AutoMLPipeline.jl: a package that makes it trivial to create complex ML pipeline structures using simple expressions

Package Features

• Pipeline API that allows high-level description of processing workflow
• Common API wrappers for ML libs including Scikitlearn, DecisionTree, etc
• Symbolic pipeline parsing for easy expression of complex pipeline structures
• 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