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 POM file JAR file Javadoc

'nz.ac.waikato.cms.weka:iterativeAbsoluteErrorRegression:1.0.0'

<dependency>
	<groupId>nz.ac.waikato.cms.weka</groupId>
	<artifactId>iterativeAbsoluteErrorRegression</artifactId>
	<version>1.0.0</version>
</dependency>

<dependency org="nz.ac.waikato.cms.weka" name="iterativeAbsoluteErrorRegression" rev="1.0.0"/>

"nz.ac.waikato.cms.weka", "iterativeAbsoluteErrorRegression", "1.0.0"

Dependencies

Compile dependencies

nz.ac.waikato.cms.weka » weka-dev » [3.7.1,)

Test dependencies

junit » junit » 3.8.2
nz.ac.waikato.cms.weka » weka-dev » [3.7.1,)