Skip to content

Releases: ntumlgroup/LibMultiLabel

v0.2.0

01 Jan 03:56
f60b55b
Compare
Choose a tag to compare

What's Changed

Document

Highlights

  • Add linear tree classifier (#274)
  • Get top-k label names by the decision values (#256)

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

01 Jan 03:55
c5103b4
Compare
Choose a tag to compare

What's Changed

Fix bugs 🐛

  • Fix load data errors
  • Update documents to the corresponding changes

Contributors

Thank you all for your contributions :)

@cjlin1 @Gordon119 @Sinacam

Original release date: Feb 23, 2023

v0.1.10

01 Jan 03:54
5e22ef3
Compare
Choose a tag to compare

What's Changed

Fix bugs 🐛

  • API: linear.read_libmultilabel_format can read data from file and dataframe
  • Update document links

Document

Contributors

Thank you all for your contributions :)

@cjlin1 @Gordon119 @will945945945 @Sinacam @maclin726 @Eleven1Liu

Original release date: Feb 19, 2023

v0.1.9

01 Jan 03:51
f3b14c0
Compare
Choose a tag to compare

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

Original release date: Feb 17, 2023 by @Gordon119

v0.1.8

01 Jan 03:50
d7f7779
Compare
Choose a tag to compare

What's Changed

Document

Highlights

  • API change: move linear.sklearn_helper.* to linear.*

Contributors

Thank you all for your contributions :)

@cjlin1 @will945945945 @Gordon119 @Sinacam @Eleven1Liu

Original release date: Feb 8, 2023

v0.1.7

01 Jan 03:42
ba3384e
Compare
Choose a tag to compare

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

01 Jan 03:40
31f5784
Compare
Choose a tag to compare

What's Changed

Document

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

01 Jan 03:36
59a472d
Compare
Choose a tag to compare

What's Changed

Document

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

01 Jan 03:33
33fea85
Compare
Choose a tag to compare

What's Changed

Document

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

01 Jan 03:30
edef023
Compare
Choose a tag to compare

What's Changed

Document

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