This is the Linux app named AutoMLPipeline.jl whose latest release can be downloaded as v0.4.7sourcecode.tar.gz. It can be run online in the free hosting provider OnWorks for workstations.
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AutoMLPipeline.jl
DESCRIPTION
AutoMLPipeline (AMLP) is a package that makes it trivial to create complex ML pipeline structures using simple expressions. It leverages on the built-in macro programming features of Julia to symbolically process, and manipulate pipeline expressions and makes it easy to discover optimal structures for machine learning regression and classification. To illustrate, here is a pipeline expression and evaluation of a typical machine learning workflow that extracts numerical features (numf) for ica (Independent Component Analysis) and pca (Principal Component Analysis) transformations, respectively, concatenated with the hot-bit encoding (ohe) of categorical features (catf) of a given data for rf (Random Forest) modeling.
Features
- Symbolic pipeline API for easy expression and high-level description of complex pipeline structures and processing workflow
- Common API wrappers for ML libs including Scikitlearn, DecisionTree, etc
- Easily extensible architecture by overloading just two main interfaces: fit! and transform
- Meta-ensembles that allow composition of ensembles of ensembles (recursively if needed) for robust prediction routines
- Categorical and numerical feature selectors for specialized preprocessing routines based on types
- AutoMLPipeline is in the Julia Official package registry
Programming Language
Julia
Categories
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