JuliaAI / JuliaAI/MLJ

More (julia) packages to interface with

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help wanted
Dominant language
Svelte
Stars
3
Forks
0
Avg merge
1h 50m
Merged PRs (30d)
2

Description

This is a list to keep track of packages that should be considered in the near future with some notion of priority; feel free to comment with packages that should be considered or shotgunning an interface you'd be happy to help with.

higher priority
  • Complete interface with DecisionTree.jl e.g. categorical features part
  • Impute.jl
  • Soss.jl at least for basic bayesian models such as bayesian regression or bayesian logreg --> this is happening on branch soss
  • Finish the interface with Multivariate Stats (e.g. subspace LDA is missing)
  • Complete the interface to Clustering.jl
other models

Contributor guide

No contributing guide indexed for this repository

First steps

  1. Read the whole issue, then the project's contributing guide.
  2. Comment on the issue to say you are picking it up — it saves two people doing the same work.
  3. Fork the repository and make your change on a branch.
  4. Open a pull request that references the issue number.

Research direction

Review the unchecked package list, especially Impute.jl, Clustering.jl, and the linked MLJ issues for LowRankModels.jl, ManifoldLearning.jl, and EvoTrees.jl. Choose a package with a defined interface scope, then confirm completion by implementing and validating that interface and updating this checklist.

Written by the indexing model from the issue text.

Assessment

Tech stack
julia
Domain
machine-learning
Issue type
Feature
Difficulty
5/5
Estimated time
Over a week
Activity status
Stale
Clarity
Needs clarification
Newbie friendliness
20/100

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