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iterativeAbsoluteErrorRegression from group nz.ac.waikato.cms.weka (version 1.0.0)
Provides a regression scheme that uses Schlossmacher's iteratively reweighted least squares method to fit a model that minimizes absolute error. The scheme can be used with any base learner in WEKA that performs least-squares regression
Group: nz.ac.waikato.cms.weka Artifact: iterativeAbsoluteErrorRegression
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Artifact iterativeAbsoluteErrorRegression
Group nz.ac.waikato.cms.weka
Version 1.0.0
Last update 24. January 2016
Tags: with model error learner least weka provides regression used iteratively schlossmacher absolute that squares scheme minimizes base method uses reweighted performs
Organization University of Waikato, Hamilton, NZ
URL http://weka.sourceforge.net/doc.packages/iterativeAbsoluteErrorRegression
License GNU General Public License 3
Dependencies amount 1
Dependencies weka-dev,
There are maybe transitive dependencies!
Group nz.ac.waikato.cms.weka
Version 1.0.0
Last update 24. January 2016
Tags: with model error learner least weka provides regression used iteratively schlossmacher absolute that squares scheme minimizes base method uses reweighted performs
Organization University of Waikato, Hamilton, NZ
URL http://weka.sourceforge.net/doc.packages/iterativeAbsoluteErrorRegression
License GNU General Public License 3
Dependencies amount 1
Dependencies weka-dev,
There are maybe transitive dependencies!
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