CPerceptron Class Reference
Inheritance diagram for CPerceptron:
Public Member Functions | |
| CPerceptron () | |
| CPerceptron (CRealFeatures *traindat, CLabels *trainlab) | |
| virtual | ~CPerceptron () |
| virtual EClassifierType | get_classifier_type () |
| virtual bool | train () |
| void | set_learn_rate (float64_t r) |
| set learn rate of gradient descent training algorithm | |
| void | set_max_iter (int32_t i) |
| set maximum number of iterations | |
Protected Attributes | |
| float64_t | learn_rate |
| int32_t | max_iter |
Detailed Description
class PerceptronDefinition at line 20 of file Perceptron.h.
Constructor & Destructor Documentation
| CPerceptron::CPerceptron | ( | ) |
default constructor
Definition at line 15 of file Perceptron.cpp.
| CPerceptron::CPerceptron | ( | CRealFeatures * | traindat, | |
| CLabels * | trainlab | |||
| ) |
constructor
- Parameters:
-
traindat training features trainlab labels for training features
Definition at line 20 of file Perceptron.cpp.
| CPerceptron::~CPerceptron | ( | ) | [virtual] |
Definition at line 27 of file Perceptron.cpp.
Member Function Documentation
| virtual EClassifierType CPerceptron::get_classifier_type | ( | ) | [virtual] |
get classifier type
- Returns:
- classifier type PERCEPTRON
Reimplemented from CClassifier.
Definition at line 38 of file Perceptron.h.
| void CPerceptron::set_learn_rate | ( | float64_t | r | ) |
| void CPerceptron::set_max_iter | ( | int32_t | i | ) |
| bool CPerceptron::train | ( | ) | [virtual] |
train classifier
- Returns:
- if training was successful
Reimplemented from CClassifier.
Definition at line 31 of file Perceptron.cpp.
Member Data Documentation
float64_t CPerceptron::learn_rate [protected] |
learning rate
Definition at line 60 of file Perceptron.h.
int32_t CPerceptron::max_iter [protected] |
maximum number of iterations
Definition at line 62 of file Perceptron.h.
The documentation for this class was generated from the following files: