split_train_test

Returns train- and test dataframes as a list.

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 

split_train_test function

<dl><dt>processed_df</dt>
<dd>A preprocessed object of type <code>ppred_examples_df</code> returned by <code>prepare_examples()</code>.</dd>
<dt>split</dt>
<dd><code><a href="/link/numeric?package=processpredictR&version=0.1.0" data-mini-rdoc="processpredictR::numeric">numeric</a></code> (default 0.7): A train-test split ratio.</dd></dl>

Arguments

Splits the preprocessed data.frame. — split_train_test

<dl>

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


<dt>split</dt>
<dd><code><a href='https://rdrr.io/r/base/numeric.html'>numeric</a></code> (default 0.7): A train-test split ratio.</dd>

</dl>

Splits the preprocessed <code><a href='https://rdrr.io/r/base/data.frame.html'>data.frame</a></code>.

Splits the preprocessed <code><a href="/link/data.frame?package=processpredictR&version=0.1.0" data-mini-rdoc="processpredictR::data.frame">data.frame</a></code>.

split_train_test: Splits the preprocessed `data.frame`.

Description

Usage

Value

Arguments

Examples