What allows verification of machine learning (ML) functionality for WildFire during a proof of concept?
What allows verification of machine learning (ML) functionality for WildFire during a proof of concept?
To verify machine learning functionality for WildFire during a proof of concept, executing the appropriate CLI command is the most effective method. This allows direct interaction with the system and provides detailed, real-time verification of the ML functionality, which a simple check of counters or logs may not sufficiently confirm.
A for sure - There are previous questions asking for the CLI syntax for exactly this.
Should be A
Should be A