Chapter 8. Sharing Models with Prediction Services
Thus far, we have examined how to build a variety of models with data sources ranging from standard 'tabular' data to text and images. However, this only accomplishes part of our goal in business analysis: we can generate predictions from a dataset, but we cannot easily share the results with colleagues or with other software systems within a company. We also cannot easily replicate the results as new data becomes available without manually re-running the sorts of analyses discussed in previous chapters or scale it to larger datasets over time. We will also have difficulty to use our models in a public setting, such as a company's website, without revealing the details of the analysis through the model parameters exposed in our code.
To overcome these challenges, the following chapter will describe how to build 'prediction services', web applications that encapsulate and automate the core components of data transformation, model fitting,...