deeptaxa/__init__.py,sha256=tHzFN_nppI7P3L-MFSIGpltypp8hn9dHFH04toY8hwE,2131
deeptaxa/cli.py,sha256=k1s5P227LxvmXiTnCYgtil8JiFywNFziDC_5_ybv6ns,24005
deeptaxa/config.py,sha256=QJXD_8x91b7NcD1qqOyiFbBXbbEsfLThpjsOhk_9t78,4473
deeptaxa/dataset.py,sha256=iLLhO7mY_nSzSAz-Fayom6BJ0lLO3OdxNCnVnMKVmiU,13847
deeptaxa/describe.py,sha256=wT3Pm6g5Akp5gDllsHNDidJkkluURyPks8wO429-DRw,8689
deeptaxa/predict.py,sha256=1ekbkjb5RQZ7VyHRCdAt1K2G_zzf9vhiB092oiaTayQ,35235
deeptaxa/train.py,sha256=uIKhtQOuxCtKvgVfCe5fKlgGKB2cUKDKA_HJwYGdFp0,61478
deeptaxa/tune.py,sha256=hDh4ODbN3O0mlI7jbleFZthowMHrkpHdM99ErBEmCDc,11384
deeptaxa/utils.py,sha256=EjN9u0Mjmwgwig07nKYwZrWwrvBs-zGNXHFXG-q1cJg,2601
deeptaxa/models/__init__.py,sha256=mdiTiBkACJN5QSGdUyl4EBjpzPQikFjfX5k5coJzzMs,810
deeptaxa/models/bert.py,sha256=cnf2IY1339ekFh2yixbvlfQ2JV7pwfXU7Xyj8bERDqA,5253
deeptaxa/models/cnn.py,sha256=0SeRnmybDw9-pX9fTsyiufw_Y6Ugrv26k_0fb-LfZxA,7683
deeptaxa/models/hybrid.py,sha256=fc-K7vY_wtSHKJEZTb5iF2uKHzo5dXhE6XZhWshu4NY,7950
deeptaxa/models/losses.py,sha256=KgzeWrsWPBNuVAwDth0uYZzkwcqEvPD8JRIuu54Kfa8,2789
deeptaxa_rrna-1.0.1.dist-info/licenses/LICENSE,sha256=1-ORWm8kGRaVnYvumFQeVRyH2khbUZup_u8yBzJdqBo,1077
deeptaxa_rrna-1.0.1.dist-info/METADATA,sha256=DTvIuOuHsn-rqtMjVh3lAFh8p4iUJVCjbwRlpHSul-4,13891
deeptaxa_rrna-1.0.1.dist-info/WHEEL,sha256=aeYiig01lYGDzBgS8HxWXOg3uV61G9ijOsup-k9o1sk,91
deeptaxa_rrna-1.0.1.dist-info/entry_points.txt,sha256=7EJpbF6CRfIFXaEULGVDpdk51vMSkksaApK7iQwcao4,47
deeptaxa_rrna-1.0.1.dist-info/top_level.txt,sha256=OSsoEJadECTrpofyzkx6QcNvQDqlJ6V8--8WLwrhxPo,9
deeptaxa_rrna-1.0.1.dist-info/RECORD,,
