public object ParseRowToObject(MLDataRow row)
{
object newSet = DataSetClass.GetInstance();
foreach (var field in row.Data)
{
newSet.GetType().GetField(field.Key).SetValue(newSet, field.Value);
}
return(newSet);
}
static void Main(string[] args)
{
LoadData();
MLModel mLModel = new MLModel(mLData.Features, "TestModelName");
mLModel.Train(mLData.Rows, "Label");
MLDataRow exampleRow = new MLDataRow();
exampleRow.Data = new Dictionary <string, object>();
exampleRow.Data.Add("SepalLength", 5.9f);
exampleRow.Data.Add("SepalWidth", 3.0f);
exampleRow.Data.Add("PetalLength", 5.1f);
exampleRow.Data.Add("PetalWidth", 1.8f);
exampleRow.Data.Add("Label", "Iris-setosa");
dynamic dynamic = mLModel.Predict(exampleRow);
Console.WriteLine(dynamic.PredictedLabels);
Console.ReadLine();
}
private static void LoadData()
{
List <MLDataRow> mLDataRows = new List <MLDataRow>();
MLDataRow newRow = new MLDataRow(); newRow.Data = new Dictionary <string, object>(); newRow.Data.Add("SepalLength", 5.1f);
newRow = new MLDataRow(); newRow.Data = new Dictionary <string, object>(); newRow.Data.Add("SepalLength", 5.1f); newRow.Data.Add("SepalWidth", 3.5f); newRow.Data.Add("PetalLength", 1.4f); newRow.Data.Add("PetalWidth", 0.2f); newRow.Data.Add("Label", "Iris-setosa");
mLDataRows.Add(newRow);
newRow = new MLDataRow(); newRow.Data = new Dictionary <string, object>(); newRow.Data.Add("SepalLength", 4.9f); newRow.Data.Add("SepalWidth", 3.0f); newRow.Data.Add("PetalLength", 1.4f); newRow.Data.Add("PetalWidth", 0.2f); newRow.Data.Add("Label", "Iris-setosa");
mLDataRows.Add(newRow);
newRow = new MLDataRow(); newRow.Data = new Dictionary <string, object>(); newRow.Data.Add("SepalLength", 4.7f); newRow.Data.Add("SepalWidth", 3.2f); newRow.Data.Add("PetalLength", 1.3f); newRow.Data.Add("PetalWidth", 0.2f); newRow.Data.Add("Label", "Iris-setosa");
mLDataRows.Add(newRow);
newRow = new MLDataRow(); newRow.Data = new Dictionary <string, object>(); newRow.Data.Add("SepalLength", 4.6f); newRow.Data.Add("SepalWidth", 3.1f); newRow.Data.Add("PetalLength", 1.5f); newRow.Data.Add("PetalWidth", 0.2f); newRow.Data.Add("Label", "Iris-setosa");
mLDataRows.Add(newRow);
newRow = new MLDataRow(); newRow.Data = new Dictionary <string, object>(); newRow.Data.Add("SepalLength", 5.0f); newRow.Data.Add("SepalWidth", 3.6f); newRow.Data.Add("PetalLength", 1.4f); newRow.Data.Add("PetalWidth", 0.2f); newRow.Data.Add("Label", "Iris-setosa");
mLDataRows.Add(newRow);
newRow = new MLDataRow(); newRow.Data = new Dictionary <string, object>(); newRow.Data.Add("SepalLength", 5.4f); newRow.Data.Add("SepalWidth", 3.9f); newRow.Data.Add("PetalLength", 1.7f); newRow.Data.Add("PetalWidth", 0.4f); newRow.Data.Add("Label", "Iris-setosa");
mLDataRows.Add(newRow);
newRow = new MLDataRow(); newRow.Data = new Dictionary <string, object>(); newRow.Data.Add("SepalLength", 4.6f); newRow.Data.Add("SepalWidth", 3.4f); newRow.Data.Add("PetalLength", 1.4f); newRow.Data.Add("PetalWidth", 0.3f); newRow.Data.Add("Label", "Iris-setosa");
mLDataRows.Add(newRow);
newRow = new MLDataRow(); newRow.Data = new Dictionary <string, object>(); newRow.Data.Add("SepalLength", 5.0f); newRow.Data.Add("SepalWidth", 3.4f); newRow.Data.Add("PetalLength", 1.5f); newRow.Data.Add("PetalWidth", 0.2f); newRow.Data.Add("Label", "Iris-setosa");
mLDataRows.Add(newRow);
newRow = new MLDataRow(); newRow.Data = new Dictionary <string, object>(); newRow.Data.Add("SepalLength", 4.4f); newRow.Data.Add("SepalWidth", 2.9f); newRow.Data.Add("PetalLength", 1.4f); newRow.Data.Add("PetalWidth", 0.2f); newRow.Data.Add("Label", "Iris-setosa");
mLDataRows.Add(newRow);
newRow = new MLDataRow(); newRow.Data = new Dictionary <string, object>(); newRow.Data.Add("SepalLength", 4.9f); newRow.Data.Add("SepalWidth", 3.1f); newRow.Data.Add("PetalLength", 1.5f); newRow.Data.Add("PetalWidth", 0.1f); newRow.Data.Add("Label", "Iris-setosa");
mLDataRows.Add(newRow);
newRow = new MLDataRow(); newRow.Data = new Dictionary <string, object>(); newRow.Data.Add("SepalLength", 5.4f); newRow.Data.Add("SepalWidth", 3.7f); newRow.Data.Add("PetalLength", 1.5f); newRow.Data.Add("PetalWidth", 0.2f); newRow.Data.Add("Label", "Iris-setosa");
mLDataRows.Add(newRow);
newRow = new MLDataRow(); newRow.Data = new Dictionary <string, object>(); newRow.Data.Add("SepalLength", 4.8f); newRow.Data.Add("SepalWidth", 3.4f); newRow.Data.Add("PetalLength", 1.6f); newRow.Data.Add("PetalWidth", 0.2f); newRow.Data.Add("Label", "Iris-setosa");
mLDataRows.Add(newRow);
newRow = new MLDataRow(); newRow.Data = new Dictionary <string, object>(); newRow.Data.Add("SepalLength", 4.8f); newRow.Data.Add("SepalWidth", 3.0f); newRow.Data.Add("PetalLength", 1.4f); newRow.Data.Add("PetalWidth", 0.1f); newRow.Data.Add("Label", "Iris-setosa");
mLDataRows.Add(newRow);
newRow = new MLDataRow(); newRow.Data = new Dictionary <string, object>(); newRow.Data.Add("SepalLength", 4.3f); newRow.Data.Add("SepalWidth", 3.0f); newRow.Data.Add("PetalLength", 1.1f); newRow.Data.Add("PetalWidth", 0.1f); newRow.Data.Add("Label", "Iris-setosa");
mLDataRows.Add(newRow);
newRow = new MLDataRow(); newRow.Data = new Dictionary <string, object>(); newRow.Data.Add("SepalLength", 5.8f); newRow.Data.Add("SepalWidth", 4.0f); newRow.Data.Add("PetalLength", 1.2f); newRow.Data.Add("PetalWidth", 0.2f); newRow.Data.Add("Label", "Iris-setosa");
mLDataRows.Add(newRow);
newRow = new MLDataRow(); newRow.Data = new Dictionary <string, object>(); newRow.Data.Add("SepalLength", 5.7f); newRow.Data.Add("SepalWidth", 4.4f); newRow.Data.Add("PetalLength", 1.5f); newRow.Data.Add("PetalWidth", 0.4f); newRow.Data.Add("Label", "Iris-setosa");
mLDataRows.Add(newRow);
newRow = new MLDataRow(); newRow.Data = new Dictionary <string, object>(); newRow.Data.Add("SepalLength", 5.4f); newRow.Data.Add("SepalWidth", 3.9f); newRow.Data.Add("PetalLength", 1.3f); newRow.Data.Add("PetalWidth", 0.4f); newRow.Data.Add("Label", "Iris-setosa");
mLDataRows.Add(newRow);
newRow = new MLDataRow(); newRow.Data = new Dictionary <string, object>(); newRow.Data.Add("SepalLength", 5.1f); newRow.Data.Add("SepalWidth", 3.5f); newRow.Data.Add("PetalLength", 1.4f); newRow.Data.Add("PetalWidth", 0.3f); newRow.Data.Add("Label", "Iris-setosa");
mLDataRows.Add(newRow);
newRow = new MLDataRow(); newRow.Data = new Dictionary <string, object>(); newRow.Data.Add("SepalLength", 5.7f); newRow.Data.Add("SepalWidth", 3.8f); newRow.Data.Add("PetalLength", 1.7f); newRow.Data.Add("PetalWidth", 0.3f); newRow.Data.Add("Label", "Iris-setosa");
mLDataRows.Add(newRow);
