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I found threshold parameter and there is one for each model(matcher, ranker, indexer). Is this correct one to assume that if I want models to predict more confident labels, let's not say predict only if probability of last layer is > 0.6?
Is there relevance of threshold during the training?
Hello,
Is there a way to filter predictions with threshold probability (such as predict a label if only > 0.7 probability score)?
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