q2-sample-classifier

qiime2

This QIIME 2 plugin supports methods for supervised classification and regression of sample metadata, and other supervised machine learning methods.

version: 2024.10.0
website: https://github.com/qiime2/q2-sample-classifier
user support:: Please post to the QIIME 2 forum for help with this plugin: https://forum.qiime2.org
citations:: Bokulich et al., 2018; Pedregosa et al., 2011

Name	Type	Short Description
regress-samples-ncv	method	Nested cross-validated supervised learning regressor.
classify-samples-ncv	method	Nested cross-validated supervised learning classifier.
fit-classifier	method	Fit a supervised learning classifier.
fit-regressor	method	Fit a supervised learning regressor.
predict-classification	method	Use trained classifier to predict target values for new samples.
predict-regression	method	Use trained regressor to predict target values for new samples.
split-table	method	Split a feature table into training and testing sets.
scatterplot	visualizer	Make 2D scatterplot and linear regression of regressor predictions.
confusion-matrix	visualizer	Make a confusion matrix from sample classifier predictions.
summarize	visualizer	Summarize parameter and feature extraction information for a trained estimator.
classify-samples	pipeline	Train and test a cross-validated supervised learning classifier.
classify-samples-from-dist	pipeline	Run k-nearest-neighbors on a labeled distance matrix.
regress-samples	pipeline	Train and test a cross-validated supervised learning regressor.
metatable	pipeline	Convert (and merge) positive numeric metadata (in)to feature table.
heatmap	pipeline	Generate heatmap of important features.