In Tabnine, the percentage represents the accuracy level. For me, I always expect the returned suggestions from Tabnine to have an accuracy level higher than 30%. Therefore, in this pull request, I have introduced the "min_percent" parameter, which will filter out suggestions with an accuracy level lower than min_percent and keep the rest
In Tabnine, the percentage represents the accuracy level. For me, I always expect the returned suggestions from Tabnine to have an accuracy level higher than 30%. Therefore, in this pull request, I have introduced the "min_percent" parameter, which will filter out suggestions with an accuracy level lower than min_percent and keep the rest