WekaPyScript: Classification, regression, and filter schemes for WEKA implemented in Python

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Title

WekaPyScript: Classification, regression, and filter schemes for WEKA implemented in Python

Content partner

University of Waikato

Collection

ResearchCommons@Waikato

Description

WekaPyScript is a package for the machine learning software WEKA that allows learning algorithms and preprocessing methods for classification and regression to be written in Python, as opposed to WEKA’s implementation language, Java. This opens up WEKA to its machine learning and scientific computing ecosystem. Furthermore, due to Python’s minimalist syntax, learning algorithms and preprocessing methods can be prototyped easily and utilised from within WEKA. WekaPyScript works by running a lo...

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Format

Research Paper

Research format

Journal article

Date created

2016

Creator

Beckham, Christopher J. / Hall, Mark A. / Frank, Eibe

URL

https://hdl.handle.net/10289/10585

Related subjects

computer science / Python / WEKA / data mining / Machine learning

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