Creates and returns a new learner_bn object for use in learning of CPTs from case data, and associates it with a given Netica environment.

After creating this object, you use it to set the learning parameters you want, and then you pass it to a learning function, such as LearnCPTs_bn, to actually perform the learning on some net using some data file. When done, you discard the learner_bn with DeleteLearner_bn.

Pass NULL for options; it is only for future expansion.

method must be one of COUNTING_LEARNING, EM_LEARNING, or GRADIENT_DESCENT_LEARNING. See LearnCPTs_bn for a description of how each learning algorithm operates.