Fasttext: Purpose of -minn and -maxn for supervised training

Created on 30 May 2017  路  2Comments  路  Source: facebookresearch/fastText

It is pretty clear what the purpose of the parameters minn and maxn is in unsupervised mode (e.g. skipgram) where vectors of sequences between minn and maxn characters are produced. However I have a difficulty in understanding the purpose of these parameters in supervised mode and especially how they are combined with wordNgrams>1

Judging by their default values in supervised mode which is 0 for both, I suspect they are only there for code compatibility purposes.

Thanks

Most helpful comment

Hello @namp,

This feature has been added as part of ebbd3bf.

Thanks,
Christian

All 2 comments

Hello @namp,

Indeed the supervised training mode is not making used of subwords yet. Therefore these options have no effect.

Thanks,
Christian

Hello @namp,

This feature has been added as part of ebbd3bf.

Thanks,
Christian

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