MLJBase.jl
Core functionality for the MLJ machine learning framework
Install / Use
/learn @JuliaAI/MLJBase.jlREADME
MLJBase
Repository for developers that provides core functionality for the MLJ machine learning framework.
| Branch | Julia | Build | Coverage |
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| master | v1 | 
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| dev | v1 | 
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MLJ is a Julia framework for combining and tuning machine learning models. This repository provides core functionality for MLJ, including:
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completing the functionality for methods defined "minimally" in MLJ's light-weight model interface MLJModelInterface (/src/interface)
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definition of machines and their associated methods, such as
fit!andpredict/transform(src/machines). -
MLJ's model composition interface, including learning networks, pipelines, stacks, target transforms (/src/composition)
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basic utilities for manipulating datasets and for synthesizing datasets (src/data)
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a small interface for resampling strategies and implementations, including
CV(),StratifiedCVandHoldout(src/resampling.jl). Actual performance evaluation measures (aka metrics), which previously were provided by MLJBase.jl, now live in StatisticalMeasures.jl. -
methods for performance evaluation, based on those resampling strategies (src/resampling.jl)
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one-dimensional hyperparameter range types, constructors and associated methods, for use with MLJTuning (src/hyperparam)
