def log_batch(self, run_id, metrics=(), params=(), tags=()):
"""
Log multiple metrics, params, and/or tags.
:param run_id: String ID of the run
:param metrics: If provided, List of Metric(key, value, timestamp) instances.
:param params: If provided, List of Param(key, value) instances.
:param tags: If provided, List of RunTag(key, value) instances.
Raises an MlflowException if any errors occur.
:return: None
"""
if len(metrics) == 0 and len(params) == 0 and len(tags) == 0:
return
if len(params) > 1:
_validate_param_keys_unique(params)
for metric in metrics:
_validate_metric(metric.key, metric.value, metric.timestamp,
metric.step)
for param in params:
_validate_param_name(param.key)
for tag in tags:
_validate_tag_name(tag.key)
self.store.log_batch(run_id=run_id,
metrics=metrics,
params=params,
tags=tags)
def log_batch(self, run_id, metrics, params, tags):
_validate_run_id(run_id)
_validate_batch_log_data(metrics, params, tags)
_validate_batch_log_limits(metrics, params, tags)
_validate_param_keys_unique(params)
run_info = self._get_run_info(run_id)
check_run_is_active(run_info)
try:
for param in params:
self._log_run_param(run_info, param)
for metric in metrics:
self._log_run_metric(run_info, metric)
for tag in tags:
self._set_run_tag(run_info, tag)
except Exception as e:
raise MlflowException(e, INTERNAL_ERROR)