Make predictions for test cases using neural network model. Net-pred prints guesses at the target values for a set of test cases.
Guesses are as defined by a network or set of networks.
If the true targets are known, performance of the guesses can also be evaluated. Inputs can be printed as well. If Annealed Importance Sampling was used, the marginal likelihood of the model will be displayed. The networks to use in making guesses are taken from the records with the given ranges of indexes in the given log files. The outputs of all these networks are combined to give a single guess for each case.