This is a quick project that only contains the three deployment zips of a pipeline.
I worked through the webinterface for this project but you could do it with the CLI or client packages too.
This is a pipeline that combines three packages
- test-set-creator
- winepredictr
- scorer
In short: the testset creates a subset of the red-wine dataset without the quality score The winepredictr uses a previously trained model to predict quality of wines given their features, and returns a dataset with predicted quality The scorer takes the results, matches them to a testset and calculates the performance.