Module classification 

Functional classification with mixed scalar/functional predictors.

Implements supervised classification for functional data using:

• fclassif_lda / fclassif_qda — FPC + LDA/QDA pipeline
• fclassif_knn — FPC + k-NN classifier
• fclassif_kernel — Nonparametric kernel classifier with mixed predictors
• fclassif_dd — Depth-based DD-classifier
• fclassif_cv — Cross-validated error rate

Parameter ordering convention

All classifiers: (data, y, [argvals,] [scalar_covariates,] method-params)

Re-exports

pub use cv::fclassif_cv;

pub use dd::fclassif_dd;

pub use fit::fclassif_cv_with_config;

pub use fit::fclassif_knn_fit;

pub use fit::fclassif_lda_fit;

pub use fit::fclassif_qda_fit;

pub use fit::ClassifCvConfig;

pub use fit::ClassifFit;

pub use fit::ClassifMethod;

pub use kernel::fclassif_kernel;

pub use knn::fclassif_knn;

pub use lda::fclassif_lda;

pub use qda::fclassif_qda;

Modules

cv

Cross-validation for functional classification.

dd

Depth-based DD-classifier.

fit

ClassifFit: fitted classification model with explainability support.

kernel

Nonparametric kernel classifier with mixed predictors.

knn

k-NN classifier internals.

lda

LDA: Linear Discriminant Analysis internals.

qda

QDA: Quadratic Discriminant Analysis internals.

Structs

ClassifCvResult

Cross-validation result.

ClassifResult

Classification result.