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Improve vader-sklearn-adapter scoring function to use prediction strength #7

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yalchik opened this issue Jan 5, 2021 · 0 comments
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yalchik commented Jan 5, 2021

Currently, VaDERSklearnClustering (from vader_sklearn.py) uses sum of reconstruction_loss and latent_loss as the score function. We may need to change it to support prediction_strength (and possibly adjusted rand score too).

@yalchik yalchik added the enhancement New feature or request label Jan 5, 2021
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