def _get_metric_from_file(parent_path, metric_name):
_validate_metric_name(metric_name)
metric_data = read_file_lines(parent_path, metric_name)
if len(metric_data) == 0:
raise Exception("Metric '%s' is malformed. No data found." % metric_name)
last_line = metric_data[-1]
timestamp, val = last_line.strip().split(" ")
return Metric(metric_name, float(val), int(timestamp))
def get_metric_history(self, run_id, metric_key):
_validate_run_id(run_id)
_validate_metric_name(metric_key)
parent_path, metric_files = self._get_run_files(run_id, "metric")
if metric_key not in metric_files:
raise MlflowException("Metric '%s' not found under run '%s'" % (metric_key, run_id),
databricks_pb2.RESOURCE_DOES_NOT_EXIST)
return [FileStore._get_metric_from_line(metric_key, line)
for line in read_file_lines(parent_path, metric_key)]
def _get_param_from_file(parent_path, param_name):
_validate_param_name(param_name)
param_data = read_file_lines(parent_path, param_name)
if len(param_data) == 0:
raise Exception("Param '%s' is malformed. No data found." % param_name)
if len(param_data) > 1:
raise Exception("Unexpected data for param '%s'. Param recorded more than once"
% param_name)
return Param(param_name, str(param_data[0].strip()))
def _get_param_from_file(parent_path, param_name):
_validate_param_name(param_name)
param_data = read_file_lines(parent_path, param_name)
if len(param_data) > 1:
raise Exception("Unexpected data for param '%s'. Param recorded more than once"
% param_name)
# The only cause for param_data's length to be zero is the param's
# value is an empty string
value = '' if len(param_data) == 0 else str(param_data[0].strip())
return Param(param_name, value)
def _get_metric_from_file(parent_path, metric_name):
_validate_metric_name(metric_name)
metric_objs = [FileStore._get_metric_from_line(metric_name, line)
for line in read_file_lines(parent_path, metric_name)]
if len(metric_objs) == 0:
raise ValueError("Metric '%s' is malformed. No data found." % metric_name)
# Python performs element-wise comparison of equal-length tuples, ordering them
# based on their first differing element. Therefore, we use max() operator to find the
# largest value at the largest timestamp. For more information, see
# https://docs.python.org/3/reference/expressions.html#value-comparisons
return max(metric_objs, key=lambda m: (m.step, m.timestamp, m.value))
def get_metric_history(self, run_uuid, metric_key):
_validate_run_id(run_uuid)
_validate_metric_name(metric_key)
parent_path, metric_files = self._get_run_files(run_uuid, "metric")
if metric_key not in metric_files:
raise Exception("Metric '%s' not found under run '%s'" %
(metric_key, run_uuid))
metric_data = read_file_lines(parent_path, metric_key)
rsl = []
for pair in metric_data:
ts, val = pair.strip().split(" ")
rsl.append(Metric(metric_key, float(val), int(ts)))
return rsl
def _get_metric_from_file(parent_path, metric_name):
_validate_metric_name(metric_name)
metric_data = []
for line in read_file_lines(parent_path, metric_name):
metric_timestamp, metric_value = line.split()
metric_data.append((int(metric_timestamp), float(metric_value)))
if len(metric_data) == 0:
raise ValueError("Metric '%s' is malformed. No data found." %
metric_name)
# Python performs element-wise comparison of equal-length tuples, ordering them
# based on their first differing element. Therefore, we use max() operator to find the
# largest value at the largest timestamp. For more information, see
# https://docs.python.org/3/reference/expressions.html#value-comparisons
max_timestamp, max_value = max(metric_data)
return Metric(metric_name, max_value, max_timestamp)
