Releases: ntumlgroup/LibMultiLabel
v0.2.0
What's Changed
Document
- Update linear documents: preprocessor API, metrics, and quickstart
https://www.csie.ntu.edu.tw/~cjlin/libmultilabel/
Highlights
Fixes
- Logging: conditional import for transformers (#273)
- Code enhancements, update test scripts, and refactoring
Contributors
Thank you all for your contributions :)
@cjlin1 @Sinacam @Gordon119 @sammer1107 @tic66777 @Eleven1Liu
New Contributors
Welcome @tic66777 🚀
Original release date: Apr 14, 2023
v0.1.11
What's Changed
Fix bugs 🐛
- Fix load data errors
- Update documents to the corresponding changes
Contributors
Thank you all for your contributions :)
Original release date: Feb 23, 2023
v0.1.10
What's Changed
Fix bugs 🐛
- API:
linear.read_libmultilabel_format
can read data from file and dataframe - Update document links
Document
- Add tutorial: An Example of Using Data Stored in Different Forms
Contributors
Thank you all for your contributions :)
@cjlin1 @Gordon119 @will945945945 @Sinacam @maclin726 @Eleven1Liu
Original release date: Feb 19, 2023
v0.1.9
What's Changed
Document
- Reorganize the document (#251)
- Add introduction of API and CLI usage (#252)
- Add linear grid search document (#244)
Highlights
- Add quoting=csv.QUOTE_NONE (#250)
- Add nn load_datasets loading dataframe (#255)
- Add linear preprocessor loading dataframe (#253)
New Contributors
- @ChengYehLi made their first contribution in #250
Original release date: Feb 17, 2023 by @Gordon119
v0.1.8
What's Changed
Document
- Add Grid Search with Sklearn Estimator
- Generate quickstart by sphinx gallery
Highlights
- API change: move
linear.sklearn_helper.*
tolinear.*
Contributors
Thank you all for your contributions :)
@cjlin1 @will945945945 @Gordon119 @Sinacam @Eleven1Liu
Original release date: Feb 8, 2023
v0.1.7
What's Changed
Highlights
- Add linear solver: binary and multiclass
- Add multi-label estimator
- Add log collecting mechanism
- Load best model without retraining after parameter selection
Contributors
Thank you all for your contributions :)
@cjlin1 @JamesLYC88 @Sinacam @Gordon119 @sammer1107 @Eleven1Liu
New Contributors
Welcome @Gordon119 🎉
Original release date: Jan 21, 2023
v0.1.6
What's Changed
Document
- Added BERT quickstart. See the latest document: https://www.csie.ntu.edu.tw/~cjlin/libmultilabel/.
Highlights
- Enabled
early_stopping_metric
and Loss metric - Set multi-class classification automatically
Contributors
Thank you all for your contributions :)
@cjlin1 @Eleven1Liu @sian-chen @JamesLYC88 @Sinacam @will945945945
Original release date: Nov 23, 2022 by @JamesLYC88
v0.1.5
What's Changed
Document
- Added the Command Line Options section in documentation. See the latest document: https://www.csie.ntu.edu.tw/~cjlin/libmultilabel/.
Highlights
- Added support for binary and multi-class classification
- Added re-training with optimal-epochs criterion
- Updated PyTorch version to 1.12
- Added BERT-BASE
- Added a fast basic test on example configs
Contributors
Thank you all for your contributions :)
@cjlin1 @Eleven1Liu @sian-chen @JamesLYC88 @Sinacam @will945945945
Original release date: Sep 30, 2022 by @JamesLYC88
v0.1.3
What's Changed
Document
- Added the User Guide link in documentation. See the latest document: https://www.csie.ntu.edu.tw/~cjlin/libmultilabel/.
Highlights
- Added cost sensitive that optimizes Micro-F1
- Added label and macro options for linear
- Refactored nn.networks
- Added BERT-LWAN and multihead attention
Contributors
Thank you all for your contributions :)
@cjlin1 @Sinacam @ericliu8168 @sian-chen @Eleven1Liu
Original release date: Feb 20, 2022
v0.1.2
What's Changed
Document
- Update installation instructions. See the latest document: https://www.csie.ntu.edu.tw/~cjlin/libmultilabel/.
Highlights
- Decouple linear from torch libraries
- Added linear tests and save k prediction
- Fix Macro-F1 score
Contributors
Thank you all for your contributions :)
@cjlin1 @Sinacam @Eleven1Liu @ericliu8168 @sian-chen
Original release date: Dec 21, 2021