NeSy4PPM package¶
Subpackages¶
- NeSy4PPM.Data_preprocessing package
- Submodules
- NeSy4PPM.Data_preprocessing.data_preprocessing module
- NeSy4PPM.Data_preprocessing.log_utils module
LogData
LogData.act_enc_mapping
LogData.act_name_key
LogData.case_name_key
LogData.compliance_th
LogData.encode_log()
LogData.evaluation_prefix_end
LogData.evaluation_prefix_start
LogData.evaluation_th
LogData.evaluation_trace_ids
LogData.label_name_key
LogData.label_neg_val
LogData.label_pos_val
LogData.log
LogData.log_name
LogData.max_len
LogData.read_log()
LogData.res_enc_mapping
LogData.res_name_key
LogData.test_log_name
LogData.timestamp_key
LogData.timestamp_key2
LogData.timestamp_key3
LogData.timestamp_key4
LogData.train_log_name
LogData.training_trace_ids
- NeSy4PPM.Data_preprocessing.shared_variables module
- NeSy4PPM.Data_preprocessing.utils module
- Module contents
- NeSy4PPM.Prediction package
- NeSy4PPM.ProbDeclmonitor package
- NeSy4PPM.Training package
Submodules¶
NeSy4PPM.Evaluation module¶
- NeSy4PPM.Evaluation.discover_petri_net(log_path)¶
- NeSy4PPM.Evaluation.evaluate_all(log_data: LogData, model_arch: NN_model, encoder: Encodings, output_folder, filename, metrics, resource: bool = False, declare_model=None, petri_net_model=None, fitness_method=None)¶
- NeSy4PPM.Evaluation.get_fitness(event_log, bk_model, method_fitness='fitness_token_based_replay')¶
- NeSy4PPM.Evaluation.log_conformance(log, bk_model)¶