logo iterativeAbsoluteErrorRegression

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

homepage: weka.sourceforge.net/doc.packages/iterativeAbsoluteErrorRegression
fresh index:
last release: 1 year ago, first release: 1 year ago
packaging: jar
get this artifact from: central
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