v1.3.0

• All data augmentation methods optimized
• Addition of a new data augmentation method
• Rubberband baseline correction method added to preprocessing.py module.
• A additionnal jupyter notebook detailing the application of the SpectroCNN model and its main features
• Additional features & improvements.

Release 1.1.5

• Grad-CAM method was added to the SpectroCNN model for the identification of relevant spectral elements

• Minor issues fixed & improvements mainly related to the Spectro CNN model

Coming soon in the 1.2.0 release:

• A jupyter notebook detailing the application of the SpectroCNN model and its main features
• Additional features & improvements

Release 1.1.1

Minor issues fixed

New validation_metrics.py module added

Visual darktheme ++ added

V1.0.3

intensity_normalization to spectral_normalization with some extra features like Standard Normal Variate method

Full Changelog: v1.0.2...v1.0.3

Release 1.0.2

New

• Bug fix
• Fig. cleanup
• New logo

Full Changelog: v1.0.1...v1.0.2

v1.0.1

Update README.md

0.1.1

Issue with _init_.py files fixed.