套件：weka（3.6.14-4）

[ 原始碼： 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.

標籤: 領域: 統計學, 實做語言: Java, 使用者介面: interface::commandline, interface::graphical, X 視窗系統, 角色: role::program, science::calculation, 範圍: 實用程式, Purpose: Analysing, use::calculating, works-with-format::TODO, 處理: 資料庫, works-with::text, x11::application

其他與 weka 有關的套件

• dep: cup (>= 0.11a+20060608)

  LALR parser generator for Java(tm)

• dep: default-jre

  Standard Java or Java compatible Runtime

  或者 java7-runtime

  本虛擬套件由這些套件填實： default-jre, openjdk-17-jre, openjdk-21-jre

  或者 java6-runtime

  本虛擬套件由這些套件填實： default-jre, openjdk-17-jre, openjdk-21-jre

• dep: java-wrappers

  wrappers for java executables

• sug: libsvm-java

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

下載 weka

下載可用於所有硬體架構的

硬體架構	套件大小	安裝後大小	檔案
all	6，541。0 kB	13，185。0 kB	[檔案列表]