Baal

What's Changed

* Better indexing support arrow dataset by parmidaatg in https://github.com/ElementAI/baal/pull/183
* Raises an error instead of a warning when label has no label by Dref360 in https://github.com/ElementAI/baal/pull/187
* 192 Use configure instead of configure_once to remove warnings by Dref360 in https://github.com/ElementAI/baal/pull/193
* 190 Fix MRO for Lightning examples and deprecate said example by Dref360 in https://github.com/ElementAI/baal/pull/191
* Can easily unpatch modules and use as a context manager 198 194 :

python
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**: https://github.com/ElementAI/baal/compare/1.5.1...v1.5.2

What's Changed
* Solve bug where a dataset wouldnt be able to label by Dref360 in https://github.com/ElementAI/baal/pull/178


**Full Changelog**: https://github.com/ElementAI/baal/compare/1.5.0...1.5.1

What's Changed
* Split API documentation in multiple files by Dref360 in https://github.com/ElementAI/baal/pull/158
* Lightning Flash example by parmidaatg in https://github.com/ElementAI/baal/pull/154
* Add bandit to CircleCI by Dref360 in https://github.com/ElementAI/baal/pull/164
* Add Label function to HFDataset Dref360 in https://github.com/ElementAI/baal/pull/165
* 161 update query size by Dref360 in https://github.com/ElementAI/baal/pull/166
* Same fix in dropconnect and consistent dropout as in dropout by Dref360 in https://github.com/ElementAI/baal/pull/172
* Add last_active_step iteration to iterate over the last N active steps. by Dref360 in https://github.com/ElementAI/baal/pull/174

Deprecated
1. We now deprecate our PL integration in favor of Lightning Flash. More information to come.
2. We renamed `n_data_to_label` to `query_size` to match academic papers notation.

**Full Changelog**: https://github.com/ElementAI/baal/compare/1.4.0...1.5.0

What's Changed
* Support arrowdataset by parmidaatg in https://github.com/ElementAI/baal/pull/142
* Give ability for users to get uncertainty values. by Dref360 in https://github.com/ElementAI/baal/pull/144
* 146 Fix issue where at most a single submodule was affected by Dropout by Dref360 in https://github.com/ElementAI/baal/pull/147
* 131 Use poetry instead of setup.py by Dref360 in https://github.com/ElementAI/baal/pull/148
* 145 Example using MLP on MNIST by Dref360 in https://github.com/ElementAI/baal/pull/150
* mlp regression experiment by parmidaatg in https://github.com/ElementAI/baal/pull/152
* 130 Add mypy and step to test imports by Dref360 in https://github.com/ElementAI/baal/pull/155


**Full Changelog**: https://github.com/ElementAI/baal/compare/v1.3.1...1.4.0

Changelog:
* Update pytorch-lightning to > 1.3.0 API
* Make torchvision and huggingface optional dependencies.
* New tutorial on Fairness and how to use Label Studio.

BaaL 1.3.0 is a release focused on UX.

Features

* Initial support for HF Trainer along with tutorials to use HuggingFace.
* Initial support for Semi-supervised learning, we are eager to see what the community will do with such a powerful tool!
* Fixes in ECE computation

Documentation

The biggest change in this release is the new website along with tons of content.
1. Tutorial on Deep Ensembles 94
2. Tutorial on NLP Classification 87
3. Tutorial on visualisation.
4. Added a BaaL cheatsheet to translate equations to code easily.
5. Added a list of "Core papers" to get new users started in Bayesian deep learning.