Classify a set of arrays.
In contrast to learn_sampset_box there is not a learning here. Typically you use test_sampset_box to classify independent test data. Error gives you information about the applicability of the learned training set on new examples.
|
ClassifHandle (input_control) |
class_box -> integer |
| Classificator's handle number. | |
|
SampKey (input_control) |
feature_set -> integer |
| Key of the test data. | |
|
Error (output_control) |
real -> real |
| Error during the assignment. | |
test_sampset_box returns 2 (H_MSG_TRUE). An exception handling is raised, if if key SampKey does not exist or problems occur while opening the file.
test_sampset_box is local and processed completely exclusively without parallelization.
create_class_box, learn_class_box, set_class_box_param
enquire_class_box, learn_class_box, write_class_box, close_class_box, clear_sampset
enquire_class_box, learn_class_box, learn_sampset_box, read_sampset
Tools
