probabilityCalibrationTrees

Provides probability calibration trees (PCTs) for local calibration of class probability estimates. To achieve calibration of a base learner, the PCT class must be used as the meta learner in the CascadeGeneralization class, which is also included in this package. The classifier to be calibrated must be used as the base learner in the CascadeGeneralization class. The CascadeGeneralization class can also be used independently to perform CascadeGeneralization for ensemble learning. The code for PCTs is largely the same as the LMT code for growing logistic model trees. For more details, see the ACML paper on probability calibration trees.

License	GNU General Public License 3
Categories	Weka Business Logic Libraries Machine Learning
GroupId	nz.ac.waikato.cms.weka
ArtifactId	probabilityCalibrationTrees
Last Version	1.0.0
Release Date	Nov 27, 2017
Type	jar
Description	probabilityCalibrationTrees Provides probability calibration trees (PCTs) for local calibration of class probability estimates. To achieve calibration of a base learner, the PCT class must be used as the meta learner in the CascadeGeneralization class, which is also included in this package. The classifier to be calibrated must be used as the base learner in the CascadeGeneralization class. The CascadeGeneralization class can also be used independently to perform CascadeGeneralization for ensemble learning. The code for PCTs is largely the same as the LMT code for growing logistic model trees. For more details, see the ACML paper on probability calibration trees.
Project Organization	University of Waikato, Hamilton, NZ
Source Code Management	https://svn.cms.waikato.ac.nz/svn/weka/tags/probabilityCalibrationTrees-1.0.0

Download probabilityCalibrationTrees

Filename	Size
probabilityCalibrationTrees-1.0.0.pom
probabilityCalibrationTrees-1.0.0.jar	35 KB
probabilityCalibrationTrees-1.0.0-tests.jar	5 KB
probabilityCalibrationTrees-1.0.0-test-sources.jar	2 KB
probabilityCalibrationTrees-1.0.0-sources.jar	27 KB
probabilityCalibrationTrees-1.0.0-javadoc.jar	87 KB

How to add to project

Apache Maven

<!-- https://jarcasting.com/artifacts/nz.ac.waikato.cms.weka/probabilityCalibrationTrees/ -->
<dependency>
    <groupId>nz.ac.waikato.cms.weka</groupId>
    <artifactId>probabilityCalibrationTrees</artifactId>
    <version>1.0.0</version>
</dependency>

Gradle Groovy

// https://jarcasting.com/artifacts/nz.ac.waikato.cms.weka/probabilityCalibrationTrees/
implementation 'nz.ac.waikato.cms.weka:probabilityCalibrationTrees:1.0.0'

Gradle Kotlin

// https://jarcasting.com/artifacts/nz.ac.waikato.cms.weka/probabilityCalibrationTrees/
implementation ("nz.ac.waikato.cms.weka:probabilityCalibrationTrees:1.0.0")

Apache Buildr

'nz.ac.waikato.cms.weka:probabilityCalibrationTrees:jar:1.0.0'

Apache Ivy

<dependency org="nz.ac.waikato.cms.weka" name="probabilityCalibrationTrees" rev="1.0.0">
  <artifact name="probabilityCalibrationTrees" type="jar" />
</dependency>

Groovy Grape

@Grapes(
@Grab(group='nz.ac.waikato.cms.weka', module='probabilityCalibrationTrees', version='1.0.0')
)

Scala SBT

libraryDependencies += "nz.ac.waikato.cms.weka" % "probabilityCalibrationTrees" % "1.0.0"

Leiningen

[nz.ac.waikato.cms.weka/probabilityCalibrationTrees "1.0.0"]

Dependencies

compile (1)

Group / Artifact	Type	Version
nz.ac.waikato.cms.weka : weka-dev	jar	[3.7.1,)

test (2)

Group / Artifact	Type	Version
nz.ac.waikato.cms.weka : weka-dev	test-jar	[3.7.1,)
junit : junit	jar	3.8.2

Project Modules

There are no modules declared in this project.

Versions

Version
1.0.0 Nov 27, 2017