Built to mirror scikit-learn in C++, Neurite wraps Eigen-accelerated linear algebra with a header-only toolbox of algorithms that covers everything from simple decision trees and black-box neural networks to clustering and dimensionality reduction. Preprocessing helpers like Standard Scaler and label encoders slot into a Pipeline class that chains multiple stages together and hooks right into a set of utilities to help with model selection, giving you the full sklearn-style workflow in C++. Because every component is header-only, the library compiles with a single CMake invocation.
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