The plan in my mind is that I try to setup the basis initially, and have some basic functionalities working.
When people being using this package, they will contribute more stuff. We can maintain consistency by providing advices to those who make the PRs. These have been working quite successfully for some packages, such as Distributions, DataStructures, and Graphs, etc. Dahua On Saturday, July 19, 2014 5:26:36 PM UTC-5, John Myles White wrote: > > 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] <javascript:>> > 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 <https://github.com/JuliaStats/MultivariateStats.jl>, >> 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 >> >> >
