Changelog • RcppML

RcppML 0.5.0

Launch pkgdown site
Added the nmf S3 class to the result of nmf function
Introduce S3 methods for NMF ([, align, biplot, dim, dimnames, head, mse, predict, print, prod, sort, sparsity, summary, t)
New plotting methods for NMF (biplot.nmf, plot.nmfSummary, plot.nmfCrossValidation)
mse is now an S3 method for nmf objects
project now handles only projections of w, for simplicity
New vignette on Getting Started with NMF!

Support for specific sample and feature selections for NMF removed to increase performance on C++ end
Removed updateInPlace advanced parameter for nmf because advantages were not convincing
mask_zeros implementation is now specific to sparse matrices, multi-thread parallelization, and projections with transposition
Added cosine function for fast cosine distance calculations
Condensed and pared down documentation throughout. Advanced usage discussion will be moved to future vignettes.

three new datasets (hawaiibirds, aml, and movielens)
Move NMF models and methods from S3 to S4 for stability
Better random initializations (now using both rnorm and runif with multiple ranges/shapes, when multiple seeds are specified)
added L2 regularization to NMF
Support for masking values
add impute and perturb methods to crossValidate

better random initializations (now using both rnorm and runif with multiple ranges/shapes)
New vignette on random restarts
better “head” and “show” methods
return “w_init” with model

better cross-validation, now exclusively using the mean squared error of missing value imputation (random speckled patterns of missing values)
complete migration to the S4 system, with backwards compatibility for CRAN version 0.5.0
new vignettes and built-in datasets