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 type