add goedel implication
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Commits on Oct 7, 2024

fix implication loss signature
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fix goedel loss
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add error messages
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Commits on Oct 8, 2024

fix sigmoidal implication
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Commits on Oct 9, 2024

add ap metric, results by class to analyse_sem
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fix goedel loss
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Commits on Oct 10, 2024

fix pos scalar typehint
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add epsilon to consequent (for balanced loss with k < 1)
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merge dev into feature-fuzzy-loss
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add parameters to epoch-dependent weighting
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disable strict checkpoint loading
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fix checkpoint loading
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Commits on Oct 14, 2024

add raw file names (temporary fix), add pubchem data to fuzzy eval,
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Commits on Oct 17, 2024

efficiency, minor fixes, changed paths
sfluegel
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Commits on Oct 21, 2024

add elementwise multiplicative fuzzy loss
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Commits on Oct 23, 2024

clean up analyse_sem.py
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fix fuzzy loss mean aggregation
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make fuzzy loss implementation more efficient
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fix device
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Commits on Oct 24, 2024

add max aggregation for fuzzy loss
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Commits on Oct 25, 2024

adapt evaluation to new fuzzy loss
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add binary implication
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Commits on Oct 28, 2024

fix disjointness, binary implication
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add sigmoid
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Commits on Nov 4, 2024

add log- and mean aggregation
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add optional detach from gradients
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Commits on Dec 19, 2024