def get_metric_results(self, metric):
"""
:param metric:
:return: MetricEvaluationResult for specified metric
"""
return self._results[metric_description_or_str_to_str(metric)]
def get_metric_results(self, metric):
"""
:param metric:
:return: MetricEvaluationResult for specified metric
"""
return self._results[metric_description_or_str_to_str(metric)]
def __init__(self, metric_results):
if len(metric_results) < 1:
raise CatboostError("Need at least one result")
self._results = dict()
self._metrics = dict()
self._cases = None
for result in metric_results:
metric_description = result.get_metric_description()
if metric_description in self._results:
raise CatboostError("Duplicate metric {}".format(metric_description))
if self._cases is None:
self._cases = result.get_cases()
key = metric_description_or_str_to_str(metric_description)
self._results[key] = result
self._metrics[key] = metric_description
def __init__(self, metric_results):
if len(metric_results) < 1:
raise CatBoostError("Need at least one result")
self._results = dict()
self._metrics = dict()
self._cases = None
for result in metric_results:
metric_description = result.get_metric_description()
if metric_description in self._results:
raise CatBoostError("Duplicate metric {}".format(metric_description))
if self._cases is None:
self._cases = result.get_cases()
key = metric_description_or_str_to_str(metric_description)
self._results[key] = result
self._metrics[key] = metric_description
