API for processpredictR
Process Prediction

Global functions
%>% Man page
.onLoad Source code
BaseAttention Source code
CausalSelfAttention Source code
CrossAttention Source code
DecoderLayer Source code
EncoderLayer Source code
FeedForward Source code
GlobalSelfAttention Source code
TokenAndPositionEmbedding Source code
TokenAndPositionEmbedding_RemainingTrace Source code
TransformerBlock Source code
activities_list Source code
activities_list.log Source code
compile Man page
compile.ppred_model Source code
confusion_matrix Man page Source code
confusion_matrix.ppred_predictions Source code
create_model Man page Source code
create_model.ppred_examples_df Source code
create_vocabulary Man page Source code
evaluate Man page
evaluate.ppred_model Source code
evaluate_s2s Source code
fit Man page
fit.ppred_model Source code
get_task Source code
get_vocabulary Man page Source code
hot_encode_feats Source code
max_case_length Man page Source code
num_outputs Man page Source code
plot.ppred_predictions Man page Source code
ppred_examples_df Man page
ppred_model Man page
ppred_predictions Man page
predict Man page
predict.ppred_model Source code
predict_s2s Source code
prep_remaining_trace2 Source code
prepare_examples Man page Source code
prepare_examples.eventlog Source code
print.ppred_model Man page Source code
print.remaining_trace2_model Source code
processpredictR Man page
processpredictR-package Man page
reexports Man page
split_train_test Man page Source code
split_train_test.ppred_examples_df Source code
stack_layer Source code
stack_layers Man page Source code
stack_layers.ppred_model Source code
tokenize Man page Source code
tokenize.ppred_examples_df Source code
vocab_size Man page Source code
processpredictR documentation built on Jan. 18, 2023, 1:09 a.m.