Which of the following tests should be performed at the production level before deploying a newly retrained model?
Performance testing is a type of testing that should be performed at the production level before deploying a newly retrained model. Performance testing measures how well the model meets the non-functional requirements, such as speed, scalability, reliability, availability, and resource consumption. Performance testing can help identify any bottlenecks or issues that may affect the user experience or satisfaction with the model. Reference: [Performance Testing Tutorial: What is, Types, Metrics & Example], [Performance Testing for Machine Learning Systems | by David Talby | Towards Data Science]
Florencia
12 months agoRodney
12 months agoSophia
12 months agoCatalina
12 months agoFlorencia
12 months agoSophia
12 months agoAdria
12 months agoCasie
1 years agoMattie
1 years agoGlenna
1 years agoGeraldo
1 years ago