v2.0.0 - Performance improvements

Enhancements and new features

• PCA: To improve performance n_components and svd_solver can be configured.
• Heatmap: performance improvements
  • distance matrix calculation done by pdist from scipy and parallelized for observations and features
  • hierarchical clustering using fastcluster
  • observations can be downsampled using configuration n_observations
  • top features can be selected by variability using configuration n_features

The documentation was updated accordingly.

Bug fixes and other performance improvements are not mentioned.

Full Changelog: v1.1.0...v2.0.0