What is AutoMLPipeline?
It 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, manipulate pipeline expressions, and automatically discover optimal structures for machine learning prediction and classification.
AutoMLPipeline is a tool in the Machine Learning Tools category of a tech stack.
AutoMLPipeline is an open source tool with 360 GitHub stars and 28 GitHub forks. Here’s a link to AutoMLPipeline's open source repository on GitHub
AutoMLPipeline Integrations
AutoMLPipeline's 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 complexed 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
AutoMLPipeline Alternatives & Comparisons
What are some alternatives to AutoMLPipeline?
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