pls-toolbox-preprocessing

What problem does it solve?

This Skill provides a structured reference to the PLS_Toolbox preprocess function, enabling users to build, calibrate, apply, and undo preprocessing pipelines in MATLAB.

Core Features & Use Cases

• Calibrate preprocessing parameters from training data and store them in a structured object.
• Apply calibrated preprocessing to new data to ensure consistent transformations.
• Undo preprocessing where possible to recover original data for validation or comparison.
• Use cases include preparing spectral data for PLS models, enforcing consistent scaling, normalization, and derivative calculations across datasets.

Quick Start

Create a preprocessing pipeline with preprocess('default', 'mean center'), calibrate on your training data, and apply it to new samples.