Dear All, I train the q2-feature-classifier with different db(gg and Silvia) and also for different primer sets. I generated the different classifier.qza files and I rename them like gg13_5_v1v3_classifier.qza, gg13_8_v3v4_classifier.qza, etc.
I am wondering can I use those files directly in the future as the reference for different sample types instead of re-training the feature-classifier again?
Thank you very much.
Absolutely! That’s why we provide some pre-trained classifiers, they are applicable to any other dataset so long as the trained data contains the primer-pair used. Sounds like you’ve got a nice library of primer-specific classifiers set up
Btw, where can I download the pre-trained classifiers?
If I didn’ t train the classifiers with primer parameter, the classifiers should fit all kind of library, right?
Btw,is there parameters like classifierPerIdentity=0.97 for the feature-classifier ? Thanks
Just so long as they are the same marker gene and internal to the full-length gene (e.g., any 16S amplicons could be classified with a full-length 16S classifier)
--help flag to get information on any method, or look here.
Depends what method in feature-classifier that you plan to use. The
classify-sklearn method has no such parameter, as it is not alignment based. The
classify-consensus-* methods do.
I hope that helps!
Thank you so much, Nicholas
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