So the first lesson is on how to install WEKA (a machine learning software to solve data mining problems) on windows & Mac OS X. Weka 64-bit (Waikato Environment for Knowledge Analysis) is a popular suite of machine learning software written in Java.
There are two versions of Weka: Weka 3.8 is the latest stable versionand Weka 3.9 is the development version. New releases of these two versionsare normally made once or twice a year. For the bleeding edge, it isalso possible to download nightly snapshots of these two versions.
The stable version receives only bug fixes and feature upgrades thatdo not break compatibility with its earlier releases, while thedevelopment version may receive new features that break compatibilitywith its earlier releases.
Weka 3.8 and 3.9 feature a package management system that makes iteasy for the Weka community to add new functionality to Weka. Thepackage management system requires an internet connection in order todownload and install packages.
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Every night, a snapshot of the Subversion repository with the Wekasource code is taken, compiled, and put together in ZIP files. Thishappens for both the development branch of the software and the stablebranch. Those who want the latest bug fixes before the next officialrelease is made can download thesesnapshots.
Weka 3.8 is the latest stable version of Weka. This branch of Wekaonly receives bug fixes and upgrades that do not break compatibilitywith earlier 3.8 releases, although major new features may becomeavailable in packages. There are different options for downloadingand installing it on your system:
Windows
This executable will install Weka in your Program Menu. Launching via the ProgramMenu or shortcuts will automatically use the included JVM to run Weka.
Mac OS
Linux
Weka Download For Windows 10
First unzip the the zip file. This will create a new directory calledweka-3-8-4. To run Weka, change into that directory and type
Other platforms
First unzip the zip file. This will create a new directory calledweka-3-8-4. https://yellowipad607.weebly.com/autocad-2011-mac-download-crack.html. To run Weka, change into that directory and type 03xw0kr.diarynote.jp/202010131318589538/.
Symantec definition download for mac. Note that Java needs to be installed on your system for this towork. Also note that using
-jar will override your currentCLASSPATH variable and only use the weka.jar .
This is the main development trunk of Weka and continues from the stable Weka 3.8 code line. Itmay receive new features that break backwards compatibility.
Windows
This executable will install Weka in your Program Menu. Adobe engineering santa rosa ca. Launching via the ProgramMenu or shortcuts will automatically use the included JVM to run Weka.
Mac OS
Linux
First unzip the the zip file. This will create a new directory calledweka-3-9-4. To run Weka, change into that directory and type
Other platforms
First unzip the zip file. This will create a new directory calledweka-3-9-4. To run Weka, change into that directory and type
Note that Java needs to be installed on your system for this towork. Also note, that using
-jar will override your currentCLASSPATH variable and only use the weka.jar .
All old versions of Weka are available from the Sourceforgewebsite.
Upgrading from Weka 3.7
In case you are upgrading an existing Weka 3.7 installation, if theWeka 3.8 package manager does not start up, please delete the file
installedPackageCache.ser in the packages folder that resides inthe wekafiles folder in your user home. Also, serialized Weka modelscreated in 3.7 are incompatible with 3.8. The modelmigratortool can migrate some models to 3.8 (a knownexception is RandomForest). Usage is as follows:
You need to unzip the Weka zip file to a directory of your choice.
CPU
Find ip on mac. For the package no further requisites are necessary.
GPU
The GPU additions needs the CUDA Toolkit 10.0, 10.1, or 10.2 backend with the appropriate cuDNN library to be installed on your system. Nvidia provides some good installation instructions for all platforms:
CUDA ToolkitCUDNN
Weka packages can be easily installed either via the user interface as described here, or simply via the commandline:
where
<WEKA-JAR-PATH> must be replaced by the path pointing to the Weka jar file, and <PACKAGE-ZIP> is the wekaDeeplearning4j package zip file.
You can check whether the installation was successful with
which results in
Add GPU Support
To add GPU support, download and run the latest
install-cuda-libs.sh for Linux/Macosx or install-cuda-libs.ps1 for Windows. Make sure CUDA is installed on your system as explained here.
Weka Download For Windows
The install script automatically downloads the libraries and copies them into your wekaDeeplearning4j package installation. If you want to download the library zip yourself, choose the appropriate combination of your platform and CUDA version from the latest release and point the installation script to the file, e.g.:
One way to use this package through the Java API is to use reflection. In this case, the WekaPackageManagerloads this library at runtime. This has the benefit of not needing to include the WekaDeeplearning4j
.jar filein your CLASSPATH, however, means that the IDE cannot type-check the arguments.
Java examples with reflection
It is also possible to include this package as maven project. As of now it is not provided in any maven repository, therefore you need to install this package to your local
.m2 repository:
or, if you want the cuda version:
Now you can add the maven dependency in your
pom.xml file Rise of atlantis mac download.
Weka Tool Download
Note that building WekaDeeplearning4J from source is only supported on Ubuntu. If you wish to include this package in a maven project on Windows then download the latest
.zip file (e.g. wekaDeeplearning4j-1.15.14.zip ) from the releases page, extract to get the wekaDeeplearning4j-x.x.x.jar file, and install this .jar file in your local maven repository via these instructions.
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