This repo contains example code for

• setting up dependecies (environment + compute target)
• a traditional long python script, excuting an experiment via Azure ML
• a modular pipeline, executing the experiment in several steps
• creating a triggered schedule for rerunning the pipeline.

Make sure to add your config.json (from your Azure ML Workspace) to your root or src directory.

The code will not run, as you do not have access to the original dataset. Replace code and dataset with your own.