𝗪𝗜𝗡𝗞𝗟𝗜𝗡𝗞 𝗖𝗔𝗡 𝗛𝗘𝗟𝗣 𝗗𝗘𝗩𝗘𝗟𝗢𝗣𝗘𝗥𝗦 𝗗𝗜𝗦𝗧𝗜𝗡𝗚𝗨𝗜𝗦𝗛 𝗦𝗜𝗚𝗡𝗔𝗟 𝗙𝗥𝗢𝗠 𝗡𝗢𝗜𝗦𝗘
External information can contain fluctuations that are not meaningful for the decision an application needs to make.
A developer may need to distinguish a genuine change from a temporary anomaly, an incomplete observation, or a difference caused by the way a source reports its data.
When using WINkLink, the consuming application should define the relevant validation and interpretation rules rather than assuming every change deserves the same response.
Those rules must suit the data and the intended purpose. Filtering information too aggressively can hide important changes, while accepting every observation without evaluation can produce unstable behavior.
The goal is to ensure that the application responds to information according to a clearly understood methodology.
@Justin Sun孙宇晨 @WINkLink_Official #TRONEcoStar
External information can contain fluctuations that are not meaningful for the decision an application needs to make.
A developer may need to distinguish a genuine change from a temporary anomaly, an incomplete observation, or a difference caused by the way a source reports its data.
When using WINkLink, the consuming application should define the relevant validation and interpretation rules rather than assuming every change deserves the same response.
Those rules must suit the data and the intended purpose. Filtering information too aggressively can hide important changes, while accepting every observation without evaluation can produce unstable behavior.
The goal is to ensure that the application responds to information according to a clearly understood methodology.
@Justin Sun孙宇晨 @WINkLink_Official #TRONEcoStar