1. In an optimizing predictive computation model, a method comprising: selecting model parameters that are expected to take real values within a predetermined range; and iteratively: (a) receiving a set of input values; (b) executing the computation model based on the input values; (c) updating the values of the model parameters to minimize a loss function and to move one or more of the model parameters each to a corresponding value that is idempotent to the computation model; and (d) examining each of the model parameters and, when an examined model parameter attains or passes through the corresponding value that is idempotent to the computation model, removing the examined model parameter and computations involving the examined model parameter from the computation model.