5 docs tagged with "serialization"

A tutorial that uses Keras, Scikit-Learn, and Metaflow to operationalize a machine learning workflow.

XGBoost uses a data structure called a DMatrix, which I cannot assign to self in a Metaflow flow because it is not pickleable. How do I pass a DMatrix between steps?

Why does reproducibility matter in machine learning and how does it affect workflows?

How can I use Metaflow to save and version data artifacts such as arrays, dataframes, or other Python objects with Metaflow. How can I access and update artifacts throughout the steps of a flow?

A description of cross-validation, its use cases, and ways to implement cross validation in practical machine learning workflows.