1. A computer-implemented system comprising: one or more computers; one or more data storage devices coupled to the one or more computers; the one or more data storage devices storing: a repository of training functions; a repository of trained predictive models; and instructions that, when executed by the one or more computers, cause the one or more computers to perform operations comprising: receiving over a network a plurality of sets of predictive modeling training data from a first plurality of client computing systems; for each set of plurality of sets of predictive modeling training data: using the training data and a plurality of training functions obtained from the repository to train a plurality of predictive models; generating a score for each of the plurality of trained predictive models, where each score represents an estimation of the effectiveness of the respective trained predictive model; and selecting a trained predictive model from among the plurality of trained predictive models based on the generated scores; wherein a plurality of trained predictive models are thereby generated and selected; storing the plurality of selected trained predictive models in the repository of trained predictive models; and providing access to the plurality of trained predictive models to a second plurality of client computing systems.
1. A computer-implemented system comprising: one or more computers; one or more data storage devices coupled to the one or more computers; the one or more data storage devices storing: a repository of training functions; a repository of trained predictive models; and instructions that, when executed by the one or more computers, cause the one or more computers to perform operations comprising: receiving over a network a plurality of sets of predictive modeling training data from a first plurality of client computing systems; for each set of plurality of sets of predictive modeling training data: using the training data and a plurality of training functions obtained from the repository to train a plurality of predictive models; generating a score for each of the plurality of trained predictive models, where each score represents an estimation of the effectiveness of the respective trained predictive model; and selecting a trained predictive model from among the plurality of trained predictive models based on the generated scores; wherein a plurality of trained predictive models are thereby generated and selected; storing the plurality of selected trained predictive models in the repository of trained predictive models; and providing access to the plurality of trained predictive models to a second plurality of client computing systems. 3. The system of claim 1 , wherein providing access to the plurality of trained predictive models includes providing a web page accessible by the second plurality of client computing systems that is configured for the second plurality of client computing systems to browse the repository of trained predictive models that are available for use by the second plurality of client computing systems.