a tiny ludwig example

Just a clone-able, runnable (🤞), minimal example of the Ludwig low code toolbox.

The example is the Auto MPG example used in the Ludwig documentation. That is itself a recreation of the basic regression TensorFlow example. Here, we include the dataset and explicit instructions.

contents

The automobiles directory contains:

• A cleaned csv of the Auto MPG data set. Rows with missing values have had the ? character from the original dataset removed to avoid parsing errors.
• A model specification file, model_definition.yaml.
• A run script with the right Ludwig invocation, experiment.sh.

instructions

Assuming you have a working python3 installation and git on a unix operating system.

• Open a terminal.
• Clone this repo somewhere sensible with git clone git@github.com:cjwallace/a-tiny-ludwig-example.git.
• cd into the repo.
• Run python3 -m venv venv.
• Run source venv/bin/activate.
• Run pip install ludwig.
• cd into the automobiles directory.
• Run ./experiment.sh.
  • If this doesn't work, you may need to run chmod +x experiment.sh first to give the script permission to execute.
  • Alternatively, copy the contents of experiment.sh and run it on the command line directly.
• Sit back and relax.