automlpipeline jl

We have hosted the application automlpipeline jl in order to run this application in our online workstations with Wine or directly.

Quick description about automlpipeline jl:

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: