In my spare time I’ve been working on a package in Julia for Chemometrics (https://github.com/caseykneale/ChemometricsTools ). It’s basically a machine learning library (K-NN, naive bayes, LDA, CART trees, random forests, PLS, PCA/PCR, logistic regression, ridge, kernel ridge, lssvms, elms, echo state networks, nmf, nnls, etc… ) with specialized tools for chemical data. The package isn’t ready for prime-time yet, but it’s getting closer every day. Looking ahead I have some questions,
How do I go about getting the package registered so users can simply Pkg.add it? I want to draw some chemometricians to Julia because … it’s the way of the future and datascience code in Julia has the highest throughput I’ve ever worked with …
How do people create fancy documentation (see Flux.jl), any good tutorials? I’m a one man team so the simpler the better.
Thanks for your time,