What are Tags In Machine Learning?

Often used alongside model features, tags enable metadata support for slicing and cohorting. They are a convenient workaround to analyze groups of metadata that are important, but that an ML team might not want to send as an input to a model. In other words, tags avoid conflating two separate entities — features and other metadata — while empowering deep model analysis across cohorts of any kind.