def _get_metric_history():
request_message = _get_request_message(GetMetricHistory())
response_message = GetMetricHistory.Response()
metric_entites = _get_store().get_metric_history(
request_message.run_uuid, request_message.metric_key)
response_message.metrics.extend([m.to_proto() for m in metric_entites])
response = Response(mimetype='application/json')
response.set_data(message_to_json(response_message))
return response
def _get_metric_history():
request_message = _get_request_message(GetMetricHistory(), from_get=True)
response_message = GetMetricHistory.Response()
metric_entites = _get_store().get_metric_history(
request_message.run_uuid, request_message.metric_key)
response_message.metrics.extend([m.to_proto() for m in metric_entites])
response = Response(mimetype='application/json')
response.set_data(
MessageToJson(response_message, preserving_proto_field_name=True))
return response
def _get_metric_history():
request_message = _get_request_message(GetMetricHistory())
response_message = GetMetricHistory.Response()
run_id = request_message.run_id or request_message.run_uuid
run = _get_tracking_store().get_run(request_message.run_id)
run_auth_check(run)
metric_entites = _get_tracking_store().get_metric_history(
run_id, request_message.metric_key)
response_message.metrics.extend([m.to_proto() for m in metric_entites])
response = Response(mimetype="application/json")
response.set_data(message_to_json(response_message))
return response
def get_metric_history(self, run_uuid, metric_key):
"""
Returns all logged value for a given metric.
:param run_uuid: Unique identifier for run
:param metric_key: Metric name within the run
:return: A list of float values logged for the give metric if logged, else empty list
"""
req_body = _message_to_json(GetMetricHistory(run_uuid=run_uuid, metric_key=metric_key))
response_proto = self._call_endpoint(GetMetricHistory, req_body)
return [Metric.from_proto(metric).value for metric in response_proto.metrics]
def get_metric_history(self, run_uuid, metric_key):
"""
Return all logged values for a given metric.
:param run_uuid: Unique identifier for run
:param metric_key: Metric name within the run
:return: A list of :py:class:`mlflow.entities.Metric` entities if logged, else empty list
"""
req_body = message_to_json(GetMetricHistory(run_uuid=run_uuid, metric_key=metric_key))
response_proto = self._call_endpoint(GetMetricHistory, req_body)
return [Metric.from_proto(metric) for metric in response_proto.metrics]
