Weka is a collection of machine learning algorithms for solving real-world data mining problems. It is written in Java and runs on almost any platform. The algorithms can either be applied directly to a dataset or called from your own Java code.
Features:
- machine learning
- data mining
- preprocessing
- classification
- regression
- clustering
- association rules
- attribute selection
- experiments
- workflow
- visualization
Weka is available from here: https://www.cs.waikato.ac.nz/ml/weka/
This is a recipe for creating a Chocolatey.org nupkg for the chocolatey package manager.
Download nupkg from here and install using
choco install weka -s <path> -y
where is the folder you downloaded the file
NOTE: Java JRE or JDK is a pre-requisite. The nupkg will not enforce any specific dependency because of the range of Java implementations available.
To amend the source and build this:
- Install git and chocolatey
- Clone this repo with
git clone https://github.com/gsmitheidw/weka.gitMake any changes required to the source. - Package source code to nupkg with
choco packinside the .\weka\weka folder. - Install using:
choco install weka --source <path>where is the folder the nupkg is stored.