Classifier Parameters.
More...
#include <MAP.h>
|
| 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...
|
| |
| 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...
|
| |
Classifier Parameters.
Definition at line 62 of file MAP.h.
| te::cl::MAP::Parameters::Parameters |
( |
| ) |
|
| te::cl::MAP::Parameters::~Parameters |
( |
| ) |
|
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 |
( |
| ) |
|
| throw | ( | te::cl::Exception |
| ) | | |
|
virtual |
| 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