Classify a tuple of attributes with rejection class.
FeatureList is a tuple of any floating point- or integer numbers (attributes) which has to be assigned to a class with assistance of a previous trained (learn_class_box) classificator. It is possible to specify attributes as unknown by indicating the symbol '*' instead of a number. If you specify n values, then all following values, i.e. the attributes n+1 until 'max', are automatically supposed to be undefined.
If the array of attributes cannot be assigned to a class, i.e. the array does not reside inside of one of the hyper boxes, then in contrary to enquire_class_box not the next class is going to be returned, but the rejection class -1 as a result is going to be passed.
See learn_class_box for more details about the functionality of the classificator.
You may call the procedures learn_class_box and enquire_class_box alternately, so that it is possible to classify already in the phase of learning. By this means you could see when a satisfying behavior had been reached.
|
ClassifHandle (input_control) |
class_box -> integer |
| Classificator's handle number. | |
|
FeatureList (input_control) |
real-array -> real / integer / string |
| Array of attributes which has to be classified. | |
| Default value: 1.0 | |
|
Class (output_control) |
integer -> integer |
| Number of the class, to which the array of attributes had been assigned or -1 for the rejection class. | |
enquire_reject_class_box returns 2 (H_MSG_TRUE).
enquire_reject_class_box is local and processed completely exclusively without parallelization.
create_class_box, learn_class_box, set_class_box_param
learn_class_box, write_class_box, close_class_box
test_sampset_box, learn_class_box, learn_sampset_box
Foundation
