R: Process Prediction

# Process Prediction

## Documentation for package ‘processpredictR’ version 0.1.1

- DESCRIPTION file
- User guides, package vignettes and other documentation
- Package README

## Help Pages

processpredictR-package | processpredictR
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