qiime feature-classifier fit-classifier-naive-bayes (version 2019.4)

--i-reference-reads: ARTIFACT FeatureData[Sequence] [required]:

--i-class-weight: ARTIFACT FeatureTable[RelativeFrequency] [optional]:

--p-classify--alpha: NUMBER [default: 0.001]:

--p-classify--chunk-size: INTEGER [default: 20000]:

--p-classify--class-prior: TEXT [default: 'null']:

--p-classify--fit-prior: --p-no-classify--fit-prior [default: False]:

--p-feat-ext--alternate-sign: --p-no-feat-ext--alternate-sign [default: False]:

--p-feat-ext--analyzer: TEXT [default: 'char_wb']:

--p-feat-ext--binary: --p-no-feat-ext--binary [default: False]:

--p-feat-ext--decode-error: TEXT [default: 'strict']:

--p-feat-ext--encoding: TEXT [default: 'utf-8']:

--p-feat-ext--input: TEXT [default: 'content']:

--p-no-feat-ext--lowercase: [default: False]:

--p-feat-ext--n-features: INTEGER [default: 8192]:

--p-feat-ext--ngram-range: TEXT [default: '[7, 7]']:

--p-feat-ext--non-negative: --p-no-feat-ext--non-negative [default: False]:

--p-feat-ext--norm: TEXT [default: 'l2']:

--p-feat-ext--preprocessor: TEXT [default: 'null']:

--p-feat-ext--stop-words: TEXT [default: 'null']:

--p-feat-ext--strip-accents: TEXT [default: 'null']:

--p-feat-ext--token-pattern: TEXT [default: '(?u)\\b\\w\\w+\\b']:

--p-feat-ext--tokenizer: TEXT [default: 'null']:

Train the naive_bayes classifier

Create a scikit-learn naive_bayes classifier for reads

Parameters