No Longer Candide

This version of LensKit splits out the CSR routines into a separate CSR package, allowing LensKit to be a pure Python package.

This also makes a major change to TensorFlow BPR, using popularity-weighted negative sampling by default (this can be disabled with neg_weight=False), and makes our TF recommenders much faster.

What’s Changed

• Use popularity-weighted sampling in BPR by default (#223) @mdekstrand
• Fix TF performance (#222) @mdekstrand
• Update to CSR 0.2 (#221) @mdekstrand
• use CSR from conda-forge (#220) @mdekstrand
• knn: don't add item means to similarity sums (#217) @mdekstrand
• Use flit to build LKPY (#219) @mdekstrand
• Remove CSR class in favor of separate library (#218) @mdekstrand
• Fix tests on MacOS OpenBLAS (#215) @mdekstrand
• Allow scipy='coo' in sparse_ratings (#214) @reppertj
• Add keystone test depending on others (#212) @mdekstrand
• Test on multiple BLAS versions (#211) @mdekstrand
• Support Numba 0.52 (#210) @mdekstrand
• Add option to drop user features after training ALS models (#209) @carlos10seg
• Add tests for ALS load/save (#207) @mdekstrand