feat: SemiSupervised Training Mixin class #3164
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Codecov ReportAttention: Patch coverage is
Additional details and impacted files@@ Coverage Diff @@
## main #3164 +/- ##
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- Coverage 82.67% 82.53% -0.14%
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Files 185 185
Lines 16205 16241 +36
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+ Hits 13397 13405 +8
- Misses 2808 2836 +28
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canergen
reviewed
Feb 18, 2025
| If True, run the integrated circuits interpretability per sample and returns a score | ||
| matrix, in which for each sample we score each gene for its contribution to the | ||
| sample prediction | ||
| shap_values |
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have you tried it? does it take forever?
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I guess I need to also check for large dataset.
IG works fast , shap is dependent on the number of classes
canergen
approved these changes
Feb 18, 2025
# Conflicts: # src/scvi/model/_scanvi.py
ori-kron-wis
added
on-merge: backport to 1.3.x
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use what @ethanweinberger already made as a basis to semisupervisedtrainingmixin
We would like to add more functionality to it (e.g: interoperability)