def validate(self):
p = Path(self.nn_path)
if p != p.absolute():
die('neural-net path must be absolute; got "%s"' % p)
nn_cfg = p / 'nn_config.toml'
if not nn_cfg.exists():
die('bad setting for neural-net path: no such file %s', nn_cfg)
def to_model(self):
p = Path(self.path)
if p != p.absolute():
raise Exception('the \"path\" item of the kzn-model configuration '
'must be an absolute path')
return KZNModel(
self.path,
self.soln_number,
)