| Author: | Eibe Frank | |
| Category: | Regression | |
| Date: | 2016-01-22 | |
| Depends: | weka (>=3.7.1) | |
| Description: | 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. | |
| License: | GPL 3.0 | |
| Maintainer: | Weka team <wekalist{[at]}list.scms.waikato.ac.nz> | |
| PackageURL: | http://prdownloads.sourceforge.net/weka/iterativeAbsoluteErrorRegression1.0.0.zip?download | |
| URL: | http://weka.sourceforge.net/doc.packages/iterativeAbsoluteErrorRegression | |
| Version: | 1.0.0 |