1. A computer-implemented method of automating inductive bias selection, the method comprising: receiving, by a computer, a plurality of examples, each example providing a plurality of feature-value pairs; constructing, by the computer, an inductive bias dataset which correlates each respective example in the plurality of examples with numerical indications of training quality, wherein the numerical indications of training quality for each respective example are generated by: creating a plurality of models, each model corresponding to a distinct set of inductive biases, and evaluating training quality for each respective model when applied to the respective example; using, by the computer, the inductive bias dataset to select a plurality of inductive biases for application to one or more new datasets.