static void ocr_big()
{
OCRDataset train = new OCRDataset();
train.ReadTrainCSV("./data/ocr_train.csv");
OCRDataset test = new OCRDataset();
test.ReadTestCSV("./data/ocr_test.csv");
BigDecisionForest df = new BigDecisionForest(train, 10, 30000, 30000);
for (int row = 0; row < test.Inputs.Count; row++)
{
Console.WriteLine("i: " + row + "/" + test.Inputs.Count);
List<float> outputs = new List<float>();
outputs.Add(df.Classify(test.Inputs[row]));
test.Outputs.Add(outputs);
}
test.WriteTestCSV("./data/ocr_est.csv");
}
static void ocr_mc ()
{
OCRDataset train = new OCRDataset();
train.ReadTrainCSV("./data/ocr_train.csv");
MonteCarloDecisionForest.RandomMonteCarlo("./data/ocr_mc.csv", train,
NumberOfTrainingSamplesMin: 1,
NumberOfTrainingSamplesMax: 1000,
NumberOfDecisionTreesMin: 1,
NumberOfDecisionTreesMax: 100,
MaxTreeDepthMin: 1,
MaxTreeDepthMax: 100,
SamplesPerTreeMin: 1,
SamplesPerTreeMax: 100
);
}
