Configurable sparse prediction threshold #7
Merged
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Sometimes MLP predictors have a relatively low recall and introduce noticeable false negatives. By setting a lower sparse prediction threshold, we can mitigate that at inference time by predicting more neutrons around the middle as positive.
We implement this along with MLP predictor distribution as a config entry, so we can set an optimal threshold for each set of MLP predictors. It can also be manually configured by env var
LLAMA_SPARSE_PRED_THRESHOLD
.