Process Prediction

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Documentation for package ‘processpredictR’ version 0.1.0

• DESCRIPTION file.
• User guides, package vignettes and other documentation.

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