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Feature: Optimizations and bug fixes for training
#42
Closed
bfclarke
closed
6 months ago
bfclarke
commented
7 months ago
What
Bug fix: Subset samples correctly
Optimizations to training:
Sample subsetting now happens in the training_dataset rule
Uses in-memory instead of on-disk Zarr arrays to speed up data loading
Trains multiple models in parallel to improve GPU utilization
Testing
Run pytest
Run the snakemake pipeline on the example data
Association testing on real data to verify model is training correctly
What
Bug fix: Subset samples correctly
Optimizations to training:
Testing