Seems like an excellent plan :-)
> On Jul 19, 2014, at 4:31 PM, Dahua Lin <[email protected]> wrote: > > 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]> 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 >>
