0.1.4

• made scikit-learn-extra dependency as optional to avoid incompatibilities
• updated default FastICA parameters to follow scikit-learn>=1.3
• added pyproject.toml to keep compatibility with pip>=25.0

0.1.3

• added verbose option to RobustICA class
• bug fix: fixed reproducibility seed
• updated documentation

0.1.2

• bug fix: sign correction before computation of standard deviations of centroids
• added web documentation

First release

This first release of robustica contains:

• three modules:
  • RobustICA: contains the class and functions to perform robust independent component analysis (ICA)
  • InferComponents: contains the class to infer how many components should one consider for ICA
  • examples: contains helper functions to quickly create examples
• tutorials
• documentation