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TClassesListItem Methods

The methods of the TClassesListItem class are listed here.

 
Name 
Description 
 
Classify record with mixed real and discrete attributes.  
 
Classify record with discrete attributes.  
 
Classify record with real valued attributes.  
 
Learn a new new record containing both discrete and real attributes. Learn the values of discrete attributes of the new example from the NewDiscreterRecod and learn the values of continuous (real valued) attributes of the new example from the NewFloatRecord. Although the real valued and discrete attributes belong to the same example (same recoord), they are processed separately. The position (index) within the arrays of specific attributes may not change between consecutive calls to Learn method. 
 
Learn the values of discrete attributes of the new example.  
 
Learn the values of continuous (real valued) attributes of the new example.  
 
Load the object from the stream.  
 
Compute prior probability after the learning has been completed.  
 
Reset learned data.  
 
Reset Weigths field to zero for all attributes.  
 
Save the object to stream.  
 
Resets learned data without reseting weights and excluded attributes.  
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