MLJ.jl
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JuliaAI
A Julia machine learning framework
After some preparation and [discussion](https://github.com/alan-turing-institute/MLJ.jl/issues/901), I am announcing a new standard for MLJ model doc-strings, documented [here](https://alan-turing-institute.github.io/MLJ.jl/dev/adding_models_for_general_use/#Document-strings). I believe detailed doc-strings can greatly improve the on-ramp for new MLJ users,...
**Is your feature request related to a problem? Please describe.** With the current interface it can be extremely awkward to combine features which do not naturally fit together in a...
**Is your feature request related to a problem? Please describe.** It would be great to have built into MLJ a way for searching measures suitable to a given predictions `yhat`...
The MLJ model API only says that model reporting feature importances should report them in the `report` output by `fit`. But it says nothing about the actual format of this...
[[Possibly related to the API discussion on Clustering Models](https://github.com/alan-turing-institute/MLJ.jl/issues/852)] I am in the process to implement several Missing Imputers in a new BetaML `Imputation` sub module, based on GMM (as...
In support of https://github.com/JuliaAI/MLJBase.jl/pull/806.
**edited** A new package MLJTestIntegration.jl is under development to provide integration tests for the MLJ ecosystem at large. Some issues have been revealed there for the regressors in the following...
https://imbalanced-learn.readthedocs.io/en/stable/over_sampling.html#over-sampling This is just to kick off a discussion. I see oversampling/undersampling as transformers plus model wrappers. Here's a rough POC for this: ```julia # using MLJ, TableOperations, Tables import...
A number of feature-reduction strategies only make sense in the context of a supervised learning task because they must consult a target variable when trained. For example, one might wants...
For starters: Add a tool to have models compete, based on paired cv scores?