newRow = new MLDataRow(); newRow.Data = new Dictionary <string, object>(); newRow.Data.Add("SepalLength", 5.1f); newRow.Data.Add("SepalWidth", 3.8f); newRow.Data.Add("PetalLength", 1.5f); newRow.Data.Add("PetalWidth", 0.3f); newRow.Data.Add("Label", "Iris-setosa");
mLDataRows.Add(newRow);
newRow = new MLDataRow(); newRow.Data = new Dictionary <string, object>(); newRow.Data.Add("SepalLength", 5.4f); newRow.Data.Add("SepalWidth", 3.4f); newRow.Data.Add("PetalLength", 1.7f); newRow.Data.Add("PetalWidth", 0.2f); newRow.Data.Add("Label", "Iris-setosa");
mLDataRows.Add(newRow);
newRow = new MLDataRow(); newRow.Data = new Dictionary <string, object>(); newRow.Data.Add("SepalLength", 5.1f); newRow.Data.Add("SepalWidth", 3.7f); newRow.Data.Add("PetalLength", 1.5f); newRow.Data.Add("PetalWidth", 0.4f); newRow.Data.Add("Label", "Iris-setosa");
mLDataRows.Add(newRow);
newRow = new MLDataRow(); newRow.Data = new Dictionary <string, object>(); newRow.Data.Add("SepalLength", 4.6f); newRow.Data.Add("SepalWidth", 3.6f); newRow.Data.Add("PetalLength", 1.0f); newRow.Data.Add("PetalWidth", 0.2f); newRow.Data.Add("Label", "Iris-setosa");
mLDataRows.Add(newRow);
newRow = new MLDataRow(); newRow.Data = new Dictionary <string, object>(); newRow.Data.Add("SepalLength", 5.1f); newRow.Data.Add("SepalWidth", 3.3f); newRow.Data.Add("PetalLength", 1.7f); newRow.Data.Add("PetalWidth", 0.5f); newRow.Data.Add("Label", "Iris-setosa");
mLDataRows.Add(newRow);
newRow = new MLDataRow(); newRow.Data = new Dictionary <string, object>(); newRow.Data.Add("SepalLength", 4.8f); newRow.Data.Add("SepalWidth", 3.4f); newRow.Data.Add("PetalLength", 1.9f); newRow.Data.Add("PetalWidth", 0.2f); newRow.Data.Add("Label", "Iris-setosa");
mLDataRows.Add(newRow);
newRow = new MLDataRow(); newRow.Data = new Dictionary <string, object>(); newRow.Data.Add("SepalLength", 5.0f); newRow.Data.Add("SepalWidth", 3.0f); newRow.Data.Add("PetalLength", 1.6f); newRow.Data.Add("PetalWidth", 0.2f); newRow.Data.Add("Label", "Iris-setosa");
mLDataRows.Add(newRow);
newRow = new MLDataRow(); newRow.Data = new Dictionary <string, object>(); newRow.Data.Add("SepalLength", 5.0f); newRow.Data.Add("SepalWidth", 3.4f); newRow.Data.Add("PetalLength", 1.6f); newRow.Data.Add("PetalWidth", 0.4f); newRow.Data.Add("Label", "Iris-setosa");
mLDataRows.Add(newRow);
newRow = new MLDataRow(); newRow.Data = new Dictionary <string, object>(); newRow.Data.Add("SepalLength", 5.2f); newRow.Data.Add("SepalWidth", 3.5f); newRow.Data.Add("PetalLength", 1.5f); newRow.Data.Add("PetalWidth", 0.2f); newRow.Data.Add("Label", "Iris-setosa");
mLDataRows.Add(newRow);
newRow = new MLDataRow(); newRow.Data = new Dictionary <string, object>(); newRow.Data.Add("SepalLength", 5.2f); newRow.Data.Add("SepalWidth", 3.4f); newRow.Data.Add("PetalLength", 1.4f); newRow.Data.Add("PetalWidth", 0.2f); newRow.Data.Add("Label", "Iris-setosa");
mLDataRows.Add(newRow);
newRow = new MLDataRow(); newRow.Data = new Dictionary <string, object>(); newRow.Data.Add("SepalLength", 4.7f); newRow.Data.Add("SepalWidth", 3.2f); newRow.Data.Add("PetalLength", 1.6f); newRow.Data.Add("PetalWidth", 0.2f); newRow.Data.Add("Label", "Iris-setosa");
mLDataRows.Add(newRow);
newRow = new MLDataRow(); newRow.Data = new Dictionary <string, object>(); newRow.Data.Add("SepalLength", 4.8f); newRow.Data.Add("SepalWidth", 3.1f); newRow.Data.Add("PetalLength", 1.6f); newRow.Data.Add("PetalWidth", 0.2f); newRow.Data.Add("Label", "Iris-setosa");
mLDataRows.Add(newRow);
newRow = new MLDataRow(); newRow.Data = new Dictionary <string, object>(); newRow.Data.Add("SepalLength", 5.4f); newRow.Data.Add("SepalWidth", 3.4f); newRow.Data.Add("PetalLength", 1.5f); newRow.Data.Add("PetalWidth", 0.4f); newRow.Data.Add("Label", "Iris-setosa");
mLDataRows.Add(newRow);
newRow = new MLDataRow(); newRow.Data = new Dictionary <string, object>(); newRow.Data.Add("SepalLength", 5.2f); newRow.Data.Add("SepalWidth", 4.1f); newRow.Data.Add("PetalLength", 1.5f); newRow.Data.Add("PetalWidth", 0.1f); newRow.Data.Add("Label", "Iris-setosa");
mLDataRows.Add(newRow);
newRow = new MLDataRow(); newRow.Data = new Dictionary <string, object>(); newRow.Data.Add("SepalLength", 5.5f); newRow.Data.Add("SepalWidth", 4.2f); newRow.Data.Add("PetalLength", 1.4f); newRow.Data.Add("PetalWidth", 0.2f); newRow.Data.Add("Label", "Iris-setosa");
mLDataRows.Add(newRow);
newRow = new MLDataRow(); newRow.Data = new Dictionary <string, object>(); newRow.Data.Add("SepalLength", 4.9f); newRow.Data.Add("SepalWidth", 3.1f); newRow.Data.Add("PetalLength", 1.5f); newRow.Data.Add("PetalWidth", 0.1f); newRow.Data.Add("Label", "Iris-setosa");
mLDataRows.Add(newRow);
newRow = new MLDataRow(); newRow.Data = new Dictionary <string, object>(); newRow.Data.Add("SepalLength", 5.0f); newRow.Data.Add("SepalWidth", 3.2f); newRow.Data.Add("PetalLength", 1.2f); newRow.Data.Add("PetalWidth", 0.2f); newRow.Data.Add("Label", "Iris-setosa");
mLDataRows.Add(newRow);
newRow = new MLDataRow(); newRow.Data = new Dictionary <string, object>(); newRow.Data.Add("SepalLength", 5.5f); newRow.Data.Add("SepalWidth", 3.5f); newRow.Data.Add("PetalLength", 1.3f); newRow.Data.Add("PetalWidth", 0.2f); newRow.Data.Add("Label", "Iris-setosa");
mLDataRows.Add(newRow);
newRow = new MLDataRow(); newRow.Data = new Dictionary <string, object>(); newRow.Data.Add("SepalLength", 4.9f); newRow.Data.Add("SepalWidth", 3.1f); newRow.Data.Add("PetalLength", 1.5f); newRow.Data.Add("PetalWidth", 0.1f); newRow.Data.Add("Label", "Iris-setosa");
mLDataRows.Add(newRow);
newRow = new MLDataRow(); newRow.Data = new Dictionary <string, object>(); newRow.Data.Add("SepalLength", 4.4f); newRow.Data.Add("SepalWidth", 3.0f); newRow.Data.Add("PetalLength", 1.3f); newRow.Data.Add("PetalWidth", 0.2f); newRow.Data.Add("Label", "Iris-setosa");
mLDataRows.Add(newRow);
newRow = new MLDataRow(); newRow.Data = new Dictionary <string, object>(); newRow.Data.Add("SepalLength", 5.1f); newRow.Data.Add("SepalWidth", 3.4f); newRow.Data.Add("PetalLength", 1.5f); newRow.Data.Add("PetalWidth", 0.2f); newRow.Data.Add("Label", "Iris-setosa");
mLDataRows.Add(newRow);
newRow = new MLDataRow(); newRow.Data = new Dictionary <string, object>(); newRow.Data.Add("SepalLength", 5.0f); newRow.Data.Add("SepalWidth", 3.5f); newRow.Data.Add("PetalLength", 1.3f); newRow.Data.Add("PetalWidth", 0.3f); newRow.Data.Add("Label", "Iris-setosa");
mLDataRows.Add(newRow);
newRow = new MLDataRow(); newRow.Data = new Dictionary <string, object>(); newRow.Data.Add("SepalLength", 4.5f); newRow.Data.Add("SepalWidth", 2.3f); newRow.Data.Add("PetalLength", 1.3f); newRow.Data.Add("PetalWidth", 0.3f); newRow.Data.Add("Label", "Iris-setosa");
