Training a model using Red Hat ODS

Let’s build a simple model using Red Hat ODS. Recall Chapter 3, Building Machine Learning models with OpenShift, and create a new data science project named wines. Create a workbench named wines inside the project using the Standard Data Science notebook image and a Small container size. Create new persistence storage named wines with 20 GB of storage. There is no need to create a data connection at this stage. Once you create this project, you will have the following screen for your project:

Figure 4.8 – Red Hat data science project

1. Now, launch the notebook and clone the accompanying Git repository of this book. Use the chapter4/wine-data-version.ipynb file to create a version of the wines.csv file in the Pachyderm repo. Note the commit ID while running this notebook.
2. Once you have executed this notebook, open chapter4/wine-training.ipynb to train a simple linear regression model. Let’...