WekaPyScript: Classification, Regression, and Filter Schemes for WEKA Implemented in Python
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 computin...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
Ubiquity Press
2016-08-01
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| Series: | Journal of Open Research Software |
| Subjects: | |
| Online Access: | http://openresearchsoftware.metajnl.com/articles/108 |
| _version_ | 1828541740567494656 |
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| author | Christopher Beckham Mark Hall Eibe Frank |
| author_facet | Christopher Beckham Mark Hall Eibe Frank |
| author_sort | Christopher Beckham |
| collection | DOAJ |
| 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 local Python server using the host’s installation of Python; as a result, any libraries installed in the host installation can be leveraged when writing a script for WekaPyScript. Three example scripts (two learning algorithms and one preprocessing method) are presented. |
| first_indexed | 2024-12-12T01:44:17Z |
| format | Article |
| id | doaj.art-37a3cbff57b6494eb902b58773047bd3 |
| institution | Directory Open Access Journal |
| issn | 2049-9647 |
| language | English |
| last_indexed | 2024-12-12T01:44:17Z |
| publishDate | 2016-08-01 |
| publisher | Ubiquity Press |
| record_format | Article |
| series | Journal of Open Research Software |
| spelling | doaj.art-37a3cbff57b6494eb902b58773047bd32022-12-22T00:42:37ZengUbiquity PressJournal of Open Research Software2049-96472016-08-0141e33e3310.5334/jors.10894WekaPyScript: Classification, Regression, and Filter Schemes for WEKA Implemented in PythonChristopher Beckham0Mark Hall1Eibe Frank2Department of Computer Science, The University of WaikatoPentaho CorporationDepartment of Computer Science, The University of WaikatoWekaPyScript 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 local Python server using the host’s installation of Python; as a result, any libraries installed in the host installation can be leveraged when writing a script for WekaPyScript. Three example scripts (two learning algorithms and one preprocessing method) are presented.http://openresearchsoftware.metajnl.com/articles/108Python, WEKA, machine learning, data mining |
| spellingShingle | Christopher Beckham Mark Hall Eibe Frank WekaPyScript: Classification, Regression, and Filter Schemes for WEKA Implemented in Python Journal of Open Research Software Python, WEKA, machine learning, data mining |
| title | WekaPyScript: Classification, Regression, and Filter Schemes for WEKA Implemented in Python |
| title_full | WekaPyScript: Classification, Regression, and Filter Schemes for WEKA Implemented in Python |
| title_fullStr | WekaPyScript: Classification, Regression, and Filter Schemes for WEKA Implemented in Python |
| title_full_unstemmed | WekaPyScript: Classification, Regression, and Filter Schemes for WEKA Implemented in Python |
| title_short | WekaPyScript: Classification, Regression, and Filter Schemes for WEKA Implemented in Python |
| title_sort | wekapyscript classification regression and filter schemes for weka implemented in python |
| topic | Python, WEKA, machine learning, data mining |
| url | http://openresearchsoftware.metajnl.com/articles/108 |
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