Classification of a tupel of attributes with rejection class.
FeatureList is a tupel of any floating point- or integer numbers (attributes) which has to be assigned to a class with assistance of a previous trained (learn_classif2) 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 supposed to be undefined automatically.
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_classif2 not the next class is going to be returned, but the rejection class -1 as a result is going to be passed.
You will find more details about the functionality in learn_classif2.
You may call the procedures learn_classif2 and enquire_classif2 alternately, so that it is possible to classificate already in the phase of learning. By this means you may indicate if a satisfying behavior had been reached.
FeatureList (input_control) |
real-array -> real / integer / string |
Array of attributes, which has to be classificate. | |
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_classif2 returns TRUE. An exception handling is raised, if there exists no current classificator (see set_classif2).
create_classif2, learn_classif2, set_classif2, set_classif2_param
learn_classif2, write_classif2, close_classif2
test_sampset2, get_classif2, learn_classif2, learn_sampset2, set_classif2