Hello Kyle,
I read your paper recently "Detecting Spacecraft Anomalies Using LSTMs and Nonparametric Dynamic Thresholding"
Very nice paper. And I just have a question regarding your training dataset vs test dataset, which seem two different ones. any reason to set it that way? it will be great if you can clarify and help me understand.
For example:
In train dataset:
There are two major categories (1, and -1) in E-5.
In test dataset:
There are three categories(1, 0, -1) in E-5, and category 1 is point anomaly.
Thank you very much and hope to hear from you soon
Hello Kyle,
I read your paper recently "Detecting Spacecraft Anomalies Using LSTMs and Nonparametric Dynamic Thresholding"
Very nice paper. And I just have a question regarding your training dataset vs test dataset, which seem two different ones. any reason to set it that way? it will be great if you can clarify and help me understand.
For example:
In train dataset:
There are two major categories (1, and -1) in E-5.
In test dataset:
There are three categories(1, 0, -1) in E-5, and category 1 is point anomaly.
Thank you very much and hope to hear from you soon