A molecule elicits a taste perception by interacting with taste receptors in the mouth as determined by its steric and electronic properties . As a result, the taste of a molecule should be a function of its underlying chemical structure. Over the past decade, machine learning methods have repeatedly demonstrated the ability to computationally predict molecular properties when provided with sufficient data . By learning the relationship between molecular data and chemical structure, these models can predict properties even for compounds for which no data was initially available.