public LibFmTrainTester(string experimentId = "", LibFmFeatureBuilder featureBuilder = null, string dataStorePath = "",
string libFmPath = "LibFm.Net.64.exe",
double learningRate = 0.05,
int numIterations = 30,
string dimensions = "1,1,8",
FmLearnigAlgorithm alg = FmLearnigAlgorithm.MCMC,
string regularization = "0,0,0.1",
string trainFile = "",
string testFile = "")
{
_experimentId = experimentId;
//_usersItemsMap = new Mapping();
_dataStorePath = !String.IsNullOrEmpty(dataStorePath) && dataStorePath.Last() != '\\' ? dataStorePath + "\\" : dataStorePath;
if (featureBuilder == null)
{
FeatureBuilder = new LibFmFeatureBuilder();
}
else
{
FeatureBuilder = featureBuilder;
}
// default properties
LibFmPath = libFmPath;
LearningRate = learningRate;
Iterations = numIterations;
Dimensions = dimensions;
LearningAlgorithm = alg;
Regularization = regularization;
TrainFile = trainFile;
TestFile = testFile;
}
public PosFeedbackLibFmTrainTester(int i = 0, LibFmFeatureBuilder featureBuilder = null, string dataStorePath = "",
string libFmPath = "libFm.exe",
double learningRate = 0.05,
int numIterations = 30,
string dimensions = "1,1,10",
FmLearnigAlgorithm alg = FmLearnigAlgorithm.MCMC,
string regularization = "0,0,0.1")
{
_i = i;
//_usersItemsMap = new Mapping();
_dataStorePath = !String.IsNullOrEmpty(dataStorePath) && dataStorePath.Last() != '\\' ? dataStorePath + "\\" : dataStorePath;
if (featureBuilder == null)
{
FeatureBuilder = new LibFmFeatureBuilder();
}
else
{
FeatureBuilder = featureBuilder;
}
// default properties
LibFmPath = libFmPath;
LearningRate = learningRate;
Iterations = numIterations;
Dimensions = dimensions;
LearningAlgorithm = alg;
Regularization = regularization;
}
