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modelPoissonDropout.h
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modelPoissonDropout.h
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// TMF + Dropout
#ifndef _MODEL_POISSON_DROPOUT_H_
#define _MODEL_POISSON_DROPOUT_H_
#include <iostream>
#include <vector>
#include <set>
#include <cstdio>
#include <utility>
#include <unordered_set>
#include <string>
#include <omp.h>
#include <cmath>
#include <algorithm>
#include "io.h"
#include "util.h"
#include "model.h"
#include "svdFrmsvdlib.h"
#define DISP_ITER 50
#define SAVE_ITER 100
class ModelPoissonDropout : public Model {
public:
std::vector<double> userRankMap;
std::vector<double> itemRankMap;
std::vector<double> userFreq;
std::vector<double> itemFreq;
std::vector<double> factorial;
std::vector<double> fDimWt;
std::vector<int> cdfRanks;
double minFreq;
double maxFreq;
double meanFreq;
double stdFreq;
ModelPoissonDropout(const Params& params, std::vector<double>& userRankMap,
std::vector<double>& itemRankMap, std::vector<double>& userFreq,
std::vector<double>& itemFreq) : Model(params),
userRankMap(userRankMap), itemRankMap(itemRankMap),
userFreq(userFreq), itemFreq(itemFreq) {
//intialize factorial table
factorial.push_back(1);
for (int i = 1; i <= params.facDim+1; i++) {
factorial.push_back(factorial.back()*((double)i));
}
fDimWt = std::vector<double>(params.facDim, 0);
minFreq = minVec(userFreq);
maxFreq = maxVec(userFreq);
double temp = minVec(itemFreq);
if (minFreq > temp) {
minFreq = temp;
}
temp = maxVec(itemFreq);
if (maxFreq < temp) {
maxFreq = temp;
}
std::vector<double> concatVec(userFreq.begin(), userFreq.end());
concatVec.insert(concatVec.end(), itemFreq.begin(), itemFreq.end());
auto meanStd = meanStdDev(concatVec);
meanFreq = meanStd.first;
stdFreq = meanStd.second;
initCDFRanks();
}
ModelPoissonDropout(const Params& params, int seed, std::vector<double>& userRankMap,
std::vector<double>& itemRankMap, std::vector<double>& userFreq,
std::vector<double>& itemFreq) : Model(params, seed),
userRankMap(userRankMap), itemRankMap(itemRankMap),
userFreq(userFreq), itemFreq(itemFreq) {
//intialize factorial table
factorial.push_back(1);
for (int i = 1; i <= params.facDim+1; i++) {
factorial.push_back(factorial.back()*((double)i));
}
fDimWt = std::vector<double>(params.facDim, 0);
minFreq = minVec(userFreq);
maxFreq = maxVec(userFreq);
double temp = minVec(itemFreq);
if (minFreq > temp) {
minFreq = temp;
}
temp = maxVec(itemFreq);
if (maxFreq < temp) {
maxFreq = temp;
}
std::vector<double> concatVec(userFreq.begin(), userFreq.end());
concatVec.insert(concatVec.end(), itemFreq.begin(), itemFreq.end());
auto meanStd = meanStdDev(concatVec);
meanFreq = meanStd.first;
stdFreq = meanStd.second;
initCDFRanks();
}
ModelPoissonDropout(const Params& params, const char*uFacName, const char* iFacName,
int seed, std::vector<double>& userRankMap,
std::vector<double>& itemRankMap, std::vector<double>& userFreq,
std::vector<double>& itemFreq): Model(params, uFacName, iFacName, seed),
userRankMap(userRankMap), itemRankMap(itemRankMap),
userFreq(userFreq), itemFreq(itemFreq) {
//intialize factorial table
factorial.push_back(1);
for (int i = 1; i <= params.facDim+1; i++) {
factorial.push_back(factorial.back()*((double)i));
}
fDimWt = std::vector<double>(params.facDim, 0);
minFreq = minVec(userFreq);
maxFreq = maxVec(userFreq);
double temp = minVec(itemFreq);
if (minFreq > temp) {
minFreq = temp;
}
temp = maxVec(itemFreq);
if (maxFreq < temp) {
maxFreq = temp;
}
std::vector<double> concatVec(userFreq.begin(), userFreq.end());
concatVec.insert(concatVec.end(), itemFreq.begin(), itemFreq.end());
auto meanStd = meanStdDev(concatVec);
meanFreq = meanStd.first;
stdFreq = meanStd.second;
initCDFRanks();
}
ModelPoissonDropout(const Params& params, int seed) : Model(params, seed) {
//intialize factorial table
factorial.push_back(1);
for (int i = 1; i <= params.facDim+1; i++) {
factorial.push_back(factorial.back()*((double)i));
}
fDimWt = std::vector<double>(params.facDim, 0);
minFreq = minVec(userFreq);
maxFreq = maxVec(userFreq);
double temp = minVec(itemFreq);
if (minFreq > temp) {
minFreq = temp;
}
temp = maxVec(itemFreq);
if (maxFreq < temp) {
maxFreq = temp;
}
std::vector<double> concatVec(userFreq.begin(), userFreq.end());
concatVec.insert(concatVec.end(), itemFreq.begin(), itemFreq.end());
auto meanStd = meanStdDev(concatVec);
meanFreq = meanStd.first;
stdFreq = meanStd.second;
initCDFRanks();
}
virtual void train(const Data& data, Model &bestModel,
std::unordered_set<int>& invalidUsers,
std::unordered_set<int>& invalidItems) override;
virtual double estRating(int user, int item) override;
void initCDFRanks();
};
#endif