In this walkthrough, we will launch a Jupyter Notebook to train a logistic regression model based on the MNIST dataset. Gradient comes with a set of datasets that are readily available at /datasets location. Instead of downloading the MNIST dataset to local storage, we will access the existing dataset.
We will also learn how to save the model for inferencing by persisting the final joblib file to the /storage location.
