Defining and setting up time series projects
In Chapter 4, Preparing Data for DataRobot, through to Chapter 8, Model Scoring and Deployment, we explored the creation, understanding, scoring, and deployment of basic models in DataRobot. We saw that DataRobot automatically built several models for us and we could then score a dataset using these built models. Further, after we have chosen a model that best aligns with our needs, DataRobot provides us a process to deploy our selected model. Due to the difference between time series modeling and other forms of predictive modeling, we will explore in this section how to mitigate problems by effectively defining and setting up time series projects in DataRobot.
The dataset we will use to explore the use of time series modeling with DataRobot is the Appliances energy prediction dataset that we explored in Chapter 4, Preparing Data for DataRobot. The goal of the project is to predict energy usage. This energy usage time series dataset...
