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sample-classifier¶
| Description |
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 |
| Support |
Please post to the QIIME 2 forum for help with this plugin: https://forum.qiime2.org |
| q2cli Invocation | qiime sample-classifier
|
| Artifact API Import | from qiime2.plugins import sample_classifier
|
| Citations |
|
Pipelines¶
- classify-samples: Train and test a cross-validated supervised learning classifier.
- classify-samples-from-dist: Run k-nearest-neighbors on a labeled distance matrix.
- heatmap: Generate heatmap of important features.
- metatable: Convert (and merge) positive numeric metadata (in)to feature table.
- regress-samples: Train and test a cross-validated supervised learning regressor.
Methods¶
- classify-samples-ncv: Nested cross-validated supervised learning classifier.
- fit-classifier: Fit a supervised learning classifier.
- fit-regressor: Fit a supervised learning regressor.
- predict-classification: Use trained classifier to predict target values for new samples.
- predict-regression: Use trained regressor to predict target values for new samples.
- regress-samples-ncv: Nested cross-validated supervised learning regressor.
- split-table: Split a feature table into training and testing sets.