Class NormalBayesClassifier

Namespace

OpenCvSharp.ML

Assembly

OpenCvSharp.dll

Bayes classifier for normally distributed data

public class NormalBayesClassifier : StatModel, IDisposable

Inheritance

object

CvObject

CvPtrObject

Algorithm

StatModel

NormalBayesClassifier

Implements

IDisposable

Inherited Members

StatModel.GetVarCount()

StatModel.Empty()

StatModel.IsTrained()

StatModel.IsClassifier()

StatModel.Train(TrainData, int)

StatModel.Train(InputArray, SampleTypes, InputArray)

StatModel.CalcError(TrainData, bool, OutputArray)

StatModel.Predict(InputArray, OutputArray, StatModel.Flags)

Algorithm.Write(FileStorage)

Algorithm.Read(FileNode)

Algorithm.Save(string)

Algorithm.GetDefaultName()

CvPtrObject.RawPtr

CvObject.IsDisposed

CvObject.ptr

CvObject.SetSafeHandle(OpenCvSafeHandle)

CvObject.SetPostReleaseAction(Action)

CvObject.Dispose()

CvObject.Dispose(bool)

CvObject.DisposeManaged()

CvObject.DisposeUnmanaged()

CvObject.ThrowIfDisposed()

CvObject.CvPtr

object.Equals(object)

object.Equals(object, object)

object.GetHashCode()

object.GetType()

object.MemberwiseClone()

object.ReferenceEquals(object, object)

object.ToString()

Methods

Create()

Creates empty model. Use StatModel::train to train the model after creation.

Load(string)

Loads and creates a serialized model from a file.

LoadFromString(string)

Loads algorithm from a String.

PredictProb(InputArray, OutputArray, OutputArray, int)

Predicts the response for sample(s).