tokenize

Tokenize features and target of a processed <code>ppred_examples_df</code> object to fit the Transformer model.

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 ways 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" <arXiv:2104.00721>.

Gert Janssenswillen

processpredictR

Process Prediction

Ivan Esin

Hasselt University 

tokenize function

<dl><dt>processed_df</dt>
<dd>A preprocessed object of type <code>ppred_examples_df</code> returned by <code>prepare_examples()</code>.</dd></dl>

Arguments

Tokenize features and target of a processed dataset of class ppred_examples_df — tokenize

<dl>

<dt>processed_df</dt>
<dd>A preprocessed object of type <code>ppred_examples_df</code> returned by <code>prepare_examples()</code>.</dd>

</dl>

tokenize: Tokenize features and target of a processed dataset of class `ppred_examples_df`

Description

Usage

Value

Arguments