Release 0.13

New features:

• Expanded model scalability
  Added support for FSDP2 to enable distributed training across multiple GPUs.
• Flexible inference customization
  Introduced targets_to_include and targets_to_exclude parameters for more control over inference outputs.
• Enhanced diagnostics and issue tracking
  Improved exception handling and logging during inference for better troubleshooting.
• Advanced interpretability for time series
  Enabled support for interpreting time-series variables in model explanations, enhancing transparency.

Fixes:

• Fixed an error that prevented models with time-series features from resuming properly.
• Fixed an issue where the parameter controlling the use of the foundation model head was not properly passed.
• Updated packages to improve performance, improve security and for compatibility with the latest features.