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Extension nodes (SPSS Modeler)

Extension nodes

SPSS Modeler supports the languages R and Apache Spark (via Python).

To complement SPSS Modeler and its data mining abilities, several Extension nodes are available to enable expert users to input their own R scripts or Python for Spark scripts to carry out data processing, model building, and model scoring.

Before you begin

You can load R and Python libraries to use with the extension nodes. To run R or Python scripts, you must first install any packages that your scripts require. To install packages, you must include the following scripts in an Extension Output node, connect it to a User Input node, and then run the Extension Output node to start the installation process.
Tip: You can also insert these scripts in front of other scripts if you want the installation and your task-related scripts to run together.
To install R packages:
  1. Run the following command:
    install.packages("$PACAGE_NAME", quiet=TRUE, repos="$REPO_URL")
    For example:
    install.packages("Sequential", quiet=TRUE, repos="https://cloud.r-project.org")
  2. To verify that the package was installed successfully, run the following command:
    packageVersion("$PACKAGE_NAME")
    For example:
    packageVersion("Sequential")
Note: If the R package isn't available in your repository, the installation may fail. In such a case, you can try the same installation command from the R command line environment (not from R Studio).
To install Python packages:
  1. Run the following command:
    import sys
    import subprocess
    subprocess.check_call([sys.executable, '-m', 'pip', 'install', '$PACKAGE_NAME', '--quiet', '--no-input'])
    For example, the following command installs numpy:
    import sys
    import subprocess
    subprocess.check_call([sys.executable, '-m', 'pip', 'install', 'numpy', '--quiet', '--no-input'])
  2. To verify that the package was installed successfully, run the following command:
    import pkgutil
    pkgutil.ModuleInfo('$PACKAGE_NAME')
    For example, the following command verifies whether numpy is installed successfully:
    import pkgutil
    pkgutil.ModuleInfo('numpy')
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