DTreesRegressionAccuracy Property

Termination criteria for regression trees. If all absolute differences between an estimated value in a node and values of train samples in this node are less than this parameter then the node will not be split further. Default value is 0.01f.

Namespace: OpenCvSharp.ML
Assembly: OpenCvSharp (in OpenCvSharp.dll) Version: 3.4.1.20180605-33-CaRLSharp

Syntax

C++

JavaScript

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public float RegressionAccuracy { get; set; }

Public Property RegressionAccuracy As Single
	Get
	Set

public:
property float RegressionAccuracy {
	float get ();
	void set (float value);
}

member RegressionAccuracy : float32 with get, set

function get_RegressionAccuracy();
function set_RegressionAccuracy(value);

Property Value

Type: Single

Reference

DTrees Class

OpenCvSharp.ML Namespace

DTreesAddLanguageSpecificTextSet("LSTADB1D1D6_0?cpp=::|nu=.");RegressionAccuracy Property

Property Value

Reference

DTreesRegressionAccuracy Property