private void RandomForest(List <Tuple <double[], double> > data)
{
Splitter splitter = new ShannonEntropySplitter();
RandomForestAlgorithm randomForestAlgorithm = new BoostingAlgorithmus();
foreach (var item in netMLObject.Options)
{
if (item == "shannonentropysplitter")
{
splitter = new ShannonEntropySplitter();
}
else if (item == "giniindexsplitter")
{
splitter = new GiniImpuritySplitter();
}
else if (item == "bagging")
{
randomForestAlgorithm = new BaggingAlgorithmus(10);
}
else if (item == "boosting")
{
randomForestAlgorithm = new BoostingAlgorithmus();
}
}
classification = new RandomForestClassifier(data, splitter, randomForestAlgorithm);
}
private void DecissionTree(List <Tuple <double[], double> > data)
{
Splitter splitter = new ShannonEntropySplitter();
foreach (var item in netMLObject.Options)
{
if (item == "shannonentropysplitter")
{
splitter = new ShannonEntropySplitter();
}
else if (item == "giniindexsplitter")
{
splitter = new GiniImpuritySplitter();
}
}
classification = new DecisionTreeClassifier(data, splitter);
}
