perceptron Class Reference

single layer perceptron implementation using nn::Linear More...

#include <perceptron.h>

Public Member Functions
	perceptron (std::vector< std::vector< double > > const &, const int epochs=100, const double learning_rate=0.001)
	default constructor for perceptron class
void	fit ()
	fit a single perceptron on the input data
double	predict (std::vector< double > const &)
	performs inference, classifying to 1 or -1

Detailed Description

single layer perceptron implementation using nn::Linear

Constructor & Destructor Documentation

perceptron()

perceptron::perceptron ( std::vector< std::vector< double > > const & data, const int epochs = 100, const double learning_rate = 0.001 )

inlineexplicit

default constructor for perceptron class

Parameters

data	2D vector, The input data. As usual, the last element of each sub-vector represents the label of the row
epochs(int)	The number of epochs
learning_rate(double)	The learning rate

Member Function Documentation

predict()

double perceptron::predict ( std::vector< double > const & input )

inline

performs inference, classifying to 1 or -1

Parameters

input

1D vector, the passed validation data

Returns

double: 1.0 or -1.0(binary)

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The documentation for this class was generated from the following file:

• /Users/runner/work/AlgoPlus/AlgoPlus/src/machine_learning/nn/perceptron.h