confusion_matrix        Confusion matrix for predictions
create_model            Define transformer model
create_vocabulary       Create a vocabulary
get_vocabulary          Utils
max_case_length         Calculate the maximum length of a case / number
                        of activities in the longest trace in an event
                        log
num_outputs             Calculate number of outputs (target variables)
plot.ppred_predictions
                        Plot Methods
ppred_examples_df       ppred_examples_df object
ppred_model             ppred_model object
ppred_predictions       ppred_predictions object
prepare_examples        Convert a dataset of type 'log' into a
                        preprocessed format.
print.ppred_model       Print methods
processpredictR         processpredictR
split_train_test        Splits the preprocessed 'data.frame'.
stack_layers            Stacks a keras layer on top of existing model
tokenize                Tokenize features and target of a processed
                        dataset of class 'ppred_examples_df'
vocab_size              Calculate the vocabulary size, i.e. the sum of
                        number of activities, outcome labels and
                        padding keys
