Once your feature extractor has been created and your dataset obtained, the next element to establish is a model building pipeline. The definition of the model building pipeline can be shown better in the following diagram:
For each of the steps, we will discuss how they relate to the pipeline that you choose in the next section.
Discussing attributes to consider in a pipeline platform
There are quite a few pipeline tools that are available for deployment on-premises, both in the cloud and as SaaS (Software as a Service) services. We will review a few of the more commonly used platforms in the industry. However, the following points are a few elements to keep in mind, no matter which platform you choose:
- Speed is important for several reasons. While building your initial model, the time to iterate is very important, as you will more than likely be adjusting your training set and hyper-parameters in order to test various combinations. On the other...