mLDataRows.Add(newRow);
newRow = new MLDataRow(); newRow.Data = new Dictionary <string, object>(); newRow.Data.Add("SepalLength", 4.4f); newRow.Data.Add("SepalWidth", 3.2f); newRow.Data.Add("PetalLength", 1.3f); newRow.Data.Add("PetalWidth", 0.2f); newRow.Data.Add("Label", "Iris-setosa");
mLDataRows.Add(newRow);
newRow = new MLDataRow(); newRow.Data = new Dictionary <string, object>(); newRow.Data.Add("SepalLength", 5.0f); newRow.Data.Add("SepalWidth", 3.5f); newRow.Data.Add("PetalLength", 1.6f); newRow.Data.Add("PetalWidth", 0.6f); newRow.Data.Add("Label", "Iris-setosa");
mLDataRows.Add(newRow);
newRow = new MLDataRow(); newRow.Data = new Dictionary <string, object>(); newRow.Data.Add("SepalLength", 5.1f); newRow.Data.Add("SepalWidth", 3.8f); newRow.Data.Add("PetalLength", 1.9f); newRow.Data.Add("PetalWidth", 0.4f); newRow.Data.Add("Label", "Iris-setosa");
mLDataRows.Add(newRow);
newRow = new MLDataRow(); newRow.Data = new Dictionary <string, object>(); newRow.Data.Add("SepalLength", 4.8f); newRow.Data.Add("SepalWidth", 3.0f); newRow.Data.Add("PetalLength", 1.4f); newRow.Data.Add("PetalWidth", 0.3f); newRow.Data.Add("Label", "Iris-setosa");
mLDataRows.Add(newRow);
newRow = new MLDataRow(); newRow.Data = new Dictionary <string, object>(); newRow.Data.Add("SepalLength", 5.1f); newRow.Data.Add("SepalWidth", 3.8f); newRow.Data.Add("PetalLength", 1.6f); newRow.Data.Add("PetalWidth", 0.2f); newRow.Data.Add("Label", "Iris-setosa");
mLDataRows.Add(newRow);
newRow = new MLDataRow(); newRow.Data = new Dictionary <string, object>(); newRow.Data.Add("SepalLength", 4.6f); newRow.Data.Add("SepalWidth", 3.2f); newRow.Data.Add("PetalLength", 1.4f); newRow.Data.Add("PetalWidth", 0.2f); newRow.Data.Add("Label", "Iris-setosa");
mLDataRows.Add(newRow);
newRow = new MLDataRow(); newRow.Data = new Dictionary <string, object>(); newRow.Data.Add("SepalLength", 5.3f); newRow.Data.Add("SepalWidth", 3.7f); newRow.Data.Add("PetalLength", 1.5f); newRow.Data.Add("PetalWidth", 0.2f); newRow.Data.Add("Label", "Iris-setosa");
mLDataRows.Add(newRow);
newRow = new MLDataRow(); newRow.Data = new Dictionary <string, object>(); newRow.Data.Add("SepalLength", 5.0f); newRow.Data.Add("SepalWidth", 3.3f); newRow.Data.Add("PetalLength", 1.4f); newRow.Data.Add("PetalWidth", 0.2f); newRow.Data.Add("Label", "Iris-setosa");
mLDataRows.Add(newRow);
newRow = new MLDataRow(); newRow.Data = new Dictionary <string, object>(); newRow.Data.Add("SepalLength", 7.0f); newRow.Data.Add("SepalWidth", 3.2f); newRow.Data.Add("PetalLength", 4.7f); newRow.Data.Add("PetalWidth", 1.4f); newRow.Data.Add("Label", "Iris-versicoor");
mLDataRows.Add(newRow);
newRow = new MLDataRow(); newRow.Data = new Dictionary <string, object>(); newRow.Data.Add("SepalLength", 6.4f); newRow.Data.Add("SepalWidth", 3.2f); newRow.Data.Add("PetalLength", 4.5f); newRow.Data.Add("PetalWidth", 1.5f); newRow.Data.Add("Label", "Iris-versicoor");
mLDataRows.Add(newRow);
newRow = new MLDataRow(); newRow.Data = new Dictionary <string, object>(); newRow.Data.Add("SepalLength", 6.9f); newRow.Data.Add("SepalWidth", 3.1f); newRow.Data.Add("PetalLength", 4.9f); newRow.Data.Add("PetalWidth", 1.5f); newRow.Data.Add("Label", "Iris-versicoor");
mLDataRows.Add(newRow);
newRow = new MLDataRow(); newRow.Data = new Dictionary <string, object>(); newRow.Data.Add("SepalLength", 5.5f); newRow.Data.Add("SepalWidth", 2.3f); newRow.Data.Add("PetalLength", 4.0f); newRow.Data.Add("PetalWidth", 1.3f); newRow.Data.Add("Label", "Iris-versicoor");
mLDataRows.Add(newRow);
newRow = new MLDataRow(); newRow.Data = new Dictionary <string, object>(); newRow.Data.Add("SepalLength", 6.5f); newRow.Data.Add("SepalWidth", 2.8f); newRow.Data.Add("PetalLength", 4.6f); newRow.Data.Add("PetalWidth", 1.5f); newRow.Data.Add("Label", "Iris-versicoor");
mLDataRows.Add(newRow);
newRow = new MLDataRow(); newRow.Data = new Dictionary <string, object>(); newRow.Data.Add("SepalLength", 5.7f); newRow.Data.Add("SepalWidth", 2.8f); newRow.Data.Add("PetalLength", 4.5f); newRow.Data.Add("PetalWidth", 1.3f); newRow.Data.Add("Label", "Iris-versicoor");
mLDataRows.Add(newRow);
newRow = new MLDataRow(); newRow.Data = new Dictionary <string, object>(); newRow.Data.Add("SepalLength", 6.3f); newRow.Data.Add("SepalWidth", 3.3f); newRow.Data.Add("PetalLength", 4.7f); newRow.Data.Add("PetalWidth", 1.6f); newRow.Data.Add("Label", "Iris-versicoor");
mLDataRows.Add(newRow);
newRow = new MLDataRow(); newRow.Data = new Dictionary <string, object>(); newRow.Data.Add("SepalLength", 4.9f); newRow.Data.Add("SepalWidth", 2.4f); newRow.Data.Add("PetalLength", 3.3f); newRow.Data.Add("PetalWidth", 1.0f); newRow.Data.Add("Label", "Iris-versicoor");
mLDataRows.Add(newRow);
newRow = new MLDataRow(); newRow.Data = new Dictionary <string, object>(); newRow.Data.Add("SepalLength", 6.6f); newRow.Data.Add("SepalWidth", 2.9f); newRow.Data.Add("PetalLength", 4.6f); newRow.Data.Add("PetalWidth", 1.3f); newRow.Data.Add("Label", "Iris-versicoor");
mLDataRows.Add(newRow);
newRow = new MLDataRow(); newRow.Data = new Dictionary <string, object>(); newRow.Data.Add("SepalLength", 5.2f); newRow.Data.Add("SepalWidth", 2.7f); newRow.Data.Add("PetalLength", 3.9f); newRow.Data.Add("PetalWidth", 1.4f); newRow.Data.Add("Label", "Iris-versicoor");
mLDataRows.Add(newRow);
newRow = new MLDataRow(); newRow.Data = new Dictionary <string, object>(); newRow.Data.Add("SepalLength", 5.0f); newRow.Data.Add("SepalWidth", 2.0f); newRow.Data.Add("PetalLength", 3.5f); newRow.Data.Add("PetalWidth", 1.0f); newRow.Data.Add("Label", "Iris-versicoor");
mLDataRows.Add(newRow);
newRow = new MLDataRow(); newRow.Data = new Dictionary <string, object>(); newRow.Data.Add("SepalLength", 5.9f); newRow.Data.Add("SepalWidth", 3.0f); newRow.Data.Add("PetalLength", 4.2f); newRow.Data.Add("PetalWidth", 1.5f); newRow.Data.Add("Label", "Iris-versicoor");
mLDataRows.Add(newRow);
newRow = new MLDataRow(); newRow.Data = new Dictionary <string, object>(); newRow.Data.Add("SepalLength", 6.0f); newRow.Data.Add("SepalWidth", 2.2f); newRow.Data.Add("PetalLength", 4.0f); newRow.Data.Add("PetalWidth", 1.0f); newRow.Data.Add("Label", "Iris-versicoor");
mLDataRows.Add(newRow);
newRow = new MLDataRow(); newRow.Data = new Dictionary <string, object>(); newRow.Data.Add("SepalLength", 6.1f); newRow.Data.Add("SepalWidth", 2.9f); newRow.Data.Add("PetalLength", 4.7f); newRow.Data.Add("PetalWidth", 1.4f); newRow.Data.Add("Label", "Iris-versicoor");
mLDataRows.Add(newRow);
