Means to predict process flow, such as process outcome, next activity, next time, remaining time, and remaining trace. Off-the-shelf predictive models based on the concept of Transformers are provided, as well as multiple way to customize the models. This package is partly based on work described in Zaharah A. Bukhsh, Aaqib Saeed, & Remco M. Dijkman. (2021). "ProcessTransformer: Predictive Business Process Monitoring with Transformer Network"
The goal of processpredictR is to perform prediction tasks on processes using event logs and Transformer models.
You can install the development version of processpredictR from GitHub with:
# install.packages("devtools")
devtools::install_github("bupaverse/processpredictR")
```r
library(processpredictR)