This repository is a template for creating repositories that contain glue code between (i) packages providing machine learning algorithms; and (ii) the machine learning toolbox MLJ - that is, for so-called interface-only packages.
This template is intended for use when a package providing a machine learning model algorithm is not hosting the code that implements the MLJ model API, and a separate package for this purpose is to be created. This repo is itself a working implementation but should be used in conjunction with the more detailed model implementation guidelines.
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Clone this repository or use it as a template if available from your organization.
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Rename this repository, replacing the word "Example" with the name of the model-providing package.
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Develop the contents of src/MLJExampleInterface.jl appropriately.
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Rename src/MLJExampleInterface.jl appropriately.
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Remove Example from Project.toml and instead add the model-providing package.
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GENERATE A NEW UUID in Project.toml and change the Project.toml name and author appropriately.
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You may want to remove the Distributions test dependency if you don't need it.
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Replace every instance of "Example" in this README.md with the name of the model-providing package and adjust the organization name in the link.
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Remove everything in this REAMDE.md except what is below the line you are currently reading 😉.
Repository implementing the MLJ model interface for models provided by Example.jl.
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