CHANGELOG.rst

Changelog

Badge	Meaning
Feature	Add something that cannot be achieved before.
Efficiency	Improve the efficiency on the computation or memory.
Enhancement	Miscellaneous minor improvements.
Fix	Fix up something that does not work as expected.
API Change	You will need to change the code to have the same effect.

Ver 0.1.*

• Fix Fix the issue that model will be overwritten when using the validation data loder | @xuyxu
• Feature Add internal :meth:`unsqueeze` operation in :meth:`forward` of all classifiers | @xuyxu
• Feature API Change Add voting_strategy parameter for :class:`VotingClassifer`, :class:`NeuralForestClassifier`, and :class:`SnapshotEnsembleClassifier` | @LukasGardberg
• Fix Fix the sampling issue in :class:`BaggingClassifier` and :class:`BaggingRegressor` | @SunHaozhe
• Feature API Change Add :class:`NeuralForestClassifier` and :class:`NeuralForestRegressor` | @xuyxu
• Fix Relax check on input dataloader | @xuyxu
• Feature API Change Support arbitrary training criteria for all ensembles except Gradient Boosting | @by256 and @xuyxu
• Fix Fix missing functionality of save_model for :meth:`fit` of Soft Gradient Boosting | @xuyxu
• Feature API Change Add :class:`SoftGradientBoostingClassifier` and :class:`SoftGradientBoostingRegressor` | @xuyxu
• Feature API Change Support using dataloader with multiple input | @xuyxu
• Fix Fix missing functionality of use_reduction_sum for :meth:`fit` of Gradient Boosting | @xuyxu
• Enhancement Relax :mod:`tensorboard` as a soft dependency | @xuyxu
• Enhancement API Change Simplify the training workflow of :class:`FastGeometricClassifier` and :class:`FastGeometricRegressor` | @xuyxu
• Feature API Change Support TensorBoard logging in :meth:`set_logger` | @zzzzwj
• Enhancement API Change Add use_reduction_sum parameter for :meth:`fit` of Gradient Boosting | @xuyxu
• Feature API Change Improve the functionality of :meth:`evaluate` and :meth:`predict` | @xuyxu
• Feature API Change Add :class:`FastGeometricClassifier` and :class:`FastGeometricRegressor` | @xuyxu
• Enhancement Add flexible instantiation of optimizers and schedulers | @cspsampedro
• Feature API Change Add support on accepting instantiated base estimators as valid input | @xuyxu
• Fix Fix missing base estimators when calling :meth:`load()` for all ensembles | @xuyxu
• Feature API Change Add methods on model deserialization :meth:`load()` for all ensembles | @mttgdd

Beta

• Feature API Change Add :meth:`set_scheduler` for all ensembles | @xuyxu
• Major Feature Add :class:`AdversarialTrainingClassifier` and :class:`AdversarialTrainingRegressor` | @xuyxu
• Major Feature Add :class:`SnapshotEnsembleClassifier` and :class:`SnapshotEnsembleRegressor` | @xuyxu
• Feature API Change Add model validation and serialization | @ozanpkr and @xuyxu
• Enhancement Add CI and maintenance tools | @xuyxu
• Enhancement Add the code coverage on codecov | @xuyxu
• Enhancement Add the version numbers to requirements.txt | @zackhardtoname and @xuyxu
• Enhancement Improve the logging module using :class:`logging` | @zzzzwj
• API Change Remove the input argument output_dim from all methods | @xuyxu
• API Change Refactor the setup on optimizer into :meth:`set_optimizer` | @xuyxu
• API Change Refactor the codes on operating tensors into an independent module | @zzzzwj
• Fix Fix the bug in logging module when using multi-processing | @zzzzwj
• Fix Fix the binding problem on scheduler and optimizer when using parallelization | @Alex-Medium and @xuyxu