Hi, I've experimented with the anomaly detection example, and it has proven to be exceptionally helpful in saving me a significant amount of time while establishing the anomaly detection test. I do have a question:
I am currently engaged in multivariate forecasting and wish to conduct anomaly detection on individual components. To achieve this, I have employed component_wise=True for the scorer, and it has been effective. However, when attempting to utilize show_anomalies (which gives visually appealing result figures), all the results are put into a single figure, making it challenging to discern individual results. I have been unable to identify a method to plot each variable separately. Could you provide guidance on this matter?Thanks!
Hi, I've experimented with the anomaly detection example, and it has proven to be exceptionally helpful in saving me a significant amount of time while establishing the anomaly detection test. I do have a question:
I am currently engaged in multivariate forecasting and wish to conduct anomaly detection on individual components. To achieve this, I have employed
component_wise=True
for the scorer, and it has been effective. However, when attempting to utilizeshow_anomalies
(which gives visually appealing result figures), all the results are put into a single figure, making it challenging to discern individual results. I have been unable to identify a method to plot each variable separately. Could you provide guidance on this matter?Thanks!