I suppose one very effective solution to creating a coherent ML organization is to do all the work yourself. :)
-- John On Jul 19, 2014, at 1:40 PM, Dahua Lin <[email protected]> wrote: > Linear Least Square and Ridge Regression are also included now. (see > http://multivariatestatsjl.readthedocs.org/en/latest/lreg.html). > > Dahua > > > On Friday, July 18, 2014 8:13:31 PM UTC-5, Dahua Lin wrote: > Recently, I developed a new package for Julia (under JuliaStats): > MultivariateStats, for multivariate statistical analysis. > > Currently, the following functionalities have been implemented: > Data Whitening > Principal Component Analysis (PCA) > Canonical Correlation Analysis (CCA) > Classical Multidimensional Scaling (MDS) > Linear Discriminant Analysis (LDA) > Multiclass LDA > Independent Component Analysis (ICA), FastICA > Github Address: https://github.com/JuliaStats/MultivariateStats.jl > Documentation: http://multivariatestatsjl.readthedocs.org/en/latest/index.html > > This package is supposed to supersede DimensionalityReduction.jl, and it is > featured with more consistent API, optimized implementation, thorough > documentation, and extensive testing. > > The package has already been registered at METADATA. Please check out and > enjoy! > > Cheers, > Dahua >
