v0.2.0: More Approaches

What's Changed

• feat: add cnn dann by @tilman151 in #25
• fix: add best model checkpoint to lstm dann by @tilman151 in #26
• refactor: unify supervised pre-training by @tilman151 in #27
• feat: add pseudo label approach by @tilman151 in #28
• feat: add dynamic conditional adaption by @tilman151 in #29
• refactor: decouple eval losses by @tilman151 in #30
• feat: make approach-unspecific hparams configurable by @tilman151 in #31
• feat: make RUL score mode configurable by @tilman151 in #32
• feat: make model hyperparameters loggable by @tilman151 in #33
• refactor: unify construction args for CNN and RNN models by @tilman151 in #34
• feat: degraded-only evaluation mode by @tilman151 in #35
• fix: make pseudo labels ready for inductive adaption by @tilman151 in #36
• fix: additional inductive pseudo label error by @tilman151 in #37
• tests: disable lightning logging in unit tests by @tilman151 in #38
• feat: add dilation to CNN extractor by @tilman151 in #39
• feat: add stride to CNN extractor by @tilman151 in #40
• fix: deactivate label transformation in latent align by default by @tilman151 in #41
• fix: make default max RUL of adarul None but behave as 1 by @tilman151 in #42
• fix/make pseudo labels work for normed rul by @tilman151 in #43
• fix: add safeguards for conditional adaption loss by @tilman151 in #44
• docs: update and include example notebooks by @tilman151 in #45

Full Changelog: 0.1.0...0.2.0