denspp.offline.dnn.handler.train_cl#

Module Contents#

Functions#

do_train_classifiers

Training routine for Classification DL models

API#

denspp.offline.dnn.handler.train_cl.do_train_classifiers(class_dataset, settings: denspp.offline.dnn.dnn_handler.ConfigMLPipeline, yaml_name_index: str = 'Config_Neural', used_dataset_name: str = 'quiroga', used_model_name: str = '') → str[source]#

Training routine for Classification DL models

Parameters:

  • class_dataset – Class of custom-made SettingsDataset from src_dnn/call_dataset.py

  • settings – Handler for configuring the routine selection for train deep neural networks

  • yaml_name_index – Index of yaml file name

  • used_dataset_name – Used dataset name

  • used_model_name – Used model for DNN training

Returns:

String with path to folder in which results are saved