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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.

Project details


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2.7.8

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2.7.7

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2.7.5

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2.7.3

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2.7.2

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2.7.1

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2.7

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2.6

This version
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2.5a4

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2.5a2

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2.5a1

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2.0.1b

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2.0.0b

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Filename, size & hash SHA256 hash help File type Python version Upload date
Orange-2.5a4.tar.gz (14.8 MB) Copy SHA256 hash SHA256 Source None Feb 28, 2012

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