This is not meant as a comprehensive guide, rather just a place to start and get things up and running. Read further below for a background and explanation. Create a custom callback ## Tracking Classfrom mlflow.tracking import MlflowClientfrom mlflow.entities.run import Runfrom typing import Listclass MLFlowTracking(Callback): “A `LearnerCallback` that tracks the loss and other metrics into MLFlow” def __init__(self,...
Data pipelines are generally hard to explain and aren’t as interesting to those not directly involved in data analytics. How to make this more interesting and engaging? Simple. Make it in 3D. Animated. Interactive. Click & Drag. Middle mouse to zoom. Press 1 through 9 for animations. The above is a data pipeline animation for one of my recent...
I recently came across ‘Can Data Scientists spell Sustainability?’ by Yogi Schulz The article portrays the opposing views held by data science and information system departments and how each side view their responsibilities: “Data scientists see only throw-away software that will be discarded once the breakthrough insights have been actioned by management. The [information systems] department sees only thoroughly...