API Reference

Complete API documentation for FoodSpec Python modules with auto-generated signatures and examples.

Module Organization

Data Management

Module	Purpose	Key Components
Core	Data structures and workflows	FoodSpectrumSet, Spectrum, OutputBundle
IO	Loading and saving data	load_folder(), read_spectra(), detect_format()
Datasets	Bundled example data	load_olive_oils(), load_meat_samples()

Data Processing

Module	Purpose	Key Components
Preprocessing	Spectral preprocessing	baseline_als(), normalize_snv()
Features	Feature extraction	detect_peaks(), RatioQualityEngine

Analysis & Modeling

Module	Purpose	Key Components
Chemometrics	PCA, PLS, MCR-ALS	run_pca(), make_pls_da()
ML	Model training & validation	nested_cross_validate()
Stats	Hypothesis testing	run_ttest(), run_anova()
Metrics	Evaluation metrics	compute_classification_metrics()

Applications

Module	Purpose	Key Components
Workflows	High-level workflows	Domain-specific analysis

See Also

• Methods Guide - Detailed methodology documentation
• Examples Gallery - Runnable code examples
• User Guide - Usage patterns and best practices