newRow = new MLDataRow(); newRow.Data = new Dictionary <string, object>(); newRow.Data.Add("SepalLength", 5.6f); newRow.Data.Add("SepalWidth", 2.9f); newRow.Data.Add("PetalLength", 3.6f); newRow.Data.Add("PetalWidth", 1.3f); newRow.Data.Add("Label", "Iris-versicoor");
mLDataRows.Add(newRow);
newRow = new MLDataRow(); newRow.Data = new Dictionary <string, object>(); newRow.Data.Add("SepalLength", 6.7f); newRow.Data.Add("SepalWidth", 3.1f); newRow.Data.Add("PetalLength", 4.4f); newRow.Data.Add("PetalWidth", 1.4f); newRow.Data.Add("Label", "Iris-versicoor");
mLDataRows.Add(newRow);
newRow = new MLDataRow(); newRow.Data = new Dictionary <string, object>(); newRow.Data.Add("SepalLength", 5.6f); newRow.Data.Add("SepalWidth", 3.0f); newRow.Data.Add("PetalLength", 4.5f); newRow.Data.Add("PetalWidth", 1.5f); newRow.Data.Add("Label", "Iris-versicoor");
mLDataRows.Add(newRow);
newRow = new MLDataRow(); newRow.Data = new Dictionary <string, object>(); newRow.Data.Add("SepalLength", 5.8f); newRow.Data.Add("SepalWidth", 2.7f); newRow.Data.Add("PetalLength", 4.1f); newRow.Data.Add("PetalWidth", 1.0f); newRow.Data.Add("Label", "Iris-versicoor");
mLDataRows.Add(newRow);
newRow = new MLDataRow(); newRow.Data = new Dictionary <string, object>(); newRow.Data.Add("SepalLength", 6.2f); newRow.Data.Add("SepalWidth", 2.2f); newRow.Data.Add("PetalLength", 4.5f); newRow.Data.Add("PetalWidth", 1.5f); newRow.Data.Add("Label", "Iris-versicoor");
mLDataRows.Add(newRow);
newRow = new MLDataRow(); newRow.Data = new Dictionary <string, object>(); newRow.Data.Add("SepalLength", 5.6f); newRow.Data.Add("SepalWidth", 2.5f); newRow.Data.Add("PetalLength", 3.9f); newRow.Data.Add("PetalWidth", 1.1f); newRow.Data.Add("Label", "Iris-versicoor");
mLDataRows.Add(newRow);
newRow = new MLDataRow(); newRow.Data = new Dictionary <string, object>(); newRow.Data.Add("SepalLength", 5.9f); newRow.Data.Add("SepalWidth", 3.2f); newRow.Data.Add("PetalLength", 4.8f); newRow.Data.Add("PetalWidth", 1.8f); newRow.Data.Add("Label", "Iris-versicoor");
mLDataRows.Add(newRow);
newRow = new MLDataRow(); newRow.Data = new Dictionary <string, object>(); newRow.Data.Add("SepalLength", 6.1f); newRow.Data.Add("SepalWidth", 2.8f); newRow.Data.Add("PetalLength", 4.0f); newRow.Data.Add("PetalWidth", 1.3f); newRow.Data.Add("Label", "Iris-versicoor");
mLDataRows.Add(newRow);
newRow = new MLDataRow(); newRow.Data = new Dictionary <string, object>(); newRow.Data.Add("SepalLength", 6.3f); newRow.Data.Add("SepalWidth", 2.5f); newRow.Data.Add("PetalLength", 4.9f); newRow.Data.Add("PetalWidth", 1.5f); newRow.Data.Add("Label", "Iris-versicoor");
mLDataRows.Add(newRow);
newRow = new MLDataRow(); newRow.Data = new Dictionary <string, object>(); newRow.Data.Add("SepalLength", 6.1f); newRow.Data.Add("SepalWidth", 2.8f); newRow.Data.Add("PetalLength", 4.7f); newRow.Data.Add("PetalWidth", 1.2f); newRow.Data.Add("Label", "Iris-versicoor");
mLDataRows.Add(newRow);
newRow = new MLDataRow(); newRow.Data = new Dictionary <string, object>(); newRow.Data.Add("SepalLength", 6.4f); newRow.Data.Add("SepalWidth", 2.9f); newRow.Data.Add("PetalLength", 4.3f); newRow.Data.Add("PetalWidth", 1.3f); newRow.Data.Add("Label", "Iris-versicoor");
mLDataRows.Add(newRow);
newRow = new MLDataRow(); newRow.Data = new Dictionary <string, object>(); newRow.Data.Add("SepalLength", 6.6f); newRow.Data.Add("SepalWidth", 3.0f); newRow.Data.Add("PetalLength", 4.4f); newRow.Data.Add("PetalWidth", 1.4f); newRow.Data.Add("Label", "Iris-versicoor");
mLDataRows.Add(newRow);
newRow = new MLDataRow(); newRow.Data = new Dictionary <string, object>(); newRow.Data.Add("SepalLength", 6.8f); newRow.Data.Add("SepalWidth", 2.8f); newRow.Data.Add("PetalLength", 4.8f); newRow.Data.Add("PetalWidth", 1.4f); newRow.Data.Add("Label", "Iris-versicoor");
mLDataRows.Add(newRow);
newRow = new MLDataRow(); newRow.Data = new Dictionary <string, object>(); newRow.Data.Add("SepalLength", 6.7f); newRow.Data.Add("SepalWidth", 3.0f); newRow.Data.Add("PetalLength", 5.0f); newRow.Data.Add("PetalWidth", 1.7f); newRow.Data.Add("Label", "Iris-versicoor");
mLDataRows.Add(newRow);
newRow = new MLDataRow(); newRow.Data = new Dictionary <string, object>(); newRow.Data.Add("SepalLength", 6.0f); newRow.Data.Add("SepalWidth", 2.9f); newRow.Data.Add("PetalLength", 4.5f); newRow.Data.Add("PetalWidth", 1.5f); newRow.Data.Add("Label", "Iris-versicoor");
mLDataRows.Add(newRow);
newRow = new MLDataRow(); newRow.Data = new Dictionary <string, object>(); newRow.Data.Add("SepalLength", 5.7f); newRow.Data.Add("SepalWidth", 2.6f); newRow.Data.Add("PetalLength", 3.5f); newRow.Data.Add("PetalWidth", 1.0f); newRow.Data.Add("Label", "Iris-versicoor");
mLDataRows.Add(newRow);
newRow = new MLDataRow(); newRow.Data = new Dictionary <string, object>(); newRow.Data.Add("SepalLength", 5.5f); newRow.Data.Add("SepalWidth", 2.4f); newRow.Data.Add("PetalLength", 3.8f); newRow.Data.Add("PetalWidth", 1.1f); newRow.Data.Add("Label", "Iris-versicoor");
mLDataRows.Add(newRow);
newRow = new MLDataRow(); newRow.Data = new Dictionary <string, object>(); newRow.Data.Add("SepalLength", 5.5f); newRow.Data.Add("SepalWidth", 2.4f); newRow.Data.Add("PetalLength", 3.7f); newRow.Data.Add("PetalWidth", 1.0f); newRow.Data.Add("Label", "Iris-versicoor");
mLDataRows.Add(newRow);
newRow = new MLDataRow(); newRow.Data = new Dictionary <string, object>(); newRow.Data.Add("SepalLength", 5.8f); newRow.Data.Add("SepalWidth", 2.7f); newRow.Data.Add("PetalLength", 3.9f); newRow.Data.Add("PetalWidth", 1.2f); newRow.Data.Add("Label", "Iris-versicoor");
mLDataRows.Add(newRow);
newRow = new MLDataRow(); newRow.Data = new Dictionary <string, object>(); newRow.Data.Add("SepalLength", 6.0f); newRow.Data.Add("SepalWidth", 2.7f); newRow.Data.Add("PetalLength", 5.1f); newRow.Data.Add("PetalWidth", 1.6f); newRow.Data.Add("Label", "Iris-versicoor");
mLDataRows.Add(newRow);
newRow = new MLDataRow(); newRow.Data = new Dictionary <string, object>(); newRow.Data.Add("SepalLength", 5.4f); newRow.Data.Add("SepalWidth", 3.0f); newRow.Data.Add("PetalLength", 4.5f); newRow.Data.Add("PetalWidth", 1.5f); newRow.Data.Add("Label", "Iris-versicoor");
mLDataRows.Add(newRow);
newRow = new MLDataRow(); newRow.Data = new Dictionary <string, object>(); newRow.Data.Add("SepalLength", 6.0f); newRow.Data.Add("SepalWidth", 3.4f); newRow.Data.Add("PetalLength", 4.5f); newRow.Data.Add("PetalWidth", 1.6f); newRow.Data.Add("Label", "Iris-versicoor");
mLDataRows.Add(newRow);
newRow = new MLDataRow(); newRow.Data = new Dictionary <string, object>(); newRow.Data.Add("SepalLength", 6.7f); newRow.Data.Add("SepalWidth", 3.1f); newRow.Data.Add("PetalLength", 4.7f); newRow.Data.Add("PetalWidth", 1.5f); newRow.Data.Add("Label", "Iris-versicoor");
