Class RTrees

The class implements the random forest predictor.

Inheritance
System.Object
DisposableObject
DisposableCvObject
Algorithm
StatModel
DTrees
RTrees
Implements
Inherited Members
Namespace: OpenCvSharp.ML
Assembly: OpenCvSharp.dll
Syntax
public class RTrees : DTrees, ICvPtrHolder

Constructors

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RTrees(IntPtr)

Creates instance by raw pointer cv::ml::RTrees*

Declaration
protected RTrees(IntPtr p)
Parameters
Type Name Description
IntPtr p

Properties

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ActiveVarCount

The size of the randomly selected subset of features at each tree node and that are used to find the best split(s).

Declaration
public int ActiveVarCount { get; set; }
Property Value
Type Description
System.Int32
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CalculateVarImportance

If true then variable importance will be calculated and then it can be retrieved by RTrees::getVarImportance. Default value is false.

Declaration
public bool CalculateVarImportance { get; set; }
Property Value
Type Description
System.Boolean
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TermCriteria

The termination criteria that specifies when the training algorithm stops.

Declaration
public TermCriteria TermCriteria { get; set; }
Property Value
Type Description
OpenCvSharp.TermCriteria

Methods

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Create()

Creates the empty model.

Declaration
public static RTrees Create()
Returns
Type Description
RTrees
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DisposeManaged()

Releases managed resources

Declaration
protected override void DisposeManaged()
Overrides
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DisposeUnmanaged()

Declaration
protected override void DisposeUnmanaged()
Overrides
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Get()

Declaration
public override IntPtr Get()
Returns
Type Description
IntPtr
Overrides
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GetVarImportance()

Returns the variable importance array. The method returns the variable importance vector, computed at the training stage when CalculateVarImportance is set to true. If this flag was set to false, the empty matrix is returned.

Declaration
public Mat GetVarImportance()
Returns
Type Description
Mat
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Load(String)

Loads and creates a serialized model from a file.

Declaration
public static RTrees Load(string filePath)
Parameters
Type Name Description
System.String filePath
Returns
Type Description
RTrees
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LoadFromString(String)

Loads algorithm from a String.

Declaration
public static RTrees LoadFromString(string strModel)
Parameters
Type Name Description
System.String strModel

he string variable containing the model you want to load.
Returns
Type Description
RTrees

Implements