https://github.com/tensorly/tensorly
Revision 3cfd3e489b9d5f20027663c3fddbd7759c5831f4 authored by Aaron Meurer on 12 December 2018, 22:51:40 UTC, committed by Aaron Meurer on 12 December 2018, 22:51:40 UTC
This required adding a mask flag to kruskal_to_tensor() and kr() so that the mask could be absorbed into the calculation in a sparse friendly way. In order to be sparse friendly, the mask should be a sparse array with a fill value of 1 (True). In other words, the number of missing values should itself be sparse. The generic kr() algorithm was rewritten to use a generic outer product, and kruskal_to_tensor() now uses sum instead of dot (the NumPy kr() just multiplies the mask).
1 parent f0ef0a1
Tip revision: 3cfd3e489b9d5f20027663c3fddbd7759c5831f4 authored by Aaron Meurer on 12 December 2018, 22:51:40 UTC
Make the parafac mask support sparse friendly
Make the parafac mask support sparse friendly
Tip revision: 3cfd3e4
| File | Mode | Size |
|---|---|---|
| conda | ||
| doc | ||
| examples | ||
| tensorly | ||
| .coveragerc | -rw-r--r-- | 72 bytes |
| .gitignore | -rw-r--r-- | 905 bytes |
| .travis.yml | -rw-r--r-- | 1.6 KB |
| AUTHORS.rst | -rw-r--r-- | 272 bytes |
| CHANGELOG.md | -rw-r--r-- | 229 bytes |
| LICENSE.txt | -rw-r--r-- | 1.5 KB |
| Makefile | -rw-r--r-- | 370 bytes |
| README.rst | -rw-r--r-- | 6.1 KB |
| deploy_docs.sh | -rw-r--r-- | 930 bytes |
| requirements.txt | -rw-r--r-- | 35 bytes |
| setup.cfg | -rw-r--r-- | 508 bytes |
| setup.py | -rwxr-xr-x | 1.9 KB |
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