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1 parent 13428b2 commit c5a43f5Copy full SHA for c5a43f5
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README.md
@@ -180,11 +180,11 @@ motif_cav_trainers = torch.load("motif_cav_trainers.pt")
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bed_cav_trainer = torch.load("bed_cav_trainer.pt")
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# inspect trainer properties
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-cav_trainer = motif_cav_trainers[0] # here we take the first motif cav trainer that correponds to the first number of motif insertions
+cav_trainer = motif_cav_trainers[4] # here we take the first motif cav trainer that correponds to the first number of motif insertions (4 insertions)
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# retrieve F-scores
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-motif_cav_trainers[0].cav_fscores
+motif_cav_trainers[4].cav_fscores
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# retrieve CAVs
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-motif_cav_trainers[0].cav_weights
+motif_cav_trainers[4].cav_weights
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```
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You can also retrieve the model decorated by TPCAV parameters by
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