Agreed. You've got a great talent for designing systems, so I think having you lead the way is a winning strategy.
-- John On Jul 19, 2014, at 7:33 PM, Stefan Karpinski <[email protected]> wrote: > 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 >>> >>
