/*
libcudann
Copyright (C) 2011 Luca Donati (lucadonati85@gmail.com)
*/
/*
* LearningSet.cpp
*
* Created on: 19/nov/2010
* Author: donati
*/
#include <stdio.h>
#include <stdlib.h>
#include "LearningSet.h"
LearningSet::LearningSet(){
numOfInstances=0;
numOfInputsPerInstance=0;
numOfOutputsPerInstance=0;
inputs=NULL;
outputs=NULL;
}
/* constructor from txt file (.fann format)
* format is:
*
* NUMBER_OF_ISTANCES
* NUMBER_OF_INPUTS_PER_ISTANCE
* NUMBER_OF_OUTPUTS_PER_ISTANCE
*
* INPUT1 INPUT2 INPUT3 ...
* OUTPUT1 OUTPUT2 OUTPUT3 ...
*
* INPUT1 INPUT2 INPUT3 ...
* OUTPUT1 OUTPUT2 OUTPUT3 ...
*
* INPUT1 INPUT2 INPUT3 ...
* OUTPUT1 OUTPUT2 OUTPUT3 ...
*
* .
* .
* .
*
* spaces or \n do not matter
*/
LearningSet::LearningSet(const char * s) {
FILE * f;
f=fopen(s,"r");
//file not found
if (f!=NULL){
//file wrong format
if(fscanf(f,"%d",&numOfInstances)<1){printf("WRONG LEARNING SET FILE FORMAT\n");exit(1);}
if(fscanf(f,"%d",&numOfInputsPerInstance)<1){printf("WRONG LEARNING SET FILE FORMAT\n");exit(1);}
if(fscanf(f,"%d",&numOfOutputsPerInstance)<1){printf("WRONG LEARNING SET FILE FORMAT\n");exit(1);}
inputs = new float[numOfInstances*numOfInputsPerInstance];
outputs = new float[numOfInstances*numOfOutputsPerInstance];
for(int i=0;i<numOfInstances;i++){
for(int j=0;j<numOfInputsPerInstance;j++)
if(fscanf(f,"%f",&inputs[i*numOfInputsPerInstance+j])<1){printf("WRONG LEARNING SET FILE FORMAT\n");exit(1);}
for(int j=0;j<numOfOutputsPerInstance;j++)
if(fscanf(f,"%f",&outputs[i*numOfOutputsPerInstance+j])<1){printf("WRONG LEARNING SET FILE FORMAT\n");exit(1);}
}
fclose(f);
}
else{printf("COULDN'T OPEN THE LEARNING SET FILE\n");exit(1);}
}
// copy constructor
LearningSet::LearningSet(const LearningSet & oldSet){
numOfInstances=oldSet.numOfInstances;
numOfInputsPerInstance=oldSet.numOfInputsPerInstance;
numOfOutputsPerInstance=oldSet.numOfOutputsPerInstance;
inputs = new float[numOfInstances*numOfInputsPerInstance];
outputs = new float[numOfInstances*numOfOutputsPerInstance];
for(int i=0;i<numOfInstances;i++){
for(int j=0;j<numOfInputsPerInstance;j++)
inputs[i*numOfInputsPerInstance+j]=oldSet.inputs[i*numOfInputsPerInstance+j];
for(int j=0;j<numOfOutputsPerInstance;j++)
outputs[i*numOfOutputsPerInstance+j]=oldSet.outputs[i*numOfOutputsPerInstance+j];
}
}
LearningSet & LearningSet::operator = (const LearningSet & oldSet){
if (this != &oldSet){ // protect against invalid self-assignment
// 1: allocate new memory and copy the elements
numOfInstances=oldSet.numOfInstances;
numOfInputsPerInstance=oldSet.numOfInputsPerInstance;
numOfOutputsPerInstance=oldSet.numOfOutputsPerInstance;
float * new_inputs = new float[numOfInstances*numOfInputsPerInstance];
float * new_outputs = new float[numOfInstances*numOfOutputsPerInstance];
for(int i=0;i<numOfInstances;i++){
for(int j=0;j<numOfInputsPerInstance;j++)
new_inputs[i*numOfInputsPerInstance+j]=oldSet.inputs[i*numOfInputsPerInstance+j];
for(int j=0;j<numOfOutputsPerInstance;j++)
new_outputs[i*numOfOutputsPerInstance+j]=oldSet.outputs[i*numOfOutputsPerInstance+j];
} // 2: deallocate old memory
delete [] inputs;
delete [] outputs;
// 3: assign the new memory to the object
inputs=new_inputs;
outputs=new_outputs;
}
// by convention, always return *this
return *this;
}
LearningSet::~LearningSet() {
delete [] inputs;
delete [] outputs;
}
float *LearningSet::getInputs() const
{
return inputs;
}
int LearningSet::getNumOfInputsPerInstance() const
{
return numOfInputsPerInstance;
}
int LearningSet::getNumOfInstances() const
{
return numOfInstances;
}
int LearningSet::getNumOfOutputsPerInstance() const
{
return numOfOutputsPerInstance;
}
float *LearningSet::getOutputs() const
{
return outputs;
}