Changelog

v0.4.2

Project maintenance

• Fix the incomplete output information of Transforms terminal

• Normalization allows parameters calculated on the training set to be directly applied to the test set

• Optimize Trainer, add log manager and timer to default trainer

• Add new dataset MODMA_128_Resting

• Add new augmentation GaussTime

• Experiments support for verification of EEG Data

Documentation

• Supplement the cross-references in the document to improve readability

v0.4.1

Project maintenance

• Optimize the runtime logic of Transforms

• Add new datasets HighGamma and PhysioNet_MI

• Modify the internal dataset reading logic

Documentation

• Contents newly added in update version 0.4.1

• Refine the k-fold cross-validation experiment instruction document

• Use mne document decorator to reduce duplication

v0.4.0

Documentation

• The documentation engine has been changed from MkDocs to Sphinx

• Add dpeeg usage tutorial

• Improve API reference documentation

• Design dpeeg logo

Project maintenance

• Designed new EEG Data class to define all EEG data types

• Restructured the way to obtain the dataset, and further defined the basic the basic dataset and local file dataset. For details, refer to EEG Dataset

• According to the newly defined EEG Data, the trainer and corresponding experimental methods were reconstructed

• Refactored Transforms to support both EEG Data and EEG Dataset