qiime feature-table core-features (version 2019.4)

--i-table: ARTIFACT FeatureTable[Frequency] The feature table to use in core features calculations. [required]:

--p-min-fraction: PROPORTION Range(0.0, 1.0, inclusive_start=False) The minimum fraction of samples that a feature must be observed in for that feature to be considered a core feature. [default: 0.5]:

--p-max-fraction: PROPORTION Range(0.0, 1.0, inclusive_end=True) The maximum fraction of samples that a feature must be observed in for that feature to be considered a core feature. [default: 1.0]:

--p-steps: INTEGER The number of steps to take between `min-fraction` and Range(2, None) `max-fraction` for core features calculations. This parameter has no effect if `min-fraction` and `max-fraction` are the same value. [default: 11]:

Train an almost arbitrary scikit-learn classifier

Train a scikit-learn classifier to classify reads.

Parameters

reference_reads : FeatureData[Sequence]
reference_taxonomy : FeatureData[Taxonomy]
classifier_specification : Str
class_weight : FeatureTable[RelativeFrequency], optional

Returns

classifier : TaxonomicClassifier