INSTALL WEKA MAC INSTALL
I have put those commands together here, but I ran the install first, got the success message, then loaded the library.Īfter that I was able to load the arff data file using the read. The last step was to install the RWeka package, and then load the library.
![install weka mac install weka mac](https://www.cs.dartmouth.edu/~campbell/cs65/lecture22/images/FileUpload.png)
Install the RWeka package in R (or RStudio): The “non-zero exit status” was probably a result of the previous errors, and I could not figure out what if there was another possible reason for it, so I decided to keep going.ģ. I was a bit worried about all those errors but then I realized I had already installed rJava before, hence the “restorng previous…” message. Install.packages(“rJava”,type = “source”) I’m using RStudio here, but either way the command would be: Now, you can install the various packages that we require for installing python-weka-wrapper: sudo apt-get install python-pip python-numpy. In order to use Auto-WEKA through the WEKA GUI on OSX, WEKA must be run from the command line instead of the Mac application.
INSTALL WEKA MAC SOFTWARE
Relink R with the installed Java Library on OS X. Once the installation is finished, you will need to restart the software in order to load the library then we are ready to go. Here is the solution I found after a lovely Sunday morning jumping from thread to the thread on the ever helpful Stack Overflow:ġ.
INSTALL WEKA MAC MAC OS
When I tried to install the RWeka package into RStudio (on Mac OS X) I ran into a few issues and errors mostly involving Java. I was curious to see if I could do it more directly.Īfter some research I found that there are several options, one of which is the RWeka library.
![install weka mac install weka mac](https://www.baeldung.com/wp-content/uploads/sites/4/2021/12/weka-filter-1024x698.png)
To simplify it for others so that they do not have to go through the same as me, I started creating videos sharing my knowledge over those issues and also started making tutorials. In this post The Weka machine learning workbench is a powerful and yet easy to use. The first option, which is what most of my classmates are doing, is of course is to load the data into Weka and convert it to a CSV file and then load that file into R using the read.csv() command. As a computer science guy, I came across many technical issues while studying and working, I spent hours in resolving those issues. The Weka machine learning workbench is a powerful and yet easy to use platform for predictive modeling.
where![install weka mac install weka mac](https://i.ytimg.com/vi/BxS_oRZFgn4/maxresdefault.jpg)
To meet my goal of improving my R skills while taking this class I needed to find a way to read. We are using Weka 3 which so far is proving to be a pretty neat (FREE) data mining tool. I’m currently taking a data mining class, and I’m trying to do as much of the coding in the class using R for practice.