Reading of a training data set of a file.
The training examples are accessible with the key SampKey by calling procedures free_sampset and learn_sampset2. You may edit the file using an editor. Every row contains an array of attributes with corresponding class. An example for a format might be:
(1.0, 25.3, * , 17 | 3)This row specifies an array of attributes which pertains to class 3. In this array the third attribute is unknown. Attributes upwards 5 are supposed to be unknown, too. You may insert comments like /* .. */ in any place.
FileName (input_control) |
filename.named -> string |
filename of the data set to train. | |
Default value: 'sampset1' |
SampKey (output_control) |
integer -> integer |
Identification of the data set to train. |
read_sampset returns TRUE. An exception handling is raised, if it is not possible to open the file, if it contains syntax errors or if there is not enough memory.
test_sampset2, enquire_classif2, write_classif2, close_classif2, free_sampset
test_sampset2, free_sampset, learn_sampset2