Training many models simultaneously

Like prepping data for many models, training many models is simply a matter of navigating to the correct notebook and running the cells. There's no custom code required, and you are simply required to change a few settings.

Like prepping data, you will first run the notebook step by step to carefully understand how it works. Once you have that understanding, you will then create a new notebook with code that uses the datasets you made from the sample data. This will benefit you tremendously, as you will understand exactly which parts of the code you need to change to facilitate your own projects.

Training the sample OJ dataset

To train many models using the OJ data and to understand the underlying process, follow these instructions step by step:

1. From the solution-accelerator-many-models folder, click on the Automated_ML folder.
2. From the Automated_ML folder, click on the 02_AutoML_Training_Pipeline folder.
3. Open 02_AutoML_Training_Pipeline...