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multivarious
0.2.0
Reference
Articles
Classifying in latent space: k-NN & Random-Forest wrappers
Composing Projectors: Chaining Models
Contrastive PCA: Finding What's Different Between Groups
Cross-validation for Dimensionality Reduction
Extending multiblock: CCA and glmnet Examples
Introduction to the multivarious Package
Multiblock basics: one projector, many tables
Kernel PCA Made Fast: The Nyström Approximation
Partial projection: working with incomplete feature sets
Permutation Testing in multivarious
Pre-processing pipelines in multiblock
Linear Re-representation with regress()
SVD wrapper, PCA and the bi_projector
License
YEAR: 2022 COPYRIGHT HOLDER: multivarious authors