def init(project):
"""
Initialize new project at the current dir.
After init run your command. Example:
floyd run python tensorflow.py > /output/model.1
"""
experiment_config = ExperimentConfig(name=project,
family_id=generate_uuid())
ExperimentConfigManager.set_config(experiment_config)
FloydIgnoreManager.init()
floyd_logger.info(
"Project \"{}\" initialized in current directory".format(project))
def init(name):
"""
Initialize a new data upload.
After init ensure that your data files are in this directory.
Then you can upload them to Floyd. Example:
floyd data upload
"""
data_config = DataConfig(name=name, family_id=generate_uuid())
DataConfigManager.set_config(data_config)
floyd_logger.info("Data source \"{}\" initialized in current directory".format(name))
floyd_logger.info("""
You can now upload your data to Floyd by:
floyd data upload
""")