User Guide
This section contains step-by-step guides for common tasks and workflows with NIRS4ALL.
Overview
The User Guide provides practical how-to guides organized by topic. Each guide focuses on a specific task and includes working code examples.
Load and manage spectroscopic data from various formats. Filter samples and aggregate predictions.
Master spectral preprocessing techniques: SNV, MSC, derivatives, Savitzky-Golay, and more.
Improve model robustness with sample and feature augmentation techniques.
Advanced pipeline patterns: branching, merging, stacking, and generators.
Train and compare machine learning models with hyperparameter tuning.
Export trained pipelines as standalone bundles for production use.
Analyze predictions, residuals, and explain model behavior with SHAP.
Migration guides, common issues, and solutions.
Additional Topics
Logging System User Guide - Configure logging for debugging and monitoring
See Also
Writing a Pipeline in nirs4all - Complete pipeline syntax reference
Operator Catalog - All available operators
Examples - Working examples organized by topic