def weighted_average(args):
"""
Apply a weighted average to the models.
:param args: Options for the averaging function:
* models: Path to the models.
* dest: Path to the averaged model. If unspecified, the model is saved in './model'
* weights: Weight given to each model in the averaging. Should be the same number of weights than models.
If unspecified, it applies the same weight to each model (1/N).
:return:
"""
logger.info("Averaging %d models" % len(args.models))
average_models(args.models, args.dest, weights=args.weights)
logger.info('Averaging finished.')
def weighted_average(args):
logging.info("Averaging %d models" % len(args.models))
average_models(args.models, args.dest, weights=args.weights)
logging.info('Averaging finished.')
def weighted_average(args):
logging.info("Averaging %d models" % len(args.models))
average_models(args.models, args.dest, weights=args.weights)
logging.info('Averaging finished.')