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]