I have loudml-grafana-app running on local Windows and LoudML server running in Docker.
It seems to be working fine.
The output bucket in InfluxDB conists of:
@mean_Temperature
mean_Temperature
upper_mean_Temperature
lower_mean_Temperature
score
I am running model that is created from "Create baseline" in Grafana plugin
The issues, I am having:
Data posted to output bucket is not a forecast since it is delayed.
Change values in LoudML Server datasource (in Grafana) - results in failure. Data saved in panel, but no forecast generated (no data posted do InfluxDB)
What is the best way to retrain or change the spec the model?
Should I train the model using LoudML CLI?
I have loudml-grafana-app running on local Windows and LoudML server running in Docker. It seems to be working fine. The output bucket in InfluxDB conists of: @mean_Temperature mean_Temperature upper_mean_Temperature lower_mean_Temperature score
I am running model that is created from "Create baseline" in Grafana plugin
The issues, I am having:
Data posted to output bucket is not a forecast since it is delayed.
Change values in LoudML Server datasource (in Grafana) - results in failure. Data saved in panel, but no forecast generated (no data posted do InfluxDB)
What is the best way to retrain or change the spec the model? Should I train the model using LoudML CLI?