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adjusted score
Browse files- ArtistCoherencyModel.py +6 -3
ArtistCoherencyModel.py
CHANGED
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@@ -72,11 +72,14 @@ class ArtistCoherencyModel(nn.Module, PyTorchModelHubMixin):
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logits = self.generate_artist_coherency_logits(song_or_embedding)
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coherent_score = logits[coherent_index]
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incoherent_score = logits[incoherent_index]
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score = (
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)
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print(f"coherent_score: {float(coherent_score)}")
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print(f"
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return float(score)
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def predict(
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logits = self.generate_artist_coherency_logits(song_or_embedding)
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coherent_score = logits[coherent_index]
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incoherent_score = logits[incoherent_index]
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score = (
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100
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* coherent_score
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* (coherent_score - incoherent_score)
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/ (coherent_score + incoherent_score)
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)
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print(f"coherent_score: {float(coherent_score)}")
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print(f"incoherent_score: {float(incoherent_score)}")
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return float(score)
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def predict(
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