vocab_size

Calculate the vocabulary size, i.e. the sum of number of activities, outcome labels and padding keys

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 

vocab_size function

<dl><dt>processed_df</dt>
<dd>A processed dataset of class <code>ppred_examples_df</code> from <code>prepare_examples()</code>.</dd></dl>

Arguments

Calculate the vocabulary size, i.e. the sum of number of activities, outcome labels and padding keys — vocab_size

<dl>

<dt>processed_df</dt>
<dd>A processed dataset of class <code>ppred_examples_df</code> from <code>prepare_examples()</code>.</dd>

</dl>

vocab_size: Calculate the vocabulary size, i.e. the sum of number of activities, outcome labels and padding keys

Description

Usage

Value

Arguments

Examples