enquire_reject_class_box — Classify a tuple of attributes with rejection class.
enquire_reject_class_box is obsolete and is only provided for
reasons of backward compatibility. New applications should use the
MLP, SVM, KNN or GMM operators instead.
enquire_reject_class_box( : : ClassifHandle, FeatureList : 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) classifier. 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 classifier.
You may call the operators 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 → (handle)
Handle of the classifier.
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).
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