TNO PET Lab
The TNO PET Lab consists of generic software components, procedures, and functionalities developed and maintained on a regular basis to facilitate and aid in the development of PET solutions. The lab is a cross-project initiative allowing us to integrate and reuse previously developed PET functionalities to boost the development of new protocols and solutions.
The package tno.fl.protocols.logistic_regression v0.2.2.post1 is part of the TNO Python Toolbox.
tno.fl.protocols.logistic_regression’s documentation
- logistic_regression package
- logistic_regression.client module
- logistic_regression.config module
Config
ConfigParser
ConfigParser.CLIENT_NAMES_KEY
ConfigParser.EXPERIMENT_DATA_COLUMNS_KEY
ConfigParser.EXPERIMENT_EPOCHS_KEY
ConfigParser.EXPERIMENT_INTERCEPT_KEY
ConfigParser.EXPERIMENT_LEARNING_RATE_KEY
ConfigParser.EXPERIMENT_SECTION
ConfigParser.EXPERIMENT_TARGET_COLUMN_KEY
ConfigParser.LIST_SEPARATOR
ConfigParser.PARTY_ADDRESS_KEY
ConfigParser.PARTY_PORT_KEY
ConfigParser.PARTY_SECTION
ConfigParser.PARTY_TRAIN_DATA_KEY
ConfigParser.SERVER_NAME_KEY
ConfigParser.__init__()
ConfigParser.load_config()
ConfigParser.parse_clients()
ConfigParser.parse_data_columns()
ConfigParser.parse_intercept()
ConfigParser.parse_learning_rate()
ConfigParser.parse_list()
ConfigParser.parse_n_epochs()
ConfigParser.parse_party()
ConfigParser.parse_server()
ConfigParser.parse_target_column()
ConfigParser.to_config()
Party
- logistic_regression.msg_ids module
- logistic_regression.server module