org.opencv.ml
Class CvNormalBayesClassifier

java.lang.Object
  org.opencv.ml.CvStatModel
      org.opencv.ml.CvNormalBayesClassifier

public class CvNormalBayesClassifier
extends CvStatModel

Bayes classifier for normally distributed data.

See Also:

org.opencv.ml.CvNormalBayesClassifier : public CvStatModel

Field Summary

Fields inherited from class org.opencv.ml.CvStatModel

nativeObj

Constructor Summary

	CvNormalBayesClassifier() Default and training constructors.
protected	CvNormalBayesClassifier(long addr)
	CvNormalBayesClassifier(Mat trainData, Mat responses) Default and training constructors.
	CvNormalBayesClassifier(Mat trainData, Mat responses, Mat varIdx, Mat sampleIdx) Default and training constructors.

Method Summary

void	clear()
protected void	finalize()
float	predict(Mat samples) Predicts the response for sample(s).
float	predict(Mat samples, Mat results) Predicts the response for sample(s).
boolean	train(Mat trainData, Mat responses) Trains the model.
boolean	train(Mat trainData, Mat responses, Mat varIdx, Mat sampleIdx, boolean update) Trains the model.

Methods inherited from class org.opencv.ml.CvStatModel

load, load, save, save

Methods inherited from class java.lang.Object

clone, equals, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait

Constructor Detail

CvNormalBayesClassifier

public CvNormalBayesClassifier()

Default and training constructors.

The constructors follow conventions of "CvStatModel.CvStatModel". See "CvStatModel.train" for parameters descriptions.

See Also:

org.opencv.ml.CvNormalBayesClassifier.CvNormalBayesClassifier

CvNormalBayesClassifier

protected CvNormalBayesClassifier(long addr)

CvNormalBayesClassifier

public CvNormalBayesClassifier(Mat trainData,
                               Mat responses)

Default and training constructors.

The constructors follow conventions of "CvStatModel.CvStatModel". See "CvStatModel.train" for parameters descriptions.

Parameters:

trainData - a trainData

responses - a responses

See Also:

org.opencv.ml.CvNormalBayesClassifier.CvNormalBayesClassifier

CvNormalBayesClassifier

public CvNormalBayesClassifier(Mat trainData,
                               Mat responses,
                               Mat varIdx,
                               Mat sampleIdx)

Default and training constructors.

The constructors follow conventions of "CvStatModel.CvStatModel". See "CvStatModel.train" for parameters descriptions.

Parameters:

trainData - a trainData

responses - a responses

varIdx - a varIdx

sampleIdx - a sampleIdx

See Also:

org.opencv.ml.CvNormalBayesClassifier.CvNormalBayesClassifier

Method Detail

clear

public void clear()

finalize

protected void finalize()
                 throws java.lang.Throwable

Overrides:

finalize in class CvStatModel

Throws:

java.lang.Throwable

predict

public float predict(Mat samples)

Predicts the response for sample(s).

The method estimates the most probable classes for input vectors. Input vectors (one or more) are stored as rows of the matrix samples. In case of multiple input vectors, there should be one output vector results. The predicted class for a single input vector is returned by the method.

The function is parallelized with the TBB library.

Parameters:

samples - a samples

See Also:

org.opencv.ml.CvNormalBayesClassifier.predict

predict

public float predict(Mat samples,
                     Mat results)

Predicts the response for sample(s).

The method estimates the most probable classes for input vectors. Input vectors (one or more) are stored as rows of the matrix samples. In case of multiple input vectors, there should be one output vector results. The predicted class for a single input vector is returned by the method.

The function is parallelized with the TBB library.

Parameters:

samples - a samples

results - a results

See Also:

org.opencv.ml.CvNormalBayesClassifier.predict

train

public boolean train(Mat trainData,
                     Mat responses)

Trains the model.

The method trains the Normal Bayes classifier. It follows the conventions of the generic "CvStatModel.train" approach with the following limitations:

• Only CV_ROW_SAMPLE data layout is supported.
• Input variables are all ordered.
• Output variable is categorical, which means that elements of responses must be integer numbers, though the vector may have the CV_32FC1 type.
• Missing measurements are not supported.

Parameters:

trainData - a trainData

responses - a responses

See Also:

org.opencv.ml.CvNormalBayesClassifier.train

train

public boolean train(Mat trainData,
                     Mat responses,
                     Mat varIdx,
                     Mat sampleIdx,
                     boolean update)

Trains the model.

The method trains the Normal Bayes classifier. It follows the conventions of the generic "CvStatModel.train" approach with the following limitations:

• Only CV_ROW_SAMPLE data layout is supported.
• Input variables are all ordered.
• Output variable is categorical, which means that elements of responses must be integer numbers, though the vector may have the CV_32FC1 type.
• Missing measurements are not supported.

Parameters:

trainData - a trainData

responses - a responses

varIdx - a varIdx

sampleIdx - a sampleIdx

update - Identifies whether the model should be trained from scratch (update=false) or should be updated using the new training data (update=true).

See Also:

org.opencv.ml.CvNormalBayesClassifier.train