Dangers of distribution shift. Fig. also highlights the dangers of distribution shift : if an SVDD is trained and evaluated in a fruit ripening room, then deployed for inference in a different fruit ripening room that experiences, say, a larger variance in the humidity σ H 2 O , the performance of the SVDD will diminish. The SVDD may need to be retrained when transferring it to new environments.