Jupyter notebooks

Jupyter notebooks are extremely popular in the Python world, simply because it is great to combine documentation and code in a visually appealing way. Makes it an ideal tool for teaching!

A recent post on the MOA blog, demonstrated the IJava kernel for executing Java scripts. The kernel relies on the Java JDK 9+ feature called JShell, which allows executing Java code without compiling it first.

Rather than using mybinder.org, I was intrigued how easy it would be to run it on ones local machine. As it turns out, extremely easy!


Here is what I did on my Linux Mint 18.2 machine:

  • created a directory called weka-notebooks

    mkdir weka-notebooks
  • changed into the directory and created a Python virtual environment:

    cd weka-notebooks
    virtualenv -p /usr/bin/python3.5 venv
  • installed Jupyter notebooks and its dependencies:

    venv/bin/pip install jupyter
  • then I downloaded the latest IJava release (at time of writing, this was 1.20) into this directory

  • unzipped the IJava archive:

    unzip -q ijava*.zip
  • and installed the Java kernel into my virtual environment, using the IJava installer:

    venv/bin/python install.py --sys-prefix
  • after that, I fired up Jupyter using:

  • now you can create new notebooks!


The following example cross-validates J48 on the UCI dataset anneal (you can download the notebook for the developer version of Weka and the stable 3.8 version):



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