Training is inference, except over model space instead of possible outputs. Depending on what models you're looking at, the two can have very different computat

Training is inference, except over model space instead of possible outputs. Depending on what models you're looking at, the two can have very different computational properties, so treating them separately is not surprising even if what they're doing is conceptually similar.