Model training

After feature extraction, you are now prepared to train your model. Model training with ML.NET, thankfully, is very straightforward. Depending on the amount of data extracted in the feature extraction phase, the complexity of the pipeline, and the specifications of the host machine, this step could take several hours to complete. When your pipeline becomes much larger and your model becomes more complex, you may find yourself requiring potentially more compute resources than your laptop or desktop can provide; tooling such as Spark exists to help you scale to n number of nodes.

In Chapter 11, Training and Building Production Models, we will discuss tooling and tips for scaling this step using an easy-to-use open source project.