def __init__(self, num_datasets, dataset_size):
"""Creates a new GA parameter tuner.
This class can be used to tune the parameters of a GA but testing the
performance across a range of different parameter settings.
:param num_datasets: the number of datasets to generate
:param dataset_size: the size of the dataset to generate
"""
self._num_datasets = num_datasets
self._generator = TSPGenerator(dataset_size)
def generate(output_file, num_points):
generator = TSPGenerator(num_points)
logger.info("Generating %d points" % num_points)
data, _ = generator.generate()
save_dataset(data, output_file)
def generate_random_dataset(num_points):
logger.info('Generating %d uniformly random points' % num_points)
generator = TSPGenerator(num_points)
return generator.generate()