mLDataRows.Add(newRow);
newRow = new MLDataRow(); newRow.Data = new Dictionary <string, object>(); newRow.Data.Add("SepalLength", 6.3f); newRow.Data.Add("SepalWidth", 2.3f); newRow.Data.Add("PetalLength", 4.4f); newRow.Data.Add("PetalWidth", 1.3f); newRow.Data.Add("Label", "Iris-versicoor");
mLDataRows.Add(newRow);
newRow = new MLDataRow(); newRow.Data = new Dictionary <string, object>(); newRow.Data.Add("SepalLength", 5.6f); newRow.Data.Add("SepalWidth", 3.0f); newRow.Data.Add("PetalLength", 4.1f); newRow.Data.Add("PetalWidth", 1.3f); newRow.Data.Add("Label", "Iris-versicoor");
mLDataRows.Add(newRow);
newRow = new MLDataRow(); newRow.Data = new Dictionary <string, object>(); newRow.Data.Add("SepalLength", 5.5f); newRow.Data.Add("SepalWidth", 2.5f); newRow.Data.Add("PetalLength", 4.0f); newRow.Data.Add("PetalWidth", 1.3f); newRow.Data.Add("Label", "Iris-versicoor");
mLDataRows.Add(newRow);
newRow = new MLDataRow(); newRow.Data = new Dictionary <string, object>(); newRow.Data.Add("SepalLength", 5.5f); newRow.Data.Add("SepalWidth", 2.6f); newRow.Data.Add("PetalLength", 4.4f); newRow.Data.Add("PetalWidth", 1.2f); newRow.Data.Add("Label", "Iris-versicoor");
mLDataRows.Add(newRow);
newRow = new MLDataRow(); newRow.Data = new Dictionary <string, object>(); newRow.Data.Add("SepalLength", 6.1f); newRow.Data.Add("SepalWidth", 3.0f); newRow.Data.Add("PetalLength", 4.6f); newRow.Data.Add("PetalWidth", 1.4f); newRow.Data.Add("Label", "Iris-versicoor");
mLDataRows.Add(newRow);
newRow = new MLDataRow(); newRow.Data = new Dictionary <string, object>(); newRow.Data.Add("SepalLength", 5.8f); newRow.Data.Add("SepalWidth", 2.6f); newRow.Data.Add("PetalLength", 4.0f); newRow.Data.Add("PetalWidth", 1.2f); newRow.Data.Add("Label", "Iris-versicoor");
mLDataRows.Add(newRow);
newRow = new MLDataRow(); newRow.Data = new Dictionary <string, object>(); newRow.Data.Add("SepalLength", 5.0f); newRow.Data.Add("SepalWidth", 2.3f); newRow.Data.Add("PetalLength", 3.3f); newRow.Data.Add("PetalWidth", 1.0f); newRow.Data.Add("Label", "Iris-versicoor");
mLDataRows.Add(newRow);
newRow = new MLDataRow(); newRow.Data = new Dictionary <string, object>(); newRow.Data.Add("SepalLength", 5.6f); newRow.Data.Add("SepalWidth", 2.7f); newRow.Data.Add("PetalLength", 4.2f); newRow.Data.Add("PetalWidth", 1.3f); newRow.Data.Add("Label", "Iris-versicoor");
mLDataRows.Add(newRow);
newRow = new MLDataRow(); newRow.Data = new Dictionary <string, object>(); newRow.Data.Add("SepalLength", 5.7f); newRow.Data.Add("SepalWidth", 3.0f); newRow.Data.Add("PetalLength", 4.2f); newRow.Data.Add("PetalWidth", 1.2f); newRow.Data.Add("Label", "Iris-versicoor");
mLDataRows.Add(newRow);
newRow = new MLDataRow(); newRow.Data = new Dictionary <string, object>(); newRow.Data.Add("SepalLength", 5.7f); newRow.Data.Add("SepalWidth", 2.9f); newRow.Data.Add("PetalLength", 4.2f); newRow.Data.Add("PetalWidth", 1.3f); newRow.Data.Add("Label", "Iris-versicoor");
mLDataRows.Add(newRow);
newRow = new MLDataRow(); newRow.Data = new Dictionary <string, object>(); newRow.Data.Add("SepalLength", 6.2f); newRow.Data.Add("SepalWidth", 2.9f); newRow.Data.Add("PetalLength", 4.3f); newRow.Data.Add("PetalWidth", 1.3f); newRow.Data.Add("Label", "Iris-versicoor");
mLDataRows.Add(newRow);
newRow = new MLDataRow(); newRow.Data = new Dictionary <string, object>(); newRow.Data.Add("SepalLength", 5.1f); newRow.Data.Add("SepalWidth", 2.5f); newRow.Data.Add("PetalLength", 3.0f); newRow.Data.Add("PetalWidth", 1.1f); newRow.Data.Add("Label", "Iris-versicoor");
mLDataRows.Add(newRow);
newRow = new MLDataRow(); newRow.Data = new Dictionary <string, object>(); newRow.Data.Add("SepalLength", 5.7f); newRow.Data.Add("SepalWidth", 2.8f); newRow.Data.Add("PetalLength", 4.1f); newRow.Data.Add("PetalWidth", 1.3f); newRow.Data.Add("Label", "Iris-versicoor");
mLDataRows.Add(newRow);
newRow = new MLDataRow(); newRow.Data = new Dictionary <string, object>(); newRow.Data.Add("SepalLength", 6.3f); newRow.Data.Add("SepalWidth", 3.3f); newRow.Data.Add("PetalLength", 6.0f); newRow.Data.Add("PetalWidth", 2.5f); newRow.Data.Add("Label", "Iris-virginia");
mLDataRows.Add(newRow);
newRow = new MLDataRow(); newRow.Data = new Dictionary <string, object>(); newRow.Data.Add("SepalLength", 5.8f); newRow.Data.Add("SepalWidth", 2.7f); newRow.Data.Add("PetalLength", 5.1f); newRow.Data.Add("PetalWidth", 1.9f); newRow.Data.Add("Label", "Iris-virginia");
mLDataRows.Add(newRow);
newRow = new MLDataRow(); newRow.Data = new Dictionary <string, object>(); newRow.Data.Add("SepalLength", 7.1f); newRow.Data.Add("SepalWidth", 3.0f); newRow.Data.Add("PetalLength", 5.9f); newRow.Data.Add("PetalWidth", 2.1f); newRow.Data.Add("Label", "Iris-virginia");
mLDataRows.Add(newRow);
newRow = new MLDataRow(); newRow.Data = new Dictionary <string, object>(); newRow.Data.Add("SepalLength", 6.3f); newRow.Data.Add("SepalWidth", 2.9f); newRow.Data.Add("PetalLength", 5.6f); newRow.Data.Add("PetalWidth", 1.8f); newRow.Data.Add("Label", "Iris-virginia");
mLDataRows.Add(newRow);
newRow = new MLDataRow(); newRow.Data = new Dictionary <string, object>(); newRow.Data.Add("SepalLength", 6.5f); newRow.Data.Add("SepalWidth", 3.0f); newRow.Data.Add("PetalLength", 5.8f); newRow.Data.Add("PetalWidth", 2.2f); newRow.Data.Add("Label", "Iris-virginia");
mLDataRows.Add(newRow);
newRow = new MLDataRow(); newRow.Data = new Dictionary <string, object>(); newRow.Data.Add("SepalLength", 7.6f); newRow.Data.Add("SepalWidth", 3.0f); newRow.Data.Add("PetalLength", 6.6f); newRow.Data.Add("PetalWidth", 2.1f); newRow.Data.Add("Label", "Iris-virginia");
mLDataRows.Add(newRow);
newRow = new MLDataRow(); newRow.Data = new Dictionary <string, object>(); newRow.Data.Add("SepalLength", 4.9f); newRow.Data.Add("SepalWidth", 2.5f); newRow.Data.Add("PetalLength", 4.5f); newRow.Data.Add("PetalWidth", 1.7f); newRow.Data.Add("Label", "Iris-virginia");
mLDataRows.Add(newRow);
newRow = new MLDataRow(); newRow.Data = new Dictionary <string, object>(); newRow.Data.Add("SepalLength", 7.3f); newRow.Data.Add("SepalWidth", 2.9f); newRow.Data.Add("PetalLength", 6.3f); newRow.Data.Add("PetalWidth", 1.8f); newRow.Data.Add("Label", "Iris-virginia");
mLDataRows.Add(newRow);
newRow = new MLDataRow(); newRow.Data = new Dictionary <string, object>(); newRow.Data.Add("SepalLength", 6.7f); newRow.Data.Add("SepalWidth", 2.5f); newRow.Data.Add("PetalLength", 5.8f); newRow.Data.Add("PetalWidth", 1.8f); newRow.Data.Add("Label", "Iris-virginia");
mLDataRows.Add(newRow);
newRow = new MLDataRow(); newRow.Data = new Dictionary <string, object>(); newRow.Data.Add("SepalLength", 7.2f); newRow.Data.Add("SepalWidth", 3.6f); newRow.Data.Add("PetalLength", 6.1f); newRow.Data.Add("PetalWidth", 2.5f); newRow.Data.Add("Label", "Iris-virginia");
mLDataRows.Add(newRow);
newRow = new MLDataRow(); newRow.Data = new Dictionary <string, object>(); newRow.Data.Add("SepalLength", 6.5f); newRow.Data.Add("SepalWidth", 3.2f); newRow.Data.Add("PetalLength", 5.1f); newRow.Data.Add("PetalWidth", 2.0f); newRow.Data.Add("Label", "Iris-virginia");
mLDataRows.Add(newRow);
newRow = new MLDataRow(); newRow.Data = new Dictionary <string, object>(); newRow.Data.Add("SepalLength", 6.4f); newRow.Data.Add("SepalWidth", 2.7f); newRow.Data.Add("PetalLength", 5.3f); newRow.Data.Add("PetalWidth", 1.9f); newRow.Data.Add("Label", "Iris-virginia");
mLDataRows.Add(newRow);
newRow = new MLDataRow(); newRow.Data = new Dictionary <string, object>(); newRow.Data.Add("SepalLength", 6.8f); newRow.Data.Add("SepalWidth", 3.0f); newRow.Data.Add("PetalLength", 5.5f); newRow.Data.Add("PetalWidth", 2.1f); newRow.Data.Add("Label", "Iris-virginia");
mLDataRows.Add(newRow);
newRow = new MLDataRow(); newRow.Data = new Dictionary <string, object>(); newRow.Data.Add("SepalLength", 5.7f); newRow.Data.Add("SepalWidth", 2.5f); newRow.Data.Add("PetalLength", 5.0f); newRow.Data.Add("PetalWidth", 2.0f); newRow.Data.Add("Label", "Iris-virginia");
mLDataRows.Add(newRow);
newRow = new MLDataRow(); newRow.Data = new Dictionary <string, object>(); newRow.Data.Add("SepalLength", 5.8f); newRow.Data.Add("SepalWidth", 2.8f); newRow.Data.Add("PetalLength", 5.1f); newRow.Data.Add("PetalWidth", 2.4f); newRow.Data.Add("Label", "Iris-virginia");
mLDataRows.Add(newRow);
newRow = new MLDataRow(); newRow.Data = new Dictionary <string, object>(); newRow.Data.Add("SepalLength", 6.4f); newRow.Data.Add("SepalWidth", 3.2f); newRow.Data.Add("PetalLength", 5.3f); newRow.Data.Add("PetalWidth", 2.3f); newRow.Data.Add("Label", "Iris-virginia");
mLDataRows.Add(newRow);
newRow = new MLDataRow(); newRow.Data = new Dictionary <string, object>(); newRow.Data.Add("SepalLength", 6.5f); newRow.Data.Add("SepalWidth", 3.0f); newRow.Data.Add("PetalLength", 5.5f); newRow.Data.Add("PetalWidth", 1.8f); newRow.Data.Add("Label", "Iris-virginia");
mLDataRows.Add(newRow);
newRow = new MLDataRow(); newRow.Data = new Dictionary <string, object>(); newRow.Data.Add("SepalLength", 7.7f); newRow.Data.Add("SepalWidth", 3.8f); newRow.Data.Add("PetalLength", 6.7f); newRow.Data.Add("PetalWidth", 2.2f); newRow.Data.Add("Label", "Iris-virginia");
mLDataRows.Add(newRow);
newRow = new MLDataRow(); newRow.Data = new Dictionary <string, object>(); newRow.Data.Add("SepalLength", 7.7f); newRow.Data.Add("SepalWidth", 2.6f); newRow.Data.Add("PetalLength", 6.9f); newRow.Data.Add("PetalWidth", 2.3f); newRow.Data.Add("Label", "Iris-virginia");
mLDataRows.Add(newRow);
newRow = new MLDataRow(); newRow.Data = new Dictionary <string, object>(); newRow.Data.Add("SepalLength", 6.0f); newRow.Data.Add("SepalWidth", 2.2f); newRow.Data.Add("PetalLength", 5.0f); newRow.Data.Add("PetalWidth", 1.5f); newRow.Data.Add("Label", "Iris-virginia");
mLDataRows.Add(newRow);
newRow = new MLDataRow(); newRow.Data = new Dictionary <string, object>(); newRow.Data.Add("SepalLength", 6.9f); newRow.Data.Add("SepalWidth", 3.2f); newRow.Data.Add("PetalLength", 5.7f); newRow.Data.Add("PetalWidth", 2.3f); newRow.Data.Add("Label", "Iris-virginia");
mLDataRows.Add(newRow);
newRow = new MLDataRow(); newRow.Data = new Dictionary <string, object>(); newRow.Data.Add("SepalLength", 5.6f); newRow.Data.Add("SepalWidth", 2.8f); newRow.Data.Add("PetalLength", 4.9f); newRow.Data.Add("PetalWidth", 2.0f); newRow.Data.Add("Label", "Iris-virginia");
mLDataRows.Add(newRow);
newRow = new MLDataRow(); newRow.Data = new Dictionary <string, object>(); newRow.Data.Add("SepalLength", 7.7f); newRow.Data.Add("SepalWidth", 2.8f); newRow.Data.Add("PetalLength", 6.7f); newRow.Data.Add("PetalWidth", 2.0f); newRow.Data.Add("Label", "Iris-virginia");
mLDataRows.Add(newRow);
newRow = new MLDataRow(); newRow.Data = new Dictionary <string, object>(); newRow.Data.Add("SepalLength", 6.3f); newRow.Data.Add("SepalWidth", 2.7f); newRow.Data.Add("PetalLength", 4.9f); newRow.Data.Add("PetalWidth", 1.8f); newRow.Data.Add("Label", "Iris-virginia");
mLDataRows.Add(newRow);
newRow = new MLDataRow(); newRow.Data = new Dictionary <string, object>(); newRow.Data.Add("SepalLength", 6.7f); newRow.Data.Add("SepalWidth", 3.3f); newRow.Data.Add("PetalLength", 5.7f); newRow.Data.Add("PetalWidth", 2.1f); newRow.Data.Add("Label", "Iris-virginia");
mLDataRows.Add(newRow);
newRow = new MLDataRow(); newRow.Data = new Dictionary <string, object>(); newRow.Data.Add("SepalLength", 7.2f); newRow.Data.Add("SepalWidth", 3.2f); newRow.Data.Add("PetalLength", 6.0f); newRow.Data.Add("PetalWidth", 1.8f); newRow.Data.Add("Label", "Iris-virginia");
mLDataRows.Add(newRow);
newRow = new MLDataRow(); newRow.Data = new Dictionary <string, object>(); newRow.Data.Add("SepalLength", 6.2f); newRow.Data.Add("SepalWidth", 2.8f); newRow.Data.Add("PetalLength", 4.8f); newRow.Data.Add("PetalWidth", 1.8f); newRow.Data.Add("Label", "Iris-virginia");
mLDataRows.Add(newRow);
newRow = new MLDataRow(); newRow.Data = new Dictionary <string, object>(); newRow.Data.Add("SepalLength", 6.1f); newRow.Data.Add("SepalWidth", 3.0f); newRow.Data.Add("PetalLength", 4.9f); newRow.Data.Add("PetalWidth", 1.8f); newRow.Data.Add("Label", "Iris-virginia");
mLDataRows.Add(newRow);
newRow = new MLDataRow(); newRow.Data = new Dictionary <string, object>(); newRow.Data.Add("SepalLength", 6.4f); newRow.Data.Add("SepalWidth", 2.8f); newRow.Data.Add("PetalLength", 5.6f); newRow.Data.Add("PetalWidth", 2.1f); newRow.Data.Add("Label", "Iris-virginia");
mLDataRows.Add(newRow);
newRow = new MLDataRow(); newRow.Data = new Dictionary <string, object>(); newRow.Data.Add("SepalLength", 7.2f); newRow.Data.Add("SepalWidth", 3.0f); newRow.Data.Add("PetalLength", 5.8f); newRow.Data.Add("PetalWidth", 1.6f); newRow.Data.Add("Label", "Iris-virginia");
mLDataRows.Add(newRow);
newRow = new MLDataRow(); newRow.Data = new Dictionary <string, object>(); newRow.Data.Add("SepalLength", 7.4f); newRow.Data.Add("SepalWidth", 2.8f); newRow.Data.Add("PetalLength", 6.1f); newRow.Data.Add("PetalWidth", 1.9f); newRow.Data.Add("Label", "Iris-virginia");
mLDataRows.Add(newRow);
newRow = new MLDataRow(); newRow.Data = new Dictionary <string, object>(); newRow.Data.Add("SepalLength", 7.9f); newRow.Data.Add("SepalWidth", 3.8f); newRow.Data.Add("PetalLength", 6.4f); newRow.Data.Add("PetalWidth", 2.0f); newRow.Data.Add("Label", "Iris-virginia");
mLDataRows.Add(newRow);
newRow = new MLDataRow(); newRow.Data = new Dictionary <string, object>(); newRow.Data.Add("SepalLength", 6.4f); newRow.Data.Add("SepalWidth", 2.8f); newRow.Data.Add("PetalLength", 5.6f); newRow.Data.Add("PetalWidth", 2.2f); newRow.Data.Add("Label", "Iris-virginia");
mLDataRows.Add(newRow);
newRow = new MLDataRow(); newRow.Data = new Dictionary <string, object>(); newRow.Data.Add("SepalLength", 6.3f); newRow.Data.Add("SepalWidth", 2.8f); newRow.Data.Add("PetalLength", 5.1f); newRow.Data.Add("PetalWidth", 1.5f); newRow.Data.Add("Label", "Iris-virginia");
mLDataRows.Add(newRow);
newRow = new MLDataRow(); newRow.Data = new Dictionary <string, object>(); newRow.Data.Add("SepalLength", 6.1f); newRow.Data.Add("SepalWidth", 2.6f); newRow.Data.Add("PetalLength", 5.6f); newRow.Data.Add("PetalWidth", 1.4f); newRow.Data.Add("Label", "Iris-virginia");
mLDataRows.Add(newRow);
newRow = new MLDataRow(); newRow.Data = new Dictionary <string, object>(); newRow.Data.Add("SepalLength", 7.7f); newRow.Data.Add("SepalWidth", 3.0f); newRow.Data.Add("PetalLength", 6.1f); newRow.Data.Add("PetalWidth", 2.3f); newRow.Data.Add("Label", "Iris-virginia");
mLDataRows.Add(newRow);
newRow = new MLDataRow(); newRow.Data = new Dictionary <string, object>(); newRow.Data.Add("SepalLength", 6.3f); newRow.Data.Add("SepalWidth", 3.4f); newRow.Data.Add("PetalLength", 5.6f); newRow.Data.Add("PetalWidth", 2.4f); newRow.Data.Add("Label", "Iris-virginia");
mLDataRows.Add(newRow);
newRow = new MLDataRow(); newRow.Data = new Dictionary <string, object>(); newRow.Data.Add("SepalLength", 6.4f); newRow.Data.Add("SepalWidth", 3.1f); newRow.Data.Add("PetalLength", 5.5f); newRow.Data.Add("PetalWidth", 1.8f); newRow.Data.Add("Label", "Iris-virginia");
mLDataRows.Add(newRow);
newRow = new MLDataRow(); newRow.Data = new Dictionary <string, object>(); newRow.Data.Add("SepalLength", 6.0f); newRow.Data.Add("SepalWidth", 3.0f); newRow.Data.Add("PetalLength", 4.8f); newRow.Data.Add("PetalWidth", 1.8f); newRow.Data.Add("Label", "Iris-virginia");
mLDataRows.Add(newRow);
newRow = new MLDataRow(); newRow.Data = new Dictionary <string, object>(); newRow.Data.Add("SepalLength", 6.9f); newRow.Data.Add("SepalWidth", 3.1f); newRow.Data.Add("PetalLength", 5.4f); newRow.Data.Add("PetalWidth", 2.1f); newRow.Data.Add("Label", "Iris-virginia");
mLDataRows.Add(newRow);
newRow = new MLDataRow(); newRow.Data = new Dictionary <string, object>(); newRow.Data.Add("SepalLength", 6.7f); newRow.Data.Add("SepalWidth", 3.1f); newRow.Data.Add("PetalLength", 5.6f); newRow.Data.Add("PetalWidth", 2.4f); newRow.Data.Add("Label", "Iris-virginia");
mLDataRows.Add(newRow);
newRow = new MLDataRow(); newRow.Data = new Dictionary <string, object>(); newRow.Data.Add("SepalLength", 6.9f); newRow.Data.Add("SepalWidth", 3.1f); newRow.Data.Add("PetalLength", 5.1f); newRow.Data.Add("PetalWidth", 2.3f); newRow.Data.Add("Label", "Iris-virginia");
mLDataRows.Add(newRow);
newRow = new MLDataRow(); newRow.Data = new Dictionary <string, object>(); newRow.Data.Add("SepalLength", 5.8f); newRow.Data.Add("SepalWidth", 2.7f); newRow.Data.Add("PetalLength", 5.1f); newRow.Data.Add("PetalWidth", 1.9f); newRow.Data.Add("Label", "Iris-virginia");
mLDataRows.Add(newRow);
newRow = new MLDataRow(); newRow.Data = new Dictionary <string, object>(); newRow.Data.Add("SepalLength", 6.8f); newRow.Data.Add("SepalWidth", 3.2f); newRow.Data.Add("PetalLength", 5.9f); newRow.Data.Add("PetalWidth", 2.3f); newRow.Data.Add("Label", "Iris-virginia");
mLDataRows.Add(newRow);
newRow = new MLDataRow(); newRow.Data = new Dictionary <string, object>(); newRow.Data.Add("SepalLength", 6.7f); newRow.Data.Add("SepalWidth", 3.3f); newRow.Data.Add("PetalLength", 5.7f); newRow.Data.Add("PetalWidth", 2.5f); newRow.Data.Add("Label", "Iris-virginia");
mLDataRows.Add(newRow);
newRow = new MLDataRow(); newRow.Data = new Dictionary <string, object>(); newRow.Data.Add("SepalLength", 6.7f); newRow.Data.Add("SepalWidth", 3.0f); newRow.Data.Add("PetalLength", 5.2f); newRow.Data.Add("PetalWidth", 2.3f); newRow.Data.Add("Label", "Iris-virginia");
mLDataRows.Add(newRow);
newRow = new MLDataRow(); newRow.Data = new Dictionary <string, object>(); newRow.Data.Add("SepalLength", 6.3f); newRow.Data.Add("SepalWidth", 2.5f); newRow.Data.Add("PetalLength", 5.0f); newRow.Data.Add("PetalWidth", 1.9f); newRow.Data.Add("Label", "Iris-virginia");
mLDataRows.Add(newRow);
newRow = new MLDataRow(); newRow.Data = new Dictionary <string, object>(); newRow.Data.Add("SepalLength", 6.5f); newRow.Data.Add("SepalWidth", 3.0f); newRow.Data.Add("PetalLength", 5.2f); newRow.Data.Add("PetalWidth", 2.0f); newRow.Data.Add("Label", "Iris-virginia");
mLDataRows.Add(newRow);
newRow = new MLDataRow(); newRow.Data = new Dictionary <string, object>(); newRow.Data.Add("SepalLength", 6.2f); newRow.Data.Add("SepalWidth", 3.4f); newRow.Data.Add("PetalLength", 5.4f); newRow.Data.Add("PetalWidth", 2.3f); newRow.Data.Add("Label", "Iris-virginia");
mLDataRows.Add(newRow);
newRow = new MLDataRow(); newRow.Data = new Dictionary <string, object>(); newRow.Data.Add("SepalLength", 5.9f); newRow.Data.Add("SepalWidth", 3.0f); newRow.Data.Add("PetalLength", 5.1f); newRow.Data.Add("PetalWidth", 1.8f); newRow.Data.Add("Label", "Iris-virginia");
mLDataRows.Add(newRow);
mLData.Rows = mLDataRows.ToArray();
}
public static List <MLDataRow> ConvertReplayJsonToDataRow(ReplayJson json)
{
List <MLDataRow> dataRows = new List <MLDataRow>();
MLDataRow referenceRow = new MLDataRow();
referenceRow.Ball.ActorID = nullActorID;
referenceRow.Player.ActorID = nullActorID;
referenceRow.EnemyPlayer.ActorID = nullActorID;
//I need to find in which team I was
long playerTeamNumber = 0;
foreach (PlayerStat player in json.Properties.PlayerStats)
{
if (player.Name == Properties.Settings.Default.SteamUsername)
{
//My name is hardcoded.... but I could find a more intelligent way to do it
//TODO: find a better way to find the player's team, I could probably find info on the person who saved the replay
// and find his player
playerTeamNumber = player.Team;
}
}
for (int frameNo = 0; frameNo < json.Frames.Length; frameNo++)
{
MLDataRow currentFrameRow = new MLDataRow()
{
Number = frameNo,
Time = json.Frames[frameNo].Time,
Ball = new Ball()
{
ActorID = referenceRow.Ball.ActorID
},
Player = new Player()
{
ActorID = referenceRow.Player.ActorID
},
EnemyPlayer = new Player()
{
ActorID = referenceRow.EnemyPlayer.ActorID
}
};
foreach (long deletedID in json.Frames[frameNo].DeletedActorIds)
{
