v0.2.23

Release notes

0.2.23

Breaking Changes

• removed torch-optimizer dependency (#228)

New Features

• added option to train MVP on random sequence lengths (#252)

• added ability to pass an arch name (str) to learner instead of class (#217)

• created convenience fns create_directory and delete_directory in utils (#213)

• added option to create random array of given shapes and dtypes (#212)

• my_setup() print your main system and package versions (#202)

• added a new tutorial on how to train large datasets using tsai (#199)

• added a new function to load any file as a module (#196)

• Created CODE_OF_CONDUCT.md in #210

• Add Optuna tutorial notebook by @dnth in #275

Bugs Squashed

• Loading code just for inference takes too long (#273)

• Fixed out-of-memory issue with large datasets on disk (#126)

• AttributeError: module 'torch' has no attribute 'nan_to_num' (#262)

• Fixed TypeError: unhashable type: 'numpy.ndarray' (#250)

• Wrong link in paper references (#249)

• remove default PATH which overwrites custom PATH (#238)

• Predictions where not properly decoded when using with_decoded. (#237)

• SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame (#221)

• InceptionTimePlus wasn't imported by TSLearners (#218)

• get_subset_dl fn is not properly creating a subset dataloader (#211)

• Bug in WeightedPersSampleLoss (#203)

• Bump nokogiri from 1.11.4 to 1.12.5 in /docs by @dependabot in #222

New Contributors

• @geoHeil made their first contribution in #207
• @dnth made their first contribution in #275

Full Changelog: 0.2.20...0.2.23