v0.6.1

Changes:

• added missing dependency
• changes to typing in squidpy_gpu

v0.6.0

Changes:

• Added support for spatial autocorrelation (spatial_autocorr) with Moran's I and Geary's C.
• changed some import to be more lightweight

v.0.5.1

Changes:

• improves __getitem__ function
• fixed a small bug while creating cunndata
• changed to calculate_qc_metrics with log1p
• updates calc_gene_qc to be consistent with calculate_qc_metrics
• updates filter_cells and filter_genes
• updates docs
• updates Notebooks

v0.5.0

added docs

Changes:

• added properties to cunnData for .X, .obs, .var, .uns,.layers, .obsm, .varm
• changed .pp.plt_ to .pl for plotting functions
• fixed typo in calculate_qc
• changed import of functions and improved docstrings for documentation

v0.4.2

Bugfixes:

• Fixed a bug where only the last layer of an AnnData objects was appended.
• Fixed a small error with the creation of the conda env

v0.4.1

fixed links

v0.4.0

changed name from rapids_singlecell to rapids-singlecell
Added ability to install from pipy
Added updated yaml recipes for Conda environments

Minor Changes:

• minor fix for rapids-23.02 in rank_genes_groups_logreg
• accelerated _get_mean_var
• improvements for tl.tsne:
  * added method argument
  * added metric argument

v0.3.3

cunndata:

• switchted to anndata's getitem function

cunndata_funcs:

• added .layers support for:
  • regress_out
  • scale
  • normalize_total
• changed mean and var calcuations to make them more memory efficent

scanpy_gpu

• changed TSNE defaults

v0.3.2

cunndata

*added .varm
*added .__repr__

cunndata_funcs

*added pca
*added TSVD and Incremental PCA support
*added support for .varm

scanpy_gpu

*added TSVD and Incremental PCA support
*added .uns support for leiden and louvain

v0.3.1

• fixed Louvain and Leiden Clustering for rapids version > 22.08.
• added support for use_weights for leiden and louvain clustering
• added support for neighbors_key for leiden and louvain clustering
• added possibility to use different neighbourhood graphs
• added support multi_target_regresion in cudata_funcs.regress_out
• added support for __getitem__ to be used on .var
• added support for slices to be used on __getitem__