Supporting a New Dataset
Explore how to extend an existing machine learning training pipeline to support new datasets like AutoMPG. Understand how to create new dataset and model modules, handle dataset-specific preprocessing, and implement necessary abstract methods to maintain pipeline flexibility for multiple projects.
We'll cover the following...
We'll cover the following...
Extending the pipeline to new projects
So far, we’ve built an ML training pipeline and trained it on one specific problem—iris classification. A pipeline that works for a single project is good, but a pipeline that can extend to multiple projects is significantly more useful because it saves development effort.
We’ve used our pipeline to train a model to predict the species of irises. Can we extend it to new projects, such as predicting fuel consumption for ...