From fc701f7327467face6154286bb75c17ed75c0461 Mon Sep 17 00:00:00 2001 From: Patrice Lopez Date: Fri, 25 Nov 2022 16:06:14 +0100 Subject: [PATCH] document the incremental training option in the web api training service --- doc/Grobid-service.md | 1 + 1 file changed, 1 insertion(+) diff --git a/doc/Grobid-service.md b/doc/Grobid-service.md index e407294176..e5f50d5698 100644 --- a/doc/Grobid-service.md +++ b/doc/Grobid-service.md @@ -751,6 +751,7 @@ Launch a training for a given model. The service return back a training token (a | | | | type | optional | type of training, `full`, `holdout`, `split`, `nfold`, default is `split` | | | | | ratio | optional | only considered for `split` training mode, give the ratio (number bewteen 0 and 1) of training and evaluation data when splitting the annotated data, default is `0.9` | | | | | n | optional | only considered for `nfold` training mode, give the number of folds to be used, default is `10` | +| | | | `incremental` | optional | boolean indicating if the training should be incremental (`1`) starting from the existing model, or not (default, `0`) | The `type` of training indicates which training and evaluation mode should be used: - `full`: the whole available training data is used for training a model