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-m | --model
Specify a model file to load and to train again. This allow you
either to continue an interrupted training or to use an old
model as a starting point for a new training. Beware that no new
labels can be inserted in the model. As the training parameters
are not saved in the model file, you have to specify them again,
or specify new one if, for example, you want to continue train-
ing with another algorithm or a different penalty.
How to continue an interrupted training ? When I used "-m", it started from the beginning.
The text was updated successfully, but these errors were encountered:
-m | --model
Specify a model file to load and to train again. This allow you
either to continue an interrupted training or to use an old
model as a starting point for a new training. Beware that no new
labels can be inserted in the model. As the training parameters
are not saved in the model file, you have to specify them again,
or specify new one if, for example, you want to continue train-
ing with another algorithm or a different penalty.
How to continue an interrupted training ? When I used "-m", it started from the beginning.
The text was updated successfully, but these errors were encountered: