本文整理汇总了C#中Accord.MachineLearning.DecisionTrees.DecisionTree.GetHeight方法的典型用法代码示例。如果您正苦于以下问题：C# DecisionTree.GetHeight方法的具体用法？C# DecisionTree.GetHeight怎么用？C# DecisionTree.GetHeight使用的例子？那么恭喜您, 这里精选的方法代码示例或许可以为您提供帮助。您也可以进一步了解该方法所在类Accord.MachineLearning.DecisionTrees.DecisionTree的用法示例。
在下文中一共展示了DecisionTree.GetHeight方法的1个代码示例，这些例子默认根据受欢迎程度排序。您可以为喜欢或者感觉有用的代码点赞，您的评价将有助于系统推荐出更棒的C#代码示例。
示例1: LargeSampleTest_WithRepetition
public void LargeSampleTest_WithRepetition()
{
Accord.Math.Tools.SetupGenerator(0);
int[][] dataSamples = Matrix.Random(500, 3, 0, 10).ToInt32().ToArray();
int[] target = Matrix.Random(500, 1, 0, 2).ToInt32().GetColumn(0);
DecisionVariable[] features =
{
new DecisionVariable("Outlook", 10),
new DecisionVariable("Temperature", 10),
new DecisionVariable("Humidity", 10),
};
DecisionTree tree = new DecisionTree(features, 2);
ID3Learning id3Learning = new ID3Learning(tree)
{
Rejection = false,
Join = 2 // every variable can join two times
};
double error = id3Learning.Run(dataSamples, target);
int height = tree.GetHeight();
Assert.AreEqual(6, height);
foreach (var node in tree)
{
if (node.IsLeaf)
Assert.IsNotNull(node.Output);
}
Assert.IsTrue(error < 0.15);
}