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define GHA for CrossModalPred
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borauyar committed Mar 17, 2024
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6 changes: 6 additions & 0 deletions .github/workflows/benchmarks.yml
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Expand Up @@ -89,6 +89,12 @@ jobs:
conda activate my_env
flexynesis --data_path dataset1 --model_class supervised_vae --target_variables Erlotinib,Crizotinib --fusion_type early --hpo_iter 1 --features_min 50 --features_top_percentile 5 --log_transform False --data_types gex,cnv --outdir . --prefix erlotinib_svae --early_stop_patience 3 --use_loss_weighting True --evaluate_baseline_performance False
- name: Run CrossModalPred
shell: bash -l {0}
run: |
conda activate my_env
flexynesis --data_path dataset1 --model_class CrossModalPred --target_variables Erlotinib --fusion_type intermediate --hpo_iter 1 --features_min 50 --features_top_percentile 5 --log_transform False --data_types gex,cnv --input_layers gex --output_layers cnv --outdir . --prefix erlotinib_crossmodal --early_stop_patience 3 --use_loss_weighting True --evaluate_baseline_performance False
- name: Run MultiTripletNetwork
shell: bash -l {0}
run: |
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