Release v0.4.0

Release v0.4.0

New Features

• Slack: We now have a community chat on slack [commit]
• Paper: We wrote and submitted a Paper to JOSS [commit]
• Dataset Integration Guide: New tutorial to switch from old dataset API to new dataset API [commit]
• Predictor: Introduce new Predictor class to predict from network without having to initialize Trainer with dummy values [commit]
• PEP-8: Complete Codebase is now PEP-8 compatible and CI/CD now checks for it [commit]
• Debug Mode: New debug mode disables all multiprocessing (currently multiprocessing is only used during data loading); Might slow down the program but increases debug capabilities [commit]

Breaking Changes

• Return dicts: Models must now return dicts during prediction and training [commit]
• Kfold: The old kfold- function has now merged with the new kfold, stratified_kfold and stratified_kfold_predict to a new kfold function supporting all these behaviors. [commit]
• Rename tf Backend: The tf backend has been renamed to tensorflow during installation. The new command to install delira with TensorFlow backend is now: pip install delira[tensorflow] [commit]

Non-Breaking Changes

• Unify Trainer: Merging Code from Backend Trainers (TfNetworkTrainer and PyTorchNetworkTrainer) into BaseNetworkTrainer; Will increase maintainability and ease of adding new backends [commit]
• Unify Experiment: Merging Code from Backend Experiments to BaseExperiment [commit]
• Sampler StopIteration: Refactor samplers to use a common function to check if StopIteration must be raise (where possible) [commit]

Bugfixes

• TF Resnet18: ResNet18 in TF now matches the official paper [commit]
• Parameters: Correct Permutations in Parameters class [commit]
• Infinite Recursion: Infinite recursion in LookUpConfig due to wrong typechecks is now fixed [commit]
• DataLoading num_batches: The number of batches is now calculated without any influence of multiprocessing [commit]
• DataLoading: Instabilities due to inter-process communication [commit]