[ Quellcode: weka ]
Paket: weka (3.6.14-3)
Links für weka
Trisquel-Ressourcen:
Quellcode-Paket weka herunterladen:
Betreuer:
Original Maintainers:
- Debian Java Maintainers (E-Mail-Archiv)
- Torsten Werner
- tony mancill
Externe Ressourcen:
- Homepage [www.cs.waikato.ac.nz]
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Machine learning algorithms for data mining tasks
Weka is a collection of machine learning algorithms in Java that can either be used from the command-line, or called from your own Java code. Weka is also ideally suited for developing new machine learning schemes.
Implemented schemes cover decision tree inducers, rule learners, model tree generators, support vector machines, locally weighted regression, instance-based learning, bagging, boosting, and stacking. Also included are clustering methods, and an association rule learner. Apart from actual learning schemes, Weka also contains a large variety of tools that can be used for pre-processing datasets.
This package contains the binaries and examples.
Andere Pakete mit Bezug zu weka
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- dep: cup (>= 0.11a+20060608)
- LALR parser generator for Java(tm)
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- dep: default-jre
- Standard Java or Java compatible Runtime
- oder java7-runtime
- virtuelles Paket, bereitgestellt durch default-jre, openjdk-11-jre, openjdk-17-jre, openjdk-18-jre, openjdk-8-jre
- oder java6-runtime
- virtuelles Paket, bereitgestellt durch default-jre, openjdk-11-jre, openjdk-17-jre, openjdk-18-jre, openjdk-8-jre
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- dep: java-wrappers
- wrappers for java executables
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- sug: libsvm-java
- Java API to support vector machine library (libsvm.jar)
weka herunterladen
| Architektur | Paketgröße | Größe (installiert) | Dateien |
|---|---|---|---|
| all | 6.462,8 kB | 13119 kB | [Liste der Dateien] |