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lalvim / PartialLeastSquaresRegressor.jl

Implementation of a Partial Least Squares Regressor
MIT License
40 stars 8 forks source link

Package announcement? #15

Closed azev77 closed 3 years ago

azev77 commented 3 years ago

Hi @lalvim I'm excited about your updated package! Have you considered making an announcement here: https://discourse.julialang.org/c/community/packages/47 It can get your package some attention.

lalvim commented 3 years ago

Ok, nice.
I prepared a text here, looking for a pattern there. Can I advertise?

Another point. Is MLJ interested in having https://github.com/lalvim/Perceptrons.jl in the registry? It is a package with different perceptron implementations that I do not seem to have in mlj or scikit.

azev77 commented 3 years ago
  1. For a sample announcement you can check out this link.
  2. I don't know about Perceptrons.jl, I don't use that much. Ask @ablaom @tlienart ...
lalvim commented 3 years ago

Thanks @azev77 . Done!

lalvim commented 3 years ago

I couldn't reference you there @azev77 .

This is the announcement. https://discourse.julialang.org/t/ann-partialleastsquaresregressor-jl/48549

ablaom commented 3 years ago

Another point. Is MLJ interested in having https://github.com/lalvim/Perceptrons.jl in the registry? It is a package with different perceptron implementations that I do not seem to have in mlj or scikit.

Happy to guide implementation of the MLJ model interface for Perceptrons.jl. The docs for new implementations are here. These models would receive features as a Tables.jl-compatible table (could be a wrapped matrix) which you materialise as a matrix for your models. However, feature-sparse data is not supported yet.

lalvim commented 3 years ago

Nice @ablaom I will work on that and call you there on a new issue of perceptrons package.