Classifier Parameters.
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#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.
◆ Parameters()
te::cl::MAP::Parameters::Parameters |
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◆ ~Parameters()
te::cl::MAP::Parameters::~Parameters |
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◆ clone()
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.
◆ operator=()
◆ reset()
void te::cl::MAP::Parameters::reset |
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◆ m_prioriCalcSampleStep
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.
◆ m_prioriProbs
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_release/src/terralib/classification/MAP.h