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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!
The text was updated successfully, but these errors were encountered:
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!The text was updated successfully, but these errors were encountered: