Class Perceptron implements the standard linear (online) perceptron.
Given a maximum number of iterations (the standard perceptron algorithm is not guaranteed to converge) and a fixed lerning rate, the result is a linear classifier.
Definition at line 30 of file Perceptron.h.
Public Member Functions | |
CPerceptron () | |
CPerceptron (CDotFeatures *traindat, CLabels *trainlab) | |
virtual | ~CPerceptron () |
virtual EClassifierType | get_classifier_type () |
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 | |
virtual const char * | get_name () const |
Protected Member Functions | |
virtual bool | train_machine (CFeatures *data=NULL) |
Protected Attributes | |
float64_t | learn_rate |
int32_t | max_iter |
CPerceptron | ( | ) |
default constructor
Definition at line 17 of file Perceptron.cpp.
CPerceptron | ( | CDotFeatures * | traindat, | |
CLabels * | trainlab | |||
) |
constructor
traindat | training features | |
trainlab | labels for training features |
Definition at line 22 of file Perceptron.cpp.
~CPerceptron | ( | ) | [virtual] |
Definition at line 29 of file Perceptron.cpp.
virtual EClassifierType get_classifier_type | ( | ) | [virtual] |
get classifier type
Reimplemented from CMachine.
Definition at line 48 of file Perceptron.h.
virtual const char* get_name | ( | ) | const [virtual] |
void set_learn_rate | ( | float64_t | r | ) |
set learn rate of gradient descent training algorithm
Definition at line 51 of file Perceptron.h.
void set_max_iter | ( | int32_t | i | ) |
set maximum number of iterations
Definition at line 57 of file Perceptron.h.
bool train_machine | ( | CFeatures * | data = NULL |
) | [protected, virtual] |
train classifier
data | training data (parameter can be avoided if distance or kernel-based classifiers are used and distance/kernels are initialized with train data) |
Reimplemented from CMachine.
Definition at line 33 of file Perceptron.cpp.
float64_t learn_rate [protected] |
learning rate
Definition at line 78 of file Perceptron.h.
int32_t max_iter [protected] |
maximum number of iterations
Definition at line 80 of file Perceptron.h.