Bayesian active learning library for research and industrial usecases.
Full Changelog: https://github.com/baal-org/baal/compare/v1.9.1...v1.9.2
Full Changelog: https://github.com/baal-org/baal/compare/v1.9.0...v1.9.1
weights=None
in vgg models by @arthur-thuy in https://github.com/baal-org/baal/pull/276
Full Changelog: https://github.com/baal-org/baal/compare/v1.8.0...v1.9.0
x
epochs in ModelWrapper.train_and_test_on_datasets
.We will deprecate shuffle_prop
in favor of PowerSampling. Look here to know more about PowerBALD!
Full Changelog: https://github.com/baal-org/baal/compare/v1.7.0...v1.8.0
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!
Full Changelog: https://github.com/baal-org/baal/compare/v1.6.0...v1.7.0
Full Changelog: https://github.com/ElementAI/baal/compare/v1.5.2...v1.6.0
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
Full Changelog: https://github.com/ElementAI/baal/compare/1.5.0...1.5.1
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
Full Changelog: https://github.com/ElementAI/baal/compare/v1.3.1...1.4.0