Eager learning is a machine learning approach in which the system constructs a general target function during training before receiving specific prediction queries. It contrasts with lazy learning, where generalization is deferred until a query is made.
A learning method in which the system tries to construct a general, input-independent target function during training of the system, as opposed to lazy learning, where generalization beyond the training data is delayed until a query is made to the system.