Logging parameters, metrics, and models allow you to reproduce experiments and select the best-performing model. However, writing multiple log statements can be cumbersome.
For automatic logging, add mlflow.autolog() before your training code.
Logging parameters, metrics, and models allow you to reproduce experiments and select the best-performing model. However, writing multiple log statements can be cumbersome.
For automatic logging, add mlflow.autolog() before your training code.
