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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

License
Categories

Categories

Weka Business Logic Libraries Machine Learning
GroupId

GroupId

nz.ac.waikato.cms.weka
ArtifactId

ArtifactId

probabilityCalibrationTrees
Last Version

Last Version

1.0.0
Release Date

Release Date
Type

Type

jar
Description

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

Project Organization

University of Waikato, Hamilton, NZ
Source Code Management

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
Browse

How to add to project

<!-- 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>
// https://jarcasting.com/artifacts/nz.ac.waikato.cms.weka/probabilityCalibrationTrees/
implementation 'nz.ac.waikato.cms.weka:probabilityCalibrationTrees:1.0.0'
// https://jarcasting.com/artifacts/nz.ac.waikato.cms.weka/probabilityCalibrationTrees/
implementation ("nz.ac.waikato.cms.weka:probabilityCalibrationTrees:1.0.0")
'nz.ac.waikato.cms.weka:probabilityCalibrationTrees:jar:1.0.0'
<dependency org="nz.ac.waikato.cms.weka" name="probabilityCalibrationTrees" rev="1.0.0">
  <artifact name="probabilityCalibrationTrees" type="jar" />
</dependency>
@Grapes(
@Grab(group='nz.ac.waikato.cms.weka', module='probabilityCalibrationTrees', version='1.0.0')
)
libraryDependencies += "nz.ac.waikato.cms.weka" % "probabilityCalibrationTrees" % "1.0.0"
[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