Classifier Parameters.  
 More...
#include <MAP.h>
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| unsigned int  | m_prioriCalcSampleStep | 
|   | A positive non-zero sample step used when calculating piori probabilities (default:5 - 1/5 of samples will be used);.  More...
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| std::vector< double >  | m_prioriProbs | 
|   | Priori probabilities, one for each class. Values from 0 to 1 (use an empty vector to allow internal calcule of priori probabilities).  More...
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Classifier Parameters. 
Definition at line 62 of file MAP.h.
 
      
        
          | te::cl::MAP::Parameters::Parameters  | 
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          | te::cl::MAP::Parameters::~Parameters  | 
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Create a clone copy of this instance. 
- Returns
 - A clone copy of this instance.
 
- Note
 - The caller will take the ownership of the returned pointer. 
 
Implements te::common::AbstractParameters.
 
 
  
  
      
        
          | void te::cl::MAP::Parameters::reset  | 
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          | throw  | ( | te::cl::Exception | 
         
        
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          | unsigned int te::cl::MAP::Parameters::m_prioriCalcSampleStep | 
        
      
 
A positive non-zero sample step used when calculating piori probabilities (default:5 - 1/5 of samples will be used);. 
Definition at line 67 of file MAP.h.
 
 
      
        
          | std::vector< double > te::cl::MAP::Parameters::m_prioriProbs | 
        
      
 
Priori probabilities, one for each class. Values from 0 to 1 (use an empty vector to allow internal calcule of priori probabilities). 
Definition at line 66 of file MAP.h.
 
 
The documentation for this class was generated from the following file:
- /home/castejon/castejon_files/develop/terralib5/git_master/src/terralib/classification/MAP.h