[ Zdroj: weka ]
Balík: weka (3.6.14-1)
Odkazy pre weka
Zdroje Trisquel:
Stiahnuť zdrojový balík weka:
Správca:
Original Maintainers:
- Debian Java Maintainers (Konferencia)
- Soeren Sonnenburg
- Torsten Werner
- tony mancill
Externé zdroje:
- Domovská stránka [www.cs.waikato.ac.nz]
Podobné balíky:
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.
Ostatné balíky súvisiace s balíkom 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
- alebo java7-runtime
- virtuálny balík poskytovaný balíkom default-jre, openjdk-11-jre, openjdk-8-jre
- alebo java6-runtime
- virtuálny balík poskytovaný balíkom default-jre, openjdk-11-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)
Stiahnuť weka
| Architektúra | Veľkosť balíka | Nainštalovaná veľkosť | Súbory |
|---|---|---|---|
| all | 7,076.8 kB | 8047 kB | [zoznam súborov] |