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README.md
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# Karoo GP
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Karoo GP is an evolutionary algorithm, a genetic programming application suite which provides both symbolic regression
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and classification analysis. Karoo GP is a scalable platform with multicore support, designed to readily work with
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realworld data. No programming required. As a teaching tool, it enables instructors to share step-by-step how an
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evolutionary algorithm arrives to its solution. As a hands-on learning tool, Karoo GP supports rapid, repeatable
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experimentation with a simple interface.
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Karoo GP is a evolutionary algorithm, a genetic programming application suite written in Python which provides both
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symbolic regression and classification analysis. Karoo GP is a scalable platform with multicore support, designed to
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readily work with realworld data. No programming required. As a teaching tool, it enables instructors to share
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step-by-step how an evolutionary algorithm arrives to its solution. As a hands-on learning tool, Karoo GP supports
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rapid, repeatable experimentation with a simple interface.
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Karoo GP includes an intuitive text-based user interface for desktop applications, a configuration file for readily
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repeated server-side execution, a tool which generates randomly constructed subsets of larger datasets, a tool which
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normalises datasets, and a toy model which shows the inner workings of multiclass classification.
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repeated server-side execution, a stand-alone script which generates randomly constructed subsets of larger datasets,
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a stand-alone script which normalises datasets, and a toy model which shows the inner workings of multiclass
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classification.
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The included Quick Start Tutorial (PDF) offers system requirements, a crash-course in Genetic Programming, and use of
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Karoo GP for both the novice and advanced user.
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