Version 1.3.1

New features:

• Metadata
  • Add metadata about e.g. variable names and normalisation
  • The metadata is reused for all plots
• More general input
  • Anything that can be turned into a torch.Tensor or numpy.ndarray is accepted
  • This includes dataframe-like objects (also imports variable names)

Improvements:

• Better colourscales for local losses
• Centering before PCA
• Slisemap.load understands map_location from torch.load
• More verbosity levels for optimisation

Changes:

• Remove types from docstrings
• Rename "Fidelity" to "Local loss" in plots

Deprecations:

• With the addition of metadata, some parameters to the plotting functions have been deprecated