Releases: baal-org/baal
Releases · baal-org/baal
v1.9.2
v1.9.1 Heuristic Aliases!
Full Changelog: v1.9.0...v1.9.1
v1.9.0
What's Changed
- Handle NER usecase by @Dref360 in #263
- Add warnings when using replicate_in_memory=True and MCCachingModule by @Dref360 in #273
weights=None
in vgg models by @arthur-thuy in #276- fix: no pool preds for random heuristic by @arthur-thuy in #277
Full Changelog: v1.8.0...v1.9.0
V1.8.0
New features
- MCCachingModule: Cache computation between Monte Carlo iteration link. Special thanks to @pieterblok for introducing this capability!
- We can now evaluation every
x
epochs inModelWrapper.train_and_test_on_datasets
.
What's Changed
- Fix doc for NLP example by @Dref360 in #241
- #246 Fix issue where training was not kept consistent by @Dref360 in #249
- Baal in Production Notebook | Classification | NLP | Hugging Face by @nitish1295 in #245
- Add code walkthrough for CIFAR10 by @Dref360 in #253
- Deprecate shuffle prop in favor of PowerSampling by @Dref360 in #260
- docs: use correct link to experiment script by @arthur-thuy in #267
- added setting to skip x epochs when using train_and_test_on_datasets by @studentWUR in #258
- Add caching mechanism for MCDropout by @Dref360 in #268
- Improve get_indices_for_active_step by caching the result according t… by @Dref360 in #269
New Contributors
- @nitish1295 made their first contribution in #245
- @arthur-thuy made their first contribution in #267
- @studentWUR made their first contribution in #258
Deprecation
We will deprecate shuffle_prop
in favor of PowerSampling. Look here to know more about PowerBALD!
Full Changelog: v1.7.0...v1.8.0
v1.7.0
Large release where we added support for torchmetrics
, moved to mkdocs
and made the app more robust!
We also updated our visual identity, huge thanks to @Donasolo for the new logos!
What's Changed
- Move to Github Actions by @Dref360 in #212
- Added None to act as max for np.clip by @GeorgePearse in #213
- Assign version to pytorch-lightning by @Dref360 in #226
- Update README and CONTRIBUTING by @Dref360 in #222
- Add metric logging by @Dref360 in #223
- Throw away value for custom dataloaders by @bresilla in #228
- #232 Allow for Python <4 by @Dref360 in #233
- #156 Support torchmetrics by @Dref360 in #230
- Add warning when data augmentation is applied on the pool by @Dref360 in #229
- Add structure for mkdocs instead of Sphinx by @Dref360 in #225
New Contributors
- @GeorgePearse made their first contribution in #213
- @bresilla made their first contribution in #228
Full Changelog: v1.6.0...v1.7.0
v1.6.0
V1.5.2
What's Changed
- Better indexing support arrow dataset by @parmidaatg in #183
- Raises an error instead of a warning when label has no label by @Dref360 in #187
- #192 Use configure instead of configure_once to remove warnings by @Dref360 in #193
- #190 Fix MRO for Lightning examples and deprecate said example by @Dref360 in #191
- Can easily unpatch modules and use as a context manager #198 #194 :
mc_dropout_model = MCDropoutModule(your_model)
# this is stochastic
predictions = [mc_dropout_model(input) for _ in range(ITERATIONS)]
model = mc_dropout_model.unpatch()
# this is deterministic
output = model(input)
# Context manager
with MCDropoutModule(your_model) as model:
# this is stochastic
predictions = [model(input) for _ in range(ITERATIONS)]
# this is deterministic
output = model(input)
Full Changelog: 1.5.1...v1.5.2
v1.5.1
v1.5.0
What's Changed
- Split API documentation in multiple files by @Dref360 in #158
- Lightning Flash example by @parmidaatg in #154
- Add bandit to CircleCI by @Dref360 in #164
- Add Label function to HFDataset @Dref360 in #165
- #161 update query size by @Dref360 in #166
- Same fix in dropconnect and consistent dropout as in dropout by @Dref360 in #172
- Add last_active_step iteration to iterate over the last N active steps. by @Dref360 in #174
Deprecated
- We now deprecate our PL integration in favor of Lightning Flash. More information to come.
- We renamed
n_data_to_label
toquery_size
to match academic papers notation.
Full Changelog: 1.4.0...1.5.0
v1.4.0
What's Changed
- Support arrowdataset by @parmidaatg in #142
- Give ability for users to get uncertainty values. by @Dref360 in #144
- #146 Fix issue where at most a single submodule was affected by Dropout by @Dref360 in #147
- #131 Use poetry instead of setup.py by @Dref360 in #148
- #145 Example using MLP on MNIST by @Dref360 in #150
- mlp regression experiment by @parmidaatg in #152
- #130 Add mypy and step to test imports by @Dref360 in #155
Full Changelog: v1.3.1...1.4.0