Releases: seqcode/TPCAV
Release list
0.9.11
0.9.10
Minor fix: put pca evaluation calculation on cpu to avoid OOM on GPU
Improvement: add download buttons for tables in html report
Full Changelog: 0.9.9...0.9.10
0.9.9
Add heuristic way to determine # samples per concept when it's not specified
Full Changelog: 0.9.8...0.9.9
0.9.8
Small bug fix, improving messaging, especially on reporting quality of PCA transformation
Full Changelog: 0.9.7...0.9.8
0.10.1a
Add multiple features by claude:
- Improve loading data from npy file to reduce memroy footprint by avoid array copy
- add new de_corr backend using a single linear layer with loss function on covariance matrix, this allows tpcav works at big models
- performance optimization at multiple places
Full Changelog: 0.9.6...0.10.1a
0.9.7
Improve memory usage when evaluating classifier
Full Changelog: 0.9.6...0.9.7
0.9.6
Fix a bug that storing attributed layer in tpcav model causes captum to register hook twice on the same module
Full Changelog: 0.9.5...0.9.6
0.9.5
Now tpcav can take a list of meme files as input, relevant functions have been adjusted
Full Changelog: 0.9.4...0.9.5
0.9.4
Minor bug fix, add drop_last option for iterators and set true to avoid mismatch batch sizes when combining different sources
Full Changelog: 0.9.3...0.9.4