What is continuous evaluation in machine learning?

What is continuous evaluation in machine learning?

Continuous evaluation is a process where machine learning models are regularly assessed on new data to ensure they perform well.

Why is continuous evaluation important?

It's important because it helps identify model drift, ensuring that the model remains accurate and relevant over time.

How can I implement continuous evaluation in my projects?

You can implement it by setting up automated testing pipelines that evaluate your model on new data at regular intervals.

What tools can assist with continuous evaluation?

Tools like MLflow, TensorBoard, and Kubeflow can help you monitor and evaluate your models continuously.