What Spark's Imputer actually does to your NaNs

Imputer is the Spark ML stage that fills missing numeric values, and the default strategy is the column mean.

#DBML #DataScience #MachineLearning #ApacheSpark

Full DBML explanation, free: https://navyduck.com/databricks/dbml/q232-imputer-spark-ml

The four stages of an MLflow model's life

Every model in the MLflow Model Registry moves through the same four stages: None, Staging, Production, Archived.

#DBML #MLflow #MLOps #ModelRegistry

Full DBML explanation, free: https://navyduck.com/databricks/dbml/q003-mlflow-model-registry-stages