|NORSYS SOFTWARE © 2012||NETICA API||C   VERSION   5.04 |
|learner_bn* NewLearner_bn (||learn_method_bn method, const char* options, environ_ns* env )|
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.
|SetLearnerMaxIters_bn||Set the maximum number of iterations (if applicable) it will do when learning|
|SetLearnerMaxTol_bn||Set the maximum tolerance (if applicable) it will allow before termination|
|LearnCPTs_bn||Performs the learning|
|DeleteLearner_bn||Discard the learner_bn|
|NewRandomGenerator_ns||May also want this to control randomization|