Version 0.1.3

Skip normalization for Bernoulli likelihood.

Version 0.1.2

Release Summary

New Features and Enhancements

• Data Handling:

  • Deduplicate Indices: Remove duplicate indices to ensure data integrity.
  • Data Merging and Normalization: Implement methods for merging (union/intersection) and normalizing data.
  • Flexibility in Masks and Samples: Improve handling of missing/extra features in prior masks and allow redundant samples in covariates.
  • Integration with adata and mdata: Update from_adata and from_mdata methods, including support for obs_key to load observations from obsm if required.

• Plotting and Visualization:

  • Group Plots: Introduce group plots to facilitate visual analysis of grouped data.

• Model Loading:

  • CPUUnpickler: Add CPUUnpickler to load models trained on GPU, enabling model compatibility across different hardware setups.

• Feature Set Enhancements:

  • Posterior Feature Sets: Allow computing and exporting posterior feature sets using kneed.

• Miscellaneous:

  • TensorDict: Add tensordict support for more efficient mini-batching.
  • ASCII Representation: Add ASCII representations of data for better readability and debugging.

First release

v0.1.1

First release