Pww27/bin/python -c "import as jvm jvm.start() jvm.stop()"Ģ. Pww27/bin/pip install python-weka-wrapper virtual environment for Python 2.7 (virtualenv): virtualenv -p /usr/bin/python2.7 pww27 OK, let's create the virtual environments and test them:ġ. This command will generate output similar to the following (paths will be different, of course): DEBUG::Adding bundled jarsĭEBUG::Classpath=ĭEBUG::Package support disabled The instructions below create directories ( pww27 and pww36 in your current directory), which you can simply delete, if you no longer require these virtual environments.īut, I've also listed instructions on how to use Anaconda further below.Įach of the virtual environments will run a test command: import the jvm module, start and stop the JVM, using python -c ".", to check whether the environment is working.
I'm not a big fan of Anaconda, as I find it overkill, especially since virtualenv does things in a much leaner, cleaner and faster way. Though Oracle JDK is recommended, you can get it to work with OpenJDK as well, just make sure to install the sources as well: sudo apt-get install openjdk-8-source openjdk-8-jdk Specifies the number of nearest neighbors to use.I'm not sure what you're doing wrong in your install, but here are the steps that I performed to get python-weka-wrapper installed for Python 2.7 and 3.6, on a freshly installed (and fully up-to-date) Ubuntu 18.04.1:įirst, ensure to have pip installed and you can compile source code: sudo apt-get install python-pip python3-pip virtualenv build-essential Specifies percentage of SMOTE instances to create. Journal of Artificial Intelligence Research. Synthetic Minority Over-sampling Technique. The amount of SMOTE and number of nearest neighbors may be specified.
The original dataset must fit entirely in memory. Resamples a dataset by applying the Synthetic Minority Oversampling TEchnique (SMOTE).
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