Paket: weka (3.6.14-2)

[ Kaynak: weka  ]

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.

Etiketler: Alan: İstatistikler, Geliştirildiği dil: Java, Kullanıcı Arayüzü: interface::commandline, interface::graphical, X Pencere Sistemi, Rol: role::program, science::calculation, Kapsam: Yardımcı Araç, Amaç: Analiz, use::calculating, works-with-format::TODO, Şununla çalışır: Veritabanları, works-with::text, x11::application

weka ile İlgili Diğer Paketler

• dep: cup (>= 0.11a+20060608)

  LALR parser generator for Java(tm)

• dep: default-jre

  Standard Java or Java compatible Runtime

  ya da java7-runtime

  sanal paketi sağlayan default-jre, openjdk-11-jre, openjdk-17-jre

  ya da java6-runtime

  sanal paketi sağlayan default-jre, openjdk-11-jre, openjdk-17-jre

• dep: java-wrappers

  wrappers for java executables

• sug: libsvm-java

  Java API to support vector machine library (libsvm.jar)

weka indir

Tüm mevcut mimariler için indir

Mimari	Paket Boyutu	Kurulu Boyut	Dosyalar
all	6.472,2 kB	13.119,0 kB	[dosya listesi]