Conversely, Python toolkits such as scikit-learn can be used from Weka.įor running Weka-based algorithms on truly large datasets, the distributed Weka for Spark package is available.
Weka's functionality can be accessed from Python using the Python Weka Wrapper. Weka models can be used, built, and evaluated in R by using the RWeka package for R conversely, R algorithms and visualization tools can be invoked from Weka using the RPlugin package for Weka. WEKA can be integrated with the most popular data science tools. Deep neural networks, including convolutional networks and recurrent networks, can be trained directly from Weka's graphical user interfaces, providing state-of-the-art methods for tasks such as image and text classification. WekaDeeplearning4j is a deep learning package for Weka. Note that programmers can also easily implement this pipeline using Weka's Java API: Second, we select a learning algorithm to use, e.g., the J48 classifier, which learns decision trees.įinally, we run a 10-fold cross-validation evaluation and obtain an estimate of predictive performance. Weka can be used to build machine learning pipelines, train classifiers, and run evaluations without having to write a single line of code:įirst, we open the dataset that we would like to evaluate. # nvimcom_0.9-27 knitr_1.15.1 colorout_1.It is widely used for teaching, research, and industrial applications, contains a plethora of built-in tools for standard machine learning tasks, and additionally gives transparent access to well-known toolboxes such as scikit-learn, R, and Deeplearning4j. # stats graphics grDevices utils datasets methods base I installed rJava from the Ubuntu repos: `sudo apt-get install r-cran-rjava` installed the latest open-source JDK: `sudo apt-get install openjdk-jdk` reconfigured R `sudo R CMD javareconf` and installed RWeka from in R: `install.packages("RWeka")`. I didn't save the original error, but my experience on Linux was similar. Install.packages( "rJava ", type = 'source ') # Success! So now that I updated the compiler and runtime environment (JDK) and reconfigured R, I tried installing rJava from source, then installing RWeka. Similarly, () suggested that the issue my colleague came across was due to mismatched compiler and runtime version (possibly with the runtime version being older than the compiler). A stackoverflow post (that I didn't save) suggested installing and compiling rJava from source, then installing your package. Then reconfiguring R from the command line: I first tried reinstalling the Java JDK with an up-to-date version: # error: JNI_GetCreatedJavaVMs returned -1 onLoad failed in loadNamespace() for 'RWekajars', details:
# JavaVM FATAL: Failed to load the jvm library. # JavaVM: Failed to load JVM: /bundle/Libraries/libserver.dylib # JavaVM: requested Java version ((null)) not available. This may involve finding it in program launcher or double clicking on the weka.jar file.
I have not been able to reproduce this exact error, but installing RWeka on both my Linux desktop (Mint 18) and my laptop (macOS 10.12.3) produced other errors. If you are interested in machine learning, then I know you can figure out how to download and install software into your own computer. ‘ / private / var / folders / l5 / jzzl6pp135b66b_rpb8tph_m0000gp / T / RtmpsIPZ5e / downloaded_packages’ Installation of package ‘ RWeka’ had non - zero exit status * removing ‘ / Users / / Library / R / 3.3 / library / RWeka’ jnew( "weka/core/WekaPackageClassLoaderManager ")Įrror : : weka / core / WekaPackageClassLoaderManager : Unsupported major.minor version 51.0 onLoad failed in loadNamespace() for 'RWeka ', details :Ĭall.
** testing if installed package can be loadedĮrror. ** package ‘ RWeka’ successfully unpacked and MD5 sums checked * installing * source * package ‘ RWeka’. There is a binary version available but the source version is later :Ĭontent type 'application/x-gzip ' length 409473 bytes ( 399 KB) Installing package into ‘ / Users / / Library / R / 3.3 / library’ Reconfigure R's java paths: R CMD javareconfĪ colleague ran into issues installing the R package RWeka on OSX. Install r-cran-rjava from system repositoriesģ. UNIVERSITY OF CALIFORNIA, SAN DIEGO SAN DIEGO SUPERCOMPUTER CENTER 3 4 University of Waikato. Install/Update open JDK 8 from system repositoriesĢ. Install RWeka: install.packages("RWeka")ġ.
Open it now and proceed to installation (check out this How to Download and Install APK and XAPK files guide if you experience. It is most commonly located in the Downloads folder. I suggest using a file manager app ( MiXPlorer is my choice as robust and easy to use) to locate apk file. Install rJava from source: install.packages("rJava", type = 'source')Ĥ. Step 4: Find and install the downloaded APK file. Reconfigure R's java paths: R CMD javareconfģ. Make sure up-to-date Java JDK is installedĢ.