logit - AshokBhat/ml GitHub Wiki
- The vector of raw (non-normalized) predictions that a classification model generates, which is ordinarily then passed to a normalization function.
- If the model is solving a multi-class classification problem, logits typically become an input to the softmax function.
- The softmax function then generates a vector of normalized probabilities with one value for each possible class.
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What is a logit?
- A vector of non-normalized (raw) predictions that classification model generates
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Who uses logits?
- Becomes input to softmax function that normalizes it to produce a probability distribution