def configure_print_logging(rootname="flowcat"):
"""Configure default logging for visual output to stdout."""
handlers = [
utils.create_handler(logging.StreamHandler(), level=logging.INFO)
]
utils.add_logger(rootname, handlers, level=logging.DEBUG)
utils.add_logger(LOGGER, handlers, level=logging.DEBUG)
io_functions.save_casesom(reference, reference_output)
reference = reference_output
if mode == "fit":
return
if transargs is None:
transargs = {
"max_epochs": 4,
"batch_size": 50000,
"initial_radius": 4,
"end_radius": 1,
}
model = io_functions.load_casesom(reference,
tensorboard_dir=tensorboard_dir,
**transargs)
som_output = output / "som"
transform_cases(dataset, model, som_output)
if __name__ == "__main__":
handlers = [
utils.create_handler(logging.StreamHandler(), level=logging.INFO)
]
utils.add_logger("flowcat", handlers, level=logging.DEBUG)
utils.add_logger(LOGGER, handlers, level=logging.DEBUG)
argmagic(main)