//These are the actors who get deleted, the ball and players during a goal, also players who get demo'd
//I blank their ID just to make sure I don't put false position for them... for now, I won't give them
//any "blank" position.... I think the best way is to just let them at the position they were when they disapeared
if (referenceRow.Ball.ActorID == int.Parse(deletedID.ToString()))
{
referenceRow.Ball.ActorID = nullActorID;
currentFrameRow.Ball.ActorID = nullActorID;
}
else if (referenceRow.Player.ActorID == int.Parse(deletedID.ToString()))
{
referenceRow.Player.ActorID = nullActorID;
currentFrameRow.Player.ActorID = nullActorID;
}
else if (referenceRow.EnemyPlayer.ActorID == int.Parse(deletedID.ToString()))
{
referenceRow.EnemyPlayer.ActorID = nullActorID;
currentFrameRow.EnemyPlayer.ActorID = nullActorID;
}
}
foreach (ActorUpdate update in json.Frames[frameNo].ActorUpdates)
{
Location actorLocation = new Location();
string actorRotationX = String.Empty;
string actorRotationY = String.Empty;
string actorRotationZ = String.Empty;
if (update?.TaGameRbActorTaReplicatedRbState?.Position != null)
{
actorLocation = new Location(int.Parse(update.TaGameRbActorTaReplicatedRbState.Position.X.ToString()), int.Parse(update.TaGameRbActorTaReplicatedRbState.Position.Y.ToString()), int.Parse(update.TaGameRbActorTaReplicatedRbState.Position.Z.ToString()));
}
if (update?.TaGameRbActorTaReplicatedRbState?.Rotation != null)
{
actorRotationX = update.TaGameRbActorTaReplicatedRbState.Rotation.X.ToString().Replace(',', '.');
actorRotationY = update.TaGameRbActorTaReplicatedRbState.Rotation.Y.ToString().Replace(',', '.');
actorRotationZ = update.TaGameRbActorTaReplicatedRbState.Rotation.Z.ToString().Replace(',', '.');
}
if (update.ClassName == "TAGame.Ball_TA")
{
//The ball gets updated, we'll put its ID and location up to date
currentFrameRow.Ball.ActorID = int.Parse(update.Id.ToString());
referenceRow.Ball.ActorID = int.Parse(update.Id.ToString());
}
else if (update.ClassName == "TAGame.Car_TA")
{
//A car was update
if (update.TaGameCarTaTeamPaint != null)
{
//if I get the team paint, I can get in which team the player was
if (update.TaGameCarTaTeamPaint.TeamNumber == playerTeamNumber)
{
currentFrameRow.Player.ActorID = int.Parse(update.Id.ToString());
referenceRow.Player.ActorID = int.Parse(update.Id.ToString());
}
else
{
currentFrameRow.EnemyPlayer.ActorID = int.Parse(update.Id.ToString());
referenceRow.EnemyPlayer.ActorID = int.Parse(update.Id.ToString());
}
}
}
if (update.Id == currentFrameRow.Ball.ActorID)
{
currentFrameRow.Ball.Location = actorLocation;
if (update.TaGameRbActorTaReplicatedRbState.LinearVelocity != null)
{
currentFrameRow.Ball.Velocity = new Location(int.Parse(update.TaGameRbActorTaReplicatedRbState.LinearVelocity.X.ToString()), int.Parse(update.TaGameRbActorTaReplicatedRbState.LinearVelocity.Y.ToString()), int.Parse(update.TaGameRbActorTaReplicatedRbState.LinearVelocity.Z.ToString()));
}
}
else if (update.Id == currentFrameRow.Player.ActorID)
{
currentFrameRow.Player.Location = actorLocation;
currentFrameRow.Player.RotationX = actorRotationX;
currentFrameRow.Player.RotationY = actorRotationY;
currentFrameRow.Player.RotationZ = actorRotationZ;
}
else if (update.Id == currentFrameRow.EnemyPlayer.ActorID)
{
currentFrameRow.EnemyPlayer.Location = actorLocation;
currentFrameRow.EnemyPlayer.RotationX = actorRotationX;
currentFrameRow.EnemyPlayer.RotationY = actorRotationY;
currentFrameRow.EnemyPlayer.RotationZ = actorRotationZ;
}
}
//if we have no position for an element on this frame, we'll assume the object has the same position he had last frame
if (currentFrameRow.Player.Location.Equals(Location.Empty))
{
if (frameNo > 0)
{
currentFrameRow.Player.Location = dataRows[frameNo - 1].Player.Location;
currentFrameRow.Player.RotationX = dataRows[frameNo - 1].Player.RotationX;
currentFrameRow.Player.RotationY = dataRows[frameNo - 1].Player.RotationY;
currentFrameRow.Player.RotationZ = dataRows[frameNo - 1].Player.RotationZ;
}
}
if (currentFrameRow.EnemyPlayer.Location.Equals(Location.Empty))
{
if (frameNo > 0)
{
currentFrameRow.EnemyPlayer.Location = dataRows[frameNo - 1].EnemyPlayer.Location;
currentFrameRow.EnemyPlayer.RotationX = dataRows[frameNo - 1].EnemyPlayer.RotationX;
currentFrameRow.EnemyPlayer.RotationY = dataRows[frameNo - 1].EnemyPlayer.RotationY;
currentFrameRow.EnemyPlayer.RotationZ = dataRows[frameNo - 1].EnemyPlayer.RotationZ;
}
}
if (currentFrameRow.Ball.Location.Equals(Location.Empty))
{
if (frameNo > 0)
{
currentFrameRow.Ball.Location = dataRows[frameNo - 1].Ball.Location;
}
}
//we finish looking for replications in a frame, let's add the frame to our list of row
dataRows.Add(currentFrameRow);
}
//This is what we do it all for!find which frames gave a goal!
foreach (Goal goal in json.Properties.Goals)
{
//we will take every frame before a goal until the goal happens for a set number a frame. these are the frames that we consider good
double minTimeForGoal = goal.Time - _TimeBeforeGoal;
if (minTimeForGoal < 1)
{
//this will make sure a goal scored in under the _TimeBeforeGoal doesn't crash
minTimeForGoal = 1;
}
if (goal.PlayerTeam == 0)
{
foreach (MLDataRow row in dataRows)
{
if (row.Time >= minTimeForGoal && row.Time <= goal.Time)
{
//these are the frames that scored a goal for the player's team! :D
//these are good patterns that lead to a goal! so we give it the highest possible score : 100
if (row.Label == 50)
{
//I have to make sure it was an unchanged label! if the _nbFrameBeforeGoal goes to the previous play, I don' want to override that play's score
//so the score if 50 makes sure that the label hasn't been changed yet
row.Label = 100;
}
}
}
}
else if (goal.PlayerTeam == 1)
{
foreach (MLDataRow row in dataRows)
{
if (row.Time >= minTimeForGoal && row.Time <= goal.Time)
{
//these are the frames that scored a goal for the enemy team! :'(
//these are bad patterns that lead to a goal in the wrong net! so we give it the lowest possible score : 0
if (row.Label == 50)
{
//Same thing as the positive outcome, I have the make sure I only label previously unlabeled rows
row.Label = 0;
}
}
}
}
}
int nbUselessRow = 0;
foreach (MLDataRow row in dataRows)
{
if (row.Ball.Velocity.Equals(Location.Empty))
{
//If the ball had absolutely no velocity, I'm going to assume that there wasn't anything meaningful going on
//This will cut out pre-faceoff and post-goal time where the ball is not moving (after being deleted for exemple)
row.Useful = false;
nbUselessRow++;
}
}
return(dataRows);
}
public object Predict(MLDataRow example)
{
return(Predict(ParseRowToObject(example)));
}