def test_from_config_to_config(mm):
mm.is_objective = True
config = mm.to_config()
mm2 = Metric.from_config(config)
assert mm2.name == 'name'
assert mm2.direction == 'min'
assert mm2.get_history() == [10, 11]
assert mm2.is_objective
def from_config(config, with_values=True):
"""Generate a MetricsCollection from a configuration dictionary
Args:
config - (dict) The configuration dict returned from to_config.
with_values - (bool) If True, metric values are copied. If False,
only the metadata is copied. Defaults to True.
Returns:
(MetricsCollection) The collection of metrics defined by the config.
"""
col = MetricsCollection()
for metric_config in config:
metric = Metric.from_config(metric_config, with_values=with_values)
col.add(metric)
if metric.is_objective:
col._objective_name = metric.name
return col