Explainability for Time Series Models
Pradeepta Mishra · Apress eBooks · 2021
A time series model is a way of generating a multi-step prediction along a future time period. There are statistical models and machine learning-based models that can be deployed to generate forecasting for the future based on historical data. If the model predictions can be trusted or not, what is the degree of confidence someone can have about the predictions? Models that can be explained and models that cannot be explained are certain things we are going to cover in this chapter.