Machine learning and interactive data mining toolbox.
Project description
Orange is a scriptable environment for fast prototyping of new algorithms and testing schemes. It is a collection of Python packages that sit over the core library and implement some functionality for which execution time is not crucial and which is easier done in Python than in C++. This includes a variety of tasks such as attribute subset, bagging and boosting, and alike.
Orange also includes a set of graphical widgets that use methods from core library and Orange modules. Through visual programming, widgets can be assembled together into an application by a visual programming tool called Orange Canvas.
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