Abstract: The disclosed embodiments relate to a system that uses data from an online social network to optimize subscription offers. During operation of the online social network, the system gathers data associated with subscription offers that were presented to members of the online social network, including information about which subscription offers were converted. Next, the system uses a machine-learning technique to train a model based on the gathered data. Finally, the system uses the trained model to select subscription offers to present to a member of the online social network.

Abstract: The disclosed embodiments provide a method and system for processing data. During operation, the system obtains a dependency graph associated with feature selection in a statistical model, wherein nodes in the dependency graph include one or more feature sources, one or more transformers, and an assembler. Next, the system uses the dependency graph to derive an evaluation order associated with the nodes. The system then compiles a set of configurations for the statistical model according to the evaluation order.

Abstract: The disclosed embodiments provide a system and method for processing data. The system includes a model compiler that obtains a first configuration for a statistical model. The first configuration may include one or more compilation parameters associated with feature selection in the statistical model. Next, the model compiler uses the compilation parameter(s) and a first set of input features for the first configuration to generate a first feature subset for use with the statistical model and include the first feature subset in a first compiled form of the first configuration. The system also includes an execution engine that uses the first compiled form to execute the statistical model.

Abstract: The disclosed embodiments relate to a system that uses data from an online social network to optimize subscription offers. During operation of the online social network, the system gathers data associated with subscription offers that were presented to members of the online social network, including information about which subscription offers were converted. Next, the system uses a machine-learning technique to train a model based on the gathered data. Finally, the system uses the trained model to select subscription offers to present to a member of the online social network.